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Speaker 1: Media.

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Speaker 2: Damn, they got me feeling like white. Michael Clayton, I'm

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Speaker 2: at Zeitron and this is Better Offlines coverage of the

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Speaker 2: Consumer Electronics Show. We are as we have been all

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Speaker 2: week here in the beautiful Palazza Hotel in beautiful Las Vegas, Nevada,

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Speaker 2: bringing you yet another episode covering CS with the crazy

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Speaker 2: assortment of guests from the tech industry. We've got an

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Speaker 2: open bar, tacos and places to sit down for the

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Speaker 2: members of the media, whether they join us on the

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Speaker 2: microphone or not. This is our second episode of the day.

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Speaker 2: It's Thursday, and we've got two more on Friday and

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Speaker 2: an epilogue on Saturday. Then they're going to roll me

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Speaker 2: into one of the aqueducts here and flush me into

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Speaker 2: the sewer. But before they do that, it's time to

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Speaker 2: introduce the latest contestants on the CES Challenge. Joining me

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Speaker 2: as ever as stand up comedian and star of it

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Speaker 2: is this thing on Chloe Radcliffe. No, no, not any more,

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Speaker 2: No not unfortunately, no.

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Speaker 1: Very fortunately it can still here. You can't get rid of.

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Speaker 2: Me, and we will not be and of course it

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Speaker 2: could happen. Here's Garrison Davis. Hello, good morning, and take

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Speaker 2: writer Rob Pegoraro joining us once again.

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Speaker 3: It's good to be back.

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Speaker 2: It sure is good to have you. Lovely to see you.

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Speaker 3: So yeah, what have you been up to?

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Speaker 2: What have you seen today?

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Speaker 3: I've been at LVCC all day. What did you LVCC?

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Speaker 4: Oh my goodness, are you realized? I said good morning

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Speaker 4: because the Cees time distortions turned to kick in. Oh.

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Speaker 2: Absolutely, well you were in like Tokyo a week ago,

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Speaker 2: so your time is.

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Speaker 4: Well the best best is an interesting word. The most

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Speaker 4: interesting thing I saw today is I happened to arrive

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Speaker 4: at the LG booth right as their Home Assistant Robot

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Speaker 4: demo stored for the first time.

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Speaker 3: Cloyd Lloyd cloydge.

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Speaker 4: So I got to see that that in action right

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Speaker 4: for their for their first demo.

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Speaker 2: Walk me through the action part of this action, Like,

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Speaker 2: how was the action?

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Speaker 1: Maybe it's maybe more proper to say I got to

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Speaker 1: see Cloyd in Oh it was.

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Speaker 3: It was action.

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Speaker 4: It was breathtaking because it's going to change so many

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Speaker 4: people's lives. How so, so they gave us three different scenarios.

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Speaker 4: One is you have this clumsy dad who always forgets

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Speaker 4: his keys, and the robot is able to find the keys,

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Speaker 4: then put them somewhere else, which is an interesting solution

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Speaker 4: to the problem of losing your keys because it was

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Speaker 4: a frame them. So this this this clumsy father of

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Speaker 4: too put left his keys on the couch. Then the

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Speaker 4: robot walks in from the couch and grabs him from

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Speaker 4: the couch and moves him to a different location in

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Speaker 4: the house, which seems like a ma she that just

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Speaker 4: makes you lose your keys.

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Speaker 2: The jesta ai, I am here to add chaos to

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Speaker 2: you alive.

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Speaker 4: So it was frame is losing your keys, but it's

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Speaker 4: just the robot moving keys around.

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Speaker 2: Right? What was what speed did it do this? Would

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Speaker 2: you say? Uh, just like real slight. It's very slow.

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Speaker 4: Its second segment was like a rich single guy who

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Speaker 4: doesn't have anyone living with him, who has this robot

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Speaker 4: as a quote unquote roommate, and the roommate mostly does laundry.

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Speaker 4: And I watched this robot sped I kid you, not

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Speaker 4: ninety seconds putting a single shirt in the washing machine

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Speaker 4: and then also spent I would say, about two minutes

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Speaker 4: attempting to fold a towel. How did you do again,

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Speaker 4: I use the word attempt it. Yeah, it got about

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Speaker 4: half the towel folded. After two minutes and then was

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Speaker 4: directed towards the next part of the demo, so it

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Speaker 4: could not finish the folding a single towel task. I'm

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Speaker 4: sure if you give it five minutes, it could fold

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Speaker 4: a towel.

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Speaker 1: And that's actually a high amount of confidence based on

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Speaker 1: everything you described.

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Speaker 2: Yeah, we trained it entirely on Stona Dato.

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Speaker 3: Yeah, it moves like someone who's headweight too much weed.

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Speaker 1: Uh.

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Speaker 4: And then by the time the time the third demo started,

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Speaker 4: I had I had to go.

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Speaker 2: I had enough.

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Speaker 4: But it was like a medal age woman who's whose

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Speaker 4: robot was like trying to get her to like work

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Speaker 4: out more.

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Speaker 2: I saw that one and I mentioned earlier it was

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Speaker 2: like here you go and it's got like one pound

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Speaker 2: weights and she goes, thanks Cloyd. If you didn't give

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Speaker 2: me this, I wouldn't even move.

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Speaker 4: The most the most interesting part of the demo was

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Speaker 4: and like I got to see like the robot, you know,

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Speaker 4: try to do a lot of these things.

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Speaker 2: That wasn't just on the screen.

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Speaker 4: But it was The presenter kept reiterating that Claude knows

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Speaker 4: what you want before you even have to say anything.

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Speaker 3: Oh, that's not crapy at all.

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Speaker 4: And that was that was the thing, because the cloud

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Speaker 4: gets to observe you and learn your patterns and learn

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Speaker 4: your habits once you like, and you can also input

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Speaker 4: this data.

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Speaker 2: And it was.

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Speaker 4: During the towel folding segment he even made a joke

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Speaker 4: because because it was because it was taking too long.

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Speaker 4: It was like, ah, yes, Claude was able to fold

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Speaker 4: the towel exactly exactly.

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Speaker 3: Like I like, it is this Cloyd the robot or

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Speaker 3: Claude the AI?

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Speaker 2: Yeah, Cloyd Kloyd Kloyd.

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Speaker 3: Does Cloyd run Claude?

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Speaker 2: I mean I probably not. I mean it's slow and expensive,

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Speaker 2: so I guess. And also just from my understanding, this

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Speaker 2: thing is fucking huge. It's big giant, it's big. You

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Speaker 2: just have this offensively looks like it's like it's like

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Speaker 2: my it's like me sized. Yeah. Yeah, it's but also

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Speaker 2: super wide, like a like a big scooter, like yeah,

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Speaker 2: the kind of scooter you see.

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Speaker 5: It's like a sort of storm tripper turned h butler.

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Speaker 5: I guess, yeah, but learns what you need other than

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Speaker 5: like like three rapidity.

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Speaker 2: Yeah, like how folded it faster than seven minutes or correctly?

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Speaker 1: Yeah?

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Speaker 3: Yeah, And.

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Speaker 4: The presenter made a joke, is that because because claud

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Speaker 4: Cloyd Cloyd wasn't able to fully fold the towel. He

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Speaker 4: made a joke about how that's how he actually prefers

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Speaker 4: his towels being folded. Because this was this was like

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Speaker 4: an on and in an ongoing statement he kept making

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Speaker 4: it was like, you know, Cloyd knows how long I

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Speaker 4: want my croissants cooked, so he can he can bake micros,

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Speaker 4: so he can bake microsohants exactly how long I want

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Speaker 4: to He also, uh, Cloyd prepared a snack during the demo,

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Speaker 4: and the snack was taking milk out of the fridge

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Speaker 4: and putting the milk carton down on the counter because

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Speaker 4: I do not know if the robot fingers were able to.

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Speaker 3: Unscrew the mill of my snack of milky.

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Speaker 4: Like the milk carton actually, so it was just taking

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Speaker 4: the milk putting it on the counter. But for the

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Speaker 4: for the for like the wife and father of two

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Speaker 4: wife and father, for for the couple, and and and

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Speaker 4: and and their kid. Demo, the robot was like, you know,

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Speaker 4: if if you're too busy, the robot can make breakfast

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Speaker 4: for your family in the morning. Well, the robot can

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Speaker 4: put a tray of of croissant dough. It's pre prepared

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Speaker 4: in the oven, so you have.

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Speaker 1: To put that.

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Speaker 4: You have to put the croissants on that unclear. No,

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Speaker 4: the robot can take as long as the dough magically exists.

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Speaker 4: Sure Claude Cloyd can walk towards the oven. The oven

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Speaker 4: will automatically open with the new lg s and then

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Speaker 4: put the tray in.

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Speaker 1: But as the cant, you still have to line the

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Speaker 1: croissants and you also have to unroll it can do

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Speaker 1: the easiest part afford drone delivery of croissants from a

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Speaker 1: really good part.

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Speaker 2: That we saw was moving trey into oven.

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Speaker 4: How the how the cross and dough got on the

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Speaker 4: tray complete mystery. How the how the milk got from

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Speaker 4: the cart into the glass also we'll never know.

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Speaker 1: My question is did the did the nice actor who

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Speaker 1: they hired to lie seem well acting is like exactly

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Speaker 1: and he is good at his job, seem uh like

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Speaker 1: self aware at all, a little bit like he seemed

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Speaker 1: a little embarrassed he did he.

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Speaker 2: Did a good job.

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Speaker 6: This is also Vegas people, so and just think about

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Speaker 6: the paycheck when he when when the robots spent ninety

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Speaker 6: seconds putting a shirt in in the washing in the

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Speaker 6: washing machine.

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Speaker 1: Uh.

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Speaker 2: It was framed as Cloud being extremely thorough.

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Speaker 7: Hm.

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Speaker 2: Look look look how thorough. Yeah, as being it knows mysfications.

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Speaker 2: I like shit done wrong and slow. Okay, I like

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Speaker 2: my stuff done poorly. It's like, if I needed someone

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Speaker 2: to do something slowly and poorly, as I said, I

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Speaker 2: would do it myself.

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Speaker 4: The odd thing it's like, and there was so much

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Speaker 4: robotics in LVCA this year, like North Hall full full

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Speaker 4: of robotics, and it's it's robotics that I that I've

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Speaker 4: You've seen it, see, yes before, but it's always been

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Speaker 4: They've always been kind of janky, and you haven't seen

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Speaker 4: like big companies like LGE really mess with it because

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Speaker 4: it's all kind of janky. And I was just kind

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Speaker 4: of surprised that LG is actually like dipping their toes

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Speaker 4: into this because it's not it's not necessarily new technology,

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Speaker 4: but it's it's at the same level of jank as

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Speaker 4: it was like a year and a half ago. But

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Speaker 4: for some reason they decided to like go for it.

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Speaker 3: They thought nothing else.

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Speaker 2: I genuinely it's just headline grabs. It's just I fucking

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Speaker 2: read a Wall Street Journal story to them. Not even

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Speaker 2: name the reporter because he should know better. But it's like, yeah,

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Speaker 2: this is the year of the robots, and one of

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Speaker 2: the things, I swear to God, most of the robots

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Speaker 2: they mentioned didn't exist. It was like Cloyd. I think

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Speaker 2: they mentioned Cloyd. I feel like it's irresponsible for anyone

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Speaker 2: to report on Cloyd as if it's real. Like it's

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Speaker 2: real in the sense it's physically, it's physically in the.

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Speaker 3: Las Vegas Convention Center Central Hall, LG booth.

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Speaker 2: But it's like, this is not something that can be

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Speaker 2: purchased or is sold.

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Speaker 3: Or even does like it does anything.

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Speaker 2: The very simple thing I mean, I mean feel like

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Speaker 2: I'm going insane.

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Speaker 1: I made this point last time we were talking about

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Speaker 1: we were talking about Cloyd on some other episode I

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Speaker 1: can't remember, several years ago. Yeah truly. But so I

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Speaker 1: know that this is a repeat point for anybody for

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Speaker 1: the real errors out there. But the keys finding thing.

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Speaker 1: For the robot to be able to find the keys,

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Speaker 1: that means that the keys must have some kind of

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Speaker 1: air tag chip on them, Like that's how the robot.

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Speaker 2: Maybe it's possibly, in.

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Speaker 1: Which case you go, how about you just put an

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Speaker 1: AirTag on your keys.

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Speaker 4: Sure, I think Cloyd might be able to find the

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Speaker 4: keys via just visual recognition, Like Cloyd was like sorting

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Speaker 4: laundry by color. Cloyd was washing certain items but not washing.

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Speaker 1: It just feels like if if I can't visually see

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Speaker 1: my keys.

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Speaker 2: Well, you know you're you're a busy dad. You don't

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Speaker 2: have time.

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Speaker 1: I am Amber dad.

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Speaker 2: You don't have time that dad and wife are busy

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Speaker 2: with AI but doing busy productivity woman and no woman

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Speaker 2: is Because at CS twenty twenty six, she was given

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Speaker 2: pink battery packs.

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Speaker 1: I was, I was, I was welling around a little

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Speaker 1: little power back thing and he pointed to the pastel

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Speaker 1: colors and was like, this is it. It looks like

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Speaker 1: a foundation, it looks like a makeup. And I was like, ah, yes,

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Speaker 1: that's for girls. And I pointed to a black one

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Speaker 1: and I was like that make me go no bad,

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Speaker 1: but this make me go yes. And he was like,

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Speaker 1: could not see. He just kept it, kept telling me

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Speaker 1: power bags for girls.

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Speaker 3: It's woke. Whoa because it's truly good, truly dead.

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Speaker 2: Yeah no, but woke too. And C is twenty twenty seven.

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Speaker 2: It's gonna be fucking It's gonna be in they're going

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Speaker 2: to be the gender forcing machine.

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Speaker 4: I mean yeah, they already have like the the like

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Speaker 4: accessibility stage. This year it's woke too, is going to

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Speaker 4: be bigger.

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Speaker 2: Yeah, it's gonna be like the caliphight section and the

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Speaker 2: gender section, the false transgender section. That's gonna be fucking great.

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Speaker 3: Sure, we're all changing genders next year. It's happening, folks.

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Speaker 1: But that means you get a power bank that's whatever color.

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Speaker 2: You can get a pink power bank. That sounds fucking great.

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Speaker 2: We're all changing agendas next year. No, it's what else

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Speaker 2: do you see?

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Speaker 8: Yeah?

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Speaker 3: You see?

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Speaker 4: I mean it's honestly what was more interesting to me

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Speaker 4: at Central Hall was what I didn't didn't see.

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Speaker 2: What was that?

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Speaker 4: I didn't see Nikon, I didn't see Cannon, I didn't

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Speaker 4: I didn't see Samsung.

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Speaker 3: They were not there there.

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Speaker 4: They don't have booths this year, and holy the Panasonic

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Speaker 4: booth very bare. Not really any product. There's there's like

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Speaker 4: there's there's like enterprise products, there's like you know, energy

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Speaker 4: efficiency products like software, there's chips, but there's there's there's

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Speaker 4: not not many physical products. There's no likely Panasonic cameras.

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Speaker 4: That's the Sony booth isn't a Sony booth, just has

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Speaker 4: cars in partnership with h They've.

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Speaker 3: Been weird in the last several years, like.

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Speaker 5: This, but Samsung, but Sony because that exhibit somewhere in

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Speaker 5: the wind.

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Speaker 9: Yeah.

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Speaker 2: But usually they have like the Samsung megalopolis, like a

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Speaker 2: giant booth.

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Speaker 4: Yeah not not not there, and Sony's exhibits is very small.

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Speaker 4: This year it's just cars n Well, no Nikon, which

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Speaker 4: has has had huge booths that see yes the past

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Speaker 4: like three four years.

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Speaker 2: Yes, I get this weird feeling about this show that

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Speaker 2: something is up, something is really weird. This thing doesn't

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Speaker 2: feel right because I saw like a chunk of a

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Speaker 2: casino just with nothing there and those tables open. I

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Speaker 2: think was even at the Palazza, which is just fucking strange.

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Speaker 2: But something feels missing. It doesn't feel like there are

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Speaker 2: less televisions like last year.

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Speaker 3: There is less television.

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Speaker 2: Yeah, it's like a television brant. You could stride around,

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Speaker 2: like looking at all the various giant TVs that all

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Speaker 2: look and sound the same, and that was fun. This

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Speaker 2: it's smaller, weirder, And I mentioned this in another episode.

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Speaker 2: Usually they keep the country tree based stuff in the

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Speaker 2: basement in Eureka. Pop. Yeah, it was top it's a

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Speaker 2: top side.

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Speaker 3: It's okay.

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Speaker 4: There was some top side stuff last year.

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Speaker 3: But it was much smaller. But there's there's there's way way.

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Speaker 2: Bigger top side pavilions. Very strange above above Eureka this year.

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Speaker 2: This is a bad sign.

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Speaker 3: There's a lot of a lot of shifts.

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Speaker 2: Know this.

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Speaker 4: This sea definitely feels feel, feels very different. And I

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Speaker 4: don't want to be just like cynical for the sake

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Speaker 4: of being cynical. I want to have a fun time

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Speaker 4: at see Yes, I actually I'm serious.

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Speaker 2: I would love that. I would love to see some

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Speaker 2: ship that makes me go cool. I would love that.

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Speaker 4: And yeah, I don't know, like I tried on some new,

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Speaker 4: new new to me auto translating your buds today. I know,

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Speaker 4: I know I've done a lot of auto translation stuff

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Speaker 4: so far, but uh, these ones were really good. These

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Speaker 4: ones were fast.

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Speaker 2: Do you know who they were buying? Let me let me,

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Speaker 2: let me look through my notes. It's no, I must say,

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Speaker 2: though I'm not. They were they were in they were

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Speaker 2: in North Hall. I'm trying to find them. Yeah, I

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Speaker 2: don't think any of us are trying to be reflexibly.

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Speaker 3: Why are you looking up, Rob?

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Speaker 2: What you saying? Let's let's bring you in here.

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Speaker 5: So so, yeah, I've I've now sort of completed my inspection.

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Speaker 5: I'm flying home, yeah this evening. And yeah, so West

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Speaker 5: Halls the usual weird exhibit of things with wheels and

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Speaker 5: sometimes tank treads. It's all the mobility stuff, which was

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Speaker 5: never part of CEES first.

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Speaker 3: Sure it came here and God helped me nineteen ninety eight.

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Speaker 5: Yeah, Yeah, there's lots of interesting stuff being done with,

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Speaker 5: you know, portable solar power, like if we had balcony

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Speaker 5: solar legalized in the US, that's where you'd see it

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Speaker 5: in the North Hall, Central Hall is you know, that's

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Speaker 5: still some exhibits with TV vendors, companies like high Sense

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Speaker 5: and TCL. We're sort of devoting more space to that,

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Speaker 5: and Samsung has sort of moved off site. And yeah, Panasonic,

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Speaker 5: half of their stuff was like here's what we do

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Speaker 5: for data centers, which are speaking as a Virginia and

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Speaker 5: that they're not that popular.

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Speaker 2: People do not like these. Yes, I imagine you've seen

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Speaker 2: quite few of those recently.

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Speaker 5: Every time I flied at Adullas Airport, can't miss him and

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Speaker 5: today I finally got over to the Venetian to look

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Speaker 5: at the sort of smart home exhibits upstairs. Downstairs is

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Speaker 5: Eureka Park, which is all the real sort of cats

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Speaker 5: and dogs, random internation, just.

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Speaker 2: The random, the straight dogs more correct.

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Speaker 3: That's where you have the weirdest stuff.

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Speaker 2: Definitely, I think they need to lean into that with

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Speaker 2: Eureka Park. They need to make it dirtier. They need

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Speaker 2: to have like a dive bar in the corner, a

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Speaker 2: few straight rocks, like the It's Always Sunny in Philadelphia

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Speaker 2: episode when they go to Atlantic City and there's just

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Speaker 2: like dogs walking around. I think like they need to

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Speaker 2: make it weird and gross, because I think that's the

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Speaker 2: only thing that will make it interesting.

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Speaker 1: I had the unfortunate order of going to Eureka Park first.

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Speaker 1: I went the first day that I got here. I

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Speaker 1: just had an hour before the show floor closed, and

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Speaker 1: so all I could do was be in the Venetia

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Speaker 1: Venetian and Ed had been like, oh, the downstairs is

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Speaker 1: the weirdest, and so I like wandered around the upstairs

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Speaker 1: of Venetian a little bit, and then I was like,

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Speaker 1: I gotta hit the downstairs whatever. Basically that was my intro,

357
00:16:01,760 --> 00:16:04,600
Speaker 1: and I was like, this stuff fucking rocks. Yeah, I

358
00:16:04,600 --> 00:16:09,680
Speaker 1: mean it's insane, it's batshit, it's a ninety nine percent

359
00:16:09,800 --> 00:16:13,160
Speaker 1: unnecessary yes, but it's so funny, and I was just

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Speaker 1: having a ball, having the time of my life. Even

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Speaker 1: even the upstairs at Venetian has been great. And then

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Speaker 1: the last two days at the at the convention Center,

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Speaker 1: I've been like, the fuck is this is this useful

364
00:16:22,520 --> 00:16:24,360
Speaker 1: shit that you think I'm going to actually incorporate into

365
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Speaker 1: my life. Get the fuck away from I want the

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Speaker 1: weird shit that I can make fun of.

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Speaker 2: Yeah, I'm sorry for that. I wish the show was

368
00:16:32,240 --> 00:16:36,520
Speaker 2: more dopey, but it's kind of it's sad. I want

369
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Speaker 2: I like the novelty stuff, or I want like big

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Speaker 2: and stupid. I hear there's a giant tractor. I somehow missed.

371
00:16:42,160 --> 00:16:45,080
Speaker 2: That's very amazing. That's how the tractors did what it

372
00:16:45,240 --> 00:16:46,040
Speaker 2: was just a.

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Speaker 3: Giant Gnere combine or was there another one?

374
00:16:48,560 --> 00:16:50,840
Speaker 2: No, the combine, Yeah, it could be fun if there

375
00:16:50,840 --> 00:16:51,080
Speaker 2: were two.

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00:16:51,160 --> 00:16:53,680
Speaker 5: Big Green Mission actually imported some some corn from some

377
00:16:53,720 --> 00:16:56,280
Speaker 5: form in Iowa to play it in front of it

378
00:16:56,360 --> 00:16:57,800
Speaker 5: to show you what it actually does.

379
00:16:57,840 --> 00:17:02,800
Speaker 2: Interesting. Yeah, yeah, I wonder why, Like I feel like

380
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Speaker 2: if you have a farm, you probably know about tractor.

381
00:17:05,960 --> 00:17:08,119
Speaker 1: Yeah, but I don't know that the people here looking

382
00:17:08,119 --> 00:17:09,399
Speaker 1: at that tractor are people who.

383
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Speaker 2: Have farms, right, But my point is, then why did

384
00:17:12,560 --> 00:17:13,640
Speaker 2: you put the track to there?

385
00:17:14,400 --> 00:17:15,040
Speaker 1: It sounds like.

386
00:17:15,040 --> 00:17:15,760
Speaker 3: Because you can.

387
00:17:15,880 --> 00:17:19,159
Speaker 2: It's a giant green machine with if the reason was

388
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Speaker 2: just like we can, fine, I love that. That's great.

389
00:17:22,560 --> 00:17:27,800
Speaker 2: But yeah, so these these headbuds head times time kettle, Wow,

390
00:17:28,119 --> 00:17:32,119
Speaker 2: time kettle. You could have you could have given me

391
00:17:32,160 --> 00:17:34,320
Speaker 2: seven million years that wouldn't have come up with that name.

392
00:17:36,200 --> 00:17:41,440
Speaker 4: Yeah, they were very fast, like nearly leg free conversational translation.

393
00:17:41,600 --> 00:17:44,080
Speaker 2: That's awesome. Do you know how much they cost? Orry from?

394
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Speaker 2: Like that? Did they tell you? Because so many, so

395
00:17:46,800 --> 00:17:49,040
Speaker 2: many of these places just don't. It's like when can

396
00:17:49,080 --> 00:17:52,560
Speaker 2: I get it? Oh no, no, no not, we don't

397
00:17:52,560 --> 00:17:55,600
Speaker 2: do that here. We don't sell things or put prices

398
00:17:55,600 --> 00:17:58,879
Speaker 2: on things. We are simply we are simply showing you

399
00:17:58,920 --> 00:18:01,160
Speaker 2: something so we can raise mo and then run away.

400
00:18:01,440 --> 00:18:05,320
Speaker 4: Oh yeah, they definitely, they definitely have been selling them

401
00:18:05,400 --> 00:18:06,760
Speaker 4: the past few months.

402
00:18:08,200 --> 00:18:10,080
Speaker 2: And I will I will also go through my notes.

403
00:18:10,119 --> 00:18:14,760
Speaker 1: No, it's okay, it's rob Can I ask solar balcony solar.

404
00:18:14,680 --> 00:18:15,200
Speaker 3: Yeah, I was.

405
00:18:15,240 --> 00:18:16,760
Speaker 2: Actually this was in the back of my mind too.

406
00:18:17,200 --> 00:18:20,199
Speaker 1: Is that where somebody is that where you have, you know,

407
00:18:20,240 --> 00:18:23,119
Speaker 1: tiny little baby solar panels on your porch and you

408
00:18:23,119 --> 00:18:25,199
Speaker 1: can sell the electricity back to the electric The.

409
00:18:25,240 --> 00:18:26,840
Speaker 5: Idea is you don't. So this is a sign that

410
00:18:26,840 --> 00:18:29,280
Speaker 5: it's very popular in Germany. I was in Efense September

411
00:18:29,280 --> 00:18:31,240
Speaker 5: in Berlin, and if you walk around the city, you'll

412
00:18:31,240 --> 00:18:33,840
Speaker 5: see solar panels on balconies next to flags and flowers

413
00:18:33,840 --> 00:18:34,800
Speaker 5: and everything all.

414
00:18:34,680 --> 00:18:35,280
Speaker 2: Over the place.

415
00:18:35,600 --> 00:18:38,520
Speaker 5: And the whole idea is it's very cheap. It's not

416
00:18:38,640 --> 00:18:41,720
Speaker 5: enough to like power your whole flat, but it will.

417
00:18:42,720 --> 00:18:43,240
Speaker 2: It's enough.

418
00:18:43,359 --> 00:18:46,639
Speaker 5: You put two, maybe three solar panels outside, you plug

419
00:18:46,680 --> 00:18:48,640
Speaker 5: them into an outlet, and that's it.

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Speaker 3: And they started found some way to legalize it and

421
00:18:50,800 --> 00:18:51,520
Speaker 3: they flow back.

422
00:18:52,240 --> 00:18:55,359
Speaker 5: So the whole term outlet is apparently wrong because it

423
00:18:55,440 --> 00:18:57,640
Speaker 5: is bi directional an inflow.

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00:18:57,920 --> 00:19:01,120
Speaker 1: Yes, oh wait, you mean what we what I think

425
00:19:01,160 --> 00:19:02,800
Speaker 1: of as an outlet, that thing.

426
00:19:03,080 --> 00:19:06,400
Speaker 3: We've been lied to our entire lives and also inlets.

427
00:19:06,200 --> 00:19:08,120
Speaker 2: And Field just stepped in, which is to say they're

428
00:19:08,160 --> 00:19:11,120
Speaker 2: lying to you about those plugs that have two spikes.

429
00:19:11,240 --> 00:19:12,119
Speaker 3: Very big on the election.

430
00:19:12,160 --> 00:19:15,760
Speaker 2: You can take Phil you you agree with this? Yeah,

431
00:19:15,800 --> 00:19:17,560
Speaker 2: the ones with the two plugs on the end, you

432
00:19:17,600 --> 00:19:18,840
Speaker 2: plug them in, they're legal right.

433
00:19:18,880 --> 00:19:21,920
Speaker 3: Mail to mail yeah, male toil is illegal in most In.

434
00:19:21,880 --> 00:19:24,640
Speaker 2: Most states, mal to maill is legal due to woke

435
00:19:24,840 --> 00:19:28,840
Speaker 2: electricity people who don't want you to they're trying to

436
00:19:29,920 --> 00:19:32,560
Speaker 2: in Texas they are. Actually it's a slate flag. It's

437
00:19:33,280 --> 00:19:38,360
Speaker 2: it's a fifty cow rifle just wrapped in mail to mail. Yes,

438
00:19:38,480 --> 00:19:42,359
Speaker 2: so that four hundred dollars, four hundred dollars for the

439
00:19:42,359 --> 00:19:44,000
Speaker 2: the I can see.

440
00:19:44,080 --> 00:19:48,320
Speaker 4: I can they need to be wife, I can phone conducting. No,

441
00:19:48,400 --> 00:19:50,480
Speaker 4: I mean I think no, they're bluetooth to the phone,

442
00:19:50,720 --> 00:19:53,200
Speaker 4: so like your your phone will need but I feel

443
00:19:53,240 --> 00:19:55,520
Speaker 4: like they're they're running the computer through the phone.

444
00:19:55,640 --> 00:19:57,440
Speaker 1: But but I'm asking does the phone need a wife?

445
00:19:57,440 --> 00:19:58,160
Speaker 1: I can need need.

446
00:19:58,160 --> 00:19:59,000
Speaker 2: It's probably needs to sell.

447
00:19:59,040 --> 00:20:00,560
Speaker 1: It's not an on device.

448
00:20:00,680 --> 00:20:05,280
Speaker 2: L M, No, it is it is. It is not

449
00:20:05,320 --> 00:20:08,919
Speaker 2: on device. I will say with that uses others. I

450
00:20:08,960 --> 00:20:11,919
Speaker 2: will say with that one, if it's immediate, then the

451
00:20:11,960 --> 00:20:14,639
Speaker 2: situation you'd be using that is like international business. So

452
00:20:14,680 --> 00:20:17,040
Speaker 2: I can kind of get at Yeah, it was fine,

453
00:20:17,160 --> 00:20:20,639
Speaker 2: but I'm kind of getting worried about like LM translation though, sure,

454
00:20:20,840 --> 00:20:23,919
Speaker 2: because it's like, how would I possibly know. It's like,

455
00:20:24,000 --> 00:20:26,600
Speaker 2: it gets things wrong in the language I understand, imagine

456
00:20:26,600 --> 00:20:28,840
Speaker 2: the one I don't. Yeah, But at the same time,

457
00:20:28,880 --> 00:20:31,480
Speaker 2: I like this text, so you know, who knows if

458
00:20:31,480 --> 00:20:32,600
Speaker 2: that will exactly?

459
00:20:33,000 --> 00:20:34,560
Speaker 3: I want that. I want that to work.

460
00:20:34,600 --> 00:20:37,240
Speaker 2: But it's like, because the pebble watch we're talking about

461
00:20:37,240 --> 00:20:39,040
Speaker 2: the pebble ring we were talking about earlier. That's on

462
00:20:39,119 --> 00:20:43,280
Speaker 2: device somehow, and that's cool. It's just like, but the

463
00:20:43,320 --> 00:20:45,359
Speaker 2: thing is on device is very difficult. It's not I

464
00:20:45,359 --> 00:20:47,800
Speaker 2: can understand why people are doing it. It's just what

465
00:20:47,920 --> 00:20:51,760
Speaker 2: happens if this becomes more expensive, which it most certainly will.

466
00:20:52,880 --> 00:20:56,200
Speaker 2: But Rob, you've been going to see since nineteen ninety eight,

467
00:20:56,320 --> 00:20:56,960
Speaker 2: as we've.

468
00:20:56,760 --> 00:20:59,440
Speaker 5: Just estabveraged, I think a lot about the life choices

469
00:20:59,440 --> 00:21:00,080
Speaker 5: that put me.

470
00:21:00,160 --> 00:21:02,800
Speaker 1: And what do you think about those show?

471
00:21:02,920 --> 00:21:03,680
Speaker 3: How do you know?

472
00:21:03,840 --> 00:21:05,800
Speaker 2: Seriously, how do you feel about the ces? Like, how

473
00:21:05,800 --> 00:21:08,000
Speaker 2: does it compare to even last year of the year before?

474
00:21:08,119 --> 00:21:09,120
Speaker 3: So honestly I haven't.

475
00:21:08,840 --> 00:21:10,320
Speaker 1: Said how does it compare to nineteen ninety eight?

476
00:21:10,560 --> 00:21:13,520
Speaker 5: Well, in nineteen ninety eight, this was a show about

477
00:21:13,560 --> 00:21:16,800
Speaker 5: TVs and cereos and it was the dawn of digital TV.

478
00:21:17,200 --> 00:21:18,080
Speaker 2: What they took from UST.

479
00:21:18,160 --> 00:21:20,800
Speaker 5: People were very excited about the prospect of being able

480
00:21:20,840 --> 00:21:23,840
Speaker 5: to spend like four thousand dollars on some thirty and

481
00:21:23,920 --> 00:21:26,000
Speaker 5: c r T. There would be four hundred pounds, but

482
00:21:26,080 --> 00:21:30,280
Speaker 5: it would display yeah ten eighty I resolution.

483
00:21:30,160 --> 00:21:32,119
Speaker 3: Whoa, whoa yeah.

484
00:21:32,359 --> 00:21:34,320
Speaker 5: And along the way it's become this the show about

485
00:21:34,320 --> 00:21:36,720
Speaker 5: all these different parts of technology. So there's all these

486
00:21:37,160 --> 00:21:42,240
Speaker 5: you know, electric cars, solar panels, AI household robots. So

487
00:21:42,359 --> 00:21:44,520
Speaker 5: I mean, like, I complain a lot about the logistics

488
00:21:44,520 --> 00:21:47,879
Speaker 5: because it is such a paniastic get around. But yesterday,

489
00:21:47,960 --> 00:21:51,520
Speaker 5: in the span of like four hours walking around LVCC North,

490
00:21:51,600 --> 00:21:54,480
Speaker 5: I talked to a company developing building a test fusion

491
00:21:54,520 --> 00:21:58,800
Speaker 5: power plant in Massachusetts. We else, let me take a

492
00:21:58,800 --> 00:22:02,080
Speaker 5: look at my notes, a bizarre sequence of events.

493
00:22:02,880 --> 00:22:07,000
Speaker 1: Let's wait, sorry, say that as in a new nuclear

494
00:22:07,040 --> 00:22:07,840
Speaker 1: power plant.

495
00:22:07,600 --> 00:22:09,600
Speaker 3: In nuclear fusion power plant.

496
00:22:09,760 --> 00:22:11,440
Speaker 2: Wow, oh this is non existent.

497
00:22:12,440 --> 00:22:15,040
Speaker 3: It's it's been twenty years away my entire life, you know.

498
00:22:15,160 --> 00:22:17,600
Speaker 2: It's that's my favorite thing about the nuclear stuff. It's

499
00:22:17,600 --> 00:22:19,760
Speaker 2: like nuclear power is real, but it's like fission. Yep.

500
00:22:19,880 --> 00:22:22,119
Speaker 2: We are just we are med decades away from this

501
00:22:22,280 --> 00:22:24,040
Speaker 2: twenty like Dad.

502
00:22:24,040 --> 00:22:24,960
Speaker 1: Just fusion fusion.

503
00:22:25,040 --> 00:22:27,560
Speaker 2: Yeah, that's the whole fission fusion thing. I don't want

504
00:22:27,560 --> 00:22:29,399
Speaker 2: to get fill on it. He's he actually knows he

505
00:22:29,560 --> 00:22:31,600
Speaker 2: talking about We don't do that on this show.

506
00:22:31,760 --> 00:22:35,360
Speaker 1: The only reason I know is because last night Phil

507
00:22:35,440 --> 00:22:36,840
Speaker 1: spent an hour explaining that.

508
00:22:36,760 --> 00:22:41,560
Speaker 2: And I was suffering a podcast is concussion, So I was, which.

509
00:22:41,359 --> 00:22:44,680
Speaker 5: I know the omore so other random conversations had during

510
00:22:44,720 --> 00:22:49,760
Speaker 5: this little tour just LVCC North guy with a battery

511
00:22:49,760 --> 00:22:51,919
Speaker 5: company in Singapore where they're they're building much.

512
00:22:51,760 --> 00:22:54,000
Speaker 3: Of the battery out of paper. Oh yeah, yeah, I

513
00:22:54,080 --> 00:22:54,600
Speaker 3: was this.

514
00:22:54,760 --> 00:22:58,399
Speaker 5: Yeah, so there, so that's really neat.

515
00:22:59,040 --> 00:22:59,240
Speaker 3: Yeah.

516
00:22:59,280 --> 00:23:03,280
Speaker 5: I tried on an excess skeleton to le We've heard

517
00:23:03,280 --> 00:23:06,520
Speaker 5: a few people which one which one is hyper shell X.

518
00:23:06,680 --> 00:23:08,320
Speaker 2: I was wearing hyper shehell today as well.

519
00:23:08,440 --> 00:23:10,679
Speaker 5: Yeah, and so it's sort of like you know when

520
00:23:10,720 --> 00:23:12,719
Speaker 5: you get on an ee biking and it's it's almost

521
00:23:12,720 --> 00:23:14,639
Speaker 5: like the hand of God is pushing you down the street,

522
00:23:14,840 --> 00:23:17,320
Speaker 5: Sam Surrey, where think it's up your legs and does

523
00:23:17,320 --> 00:23:20,000
Speaker 5: it feel honestly, you've used.

524
00:23:20,080 --> 00:23:20,640
Speaker 3: It feels good?

525
00:23:20,800 --> 00:23:23,360
Speaker 5: I mean, anything to make my feet hurt less at

526
00:23:23,359 --> 00:23:26,320
Speaker 5: the show, So maybe I should roll up wearing that

527
00:23:26,320 --> 00:23:27,240
Speaker 5: thing next time.

528
00:23:27,200 --> 00:23:31,639
Speaker 4: I got really into the settings. I'm tell they they

529
00:23:31,720 --> 00:23:33,280
Speaker 4: have an app and they have three different modes, and

530
00:23:33,440 --> 00:23:34,080
Speaker 4: I'm not sure if it's.

531
00:23:34,000 --> 00:23:36,199
Speaker 2: Roberts already talked abou hypers shell. He talked about it

532
00:23:36,200 --> 00:23:38,159
Speaker 2: a little bit, but he hadn't like really used it.

533
00:23:38,520 --> 00:23:40,840
Speaker 4: We uh me and someone else have been trading trading

534
00:23:40,840 --> 00:23:43,280
Speaker 4: off wearing it all day. And so there's this like

535
00:23:43,320 --> 00:23:45,280
Speaker 4: eco mode, which is like the regular mode that that

536
00:23:45,320 --> 00:23:47,600
Speaker 4: you can operate it and you can change like the

537
00:23:47,600 --> 00:23:50,080
Speaker 4: percentage of how much power is getting directed to it.

538
00:23:50,200 --> 00:23:51,640
Speaker 2: That changes how much it assists to you.

539
00:23:51,720 --> 00:23:54,119
Speaker 4: There's hyper mode, which if you have hyper mode on

540
00:23:54,200 --> 00:23:56,000
Speaker 4: and all the way you are like bounding.

541
00:23:56,200 --> 00:23:57,720
Speaker 3: It is it is, it is, it is.

542
00:23:57,760 --> 00:23:59,440
Speaker 2: It is really pushing forward.

543
00:23:59,560 --> 00:24:00,000
Speaker 3: It is fun.

544
00:24:00,440 --> 00:24:03,920
Speaker 4: It's uncomfortable if you were walking slowly, you have to

545
00:24:03,960 --> 00:24:06,080
Speaker 4: be like walking fast. But if you're walking fast with it,

546
00:24:06,080 --> 00:24:07,440
Speaker 4: it's good. It's like really good.

547
00:24:07,520 --> 00:24:11,600
Speaker 2: I grew up in London. I live in a fast walker.

548
00:24:11,600 --> 00:24:11,960
Speaker 2: It's great.

549
00:24:11,960 --> 00:24:13,760
Speaker 4: And you can you can change the intensity of it.

550
00:24:14,359 --> 00:24:16,280
Speaker 4: But you can you can change like the torque from

551
00:24:16,280 --> 00:24:18,080
Speaker 4: like one leg to another to make to make a

552
00:24:18,119 --> 00:24:19,040
Speaker 4: different is.

553
00:24:19,000 --> 00:24:21,160
Speaker 2: That if you have like an injury in one leg

554
00:24:21,240 --> 00:24:22,840
Speaker 2: or something. Yeah, that's really good.

555
00:24:22,920 --> 00:24:26,000
Speaker 4: That's you can change like how much like input delay

556
00:24:26,040 --> 00:24:28,359
Speaker 4: there is, how much it's gonna like like like how

557
00:24:28,400 --> 00:24:31,159
Speaker 4: fast the acceleration is for when it starts moving. Something

558
00:24:31,160 --> 00:24:33,840
Speaker 4: that I was uh using to like mess with.

559
00:24:34,480 --> 00:24:34,720
Speaker 8: Uh.

560
00:24:34,800 --> 00:24:37,920
Speaker 4: The person who was walking around with today is they

561
00:24:37,960 --> 00:24:40,360
Speaker 4: have on their for their experimental future. They have something

562
00:24:40,400 --> 00:24:46,440
Speaker 4: called Fitness mode, which does the opposite of the mazing

563
00:24:47,000 --> 00:24:51,760
Speaker 4: resist resist strict movement. And this was really fun because

564
00:24:51,800 --> 00:24:53,760
Speaker 4: I could have them. I could see them like running

565
00:24:53,760 --> 00:24:56,360
Speaker 4: around on hyper mode and via my phone, I can

566
00:24:56,480 --> 00:25:01,639
Speaker 4: change it to Fitness mode to completely top there moving.

567
00:25:01,640 --> 00:25:04,119
Speaker 2: Like the wrong trousers with Wallace and grum it.

568
00:25:04,359 --> 00:25:08,320
Speaker 7: So I can just completely like like force them to

569
00:25:08,400 --> 00:25:14,120
Speaker 7: a standstill and it works great, and I I could

570
00:25:14,200 --> 00:25:15,359
Speaker 7: do it for like I can do it for like

571
00:25:15,440 --> 00:25:16,880
Speaker 7: thirty feet away on the.

572
00:25:16,800 --> 00:25:19,480
Speaker 2: App uh And it was fantastic.

573
00:25:19,560 --> 00:25:22,959
Speaker 3: It was really fun. I've I've been looking for more bits.

574
00:25:23,280 --> 00:25:26,320
Speaker 2: That's really been I've been doing this for like eight hours.

575
00:25:26,560 --> 00:25:30,040
Speaker 2: I've been so annoying with this. I love that they

576
00:25:30,080 --> 00:25:33,680
Speaker 2: got wrong trousers mode. That's so good And honestly I'm

577
00:25:33,680 --> 00:25:35,240
Speaker 2: not cynic. I love these things.

578
00:25:35,359 --> 00:25:37,560
Speaker 3: I fuck it was fun. I fucking love these.

579
00:25:37,600 --> 00:25:40,119
Speaker 2: I know so many people with mobility issues on myself

580
00:25:40,119 --> 00:25:42,480
Speaker 2: of a fucked up an cool I love this. I

581
00:25:42,520 --> 00:25:44,919
Speaker 2: love that this feels like future tech.

582
00:25:44,880 --> 00:25:46,640
Speaker 4: And it's small, it's doesn't it doesn't get like I've

583
00:25:46,640 --> 00:25:50,439
Speaker 4: tried on many many in exo an ex skeleton at

584
00:25:50,560 --> 00:25:53,600
Speaker 4: at the cess I've been to. Uh, this one was

585
00:25:53,760 --> 00:25:57,040
Speaker 4: very compact but still still functionals.

586
00:25:56,240 --> 00:26:00,360
Speaker 5: It's wraps around your your waist, in your legs, really

587
00:26:00,359 --> 00:26:02,399
Speaker 5: an extra skill and I'm like, what do you do.

588
00:26:02,520 --> 00:26:03,840
Speaker 2: Caught mobility suit.

589
00:26:03,960 --> 00:26:06,399
Speaker 4: I don't know, but like it's basically just like an

590
00:26:06,400 --> 00:26:07,480
Speaker 4: extra set of hips.

591
00:26:07,280 --> 00:26:07,880
Speaker 2: Kind of right.

592
00:26:08,200 --> 00:26:11,240
Speaker 4: Could see some of them and hips that help that help,

593
00:26:11,280 --> 00:26:13,520
Speaker 4: and the help line that helped push your knee.

594
00:26:13,400 --> 00:26:15,560
Speaker 3: Up well, the artificially assisted hips.

595
00:26:15,600 --> 00:26:18,200
Speaker 2: So they dot the hips that finally we found hips

596
00:26:18,200 --> 00:26:20,720
Speaker 2: that lie. Yeah, it's I love that. I love that

597
00:26:20,760 --> 00:26:22,920
Speaker 2: they've got these, especially with like so much useless ship

598
00:26:23,000 --> 00:26:26,000
Speaker 2: Here a way to like help people walk feels almost

599
00:26:26,040 --> 00:26:29,359
Speaker 2: like the platonic ideal of cees. Like other than a

600
00:26:29,480 --> 00:26:33,040
Speaker 2: giant television, a television so large you can't see all

601
00:26:33,040 --> 00:26:37,920
Speaker 2: of it. They go like, yeah, I saw that too.

602
00:26:38,160 --> 00:26:41,040
Speaker 2: They just got a big as big ass TV. Hell yeah,

603
00:26:41,880 --> 00:26:44,040
Speaker 2: do you know what the price was? It wasn't transparent?

604
00:26:45,000 --> 00:26:45,639
Speaker 2: Yeah fuck it.

605
00:26:45,720 --> 00:26:48,080
Speaker 3: Then no LGA had the transparent TV.

606
00:26:48,160 --> 00:26:50,479
Speaker 2: Here's the thing. They're the useful TVs. But every year

607
00:26:50,560 --> 00:26:52,280
Speaker 2: I think they should try and make a bigger one,

608
00:26:52,560 --> 00:26:54,840
Speaker 2: Like just like every year there like it goes two

609
00:26:54,960 --> 00:26:56,879
Speaker 2: hundred inches. Now now we go one where we have

610
00:26:56,920 --> 00:27:00,880
Speaker 2: to bypart of the wall, Like, yeah, just escalate constantly.

611
00:27:01,000 --> 00:27:04,000
Speaker 2: And I saw on the very first day a wireless

612
00:27:04,040 --> 00:27:07,679
Speaker 2: TV situation where they were like, yeah, it's for trade shows.

613
00:27:07,720 --> 00:27:09,119
Speaker 2: You can get four of them and clip them into

614
00:27:09,160 --> 00:27:11,080
Speaker 2: one thing. I'm like, oh, you could be a sports freak,

615
00:27:11,600 --> 00:27:14,120
Speaker 2: and they just fucking look to me. They just look.

616
00:27:14,200 --> 00:27:17,040
Speaker 2: I'm like what I mean. Like when I was getting

617
00:27:17,040 --> 00:27:19,040
Speaker 2: my place here in Vegas, I went to look at

618
00:27:19,040 --> 00:27:21,560
Speaker 2: a house where the guy had just four CRTs, all

619
00:27:21,600 --> 00:27:24,840
Speaker 2: just playing different NFL games, And I also what during

620
00:27:24,880 --> 00:27:27,640
Speaker 2: that tour house didn't actually get in the end. I

621
00:27:27,680 --> 00:27:29,959
Speaker 2: was just enamored with that, and honestly it was all

622
00:27:29,960 --> 00:27:32,159
Speaker 2: I could think about, Like, you could just pop up

623
00:27:32,160 --> 00:27:35,720
Speaker 2: on them those sports TV things. Back to the future too.

624
00:27:36,480 --> 00:27:39,040
Speaker 2: You get fired by a guy from Japan, be great.

625
00:27:40,680 --> 00:27:44,120
Speaker 2: I'm not Markein Mttfly's dad in the future anyways. Yeah,

626
00:27:44,160 --> 00:27:48,120
Speaker 2: it's I like the EXE hyper Shell's good. I need

627
00:27:48,119 --> 00:27:49,440
Speaker 2: them to reach out to it. They reached out to you,

628
00:27:49,480 --> 00:27:52,200
Speaker 2: They reached out to Robert. They they don't like me there,

629
00:27:52,560 --> 00:27:54,640
Speaker 2: people like hyper Sheelle don't like me very much.

630
00:27:54,720 --> 00:27:57,600
Speaker 1: Yeah, they're afraid that you're gonna get into your podcast

631
00:27:56,920 --> 00:27:59,040
Speaker 1: and with them positively.

632
00:27:59,240 --> 00:28:02,280
Speaker 2: Yeah, you know, actually based on the lost twelve hours,

633
00:28:02,280 --> 00:28:05,600
Speaker 2: like I'm blamed, I'd be like, I don't know.

634
00:28:06,280 --> 00:28:08,919
Speaker 5: I don't think I got ai in any way, So

635
00:28:08,960 --> 00:28:10,639
Speaker 5: you're probably that should be safe.

636
00:28:10,920 --> 00:28:13,600
Speaker 2: Yeah, but you do have stats.

637
00:28:13,600 --> 00:28:15,040
Speaker 4: You can see how many miles to walk, how many

638
00:28:15,040 --> 00:28:17,320
Speaker 4: steps you've walked on the battery was great, Like we've

639
00:28:17,359 --> 00:28:20,679
Speaker 4: we've we've had this thing on since like since like

640
00:28:20,720 --> 00:28:23,600
Speaker 4: eight am. I got back to my hotel to drop

641
00:28:23,640 --> 00:28:26,520
Speaker 4: it off about an hour ago, and we still had

642
00:28:26,520 --> 00:28:27,680
Speaker 4: fifty percent of the battery left.

643
00:28:27,720 --> 00:28:30,840
Speaker 2: That's really better than my doing, and.

644
00:28:30,800 --> 00:28:32,760
Speaker 4: You know it was it has it is better the

645
00:28:32,760 --> 00:28:35,320
Speaker 4: phone and like we're walking in a convention center, like

646
00:28:35,359 --> 00:28:36,280
Speaker 4: that's a lot of walking.

647
00:28:36,400 --> 00:28:40,400
Speaker 1: The fitness mode, who are there? Is it the same

648
00:28:40,640 --> 00:28:41,680
Speaker 1: ten thousand steps?

649
00:28:42,240 --> 00:28:42,840
Speaker 2: That's not bad.

650
00:28:43,120 --> 00:28:46,800
Speaker 1: Yeah, it's funny because so much of our podcasting has

651
00:28:46,880 --> 00:28:49,920
Speaker 1: been looking at products that are unnecessary and pointing out

652
00:28:49,960 --> 00:28:52,880
Speaker 1: the unnecessary parts of them and rightfully laughing at those.

653
00:28:53,320 --> 00:28:55,600
Speaker 1: And this is a product that clearly I can help

654
00:28:55,640 --> 00:28:58,920
Speaker 1: a ton of people and is wonderful technology and very worthwhile.

655
00:28:59,600 --> 00:29:01,800
Speaker 1: And so I don't mean to apply the same logic.

656
00:29:02,000 --> 00:29:07,320
Speaker 1: But is the person who's buying Hypershell going to use

657
00:29:07,360 --> 00:29:10,600
Speaker 1: the fitness mode? Those feel to me like two different uses.

658
00:29:10,520 --> 00:29:12,840
Speaker 3: It feels like something that's probably not difficult.

659
00:29:12,920 --> 00:29:13,480
Speaker 2: It's an ad.

660
00:29:13,600 --> 00:29:15,320
Speaker 4: It's an extra add on, that's the thing. It is

661
00:29:15,720 --> 00:29:18,120
Speaker 4: an experimental feature. It is not They are not. I

662
00:29:18,200 --> 00:29:20,240
Speaker 4: do not think they're selling them with fitness mode enabled

663
00:29:20,280 --> 00:29:20,560
Speaker 4: right now?

664
00:29:20,640 --> 00:29:21,640
Speaker 2: Yeah, that is.

665
00:29:21,720 --> 00:29:24,640
Speaker 4: It is an experimental feature that you have to like, click, like,

666
00:29:24,720 --> 00:29:26,760
Speaker 4: agree and okay to all right.

667
00:29:26,680 --> 00:29:29,720
Speaker 2: We're going to rotate, of course. Now, this following ad

668
00:29:29,880 --> 00:29:32,760
Speaker 2: is not for hyper Shell. It's for something else that

669
00:29:32,840 --> 00:29:36,240
Speaker 2: you should buy without reservation. Just the credit cards out.

670
00:29:36,280 --> 00:29:50,280
Speaker 2: Please everyone. If it's a podcast, you must listen to. Superstition, fear,

671
00:29:50,320 --> 00:29:52,760
Speaker 2: and jealousy. Welcome back to Better Offline, the literal best

672
00:29:52,800 --> 00:29:55,360
Speaker 2: podcast ever made. I'm Rob Zombie. Slamming things in the

673
00:29:55,360 --> 00:29:57,920
Speaker 2: back of my Dragula is stand up comedian and star

674
00:29:58,000 --> 00:29:59,920
Speaker 2: of Is this thing on Chloe Rack?

675
00:30:00,080 --> 00:30:00,880
Speaker 1: Where is she all?

676
00:30:00,960 --> 00:30:01,280
Speaker 3: Killer?

677
00:30:01,480 --> 00:30:01,560
Speaker 1: This?

678
00:30:01,720 --> 00:30:03,000
Speaker 2: She is? It could happen.

679
00:30:03,120 --> 00:30:04,480
Speaker 3: Here's Garrison Davis.

680
00:30:04,600 --> 00:30:08,520
Speaker 2: Good evening, and take right to Rob Pegoraro. I I

681
00:30:08,640 --> 00:30:11,680
Speaker 2: like the Fitness Mode. I heard the moment you said that.

682
00:30:11,720 --> 00:30:14,080
Speaker 2: I'm like, I want to fucking go for it. Like

683
00:30:14,320 --> 00:30:16,800
Speaker 2: I've been, really I've been getting into more cardio stuff.

684
00:30:16,800 --> 00:30:18,120
Speaker 2: I'm like, I kind of want to funk. I want

685
00:30:18,160 --> 00:30:19,880
Speaker 2: to see how this sucks me up. It's really cool.

686
00:30:20,560 --> 00:30:23,080
Speaker 2: So how does did you try the Fitness Mode yourself?

687
00:30:23,440 --> 00:30:26,360
Speaker 2: How does how does it exert the pressure? Like? Is

688
00:30:26,400 --> 00:30:29,600
Speaker 2: it the is walking more difficult? Yeah, it's it's very difficult.

689
00:30:29,640 --> 00:30:32,320
Speaker 4: You can't you You have to really strain to like

690
00:30:32,720 --> 00:30:34,920
Speaker 4: step more than like maybe like half a foot.

691
00:30:35,040 --> 00:30:37,480
Speaker 1: Is it just that it sort of like binds up

692
00:30:37,520 --> 00:30:38,320
Speaker 1: the mechanism.

693
00:30:38,440 --> 00:30:38,840
Speaker 2: I think so.

694
00:30:39,160 --> 00:30:40,600
Speaker 4: I think it's I think it's like it's it's like

695
00:30:40,680 --> 00:30:44,600
Speaker 4: locking the murder or paying applying resistance to the you

696
00:30:44,640 --> 00:30:47,720
Speaker 4: have to then takes it takes way more efforctuse.

697
00:30:47,720 --> 00:30:50,080
Speaker 2: I mean you've already got like wasted pants and stuff.

698
00:30:50,120 --> 00:30:51,880
Speaker 2: I know, this sounds like I'm doing you do you

699
00:30:51,880 --> 00:30:54,040
Speaker 2: actually do have these things you have like sweatsuits, and

700
00:30:54,160 --> 00:30:54,880
Speaker 2: well that's sort.

701
00:30:54,760 --> 00:30:56,800
Speaker 1: Of what I That's where I wind up coming to

702
00:30:57,000 --> 00:30:58,760
Speaker 1: is like this feels.

703
00:30:58,480 --> 00:31:00,479
Speaker 4: You can change the you can you you have like

704
00:31:00,560 --> 00:31:03,200
Speaker 4: you have like like like a slider, like you can

705
00:31:03,320 --> 00:31:04,520
Speaker 4: change the settings for.

706
00:31:04,880 --> 00:31:09,680
Speaker 1: I totally follow. I totally follow. And the if if

707
00:31:09,680 --> 00:31:12,240
Speaker 1: we were not so positive on the rest of the problem,

708
00:31:13,880 --> 00:31:16,560
Speaker 1: I just am like this, I'm thinking of Conover about

709
00:31:16,560 --> 00:31:19,560
Speaker 1: the Conover saying this is a solved problem. You know,

710
00:31:19,600 --> 00:31:21,600
Speaker 1: where I'm like, we have weighted best or we have

711
00:31:22,120 --> 00:31:24,280
Speaker 1: My thing is with fits. You know how people bought

712
00:31:24,280 --> 00:31:26,560
Speaker 1: the like Nordic tracks. Do you remember those the cross

713
00:31:26,600 --> 00:31:29,600
Speaker 1: the internal cross country ski machines, and that there was

714
00:31:29,600 --> 00:31:31,520
Speaker 1: like a year where everybody's like, everybody's got to get

715
00:31:31,560 --> 00:31:34,560
Speaker 1: a Nordic track. Yeah, and then now and then upon

716
00:31:34,720 --> 00:31:36,720
Speaker 1: a bunch of people just have a Nordic track sitting

717
00:31:36,720 --> 00:31:37,880
Speaker 1: in the racement that they don't need.

718
00:31:38,040 --> 00:31:40,160
Speaker 2: I think the difference with this is not only is

719
00:31:40,160 --> 00:31:43,080
Speaker 2: an experimental feature, it's not trying to be a one

720
00:31:43,160 --> 00:31:46,280
Speaker 2: size fits all thing because you can use it well hiking.

721
00:31:46,440 --> 00:31:48,240
Speaker 4: Yeah, So if you if you want to have a

722
00:31:48,320 --> 00:31:50,720
Speaker 4: more of a workout well hiking, and there's settings for

723
00:31:50,760 --> 00:31:53,720
Speaker 4: going uphill downhill, and it changes the way that like

724
00:31:53,800 --> 00:31:55,360
Speaker 4: how how the motors like functions.

725
00:31:55,400 --> 00:31:58,360
Speaker 2: So it does have a lot of not being sold

726
00:31:58,400 --> 00:32:01,080
Speaker 2: on this. Pardon it's not being sold on this idea.

727
00:32:01,120 --> 00:32:02,920
Speaker 2: This is an excitement that I even.

728
00:32:02,720 --> 00:32:04,040
Speaker 3: Told me about the fitness mode.

729
00:32:04,240 --> 00:32:08,960
Speaker 5: I tried ecomode and I.

730
00:32:08,920 --> 00:32:10,440
Speaker 3: Have enough trouble getting around already.

731
00:32:11,560 --> 00:32:14,479
Speaker 4: You don't need to do this walking race, walking uphill, downhill,

732
00:32:14,560 --> 00:32:20,120
Speaker 4: upstairs downstairs, gravel cycling, running mountain and sand dunes are

733
00:32:20,160 --> 00:32:22,120
Speaker 4: the adaptive motion.

734
00:32:22,320 --> 00:32:24,680
Speaker 2: Like I can't set a fitness I would love to

735
00:32:24,680 --> 00:32:26,600
Speaker 2: because my ankle gets sucked up. If a war more

736
00:32:26,600 --> 00:32:29,400
Speaker 2: than a mile, I would love this. Yeah, diaper shell,

737
00:32:29,480 --> 00:32:32,320
Speaker 2: reach fuck hyper shell, reach out to me, like, I

738
00:32:32,320 --> 00:32:34,120
Speaker 2: swear to God, we're never going to know that you

739
00:32:34,160 --> 00:32:36,000
Speaker 2: call them diaper I'm going to I'm not going to

740
00:32:36,040 --> 00:32:38,240
Speaker 2: call them diper shell again. It'll be fine. That was

741
00:32:38,280 --> 00:32:41,360
Speaker 2: the last time you're like, you can't take it off

742
00:32:41,360 --> 00:32:41,920
Speaker 2: when you're.

743
00:32:44,040 --> 00:32:45,640
Speaker 3: Diaper?

744
00:32:45,880 --> 00:32:46,120
Speaker 1: Yeah?

745
00:32:46,360 --> 00:32:50,880
Speaker 2: Oh god, yeah, so okay, rop back to you. Anything else? Well, actually,

746
00:32:50,920 --> 00:32:52,240
Speaker 2: was there anything you really loved.

747
00:32:52,120 --> 00:32:55,840
Speaker 5: During this anything like the story of most fascinated by

748
00:32:55,920 --> 00:32:58,200
Speaker 5: there's a company called Donut Lab that does not actually

749
00:32:58,200 --> 00:33:01,160
Speaker 5: make it's not it's not a donut making robot. They

750
00:33:02,240 --> 00:33:04,840
Speaker 5: introduced a solid state battery for electric vehicles.

751
00:33:04,880 --> 00:33:06,960
Speaker 2: So we had a very brief conversation about this, and

752
00:33:07,000 --> 00:33:08,840
Speaker 2: then someone emailed me and said they want more. So

753
00:33:08,960 --> 00:33:12,360
Speaker 2: guess fucking what, one listener, it's your Lucky.

754
00:33:12,120 --> 00:33:13,719
Speaker 3: Day reader service.

755
00:33:14,000 --> 00:33:15,640
Speaker 5: So it is kind of mystery how they've done it,

756
00:33:15,680 --> 00:33:18,120
Speaker 5: because this has trictly been the holy grail. Supposedly, if

757
00:33:18,160 --> 00:33:20,080
Speaker 5: you can get the battery chemistry and everything in the

758
00:33:20,080 --> 00:33:23,520
Speaker 5: physics to work, you have a much lighter battery that's cheaper,

759
00:33:23,560 --> 00:33:27,400
Speaker 5: the charges faster, those far more cycles. And they say

760
00:33:27,440 --> 00:33:29,560
Speaker 5: they've done all these things, but they're being very cagy

761
00:33:29,600 --> 00:33:30,080
Speaker 5: about them.

762
00:33:30,280 --> 00:33:31,280
Speaker 3: And they also say.

763
00:33:31,080 --> 00:33:38,640
Speaker 5: That the minerals are globally available widely. Sos like, what's

764
00:33:38,680 --> 00:33:40,240
Speaker 5: the catch is one of the other ingredients?

765
00:33:40,320 --> 00:33:43,920
Speaker 3: Kittens, what's going on here? And so we'll have to see.

766
00:33:43,960 --> 00:33:46,920
Speaker 5: Like they're showing off a motorcycle which includes the battery.

767
00:33:46,920 --> 00:33:49,600
Speaker 5: Would you use it was? No, they just had it

768
00:33:49,720 --> 00:33:52,920
Speaker 5: parked there. It's a thirty thousand dollars and up electric motorcycle.

769
00:33:53,040 --> 00:33:58,440
Speaker 5: Looks great, but if they've cracked the code for that,

770
00:33:58,480 --> 00:34:00,160
Speaker 5: and there's lots of other people working on some old

771
00:34:00,200 --> 00:34:03,560
Speaker 5: state batteries. And given the NV's are already good, like

772
00:34:03,640 --> 00:34:05,200
Speaker 5: you know, you have this thing, you can charge it

773
00:34:05,240 --> 00:34:08,319
Speaker 5: at home, you know, a fast charger. It's it's enough

774
00:34:08,320 --> 00:34:09,960
Speaker 5: time for me to take a nap, which I like doing.

775
00:34:10,000 --> 00:34:14,239
Speaker 5: And right, so address the other concerns people have.

776
00:34:14,719 --> 00:34:16,400
Speaker 1: Is it big enough to power a vehicle that's bigger

777
00:34:16,400 --> 00:34:17,000
Speaker 1: than a motorcycle?

778
00:34:17,040 --> 00:34:19,239
Speaker 5: Yeah, yeah, yeah, definitely though, like they showed off, there's

779
00:34:19,280 --> 00:34:22,239
Speaker 5: some company that makes like an electric car chassis with

780
00:34:22,280 --> 00:34:24,880
Speaker 5: the sort of skateboard thing where the batteries are right

781
00:34:24,960 --> 00:34:25,600
Speaker 5: underneath the center.

782
00:34:25,760 --> 00:34:28,919
Speaker 3: That's most vs are designed. So yeah, their whole aim

783
00:34:29,120 --> 00:34:31,520
Speaker 3: is to have us in a lot of different cars.

784
00:34:32,120 --> 00:34:35,360
Speaker 3: Like they say, they'll have news soon about car partnerships,

785
00:34:36,239 --> 00:34:36,839
Speaker 3: so big deal.

786
00:34:37,080 --> 00:34:40,360
Speaker 2: But if this is true, it's like a revolution in

787
00:34:40,440 --> 00:34:41,799
Speaker 2: old car battery text.

788
00:34:42,040 --> 00:34:45,880
Speaker 5: Yeah, and not just that, I mean like drones, trains

789
00:34:45,920 --> 00:34:47,760
Speaker 5: for that matter, Because we don't know how to build

790
00:34:48,040 --> 00:34:52,759
Speaker 5: transportation infrastructure affordable in America, lots of railroad operators would

791
00:34:52,800 --> 00:34:54,400
Speaker 5: rather put the battery on the train than put the

792
00:34:54,400 --> 00:34:55,520
Speaker 5: wires above the tracks.

793
00:34:56,160 --> 00:34:58,080
Speaker 2: I just want to be clear, if this is true,

794
00:34:58,120 --> 00:35:00,319
Speaker 2: I will be the most excited about this app up.

795
00:35:00,440 --> 00:35:02,880
Speaker 2: If Donut Labs ends up being fake, I'm going to

796
00:35:02,920 --> 00:35:06,480
Speaker 2: spend multiple episodes destroying this film so dirty. No no, no,

797
00:35:06,560 --> 00:35:09,000
Speaker 2: you won't because it's an exciting and cool thing. And

798
00:35:09,040 --> 00:35:11,319
Speaker 2: if this is real, it's fucking amazing. If it's not,

799
00:35:11,719 --> 00:35:14,080
Speaker 2: I will learn everything about this company and publish it

800
00:35:14,080 --> 00:35:17,120
Speaker 2: on this fucking No, they genuinely are.

801
00:35:17,120 --> 00:35:19,239
Speaker 1: But it also sounds like somebody is going to crack

802
00:35:19,320 --> 00:35:19,799
Speaker 1: this well.

803
00:35:20,360 --> 00:35:23,200
Speaker 5: Yeah, like there're enough other there's enough money being put

804
00:35:23,320 --> 00:35:25,400
Speaker 5: at solved directed at solving the problems.

805
00:35:25,520 --> 00:35:30,080
Speaker 1: Yeah, and what's what's it going to do? I mean,

806
00:35:30,440 --> 00:35:34,359
Speaker 1: is the is the oil industry going to have an

807
00:35:34,400 --> 00:35:36,160
Speaker 1: even bigger procism than we've.

808
00:35:36,120 --> 00:35:38,879
Speaker 2: The thing is what the oil industry they're well, yeah,

809
00:35:38,920 --> 00:35:41,759
Speaker 2: but they're also well invested in this stuff too, and

810
00:35:41,880 --> 00:35:43,960
Speaker 2: they will find ways to make money off of this.

811
00:35:44,360 --> 00:35:46,320
Speaker 2: They will not like it, but it's kind of hard

812
00:35:46,360 --> 00:35:51,000
Speaker 2: to deny electricity, but nevertheless they unlove it. Problem.

813
00:35:51,400 --> 00:35:54,000
Speaker 5: Yeah, I mean, the whole the trend has been going

814
00:35:54,040 --> 00:35:56,319
Speaker 5: on for years and years, and it's just right now

815
00:35:56,320 --> 00:35:58,719
Speaker 5: in the US we have this president who has just

816
00:35:58,760 --> 00:36:02,279
Speaker 5: some trange notions of energy and affordability, and I think

817
00:36:02,320 --> 00:36:04,440
Speaker 5: his head is stuck in nineteen eighty six, which is

818
00:36:04,440 --> 00:36:07,239
Speaker 5: why he thinks it's a good idea to you know,

819
00:36:08,280 --> 00:36:10,960
Speaker 5: Hijack Venezuela is if it's like sticking up a gas station.

820
00:36:11,280 --> 00:36:15,160
Speaker 2: Yeah, it's I love living in I want to live

821
00:36:15,400 --> 00:36:16,960
Speaker 2: you know what I would love. I'd love to live

822
00:36:16,960 --> 00:36:20,760
Speaker 2: in precedented times. I'd love to live in boring times.

823
00:36:20,800 --> 00:36:24,680
Speaker 2: I'm I've had too many interesting events happen. I'd like

824
00:36:24,760 --> 00:36:27,560
Speaker 2: to go back to boredom, but sadly they're not going

825
00:36:27,600 --> 00:36:32,600
Speaker 2: to allow me. I don't know, it's it's frustrating because

826
00:36:32,640 --> 00:36:35,960
Speaker 2: I've been asking people genuinely, seriously bring me stuff you're

827
00:36:35,960 --> 00:36:39,200
Speaker 2: excited about, and everyone keeps coming back with, like, you know,

828
00:36:39,400 --> 00:36:42,320
Speaker 2: it was kind of an Honestly, the exoskeletons are the

829
00:36:42,360 --> 00:36:45,160
Speaker 2: one unilaterally thing other than big tractor. And again it

830
00:36:45,239 --> 00:36:47,799
Speaker 2: must be clear, big thing, big huge thing.

831
00:36:47,840 --> 00:36:49,120
Speaker 1: That's hug TV.

832
00:36:49,320 --> 00:36:51,240
Speaker 2: I know, I fucking love it. I'm I'm an ape.

833
00:36:51,360 --> 00:36:53,919
Speaker 4: One of the best CS moments I've I've ever had

834
00:36:53,960 --> 00:36:56,399
Speaker 4: is when I when we saw maybe two years ago,

835
00:36:56,440 --> 00:37:01,640
Speaker 4: we saw the USPS's first one of those duck electric

836
00:37:01,719 --> 00:37:04,560
Speaker 4: duck vehicles, and I was like, this is rad. This

837
00:37:04,640 --> 00:37:07,560
Speaker 4: thing looks great. And like two years later I saw

838
00:37:07,560 --> 00:37:08,600
Speaker 4: them rolling around the city.

839
00:37:09,080 --> 00:37:11,279
Speaker 2: I'm not fucking rocks. I love that.

840
00:37:11,800 --> 00:37:14,080
Speaker 5: So I Oshkosh, the company that makes it, they had

841
00:37:14,120 --> 00:37:17,000
Speaker 5: a media day at their facility in Wisconsin, flew me

842
00:37:17,000 --> 00:37:17,319
Speaker 5: out there.

843
00:37:17,320 --> 00:37:20,160
Speaker 3: I got to drive it. WHOA, tell me more about that.

844
00:37:20,280 --> 00:37:22,000
Speaker 5: So, I mean, so, first of all, it looks the

845
00:37:22,080 --> 00:37:25,319
Speaker 5: way it does because you want something where people can

846
00:37:25,360 --> 00:37:28,120
Speaker 5: stand up in the back, right, and so, yeah, which

847
00:37:28,120 --> 00:37:30,920
Speaker 5: you can't do right now in these nineteen eighties vinaged trucks,

848
00:37:30,920 --> 00:37:33,560
Speaker 5: the postal services rolling around. It's got air conditioning as

849
00:37:33,640 --> 00:37:37,680
Speaker 5: cup holders, all the modern conveniences, and yeah, Oshkosh took

850
00:37:37,719 --> 00:37:39,680
Speaker 5: a long time to serve get production ramped up. It

851
00:37:39,680 --> 00:37:43,000
Speaker 5: seems like they're doing that now, and yeah, it was

852
00:37:43,040 --> 00:37:45,840
Speaker 5: a neat. They also showed off like a battery electric

853
00:37:45,920 --> 00:37:47,359
Speaker 5: garbage truck, which I got to drive.

854
00:37:47,560 --> 00:37:47,759
Speaker 2: Nice.

855
00:37:48,239 --> 00:37:50,399
Speaker 3: It was the quiet garbage truck I've ever driven. Also

856
00:37:50,440 --> 00:37:50,960
Speaker 3: the only one.

857
00:37:51,000 --> 00:37:54,719
Speaker 2: But whatever, I mean, I'm really I just love the

858
00:37:54,760 --> 00:37:58,600
Speaker 2: idea of driving a truck around. Yeah, so garbage truck.

859
00:37:58,719 --> 00:38:01,080
Speaker 1: Here's the Okay, here's a question that I had the

860
00:38:01,080 --> 00:38:03,239
Speaker 1: thought of in an earlier episode and didn't wind up

861
00:38:03,239 --> 00:38:07,759
Speaker 1: asking Oshkosh. The company that makes those trucks is a

862
00:38:07,840 --> 00:38:11,520
Speaker 1: huge defense contractor, YEP, makes a ton of military vehicles.

863
00:38:11,640 --> 00:38:11,880
Speaker 3: They do.

864
00:38:11,960 --> 00:38:18,240
Speaker 1: Indeed, Uh I was reading on x the everything app

865
00:38:18,760 --> 00:38:26,280
Speaker 1: that UH ICE and CPB CBP was has been seen

866
00:38:26,400 --> 00:38:31,080
Speaker 1: using smart glasses to like record protesters and stuff. How

867
00:38:31,160 --> 00:38:36,840
Speaker 1: much of the tech that we see at cees winds

868
00:38:36,880 --> 00:38:41,640
Speaker 1: up getting filtered into what I would consider nefarious action?

869
00:38:42,120 --> 00:38:42,879
Speaker 3: Probably a lot.

870
00:38:42,920 --> 00:38:44,839
Speaker 5: I mean the fact that ICE is apparently using has

871
00:38:44,880 --> 00:38:48,680
Speaker 5: some sort of face recognition system against some database that

872
00:38:48,760 --> 00:38:51,120
Speaker 5: I didn't know the government Charlie had to see if

873
00:38:51,160 --> 00:38:56,319
Speaker 5: someone is an American citizen, which, yeah, I have a

874
00:38:56,440 --> 00:39:00,640
Speaker 5: lot of problems. Well where do we start, maybe like

875
00:39:00,760 --> 00:39:03,960
Speaker 5: perhaps they could not murder Americans? Yeah, that would be fun,

876
00:39:04,880 --> 00:39:06,319
Speaker 5: and then try to cover it up.

877
00:39:06,880 --> 00:39:11,560
Speaker 2: Oh god, I'm going to be just shout two more people, yeah, CBP, Yeah, yeah, yeah,

878
00:39:11,560 --> 00:39:13,720
Speaker 2: I'm gonna be I'm gonna say something, but be honest,

879
00:39:13,800 --> 00:39:15,680
Speaker 2: people do we ma'am only and ask why don't I

880
00:39:15,680 --> 00:39:17,680
Speaker 2: have to say anything? Because I'm a fucking immigrant and

881
00:39:17,719 --> 00:39:20,759
Speaker 2: I'm terrified of saying anything about it at all, And

882
00:39:20,840 --> 00:39:22,799
Speaker 2: if you're ever wondering if I have opinions on this,

883
00:39:22,920 --> 00:39:26,319
Speaker 2: I do, but I'm terrified to say anything. I do

884
00:39:26,440 --> 00:39:28,840
Speaker 2: not think that I don't have thoughts or feelings about

885
00:39:29,360 --> 00:39:32,279
Speaker 2: someone being shot to fucking death mother, which is disgraceful

886
00:39:32,280 --> 00:39:34,560
Speaker 2: and disgusting, But I have to, like, I am very

887
00:39:34,600 --> 00:39:37,120
Speaker 2: guarded about it. It's not that I don't care, it's

888
00:39:37,160 --> 00:39:40,480
Speaker 2: that as an immigrant with a child in America, I

889
00:39:40,480 --> 00:39:44,080
Speaker 2: die here. So yeah, very fun fucking week for everyone.

890
00:39:44,200 --> 00:39:46,719
Speaker 4: Yeah, but the thing you're talking about, we see a

891
00:39:46,719 --> 00:39:49,200
Speaker 4: lot of this with like the drone tech, and like

892
00:39:49,239 --> 00:39:50,879
Speaker 4: one of the one of the first ess I went

893
00:39:50,920 --> 00:39:52,640
Speaker 4: to and now you you still see this now in

894
00:39:52,640 --> 00:39:55,200
Speaker 4: the show is like it was on like you know,

895
00:39:55,239 --> 00:39:57,279
Speaker 4: Advancing Drone Technology, and it was like half put on

896
00:39:57,680 --> 00:40:01,760
Speaker 4: by Walmart and half put on by this a police

897
00:40:01,760 --> 00:40:05,920
Speaker 4: department UH in southern California who launched like the first

898
00:40:06,000 --> 00:40:08,360
Speaker 4: like big drone program, which has now been copied around

899
00:40:08,360 --> 00:40:10,279
Speaker 4: the country. And this was like a panel with like

900
00:40:10,320 --> 00:40:14,080
Speaker 4: both of them talking about how Walmart's doing drone deliveries

901
00:40:14,560 --> 00:40:17,880
Speaker 4: and how the police are sending or sending these drones

902
00:40:17,880 --> 00:40:21,880
Speaker 4: to like surveil neighborhoods and go to and go to

903
00:40:21,920 --> 00:40:25,400
Speaker 4: crime scenes before officers and like secure the area to

904
00:40:25,480 --> 00:40:28,439
Speaker 4: like you know, see see what's going on. And yeah,

905
00:40:28,440 --> 00:40:30,440
Speaker 4: you see this a lot with the drone stuff here

906
00:40:30,440 --> 00:40:34,720
Speaker 4: in Cees. There's across from the across from the Creator stage,

907
00:40:35,280 --> 00:40:39,399
Speaker 4: which is in Central Hall. It's where it's where if

908
00:40:39,400 --> 00:40:42,880
Speaker 4: you're a content it's all things content creator in creator economy.

909
00:40:42,960 --> 00:40:46,600
Speaker 4: Yet you would love the creator stage, I'm going. I

910
00:40:47,040 --> 00:40:50,000
Speaker 4: stood next to a panel where they talked about the

911
00:40:50,160 --> 00:40:55,120
Speaker 4: changing changing habits of gens of digital gen z Life.

912
00:40:55,440 --> 00:40:58,440
Speaker 2: A presentation created by people over the age of forty.

913
00:40:58,280 --> 00:41:02,000
Speaker 1: All of them, where yes, I say, what happens we're changing?

914
00:41:02,080 --> 00:41:03,280
Speaker 2: Yeah, yeah, again.

915
00:41:03,280 --> 00:41:05,279
Speaker 4: I stood next to this panel because I just heard

916
00:41:05,360 --> 00:41:08,600
Speaker 4: too many like things. I sometimes in panels, you know,

917
00:41:08,800 --> 00:41:10,440
Speaker 4: like five minutes later, you're like, this is not going to.

918
00:41:10,440 --> 00:41:13,080
Speaker 2: Be you just thought hearing the Charlie Brown para, Yeah, and.

919
00:41:13,080 --> 00:41:16,080
Speaker 4: Then and then and then you have to But it

920
00:41:16,160 --> 00:41:18,960
Speaker 4: turns out they use a TikTok to make purchasing decisions.

921
00:41:19,160 --> 00:41:19,600
Speaker 1: Hell is that?

922
00:41:20,440 --> 00:41:22,279
Speaker 2: But well that's so skivity of them.

923
00:41:23,400 --> 00:41:23,960
Speaker 3: Did I say that?

924
00:41:24,120 --> 00:41:30,239
Speaker 1: Right? That rocks? But across from the creator moment. I've

925
00:41:30,280 --> 00:41:33,680
Speaker 1: been podcasting for approximately fourteen hours over the last three days.

926
00:41:33,840 --> 00:41:35,040
Speaker 1: That's a tough moment.

927
00:41:36,000 --> 00:41:37,520
Speaker 2: Across from the creator stage.

928
00:41:37,560 --> 00:41:40,640
Speaker 4: There's a Chinese drone company that has these they're called

929
00:41:40,760 --> 00:41:43,960
Speaker 4: drone in the box systems where basically you put it

930
00:41:43,960 --> 00:41:45,719
Speaker 4: in the back of like a pickup truck and you

931
00:41:45,719 --> 00:41:48,160
Speaker 4: can launch you can launch a drone and it'll you

932
00:41:48,200 --> 00:41:51,720
Speaker 4: can like you can latch an autonomous drone and it'll pilot,

933
00:41:51,840 --> 00:41:53,959
Speaker 4: pilot round and then go back back into the box.

934
00:41:54,160 --> 00:41:56,400
Speaker 4: This this already exists in this we have we have

935
00:41:56,520 --> 00:41:58,680
Speaker 4: we police departments in the States already have this. But

936
00:41:58,920 --> 00:42:01,920
Speaker 4: this was like a transcom be that debt was making

937
00:42:02,120 --> 00:42:05,960
Speaker 4: making a lot of these and I can pull up the.

938
00:42:07,160 --> 00:42:09,839
Speaker 2: Consumer druns here though I feel like last year there

939
00:42:09,880 --> 00:42:13,000
Speaker 2: was like various there were more fun things that was

940
00:42:13,040 --> 00:42:15,480
Speaker 2: like a baseball thing was there was.

941
00:42:15,480 --> 00:42:19,319
Speaker 3: A drone soccer thing last year. Well one thing is SoC.

942
00:42:19,520 --> 00:42:24,240
Speaker 4: GDU was the company with aerial surveillance in public safety

943
00:42:24,239 --> 00:42:24,800
Speaker 4: where they're.

944
00:42:24,600 --> 00:42:27,600
Speaker 2: Too many, like I haven't see many consumer drune companies

945
00:42:28,160 --> 00:42:29,080
Speaker 2: know how many.

946
00:42:28,880 --> 00:42:32,560
Speaker 5: Of them are now sort of banned by this order

947
00:42:32,640 --> 00:42:38,279
Speaker 5: that has come out which they're targeting DJI which without them,

948
00:42:38,440 --> 00:42:40,560
Speaker 5: like where Americans going to buy drones.

949
00:42:40,320 --> 00:42:42,480
Speaker 2: Yeah, they're targeting the horse.

950
00:42:42,760 --> 00:42:48,120
Speaker 3: When the thought this through entirely, it's.

951
00:42:47,800 --> 00:42:50,440
Speaker 2: Just that whole thing, the whole all of that ship's

952
00:42:50,520 --> 00:42:52,680
Speaker 2: so bizarre to me. It's just like, oh, what if

953
00:42:52,719 --> 00:42:56,440
Speaker 2: the what if we fill American full of Chinese products

954
00:42:56,480 --> 00:42:58,560
Speaker 2: that could be used as Oh wait, we did that.

955
00:42:58,600 --> 00:43:01,440
Speaker 2: We've done that for ten straight years. We've just Amazon

956
00:43:01,520 --> 00:43:06,120
Speaker 2: has with various letters, putting random orders, shifted security cameras

957
00:43:06,120 --> 00:43:09,239
Speaker 2: into every home for on the cheap. Oh no, how

958
00:43:09,239 --> 00:43:12,400
Speaker 2: would we stop this? Well, it doesn't start with the stores.

959
00:43:12,440 --> 00:43:15,840
Speaker 2: It starts with China. The sneaky Chinese who are I

960
00:43:15,840 --> 00:43:18,120
Speaker 2: don't know, selling to America constantly. We don't stop that.

961
00:43:18,160 --> 00:43:19,200
Speaker 1: You've heard it here, folks.

962
00:43:19,520 --> 00:43:22,520
Speaker 2: No, it's just very confused. I don't don't really understand.

963
00:43:22,520 --> 00:43:24,920
Speaker 2: I don't think anyone really understands what we're doing against

964
00:43:25,000 --> 00:43:27,399
Speaker 2: China at this point. It's just like we might let

965
00:43:27,400 --> 00:43:30,320
Speaker 2: them buy stuff. Actually, that was an interesting story. So

966
00:43:30,440 --> 00:43:34,479
Speaker 2: today in Vidia with China, with these GPUs, they're saying

967
00:43:34,480 --> 00:43:37,480
Speaker 2: they have to be paid completely upfront, whether or not

968
00:43:37,520 --> 00:43:40,920
Speaker 2: they can actually sell them. They're saying that regardless of

969
00:43:40,960 --> 00:43:44,279
Speaker 2: how the the sanctions work out, if you buy them,

970
00:43:44,320 --> 00:43:46,640
Speaker 2: you must pay completely fucking up from whether or not

971
00:43:46,680 --> 00:43:48,759
Speaker 2: you can. You can't change your order, you can't get

972
00:43:48,760 --> 00:43:51,680
Speaker 2: a refund, you can't cancel, you can't reall cate. Fuck yeah,

973
00:43:51,920 --> 00:43:54,480
Speaker 2: in video doing great, that's the kind of shit you

974
00:43:54,480 --> 00:43:56,960
Speaker 2: do when you're like not doing well financially.

975
00:43:57,560 --> 00:44:03,239
Speaker 5: Yeah, weird, Like why even it's just because you must

976
00:44:03,239 --> 00:44:05,279
Speaker 5: think you have exceedingly captive customers.

977
00:44:05,400 --> 00:44:07,600
Speaker 2: No, yeah, it's like the kind of shit you do

978
00:44:07,680 --> 00:44:10,480
Speaker 2: when you think that you can't die and.

979
00:44:10,600 --> 00:44:12,960
Speaker 1: But you also are a little worried about.

980
00:44:12,840 --> 00:44:15,239
Speaker 2: Yes, exactly, you're like trying to pretend you're strong. And

981
00:44:15,280 --> 00:44:16,880
Speaker 2: I say this, in a town full of people that

982
00:44:16,960 --> 00:44:19,759
Speaker 2: act like they can't die, this is the person who

983
00:44:19,840 --> 00:44:22,120
Speaker 2: gets washed out first, Like, this is the person who

984
00:44:22,320 --> 00:44:24,640
Speaker 2: they have all the money until they get seven down

985
00:44:24,680 --> 00:44:27,600
Speaker 2: on the craps table. Yeah, little craps, Little craps for everyone.

986
00:44:27,600 --> 00:44:29,960
Speaker 2: Anyone play craps you listen, Email me easy a better

987
00:44:30,000 --> 00:44:32,839
Speaker 2: offline dot Com with your craps tips if you send

988
00:44:32,840 --> 00:44:35,160
Speaker 2: me toilet related stuff and will be really upset. It's

989
00:44:35,239 --> 00:44:38,799
Speaker 2: different kind of craps. Anyway, moving on, what else, Rob

990
00:44:38,840 --> 00:44:39,960
Speaker 2: Wels you see.

991
00:44:40,160 --> 00:44:43,319
Speaker 5: Oh, let's seem so I've been trying to follow some

992
00:44:43,360 --> 00:44:46,360
Speaker 5: of the the political discussion. It's like everyone WASHINGTONI and

993
00:44:46,360 --> 00:44:48,000
Speaker 5: I fly two thousand miles to hang out with people

994
00:44:48,040 --> 00:44:48,399
Speaker 5: from DC.

995
00:44:48,480 --> 00:44:49,000
Speaker 2: Yeah, exactly.

996
00:44:49,080 --> 00:44:52,600
Speaker 5: And so there's a reallysting panel about tariffs Tuesday morning

997
00:44:52,880 --> 00:44:55,720
Speaker 5: where everyone was saying, this is such a dumb idea

998
00:44:55,880 --> 00:44:59,239
Speaker 5: like this, it's not helping their attacks paid by Americans,

999
00:44:59,480 --> 00:45:03,680
Speaker 5: not the chin. They're not helping people build factories. The

1000
00:45:03,719 --> 00:45:08,160
Speaker 5: CEO of this kitchen robot company, souv Robert Thus, was saying,

1001
00:45:08,440 --> 00:45:10,319
Speaker 5: you know, we've created a lot of jobs not in

1002
00:45:10,320 --> 00:45:13,040
Speaker 5: the United States if they had a factory built in

1003
00:45:13,040 --> 00:45:16,240
Speaker 5: Mexico when in Vietnam, like, none of the stuff works,

1004
00:45:16,360 --> 00:45:17,520
Speaker 5: none of it makes any sense.

1005
00:45:17,840 --> 00:45:21,680
Speaker 2: Well, stupid question. Why would the tariffs make them put

1006
00:45:21,760 --> 00:45:24,680
Speaker 2: jobs in Mexico? And I say this genuinely not.

1007
00:45:24,880 --> 00:45:27,920
Speaker 5: So her answer was basically, the first of all, a

1008
00:45:27,920 --> 00:45:30,799
Speaker 5: lot of the components to the stuff she makes is

1009
00:45:30,800 --> 00:45:32,440
Speaker 5: not made in the US and will not be made

1010
00:45:32,440 --> 00:45:33,520
Speaker 5: in the US at any time.

1011
00:45:33,440 --> 00:45:33,680
Speaker 2: Soon, and.

1012
00:45:36,239 --> 00:45:39,719
Speaker 5: Therefore you need to import those things. And so why

1013
00:45:39,800 --> 00:45:42,879
Speaker 5: eat the tariffs on the stuff you need to bring

1014
00:45:42,920 --> 00:45:44,640
Speaker 5: to the US when you can just have them ship

1015
00:45:44,680 --> 00:45:47,240
Speaker 5: to Mexico pay a lesser tariff.

1016
00:45:47,239 --> 00:45:49,640
Speaker 3: Once that way, and so.

1017
00:45:49,600 --> 00:45:51,560
Speaker 2: It doesn't change the incentives at all.

1018
00:45:51,760 --> 00:45:54,719
Speaker 5: Yeah, Like we haven't suddenly magically made it reasonable for

1019
00:45:54,760 --> 00:45:58,439
Speaker 5: people to you know, do all this factor factory work

1020
00:45:58,440 --> 00:46:01,160
Speaker 5: that was you know, offitable thirty years ago.

1021
00:46:01,360 --> 00:46:04,600
Speaker 2: Yeah, we're not going to pay people like was it NAFTA.

1022
00:46:04,719 --> 00:46:07,600
Speaker 2: It's probably what caused the problem, not like yeah, not

1023
00:46:07,719 --> 00:46:09,040
Speaker 2: like the tariffs people were.

1024
00:46:08,920 --> 00:46:11,760
Speaker 5: Paying after Now it's us MCA, which now Trump thinks

1025
00:46:11,800 --> 00:46:16,239
Speaker 5: is terrible, and it's just not you know, it's not

1026
00:46:16,320 --> 00:46:18,400
Speaker 5: policy making by grown ups. And so the rest of

1027
00:46:18,400 --> 00:46:21,120
Speaker 5: the panel, I'm guessing everyone kind of agreed and yeah, yeah,

1028
00:46:21,160 --> 00:46:25,080
Speaker 5: I mean it was I don't imagine. Well, the finding is,

1029
00:46:25,120 --> 00:46:27,840
Speaker 5: of course, a lot of people in the electronics industry

1030
00:46:27,880 --> 00:46:30,240
Speaker 5: seem to think that, oh, it's great that we're pushing

1031
00:46:30,239 --> 00:46:33,960
Speaker 5: ahead on AI where we're getting rid of the regulatory shackles.

1032
00:46:35,760 --> 00:46:37,880
Speaker 5: But the problem is the person who's doing that is

1033
00:46:37,920 --> 00:46:39,560
Speaker 5: also the one who's imposing the tariffs.

1034
00:46:39,560 --> 00:46:42,520
Speaker 2: It's the same guy. So you don't have regulatory shackles.

1035
00:46:42,520 --> 00:46:44,919
Speaker 2: You live in Virginia, you know that. Yeah, there's nothing

1036
00:46:45,560 --> 00:46:48,239
Speaker 2: the capital of the world. All you hear in Virginia

1037
00:46:48,560 --> 00:46:51,840
Speaker 2: is the screaming of the computer because the computer is

1038
00:46:51,880 --> 00:46:53,960
Speaker 2: in pain, the GPU is hurting the computer.

1039
00:46:54,800 --> 00:46:57,479
Speaker 5: We have a new governor getting sworn in in less

1040
00:46:57,480 --> 00:47:00,600
Speaker 5: than two weeks, Elcebenberger, and I think we will be

1041
00:47:00,640 --> 00:47:03,000
Speaker 5: seeing some things done about data centers that were not

1042
00:47:03,280 --> 00:47:05,719
Speaker 5: going to save She's going to save the computer from

1043
00:47:05,760 --> 00:47:06,400
Speaker 5: the GPUs.

1044
00:47:06,640 --> 00:47:08,399
Speaker 1: What do you have a suspicion of what those things

1045
00:47:08,440 --> 00:47:08,719
Speaker 1: will be?

1046
00:47:08,880 --> 00:47:10,320
Speaker 5: Well, I mean a lot of it is around on

1047
00:47:10,360 --> 00:47:13,400
Speaker 5: that didn't she she is sort of. She said, we

1048
00:47:13,480 --> 00:47:16,200
Speaker 5: need to make sure that like large utility users pay

1049
00:47:16,239 --> 00:47:20,560
Speaker 5: their fair share, which the previous governor, Glenn Younkin, who

1050
00:47:20,680 --> 00:47:23,560
Speaker 5: is I think most people would say he is the

1051
00:47:23,600 --> 00:47:30,160
Speaker 5: most mediacre governor of Virginia the twenty first century. So yeah,

1052
00:47:30,200 --> 00:47:33,960
Speaker 5: like young and he veted like really small board legislation

1053
00:47:34,200 --> 00:47:35,920
Speaker 5: saying like, you know, we need to have some standards

1054
00:47:35,960 --> 00:47:38,239
Speaker 5: for environmental review of data centers.

1055
00:47:37,960 --> 00:47:39,279
Speaker 3: Because these things are love the place.

1056
00:47:39,320 --> 00:47:41,520
Speaker 5: If you take off from Dollas Airport, look to your

1057
00:47:41,560 --> 00:47:43,920
Speaker 5: left and right, you'll see these huge boxes with stuff

1058
00:47:43,960 --> 00:47:46,680
Speaker 5: on the roof, the parking lots around. Nobody works in them,

1059
00:47:47,360 --> 00:47:50,800
Speaker 5: and they do provide a lot of property tax revenue

1060
00:47:50,800 --> 00:47:53,880
Speaker 5: for counties. So like it's a huge chunk of the

1061
00:47:53,920 --> 00:47:57,560
Speaker 5: revenue of like Louden County, Prince William County, Western excerpts

1062
00:47:57,600 --> 00:48:01,120
Speaker 5: of DC. But there's no benefit people nearby. They don't

1063
00:48:01,160 --> 00:48:04,640
Speaker 5: generate jobs. They you don't get faster internet because you

1064
00:48:04,680 --> 00:48:06,240
Speaker 5: have a data center one street away.

1065
00:48:06,320 --> 00:48:07,879
Speaker 1: In fact, you get more expensive election.

1066
00:48:08,040 --> 00:48:10,400
Speaker 2: Yeah, and pair in America, we don't feed those taxes

1067
00:48:10,400 --> 00:48:11,439
Speaker 2: in once a month.

1068
00:48:11,480 --> 00:48:13,480
Speaker 5: They've they've got to turn on the backup generators to

1069
00:48:13,480 --> 00:48:14,879
Speaker 5: make sure they work. So that's a lot of noise

1070
00:48:14,920 --> 00:48:18,560
Speaker 5: and pollution. Everyone hates them. They're really unpopular. And the

1071
00:48:18,600 --> 00:48:22,080
Speaker 5: whole idea that we need to do this because guys

1072
00:48:22,120 --> 00:48:25,440
Speaker 5: like Mark Zuckerberg and Sam Altman think that we're going

1073
00:48:25,520 --> 00:48:28,600
Speaker 5: to get super intelligence or AGI, so we have to

1074
00:48:28,600 --> 00:48:29,480
Speaker 5: sort of suck it up.

1075
00:48:29,560 --> 00:48:31,000
Speaker 3: We need those GPUs to law.

1076
00:48:31,480 --> 00:48:34,239
Speaker 2: This is a true story, Jeff Howits and Ruyters law

1077
00:48:34,280 --> 00:48:37,040
Speaker 2: a man with dementia to New York using a Kighi

1078
00:48:37,200 --> 00:48:42,360
Speaker 2: Jenna branded chatbot and then he fell over and died.

1079
00:48:43,000 --> 00:48:43,760
Speaker 3: Yes, true story.

1080
00:48:43,800 --> 00:48:45,680
Speaker 2: Yeah, Yeah, that Grand Fox so Locker book should being

1081
00:48:45,719 --> 00:48:47,800
Speaker 2: fucking prison and everyone who worked on it should be

1082
00:48:47,840 --> 00:48:50,160
Speaker 2: in there with them. I'm deadly fucking serious. Everyone who

1083
00:48:50,160 --> 00:48:52,880
Speaker 2: worked on that, every single fucking person fucking put Jenner

1084
00:48:52,880 --> 00:48:55,279
Speaker 2: in there as well, her fucking face on it. Sorry,

1085
00:48:55,280 --> 00:48:57,920
Speaker 2: I have some like slightly aggressive views on this. You

1086
00:48:57,960 --> 00:49:00,480
Speaker 2: do have views? No, No, it's just I think it's

1087
00:49:00,560 --> 00:49:03,680
Speaker 2: just exploitative. But no, it's interesting hearing the data center

1088
00:49:03,719 --> 00:49:05,799
Speaker 2: a conversation here as well, because we have some core

1089
00:49:05,840 --> 00:49:07,640
Speaker 2: Weave bullshit. Actually go and have a look and have

1090
00:49:07,680 --> 00:49:09,920
Speaker 2: a look at them. Oh yes, yes, of all the

1091
00:49:09,920 --> 00:49:14,640
Speaker 2: companies to be here in Vegas, Core Weave. I but

1092
00:49:15,400 --> 00:49:17,120
Speaker 2: did you see any other panels that are of interest?

1093
00:49:17,160 --> 00:49:18,200
Speaker 2: So I don't just talk about Colin.

1094
00:49:18,400 --> 00:49:19,160
Speaker 3: So there's a bunch asking.

1095
00:49:19,200 --> 00:49:20,839
Speaker 5: I'm gonna have to sort of catch up via THEOD

1096
00:49:20,960 --> 00:49:25,000
Speaker 5: when I get back home. Like every year, I walk

1097
00:49:25,160 --> 00:49:27,920
Speaker 5: miles and miles through this becazibits. Think I've covered it all,

1098
00:49:28,320 --> 00:49:30,839
Speaker 5: come home, read other people, see s recaps, see all

1099
00:49:30,880 --> 00:49:31,759
Speaker 5: the stuff I missed, and.

1100
00:49:31,840 --> 00:49:33,959
Speaker 3: Like, totally did I go to the same shew yea.

1101
00:49:35,480 --> 00:49:38,719
Speaker 2: Now I walk through I've been here for days and

1102
00:49:38,760 --> 00:49:41,200
Speaker 2: there was like yesterday when I walked through stuff, nothing

1103
00:49:41,280 --> 00:49:43,640
Speaker 2: was affixing to my brain. It was all just this

1104
00:49:43,719 --> 00:49:48,240
Speaker 2: slop of my brain's going won't exist, won't exist, GPT.

1105
00:49:48,000 --> 00:49:49,160
Speaker 3: Wrapper, won't exist.

1106
00:49:49,200 --> 00:49:54,920
Speaker 2: Remember any laundering photonics panel, solar panel. And it was

1107
00:49:55,000 --> 00:49:57,400
Speaker 2: strange because usually there is like a good amount and

1108
00:49:57,440 --> 00:50:00,600
Speaker 2: I should also be clad cynic aside, there was a

1109
00:50:00,680 --> 00:50:02,280
Speaker 2: use for this. There are people who go hit bios

1110
00:50:02,280 --> 00:50:04,400
Speaker 2: who are like, oh, I'm gonna I'm building something and

1111
00:50:04,400 --> 00:50:07,520
Speaker 2: what have you. But it feels like it's either that

1112
00:50:08,239 --> 00:50:10,719
Speaker 2: or the like the slopification of cees.

1113
00:50:11,120 --> 00:50:13,960
Speaker 4: Yeah, it reminds me of like when three D printers

1114
00:50:14,000 --> 00:50:18,560
Speaker 4: just started, yes, like getting popular and then and then

1115
00:50:18,640 --> 00:50:21,680
Speaker 4: you see three D printed slop everywhere, and that is

1116
00:50:21,719 --> 00:50:24,160
Speaker 4: this is interesting, like the way that you know, if

1117
00:50:24,200 --> 00:50:26,040
Speaker 4: you if you go to like a like a like

1118
00:50:26,040 --> 00:50:27,680
Speaker 4: like a comic con or like a red and fare

1119
00:50:28,320 --> 00:50:30,200
Speaker 4: things that they used to be you know, like hand

1120
00:50:30,360 --> 00:50:33,279
Speaker 4: handmade cool like novelty goods. Now it's just all these

1121
00:50:33,280 --> 00:50:36,160
Speaker 4: three D printed dragons because we can use these, we

1122
00:50:36,200 --> 00:50:38,560
Speaker 4: can use these, uh, use these devices just to like

1123
00:50:38,640 --> 00:50:41,680
Speaker 4: print out print out this like you know, plastic bullshit.

1124
00:50:42,200 --> 00:50:45,520
Speaker 4: And there's a similar thing happening with with these GTP

1125
00:50:45,680 --> 00:50:49,400
Speaker 4: wrappers where instead of they are kind of new products,

1126
00:50:49,400 --> 00:50:53,600
Speaker 4: but it's all it's all building some physical mechanism around this.

1127
00:50:53,840 --> 00:50:56,680
Speaker 4: The same the same like the same software service it's the.

1128
00:50:56,719 --> 00:50:59,200
Speaker 2: Natural endpoint of ce S. It's just like half of

1129
00:50:59,239 --> 00:51:01,400
Speaker 2: the ship's never going to exist anyway, so they're just like,

1130
00:51:01,480 --> 00:51:04,759
Speaker 2: mah fuck, it is connected to the magic API thing

1131
00:51:04,800 --> 00:51:06,760
Speaker 2: and then product please invest.

1132
00:51:07,080 --> 00:51:08,560
Speaker 3: I genuinely there is.

1133
00:51:10,000 --> 00:51:11,960
Speaker 2: Partly because of where I am in my life. I

1134
00:51:12,000 --> 00:51:13,960
Speaker 2: can't do this this year, but maybe next. I think

1135
00:51:13,960 --> 00:51:15,839
Speaker 2: I'm just if that they're not going to be here

1136
00:51:15,840 --> 00:51:18,080
Speaker 2: next year, But if there are still LM companies next year,

1137
00:51:18,200 --> 00:51:19,600
Speaker 2: all I'm going to do is walk up to them

1138
00:51:19,719 --> 00:51:22,480
Speaker 2: and do the Radcliffe as we call it. It's like, what,

1139
00:51:22,480 --> 00:51:24,560
Speaker 2: what's the point of this? Why do I care?

1140
00:51:24,880 --> 00:51:26,279
Speaker 1: And who gives a shit about that?

1141
00:51:26,360 --> 00:51:27,640
Speaker 2: Yeah? Who cares? Who cares?

1142
00:51:27,640 --> 00:51:28,680
Speaker 1: Who cares?

1143
00:51:28,800 --> 00:51:33,120
Speaker 2: Who cares? Because honestly, I don't think ninety percent of

1144
00:51:33,160 --> 00:51:36,040
Speaker 2: this show can answer that question. Last year, when I

1145
00:51:36,080 --> 00:51:38,879
Speaker 2: saw my favorite booth, which was the Korean baseball one,

1146
00:51:39,239 --> 00:51:41,359
Speaker 2: where it's just it was like a golf tee thing

1147
00:51:41,400 --> 00:51:43,719
Speaker 2: but for baseball, and the guys were like, no, you

1148
00:51:43,840 --> 00:51:45,200
Speaker 2: need to step up and hit the ball, I'm like,

1149
00:51:45,320 --> 00:51:47,239
Speaker 2: I cannot do it. I will be shipped. And then

1150
00:51:47,239 --> 00:51:48,920
Speaker 2: when I finally did, they were like, oh right, you

1151
00:51:48,960 --> 00:51:51,400
Speaker 2: can't hit it. I'm like I fucking told you. But

1152
00:51:51,440 --> 00:51:52,959
Speaker 2: when I asked him, I was like, it's for people

1153
00:51:53,000 --> 00:51:55,439
Speaker 2: that can hit baseballs. I'm like, yeah, I know, and

1154
00:51:55,800 --> 00:51:58,280
Speaker 2: like professional baseball players who have their own like mansions

1155
00:51:58,280 --> 00:52:00,200
Speaker 2: and chat. I'm like, that makes sense. I could the

1156
00:52:00,239 --> 00:52:02,360
Speaker 2: people who played baseball and you want to hit the

1157
00:52:02,360 --> 00:52:04,440
Speaker 2: ball at home. And also just it's fun to go

1158
00:52:04,480 --> 00:52:06,880
Speaker 2: to a batting cage. Totally this year, it's like I

1159
00:52:07,120 --> 00:52:10,520
Speaker 2: went looking for stuff like that. I really wanted, like

1160
00:52:10,560 --> 00:52:13,360
Speaker 2: a baseball cage, something like that. I want. I wanted

1161
00:52:13,400 --> 00:52:17,320
Speaker 2: something fun. There's a golfing a golfing simulator.

1162
00:52:17,520 --> 00:52:19,280
Speaker 3: Okay, okay, what happened.

1163
00:52:19,719 --> 00:52:21,600
Speaker 2: Let's just golf. It's pretty much.

1164
00:52:21,640 --> 00:52:24,480
Speaker 4: I think it's a the you said it heysen, I

1165
00:52:24,480 --> 00:52:28,240
Speaker 4: want to say hens. I think it's at a Hecense booth.

1166
00:52:28,440 --> 00:52:31,920
Speaker 2: That's nice. There is some it's like a projected.

1167
00:52:31,600 --> 00:52:35,160
Speaker 5: Ennis set up in uh in the Venetian Expo. Tennis

1168
00:52:35,200 --> 00:52:35,920
Speaker 5: out the middle of it.

1169
00:52:36,040 --> 00:52:37,880
Speaker 3: Yeah, you know. The idea is like you're sort of

1170
00:52:37,880 --> 00:52:41,880
Speaker 3: like tennis coach. It will like, you know, serve very I.

1171
00:52:42,040 --> 00:52:44,560
Speaker 2: Just try that tomorrow. Yeah, I'm actually curious about the tennis.

1172
00:52:44,560 --> 00:52:45,800
Speaker 3: See that's fun.

1173
00:52:45,920 --> 00:52:47,399
Speaker 2: Yeah, we like that.

1174
00:52:47,400 --> 00:52:49,960
Speaker 3: That's that's good. We like tennis.

1175
00:52:50,120 --> 00:52:51,120
Speaker 2: We love tennis.

1176
00:52:52,400 --> 00:52:54,120
Speaker 1: I had a little bit of human connection.

1177
00:52:54,280 --> 00:52:55,920
Speaker 2: That's great. Tell me, please God.

1178
00:52:56,680 --> 00:53:00,279
Speaker 1: I was I had called a cab, so I staying

1179
00:53:00,320 --> 00:53:02,960
Speaker 1: at Haras and I had called a cab from Harah's

1180
00:53:03,000 --> 00:53:07,359
Speaker 1: to the convention center, and you know, everybody just goes

1181
00:53:07,400 --> 00:53:10,800
Speaker 1: down to the little uber waiting zone and there were

1182
00:53:10,840 --> 00:53:13,520
Speaker 1: there were a handful of people, and I just kept

1183
00:53:13,600 --> 00:53:16,640
Speaker 1: watching car after car drive up, one person get in,

1184
00:53:16,760 --> 00:53:18,440
Speaker 1: the rest of us are waiting there, and it just

1185
00:53:18,480 --> 00:53:22,080
Speaker 1: felt insane. Yeah, and I think it would have felt

1186
00:53:22,080 --> 00:53:23,640
Speaker 1: insane even if I didn't live in New York. But

1187
00:53:23,760 --> 00:53:27,520
Speaker 1: living in New York and yeah, and you know, feeling

1188
00:53:27,520 --> 00:53:30,360
Speaker 1: so passionate about public transit, I'm like, this really is insulting.

1189
00:53:30,760 --> 00:53:33,640
Speaker 1: And I my guy pulled up and I just turned

1190
00:53:33,640 --> 00:53:35,120
Speaker 1: to There were two women who were next to me,

1191
00:53:35,680 --> 00:53:36,960
Speaker 1: and I was like, do you do want to get

1192
00:53:37,000 --> 00:53:38,840
Speaker 1: in the car with me? We don't have to talk.

1193
00:53:39,520 --> 00:53:42,719
Speaker 1: And one of them gratefully accepted, and she was like,

1194
00:53:42,719 --> 00:53:44,600
Speaker 1: my uber kept canceling, I kept not being able to

1195
00:53:44,640 --> 00:53:46,319
Speaker 1: get a car, Thank you so much. And the other

1196
00:53:46,360 --> 00:53:49,120
Speaker 1: woman didn't just looked up, didn't say anything, looked back

1197
00:53:49,160 --> 00:53:51,000
Speaker 1: on her phone. I copy that.

1198
00:53:51,680 --> 00:53:52,680
Speaker 2: Now there's the New Yorker.

1199
00:53:52,920 --> 00:53:57,840
Speaker 1: Yeah, yeah, yeah, truly, and she I'm not one hundred

1200
00:53:57,840 --> 00:53:59,040
Speaker 1: percent sure that she understood what.

1201
00:53:59,160 --> 00:54:02,000
Speaker 2: Yeah, I was saying, that's probably more luckily, but this one.

1202
00:54:02,040 --> 00:54:03,359
Speaker 1: And I got in the car and we wound up

1203
00:54:03,400 --> 00:54:05,720
Speaker 1: riding the whole way I mean, you know, or talking

1204
00:54:05,760 --> 00:54:08,520
Speaker 1: the whole way on the ride, and I asked what

1205
00:54:08,600 --> 00:54:10,640
Speaker 1: she did. I saw that her badge said Apple. And

1206
00:54:11,960 --> 00:54:14,600
Speaker 1: she was saying that she's a buyer for stores and

1207
00:54:15,360 --> 00:54:16,960
Speaker 1: she said, I, you know, I didn't used to work

1208
00:54:16,960 --> 00:54:18,080
Speaker 1: in tech. And I said, what did you used to

1209
00:54:18,120 --> 00:54:19,040
Speaker 1: do and she said, well, I used to be in

1210
00:54:19,040 --> 00:54:21,440
Speaker 1: supply chain management and I went, oh that's cool. I

1211
00:54:21,520 --> 00:54:24,080
Speaker 1: used to be in supply chain management and she said, oh, yeah,

1212
00:54:24,080 --> 00:54:25,560
Speaker 1: I used to work at Target. And I was like, oh,

1213
00:54:25,640 --> 00:54:27,600
Speaker 1: I used to work at Target. She said, oh, I

1214
00:54:27,600 --> 00:54:29,120
Speaker 1: was a business analyst and I was like, oh, I

1215
00:54:29,160 --> 00:54:33,000
Speaker 1: was a business analyst at Target headquarters in Minneapolis, were you?

1216
00:54:33,239 --> 00:54:37,560
Speaker 1: And yeah, yeah, yeah yeah. For two years, For two years,

1217
00:54:37,680 --> 00:54:41,360
Speaker 1: all Soda Coke, Pepsy, Doctor Pepper, all subsidiary brands that

1218
00:54:41,360 --> 00:54:43,320
Speaker 1: passed through all the eighteen hundred Target stores in the

1219
00:54:43,320 --> 00:54:47,440
Speaker 1: country passed through ME, which is insane that they let me.

1220
00:54:47,800 --> 00:54:50,120
Speaker 3: A nice twenty one year old queen of soda.

1221
00:54:50,200 --> 00:54:53,200
Speaker 1: Queen of soda. I used to say pop until I

1222
00:54:53,239 --> 00:54:57,440
Speaker 1: worked Western. Yeah yeah, pop pap. Oh yeah, I have

1223
00:54:57,480 --> 00:55:02,080
Speaker 1: some pap. And she you know what's even wilder. She

1224
00:55:03,080 --> 00:55:06,840
Speaker 1: uh worked on the snacks desk and I in the

1225
00:55:06,880 --> 00:55:09,560
Speaker 1: Snaxt department. And I trained on the cookie cracker desk.

1226
00:55:09,640 --> 00:55:12,480
Speaker 1: That's good in the Snaxt department. It just was like

1227
00:55:12,520 --> 00:55:13,760
Speaker 1: this very weird small world.

1228
00:55:13,880 --> 00:55:15,920
Speaker 2: Did you learn anything about apple anything?

1229
00:55:16,040 --> 00:55:16,759
Speaker 1: Absolutely nothing.

1230
00:55:16,840 --> 00:55:16,920
Speaker 2: No.

1231
00:55:17,000 --> 00:55:19,440
Speaker 1: I was like trying to have I was trying. I

1232
00:55:19,480 --> 00:55:21,399
Speaker 1: was like trying to get in a little bit more,

1233
00:55:21,400 --> 00:55:23,120
Speaker 1: and I just was like, this is not it's not

1234
00:55:23,239 --> 00:55:24,359
Speaker 1: We're really you could have.

1235
00:55:24,320 --> 00:55:24,719
Speaker 3: Done a bit.

1236
00:55:24,760 --> 00:55:28,799
Speaker 2: You could have been like, well, fruit, just like your

1237
00:55:28,800 --> 00:55:29,440
Speaker 2: mouth slayer.

1238
00:55:30,600 --> 00:55:31,160
Speaker 1: That's gold.

1239
00:55:31,360 --> 00:55:35,120
Speaker 2: I know the thing the thing about having like because

1240
00:55:35,160 --> 00:55:37,360
Speaker 2: the Raa of West London I grew up in, I

1241
00:55:37,400 --> 00:55:39,200
Speaker 2: can't sound fucking I mean I was about to say,

1242
00:55:39,200 --> 00:55:41,520
Speaker 2: I can sound fucking stupid, really obvious. South we would

1243
00:55:41,560 --> 00:55:48,040
Speaker 2: go you really, Yeah, he's learning learning, see that one coming.

1244
00:55:49,680 --> 00:55:52,560
Speaker 2: Well the fruit, you can just have your mouth.

1245
00:55:53,120 --> 00:55:54,120
Speaker 1: I'll find I'll find her.

1246
00:55:54,239 --> 00:56:00,919
Speaker 2: Yeah, this is my simpleton friend, line, he's now, oh

1247
00:56:00,960 --> 00:56:03,920
Speaker 2: my god, the idea of sharing my Uber with someone anywhere,

1248
00:56:04,040 --> 00:56:05,640
Speaker 2: but let alone Las Vegas.

1249
00:56:05,960 --> 00:56:09,360
Speaker 1: What was more interesting was the driver wound up talking

1250
00:56:09,400 --> 00:56:14,680
Speaker 1: about the driver worked for over thirty years at a restaurant,

1251
00:56:14,719 --> 00:56:20,320
Speaker 1: at some restaurant and just got laid off, lost no severance,

1252
00:56:20,640 --> 00:56:25,280
Speaker 1: lost all of his benefits. Now he's doing Uber and

1253
00:56:25,360 --> 00:56:27,360
Speaker 1: he and he was like, there are no jobs. So

1254
00:56:27,360 --> 00:56:30,040
Speaker 1: many people are looking for jobs and everybody's out of work.

1255
00:56:30,120 --> 00:56:32,080
Speaker 1: And he said, I just got hired back at the

1256
00:56:32,160 --> 00:56:34,800
Speaker 1: exact same restaurant that I worked at for over thirty years,

1257
00:56:35,239 --> 00:56:37,879
Speaker 1: but I got hired back at the absolute lowest entry

1258
00:56:37,960 --> 00:56:40,480
Speaker 1: level and only for the holiday season, and so I

1259
00:56:40,480 --> 00:56:43,160
Speaker 1: don't have any vacation. I can't he said, I can't

1260
00:56:43,160 --> 00:56:46,000
Speaker 1: even bump somebody working in the coffee shop. I like,

1261
00:56:46,360 --> 00:56:51,600
Speaker 1: he it's it's such an insult. And it was the

1262
00:56:51,960 --> 00:56:55,360
Speaker 1: most interesting thing he said. He said, I think people

1263
00:56:55,360 --> 00:56:58,520
Speaker 1: in tech think that they are safe from it. Yeah,

1264
00:56:58,560 --> 00:57:02,120
Speaker 1: because she also she was like, she was very sweet,

1265
00:57:02,200 --> 00:57:04,360
Speaker 1: but she was like, you know, they should repurpose the workers.

1266
00:57:04,719 --> 00:57:06,880
Speaker 2: And I was, oh, I want to fucking I know.

1267
00:57:07,160 --> 00:57:09,439
Speaker 1: And I was like, the whole point, literally the point

1268
00:57:09,440 --> 00:57:12,600
Speaker 1: of laying off these people is to not have the worker,

1269
00:57:12,800 --> 00:57:15,520
Speaker 1: Like the point is to not repurpose the worker.

1270
00:57:15,719 --> 00:57:18,000
Speaker 2: And it seems like they are repurposing the worker as

1271
00:57:18,000 --> 00:57:19,960
Speaker 2: the worker they had, but then they just pay them there.

1272
00:57:20,040 --> 00:57:22,080
Speaker 1: Yeah, it's a little confusing. I mean, I mean, I

1273
00:57:22,080 --> 00:57:26,200
Speaker 1: think I think both are happening. And he wound up

1274
00:57:26,240 --> 00:57:28,280
Speaker 1: cutting in and he said, I think people in tech

1275
00:57:28,360 --> 00:57:32,360
Speaker 1: think that they're safe, but they are not safe. So

1276
00:57:32,560 --> 00:57:35,200
Speaker 1: many tech jobs are going to fold in the next

1277
00:57:35,200 --> 00:57:37,120
Speaker 1: in the coming years. And he was saying like, hey,

1278
00:57:37,160 --> 00:57:38,960
Speaker 1: I is going to take all the jobs. And you

1279
00:57:38,960 --> 00:57:39,880
Speaker 1: know who knows.

1280
00:57:39,880 --> 00:57:41,640
Speaker 2: He is going to take all the jobs because it's

1281
00:57:41,640 --> 00:57:43,240
Speaker 2: going to destroy all the tech companies.

1282
00:57:43,360 --> 00:57:45,040
Speaker 1: Yeah yeah, yah, yeah, yeah, Like I think that there

1283
00:57:45,080 --> 00:57:46,520
Speaker 1: are going to be a lot of tech jobs and

1284
00:57:46,600 --> 00:57:50,360
Speaker 1: he and he was like when when tech people experience it,

1285
00:57:50,440 --> 00:57:53,320
Speaker 1: they will not It will take until then for them

1286
00:57:53,320 --> 00:57:54,960
Speaker 1: to realize what other people experience.

1287
00:57:55,000 --> 00:57:56,640
Speaker 2: And it's kind of what you were saying earlier with

1288
00:57:56,640 --> 00:57:58,800
Speaker 2: Matt binda kind of an offhanded company men like, oh,

1289
00:57:58,800 --> 00:58:03,800
Speaker 2: there's someone who grew up because the scarcity mindset of like, oh,

1290
00:58:03,920 --> 00:58:05,880
Speaker 2: I can't use this ring enough because it will literally

1291
00:58:05,920 --> 00:58:09,000
Speaker 2: die on it. I drop money myself. It's like the

1292
00:58:09,080 --> 00:58:11,600
Speaker 2: sense that something can run out and it is weird

1293
00:58:11,680 --> 00:58:15,480
Speaker 2: these tech people, especially the AI, this fucking smugness, and

1294
00:58:15,800 --> 00:58:18,840
Speaker 2: that comment is probably the most cutting.

1295
00:58:19,000 --> 00:58:19,200
Speaker 3: Yeah.

1296
00:58:19,240 --> 00:58:22,200
Speaker 2: No, it's also probably the most intelligent thought I've heard

1297
00:58:22,200 --> 00:58:24,840
Speaker 2: about the tech industry all week, other than on this podcast,

1298
00:58:24,840 --> 00:58:27,520
Speaker 2: because it's like tech people really do think that they're

1299
00:58:27,600 --> 00:58:31,000
Speaker 2: insulated from this, Like tech media, they know that they

1300
00:58:31,000 --> 00:58:31,800
Speaker 2: can be laid off.

1301
00:58:31,840 --> 00:58:35,240
Speaker 5: They're well aware, they well like they Yeah, if you

1302
00:58:35,280 --> 00:58:39,240
Speaker 5: work at Meta and you've seen so many people fired Microsoft, Google.

1303
00:58:39,000 --> 00:58:40,440
Speaker 2: But you think you're safe still.

1304
00:58:40,600 --> 00:58:42,680
Speaker 1: I mean, it really felt like the the you know,

1305
00:58:42,760 --> 00:58:45,280
Speaker 1: first they came for the trade unionists, but I was

1306
00:58:45,280 --> 00:58:46,560
Speaker 1: not a trade this so I didn't.

1307
00:58:46,600 --> 00:58:51,360
Speaker 2: It kind of is It's like this condescension towards actual labor.

1308
00:58:51,760 --> 00:58:54,240
Speaker 2: Like I always say, like I can complain about my job,

1309
00:58:54,320 --> 00:58:57,880
Speaker 2: but I send little emails, I talk into the microphone,

1310
00:58:57,880 --> 00:59:00,480
Speaker 2: and I drink my little drinks like I'm very fucking lucky.

1311
00:59:00,920 --> 00:59:02,880
Speaker 2: And I have a good amount of listeners who don't

1312
00:59:02,960 --> 00:59:05,520
Speaker 2: like manual labor jobs and working restaurants, and so it's

1313
00:59:05,560 --> 00:59:07,760
Speaker 2: like fucking rock stay every people. But it's like if

1314
00:59:07,800 --> 00:59:10,080
Speaker 2: you don't speak to those people you are going to

1315
00:59:10,080 --> 00:59:10,720
Speaker 2: get into the price.

1316
00:59:10,960 --> 00:59:12,920
Speaker 4: The way, the way that labor is completely cut out

1317
00:59:12,960 --> 00:59:15,560
Speaker 4: of a convention like this, and you know there's there's

1318
00:59:16,000 --> 00:59:19,720
Speaker 4: people people talk about innovators and like ideas and like

1319
00:59:19,840 --> 00:59:21,880
Speaker 4: creatives and how like, how like you know, like the

1320
00:59:21,960 --> 00:59:25,880
Speaker 4: ideas and creative creative innovation is what is what drives everything,

1321
00:59:26,320 --> 00:59:29,920
Speaker 4: And it drives a little bit, it has it has,

1322
00:59:29,960 --> 00:59:31,400
Speaker 4: it has a little bit, but you still have to

1323
00:59:31,880 --> 00:59:33,960
Speaker 4: do the physical work. You still have to actually labor,

1324
00:59:34,320 --> 00:59:36,840
Speaker 4: and often you have to have labor to create the

1325
00:59:36,880 --> 00:59:40,440
Speaker 4: conditions that allow people to innovate quote unquote, but that

1326
00:59:40,640 --> 00:59:43,880
Speaker 4: perspective no one talks about, like the actual like labor

1327
00:59:43,920 --> 00:59:45,480
Speaker 4: part of like all of these things, even like in

1328
00:59:45,480 --> 00:59:47,280
Speaker 4: this supply chain stuff, even like the focus on like

1329
00:59:47,360 --> 00:59:52,480
Speaker 4: manufacturing this year, the labor is it gets gets completely forgotten.

1330
00:59:52,520 --> 00:59:58,200
Speaker 1: It made me wonder what the broad socioeconomic background trends

1331
00:59:58,240 --> 01:00:00,320
Speaker 1: are for most people who work in tech. Like it

1332
01:00:00,360 --> 01:00:04,480
Speaker 1: made me. It sort of made me feel like I

1333
01:00:04,480 --> 01:00:08,160
Speaker 1: got to imagine that some huge swaths of tech, of

1334
01:00:08,200 --> 01:00:09,800
Speaker 1: people who work in tech, and I don't know, this

1335
01:00:09,920 --> 01:00:12,760
Speaker 1: is me really really really taking up No, this is

1336
01:00:12,840 --> 01:00:14,880
Speaker 1: not even necessarily an educated guest. This is just a

1337
01:00:15,040 --> 01:00:19,240
Speaker 1: vibe gut, but it feels like a lot of people,

1338
01:00:19,400 --> 01:00:22,200
Speaker 1: some hyperponderance of people who work in tech, didn't grow

1339
01:00:22,280 --> 01:00:26,960
Speaker 1: up in depressed areas in the middle of the country,

1340
01:00:27,400 --> 01:00:31,919
Speaker 1: didn't grow up under the poverty line, didn't grow up

1341
01:00:32,360 --> 01:00:35,160
Speaker 1: you know, with some that. I think probably a lot

1342
01:00:35,200 --> 01:00:38,080
Speaker 1: of people in tech grew up with some relative amount

1343
01:00:38,120 --> 01:00:41,200
Speaker 1: of privilege, even if they're not white, even if they're

1344
01:00:41,240 --> 01:00:43,760
Speaker 1: you know, even from South Asian, but maybe perhaps they

1345
01:00:43,800 --> 01:00:47,600
Speaker 1: come from a family where there is disposable income whatever.

1346
01:00:49,240 --> 01:00:51,400
Speaker 1: And it made me be like, I think, like I

1347
01:00:51,440 --> 01:00:53,120
Speaker 1: grew up with that without a ton of money in

1348
01:00:53,160 --> 01:00:55,520
Speaker 1: the Midwest, and I'm like, I feel like if I

1349
01:00:55,640 --> 01:00:57,880
Speaker 1: was working in it is industry that was potentially hollowing

1350
01:00:57,920 --> 01:01:01,120
Speaker 1: out cities or potentially impacting impacting with data centers whatever.

1351
01:01:01,400 --> 01:01:05,640
Speaker 1: I think I would always always have in the back

1352
01:01:05,640 --> 01:01:08,400
Speaker 1: of my head the people who I who I grew

1353
01:01:08,480 --> 01:01:09,960
Speaker 1: up around, the people who I came from.

1354
01:01:10,400 --> 01:01:12,480
Speaker 2: I am very lucky in that I didn't grow up

1355
01:01:12,480 --> 01:01:15,080
Speaker 2: with money. But my parents work their fucking asses off,

1356
01:01:15,200 --> 01:01:17,680
Speaker 2: Like my mom and my dad worked their asses off

1357
01:01:17,680 --> 01:01:21,920
Speaker 2: my mom and me and three other children. So imagine

1358
01:01:21,920 --> 01:01:24,600
Speaker 2: that and I'm probably not the most normal child. It

1359
01:01:24,600 --> 01:01:26,680
Speaker 2: definitely wasn't. I grew up around the corner from prison

1360
01:01:26,720 --> 01:01:28,280
Speaker 2: called worm with scrubs and didn't grow up in a

1361
01:01:28,720 --> 01:01:31,080
Speaker 2: good area. My mom put food on the table so

1362
01:01:31,120 --> 01:01:33,440
Speaker 2: you can ask for And I feel like the people

1363
01:01:33,440 --> 01:01:35,000
Speaker 2: who are like we need to build the biggest, most

1364
01:01:35,080 --> 01:01:37,880
Speaker 2: huge Stata center to this never had a fucking They

1365
01:01:37,920 --> 01:01:40,040
Speaker 2: never missed a Christmas. They never had a Christmas where

1366
01:01:40,040 --> 01:01:41,920
Speaker 2: they go. And to be clear, my mom worked or

1367
01:01:41,960 --> 01:01:43,960
Speaker 2: ass and my dad worked her ass off. But it's

1368
01:01:44,000 --> 01:01:46,120
Speaker 2: like those moments, there was one and it was like

1369
01:01:46,120 --> 01:01:49,200
Speaker 2: my I think if my parents felt worse about it

1370
01:01:49,240 --> 01:01:51,360
Speaker 2: the night, I'm sorry. If my dad's listening, they do

1371
01:01:51,440 --> 01:01:53,680
Speaker 2: not feel bad. Dad, You work your ossof I love you.

1372
01:01:53,720 --> 01:01:56,320
Speaker 2: But it's like those moments are what teach you to

1373
01:01:56,360 --> 01:01:59,560
Speaker 2: actually have fucking humility and love for others, because there

1374
01:01:59,600 --> 01:02:03,440
Speaker 2: is more than just stuff. But the idea of being

1375
01:02:03,480 --> 01:02:06,160
Speaker 2: like we can repurpose this workforce really fills me full

1376
01:02:06,200 --> 01:02:09,680
Speaker 2: of angry bio because it's like this whole show feels

1377
01:02:09,720 --> 01:02:12,760
Speaker 2: at times like a monument against that where it's just

1378
01:02:12,800 --> 01:02:15,880
Speaker 2: like we don't solve real problems because you don't fucking experience.

1379
01:02:15,920 --> 01:02:18,400
Speaker 2: The Michael in Trader of Corwa doesn't know what fucking

1380
01:02:18,480 --> 01:02:21,800
Speaker 2: thing about that person driving UBERA fuck Michael and Tro

1381
01:02:23,320 --> 01:02:26,120
Speaker 2: pardon me, I want to write a beep in there.

1382
01:02:27,040 --> 01:02:29,640
Speaker 2: But yeah, it's just it sickens me because it's like

1383
01:02:29,800 --> 01:02:32,720
Speaker 2: we're gonna have kul Shnard tomorrow, Las Vegas Son fantastic

1384
01:02:32,760 --> 01:02:36,720
Speaker 2: guy for the labor angle tomorrow, because it's it's something

1385
01:02:36,840 --> 01:02:40,640
Speaker 2: really missing from here yea. And also I'm gonna be honest.

1386
01:02:41,280 --> 01:02:44,920
Speaker 2: Hearing a guy driving Uber here is saying that restaurants

1387
01:02:44,920 --> 01:02:47,680
Speaker 2: are having trouble like a laying off people is actually

1388
01:02:48,360 --> 01:02:53,800
Speaker 2: genuinely scary for the Vegas economy specifically because we usually

1389
01:02:53,960 --> 01:02:56,160
Speaker 2: I've read about that usually print money here.

1390
01:02:56,840 --> 01:03:00,080
Speaker 3: I hear international tourism is down. To figure out why

1391
01:03:00,240 --> 01:03:00,800
Speaker 3: something happened.

1392
01:03:00,880 --> 01:03:04,160
Speaker 2: Luke Winkle from Winky, I don't remember how to say them, sorry,

1393
01:03:04,240 --> 01:03:07,560
Speaker 2: Luke who who wrote a piece of slate like Vegas

1394
01:03:07,600 --> 01:03:09,960
Speaker 2: is down, and it's like when that's bad, it's bad.

1395
01:03:10,440 --> 01:03:13,000
Speaker 2: We're gonna rotate now from this somewhat grim point, but

1396
01:03:13,040 --> 01:03:14,960
Speaker 2: I will. I want to end this point by saying

1397
01:03:14,960 --> 01:03:18,040
Speaker 2: something which is important, which is I have more fucking

1398
01:03:18,080 --> 01:03:21,680
Speaker 2: respect for anyone who works in the McDonald's or diner

1399
01:03:21,880 --> 01:03:24,800
Speaker 2: or the shittiest chip shop in London and any city

1400
01:03:24,800 --> 01:03:26,840
Speaker 2: in the world, than I will ever have for anyone

1401
01:03:27,000 --> 01:03:30,040
Speaker 2: who works at fucking Google. And if you disagree with me,

1402
01:03:30,360 --> 01:03:33,080
Speaker 2: go and work a fucking day in a fucking restaurant.

1403
01:03:33,320 --> 01:03:36,000
Speaker 2: I've never done it. I'm lucky enough to never have to,

1404
01:03:36,280 --> 01:03:38,800
Speaker 2: but my whole fucking family has. And if you don't

1405
01:03:38,800 --> 01:03:42,960
Speaker 2: respect service workers, you're not welcome on this fucking show.

1406
01:03:52,560 --> 01:03:55,080
Speaker 2: A z Eezy top once said, how how how how

1407
01:03:55,080 --> 01:03:58,440
Speaker 2: We're back at Better offline CUS twenty twenty six coverage

1408
01:03:58,680 --> 01:04:02,520
Speaker 2: and we've stuffed face with tech and our face with guests.

1409
01:04:02,600 --> 01:04:04,040
Speaker 2: This was not a well written one.

1410
01:04:04,200 --> 01:04:07,200
Speaker 3: Joining me is stand up comedian Chloe Radcliffe.

1411
01:04:07,480 --> 01:04:08,600
Speaker 1: You won't let me leave.

1412
01:04:08,960 --> 01:04:10,040
Speaker 3: I won't let you leave.

1413
01:04:10,120 --> 01:04:12,440
Speaker 2: That's right. You've got two more episodes and then you

1414
01:04:12,440 --> 01:04:13,000
Speaker 2: can go.

1415
01:04:13,320 --> 01:04:15,640
Speaker 9: Won't let me leave the Cees story.

1416
01:04:15,960 --> 01:04:18,680
Speaker 2: Robert Evans are behind the bastards. I'm also not allowed

1417
01:04:18,720 --> 01:04:21,320
Speaker 2: to leave. He's not. And then we've got Western Lee,

1418
01:04:21,480 --> 01:04:25,320
Speaker 2: the writer. Now I must say Western Lee is an inspiration.

1419
01:04:25,800 --> 01:04:28,040
Speaker 2: Weston is one of the only people in the world

1420
01:04:28,160 --> 01:04:31,640
Speaker 2: who cares about annualized revenue, and you and I sat

1421
01:04:31,720 --> 01:04:33,960
Speaker 2: on you. We are friends because we sat and went.

1422
01:04:34,400 --> 01:04:38,640
Speaker 2: We've lined up all the anthropic reporting around their annualized revenues.

1423
01:04:38,680 --> 01:04:40,000
Speaker 2: We put them in the line, and we've worked out

1424
01:04:40,000 --> 01:04:41,160
Speaker 2: how much we've they've made.

1425
01:04:41,520 --> 01:04:43,760
Speaker 10: You know, it's amazing when you learn about somebody sharing

1426
01:04:43,760 --> 01:04:44,680
Speaker 10: a spreadsheet with them.

1427
01:04:45,000 --> 01:04:47,440
Speaker 2: No, it's I brought you here straight up to just

1428
01:04:47,480 --> 01:04:50,080
Speaker 2: like thank you in front of hundreds of thousands of people.

1429
01:04:50,600 --> 01:04:54,560
Speaker 1: Thanks for the first time you had sex? Wait me yeah, ah,

1430
01:04:54,640 --> 01:04:56,600
Speaker 1: oh we're getting too, we're getting to do dark.

1431
01:04:56,520 --> 01:05:00,720
Speaker 2: Nineteen Okay, I was five minutes before my twentieth Wow,

1432
01:05:00,880 --> 01:05:02,720
Speaker 2: I have my first case when I was like a

1433
01:05:02,880 --> 01:05:05,640
Speaker 2: Halloween two thousand and five. I don't know how old

1434
01:05:06,080 --> 01:05:07,400
Speaker 2: I was, not I was nineteen at the time. I

1435
01:05:07,440 --> 01:05:10,520
Speaker 2: know because I had sex like five minutes before. Wow,

1436
01:05:10,720 --> 01:05:11,440
Speaker 2: like a real.

1437
01:05:11,280 --> 01:05:13,200
Speaker 1: Like kiss, then sex, no sex then.

1438
01:05:13,160 --> 01:05:16,000
Speaker 2: Oh no, no, sorry, don't it was months later like

1439
01:05:16,280 --> 01:05:18,120
Speaker 2: it was in two thousand and six when I had

1440
01:05:18,160 --> 01:05:20,480
Speaker 2: sex for the first time. Yeah, see, I don't give

1441
01:05:20,520 --> 01:05:22,960
Speaker 2: a ship like anyway West and welcome to the show.

1442
01:05:23,280 --> 01:05:25,200
Speaker 10: Hey, happy to be here a long time, first time

1443
01:05:25,440 --> 01:05:28,680
Speaker 10: for a long time, first time and sorry you true

1444
01:05:28,680 --> 01:05:31,000
Speaker 10: open eye hater sixteen.

1445
01:05:31,680 --> 01:05:32,000
Speaker 3: Wow.

1446
01:05:32,440 --> 01:05:35,680
Speaker 2: Nice, it was comfortably.

1447
01:05:35,200 --> 01:05:39,400
Speaker 1: Yeah, that is that is so much said, cool and

1448
01:05:39,560 --> 01:05:41,960
Speaker 1: cooler than I would have expected from a man who

1449
01:05:42,000 --> 01:05:44,960
Speaker 1: said the sentence, It's amazing what you learn about somebody

1450
01:05:45,000 --> 01:05:47,440
Speaker 1: from sharing a spreadsheet.

1451
01:05:46,960 --> 01:05:48,919
Speaker 3: Western. Western's the dog.

1452
01:05:49,240 --> 01:05:51,360
Speaker 10: Yeah, oh yeah, that's been a long time since.

1453
01:05:51,120 --> 01:05:54,680
Speaker 1: Then only one.

1454
01:05:54,760 --> 01:05:58,080
Speaker 2: No, No, it's great. I too, and I'm lying if

1455
01:05:58,160 --> 01:06:00,560
Speaker 2: never had sex. No, okay, so putting my lack of

1456
01:06:00,600 --> 01:06:04,480
Speaker 2: sex aside, we have had to delete Robertsons due to

1457
01:06:04,520 --> 01:06:07,720
Speaker 2: issues of national security. So Western, what are you doing

1458
01:06:07,760 --> 01:06:09,480
Speaker 2: here at ces? What do you? What are you up to?

1459
01:06:09,760 --> 01:06:09,880
Speaker 7: So?

1460
01:06:10,320 --> 01:06:12,800
Speaker 10: I'm a game writer and I'm a copywriter and when

1461
01:06:12,840 --> 01:06:17,040
Speaker 10: I copyright, I work in like certain niches that are

1462
01:06:17,040 --> 01:06:20,800
Speaker 10: cees adjacent, like gear that content creators use to do

1463
01:06:20,920 --> 01:06:24,160
Speaker 10: podcasts and videos and stuff and film production equipment. And

1464
01:06:24,200 --> 01:06:28,840
Speaker 10: I've narrowly avoided working cees in my lifetime, like three

1465
01:06:28,960 --> 01:06:33,080
Speaker 10: four different times. It's never been and I had the opportunity,

1466
01:06:33,120 --> 01:06:34,840
Speaker 10: I was like, well, I should come scope it out.

1467
01:06:34,960 --> 01:06:38,480
Speaker 10: And I wanted to see all the amazing gadgets on

1468
01:06:38,480 --> 01:06:39,400
Speaker 10: the trade shill floor.

1469
01:06:40,560 --> 01:06:43,360
Speaker 2: Yeah, and this was a bad year for that.

1470
01:06:43,600 --> 01:06:47,760
Speaker 10: Sadly, I do you guys really live like this, Like

1471
01:06:47,840 --> 01:06:49,320
Speaker 10: every January, you just come.

1472
01:06:49,200 --> 01:06:55,200
Speaker 2: Here and yeah, fucking drag show. The about liquor on

1473
01:06:55,240 --> 01:06:56,360
Speaker 2: the show floor sometimes?

1474
01:06:56,440 --> 01:06:57,000
Speaker 1: Is that for real?

1475
01:06:57,080 --> 01:07:00,160
Speaker 2: Some of the contacts have bars, you know, and did

1476
01:07:00,240 --> 01:07:01,200
Speaker 2: you say comdex.

1477
01:07:01,400 --> 01:07:04,080
Speaker 3: Oh my god, it's like because that's what used to be.

1478
01:07:04,120 --> 01:07:06,760
Speaker 2: Right, Yeah, that's I.

1479
01:07:06,760 --> 01:07:10,000
Speaker 9: Could see the Mobile World Congress. Wrong. I was there

1480
01:07:10,000 --> 01:07:12,800
Speaker 9: the year Angry Birds came out and the Rodeo guys

1481
01:07:12,840 --> 01:07:15,760
Speaker 9: rented out like a whole beachside cabana, and every Rovio

1482
01:07:15,840 --> 01:07:18,400
Speaker 9: employee I saw at the party they were hosting was

1483
01:07:18,440 --> 01:07:21,680
Speaker 9: like blacked out to the new or past the point

1484
01:07:21,720 --> 01:07:23,720
Speaker 9: of but that makes a whole company.

1485
01:07:23,760 --> 01:07:26,160
Speaker 2: It was amazing. No, but that makes perfect sense because

1486
01:07:26,160 --> 01:07:28,000
Speaker 2: for a while they were like, Rovio is going public,

1487
01:07:28,080 --> 01:07:30,880
Speaker 2: Rovio is the Angry Birds on the next mavel. Well,

1488
01:07:30,880 --> 01:07:32,160
Speaker 2: I guess it would be Disney at the time.

1489
01:07:32,200 --> 01:07:34,800
Speaker 9: We're a bunch of like twenty two year old nerds

1490
01:07:34,840 --> 01:07:37,520
Speaker 9: who suddenly had like a three hundred million dollar company exactly.

1491
01:07:37,560 --> 01:07:40,800
Speaker 2: They win insane. It was like German or something like sweetish,

1492
01:07:40,880 --> 01:07:44,680
Speaker 2: like they were like a Nordic nation, maybe the Swedes, right, Yeah.

1493
01:07:44,560 --> 01:07:47,800
Speaker 9: No, I mean because I met a couple of Americans,

1494
01:07:47,840 --> 01:07:49,280
Speaker 9: but I don't know. It may just have been that

1495
01:07:49,320 --> 01:07:50,920
Speaker 9: their team had some I don't Yeah.

1496
01:07:51,200 --> 01:07:54,040
Speaker 2: Peter a Storm, friend of the show, My might pay

1497
01:07:54,400 --> 01:07:56,320
Speaker 2: that m could drink me to death. I don't know,

1498
01:07:56,400 --> 01:07:58,000
Speaker 2: but like if it's sweets, I'd be surprised if you

1499
01:07:58,000 --> 01:07:58,840
Speaker 2: could see the alcohol.

1500
01:07:59,080 --> 01:08:01,320
Speaker 9: But most of what I remember from that party is

1501
01:08:01,320 --> 01:08:03,640
Speaker 9: that there was a box of Cuban cigars that they

1502
01:08:03,760 --> 01:08:05,720
Speaker 9: just like had on a table and at a certain point,

1503
01:08:05,720 --> 01:08:07,120
Speaker 9: I was like, none of these kids smoke.

1504
01:08:07,640 --> 01:08:13,400
Speaker 2: They just took them the whole box. Yeah, you looted

1505
01:08:13,560 --> 01:08:14,320
Speaker 2: the Angry Post.

1506
01:08:14,520 --> 01:08:14,720
Speaker 3: It did.

1507
01:08:14,800 --> 01:08:16,559
Speaker 9: Like two and a half hours had gone by and

1508
01:08:16,560 --> 01:08:19,960
Speaker 9: no one's touched these fucking I think that Romeo Julietta's

1509
01:08:19,960 --> 01:08:21,400
Speaker 9: and I was like, fuck it, I'm taking them.

1510
01:08:21,479 --> 01:08:23,360
Speaker 10: So this is my first s Yes, So what you're

1511
01:08:23,360 --> 01:08:25,240
Speaker 10: saying is in two thousand and nine they had apps

1512
01:08:25,560 --> 01:08:27,559
Speaker 10: like it's just a bunch of phones in a booth

1513
01:08:27,560 --> 01:08:28,080
Speaker 10: and you can play.

1514
01:08:28,120 --> 01:08:32,639
Speaker 9: Ever's huge because it was a new idea because well

1515
01:08:32,720 --> 01:08:34,679
Speaker 9: it was that was the you had your your waves.

1516
01:08:34,720 --> 01:08:37,519
Speaker 9: You had like first like smartphones, and to an extent,

1517
01:08:37,600 --> 01:08:39,680
Speaker 9: the smartphone and app foam waves at the same time,

1518
01:08:39,760 --> 01:08:42,479
Speaker 9: where it was like every other booth is a new

1519
01:08:42,520 --> 01:08:45,960
Speaker 9: smartphone or like huge Google used. Google had like this

1520
01:08:46,160 --> 01:08:49,200
Speaker 9: massive booth when Google had a year after Andrew came

1521
01:08:49,479 --> 01:08:52,000
Speaker 9: or Android came out. Yeah, they had a slide one year.

1522
01:08:52,960 --> 01:08:55,360
Speaker 9: It was like three acres because it was like Android

1523
01:08:55,479 --> 01:08:57,479
Speaker 9: was like a year or two new. Oh, they were

1524
01:08:57,640 --> 01:09:00,240
Speaker 9: used to be so much fun that it was way

1525
01:09:00,240 --> 01:09:00,760
Speaker 9: better back there.

1526
01:09:00,880 --> 01:09:02,519
Speaker 2: That's kind of the thing that I think is missing

1527
01:09:02,560 --> 01:09:04,120
Speaker 2: as well, like putting aside the fact that they're on

1528
01:09:04,240 --> 01:09:04,920
Speaker 2: useful stuff.

1529
01:09:05,200 --> 01:09:06,680
Speaker 3: It doesn't even feel.

1530
01:09:06,880 --> 01:09:09,920
Speaker 2: Like light hot, Like there used to be something dorky

1531
01:09:09,960 --> 01:09:12,120
Speaker 2: Like E three in its heyday used to be kind

1532
01:09:12,120 --> 01:09:13,960
Speaker 2: of silly and also very sexist in a way that

1533
01:09:14,040 --> 01:09:17,000
Speaker 2: was reprehensible and remains that way. LOOE three is dead.

1534
01:09:17,560 --> 01:09:19,240
Speaker 2: It's like there used to be a dorkyess through his

1535
01:09:19,360 --> 01:09:21,880
Speaker 2: like fuck it where Google whenever fucking slide, like the

1536
01:09:21,920 --> 01:09:25,680
Speaker 2: big tractor is the only bit of this place is whimsy.

1537
01:09:25,360 --> 01:09:27,320
Speaker 9: Lest One year I went to E three, they had

1538
01:09:27,360 --> 01:09:30,519
Speaker 9: like two hundred extras all dressed as North Korean soldiers

1539
01:09:30,640 --> 01:09:32,760
Speaker 9: to like from home Front.

1540
01:09:32,960 --> 01:09:37,080
Speaker 2: I think it was from Home Fro written by the

1541
01:09:37,080 --> 01:09:37,880
Speaker 2: Red Dawn guy.

1542
01:09:37,960 --> 01:09:43,320
Speaker 9: Yeah, written by million million two hundred fucking North Korean

1543
01:09:43,360 --> 01:09:47,240
Speaker 9: soldiers marching around the It was it was nuts.

1544
01:09:47,040 --> 01:09:51,400
Speaker 2: Little North Korean whimsy. But this place is bereaft of whimsy.

1545
01:09:51,680 --> 01:09:55,960
Speaker 2: It's like a sexless goon cave. It's just there's just

1546
01:09:56,080 --> 01:09:58,479
Speaker 2: it's doing stuff for the sake of doing with no

1547
01:09:58,600 --> 01:09:59,960
Speaker 2: level of like self effail.

1548
01:10:00,520 --> 01:10:02,080
Speaker 1: Totally, there was no sense of humor.

1549
01:10:02,640 --> 01:10:05,120
Speaker 3: It's silly, and you should be silly about this stuff.

1550
01:10:05,280 --> 01:10:08,559
Speaker 9: It's not silly. Our pen that has a chatbot on

1551
01:10:08,600 --> 01:10:10,720
Speaker 9: it has to succeed against the four hundred other pins

1552
01:10:10,720 --> 01:10:12,720
Speaker 9: that have chatbots on it, on the glasses that have

1553
01:10:12,840 --> 01:10:15,080
Speaker 9: chat bots on it, and the chat bots that have

1554
01:10:15,280 --> 01:10:17,800
Speaker 9: actually three different chat pots if you think about it.

1555
01:10:17,840 --> 01:10:19,519
Speaker 2: But no, I think I think the general lack of

1556
01:10:19,520 --> 01:10:22,439
Speaker 2: whimsy here is just very sad because the whole thing

1557
01:10:22,479 --> 01:10:25,400
Speaker 2: about tech is it should be kind of fun. It

1558
01:10:25,479 --> 01:10:27,519
Speaker 2: is kind of especially for something like this, where it's

1559
01:10:27,560 --> 01:10:30,759
Speaker 2: like it's ostensibly for consumers, but it's like we're trying

1560
01:10:30,800 --> 01:10:31,120
Speaker 2: some shit.

1561
01:10:31,240 --> 01:10:31,360
Speaker 7: Ow.

1562
01:10:31,600 --> 01:10:33,880
Speaker 2: It's like a concept car, Like I saw a concept

1563
01:10:33,880 --> 01:10:36,839
Speaker 2: car for an autonomous vehicle, which is a bit everyone

1564
01:10:36,920 --> 01:10:39,800
Speaker 2: does every Like last year Tco makes TVs had a

1565
01:10:39,840 --> 01:10:41,920
Speaker 2: concept car and it's like this year I saw one.

1566
01:10:41,960 --> 01:10:43,080
Speaker 2: It's also half hot.

1567
01:10:43,240 --> 01:10:47,760
Speaker 1: It's now. I will say, what you're describing is tech

1568
01:10:47,840 --> 01:10:50,519
Speaker 1: that doesn't fully work, but is like taking a big

1569
01:10:50,560 --> 01:10:53,280
Speaker 1: swing with everybody knowing it doesn't fully work. Yeah, we

1570
01:10:53,320 --> 01:10:57,240
Speaker 1: all sort of forgive it. That actually describes a lot

1571
01:10:57,280 --> 01:11:00,800
Speaker 1: of what we've talked about. The laundrobot that doesn't fold

1572
01:11:02,080 --> 01:11:05,160
Speaker 1: find your keys, that doesn't find your keys, But there

1573
01:11:05,320 --> 01:11:10,000
Speaker 1: is no there seems to be no feeling of experimentation,

1574
01:11:10,160 --> 01:11:11,200
Speaker 1: there's no like.

1575
01:11:11,600 --> 01:11:12,639
Speaker 2: They're not big swings.

1576
01:11:12,720 --> 01:11:14,799
Speaker 9: Is I think the problem, like something like a laundry

1577
01:11:14,800 --> 01:11:17,360
Speaker 9: folding bot is at least like that. That remains a

1578
01:11:17,479 --> 01:11:20,040
Speaker 9: high bar for a robot to breach. And so every

1579
01:11:20,080 --> 01:11:21,800
Speaker 9: attempt at it, even though the most at least that

1580
01:11:21,840 --> 01:11:23,439
Speaker 9: you're trying to do something that we don't really have

1581
01:11:23,520 --> 01:11:26,599
Speaker 9: it down. But most of by volume, the vast majority

1582
01:11:26,600 --> 01:11:29,120
Speaker 9: of like new shit I saw was you know this

1583
01:11:29,240 --> 01:11:32,439
Speaker 9: product that already exists, it's got a chat bot. Now

1584
01:11:32,760 --> 01:11:36,240
Speaker 9: you can talk to it. It can transcribe your conversations.

1585
01:11:36,280 --> 01:11:40,479
Speaker 9: I saw like a million glasses and rings and pins

1586
01:11:40,960 --> 01:11:44,160
Speaker 9: and like a bunch of different individual products that are

1587
01:11:44,160 --> 01:11:46,680
Speaker 9: all It has a chat bot. It records your conversations

1588
01:11:46,720 --> 01:11:49,400
Speaker 9: it has a translation, right, Yeah.

1589
01:11:49,080 --> 01:11:51,679
Speaker 10: The coolest thing I saw today. It sounds like doesn't

1590
01:11:51,720 --> 01:11:55,439
Speaker 10: even normally exist at CES, which is an install, like

1591
01:11:55,479 --> 01:11:58,400
Speaker 10: an interactive install like out of Comic Con for a movie.

1592
01:11:58,840 --> 01:11:58,880
Speaker 3: What.

1593
01:11:59,280 --> 01:12:01,880
Speaker 10: Oh yeah, Rebecca Ferguson movie. We're talking about this scene.

1594
01:12:01,920 --> 01:12:02,839
Speaker 2: But I saw the booth.

1595
01:12:03,240 --> 01:12:06,400
Speaker 10: Mercy now, and it totally fits this because it's dour

1596
01:12:06,439 --> 01:12:09,720
Speaker 10: as hell, because it's a dystopian future sci fi where

1597
01:12:09,720 --> 01:12:12,479
Speaker 10: an Ai is judge Jerry and executioner for people on

1598
01:12:12,560 --> 01:12:14,480
Speaker 10: trial and stuff, and Rebecca Ferguson.

1599
01:12:14,120 --> 01:12:16,799
Speaker 2: So like compost the criminal justice system.

1600
01:12:17,000 --> 01:12:19,160
Speaker 10: The video that they had so in the booth is

1601
01:12:19,200 --> 01:12:21,519
Speaker 10: blacked out like it's a defense booth, like you're at

1602
01:12:21,560 --> 01:12:24,920
Speaker 10: a cop show or a military show. And so I

1603
01:12:25,040 --> 01:12:26,720
Speaker 10: just see this video playing on the side, and it

1604
01:12:26,720 --> 01:12:28,960
Speaker 10: takes a second for me to register that it's Rebecca

1605
01:12:29,040 --> 01:12:31,160
Speaker 10: Ferguson in the video and it's not just an ad

1606
01:12:31,240 --> 01:12:35,120
Speaker 10: for a real company. So yeah, Mercy coming out January

1607
01:12:35,200 --> 01:12:35,719
Speaker 10: twenty third.

1608
01:12:35,880 --> 01:12:39,280
Speaker 9: It's it's very fun because you said, uh, that's the

1609
01:12:39,280 --> 01:12:41,040
Speaker 9: one with Chris Pratt. When I went up to the booth,

1610
01:12:41,200 --> 01:12:42,960
Speaker 9: I asked, like, what is it, and she said, we'll

1611
01:12:42,960 --> 01:12:44,920
Speaker 9: look inside, and then I'll tell you and openside and

1612
01:12:44,960 --> 01:12:47,120
Speaker 9: it's like a guy in a chair, Well it looks

1613
01:12:47,120 --> 01:12:49,479
Speaker 9: like handcuffed in the chairs where it's like, yeah, it's

1614
01:12:49,520 --> 01:12:51,880
Speaker 9: clearly this is a robots are judging us kind of

1615
01:12:51,920 --> 01:12:53,800
Speaker 9: movie or we have an AI judge. So I walk

1616
01:12:53,840 --> 01:12:55,360
Speaker 9: out and I'm like, I don't know, is it like

1617
01:12:55,360 --> 01:12:58,200
Speaker 9: a game? And she said no, it's a movie trailer.

1618
01:12:58,240 --> 01:12:59,000
Speaker 2: And I was like oh.

1619
01:12:59,200 --> 01:13:00,680
Speaker 9: She's like, haven't you heard of the movie? And I

1620
01:13:00,720 --> 01:13:03,160
Speaker 9: was like, no, you even't heard of Mercy No, And

1621
01:13:03,200 --> 01:13:05,080
Speaker 9: she said, well, it's got Chris Pratt in it. And

1622
01:13:05,080 --> 01:13:07,080
Speaker 9: I was like, well, okay, that didn't that.

1623
01:13:07,479 --> 01:13:10,560
Speaker 1: That did not mean over you're not selling. Yeah, I

1624
01:13:10,600 --> 01:13:13,599
Speaker 1: think Chris Pratt. I think Rebecca Ferguson cancels out Chris Pratt,

1625
01:13:13,640 --> 01:13:16,360
Speaker 1: but she loses all of her all of her draw

1626
01:13:17,360 --> 01:13:19,160
Speaker 1: is also canceled out by Chris Pratt.

1627
01:13:19,200 --> 01:13:20,120
Speaker 2: So it's just a flat line.

1628
01:13:20,160 --> 01:13:20,360
Speaker 1: Yeah.

1629
01:13:21,360 --> 01:13:24,360
Speaker 2: I am so neutral. I'm fucking done with things like

1630
01:13:24,400 --> 01:13:27,240
Speaker 2: what if AI takes over everything. Make a movie where

1631
01:13:27,240 --> 01:13:29,599
Speaker 2: it's like everyone bet on the wrong course, Like make

1632
01:13:29,680 --> 01:13:33,240
Speaker 2: something where the dystopia is like societal failure based on

1633
01:13:33,280 --> 01:13:37,120
Speaker 2: stupid choices. Yeah, that are not just political or what

1634
01:13:37,200 --> 01:13:38,599
Speaker 2: if the AI is so powerful?

1635
01:13:38,800 --> 01:13:41,000
Speaker 1: Is ed you'r? Are you saying one of your listeners

1636
01:13:41,040 --> 01:13:43,479
Speaker 1: should should fund a movie that I write about this?

1637
01:13:43,760 --> 01:13:45,960
Speaker 2: Yeah? Fuck it, Yeah I can be in that.

1638
01:13:46,120 --> 01:13:46,320
Speaker 1: Great.

1639
01:13:46,560 --> 01:13:48,760
Speaker 9: The idea I've had that I was thinking about since

1640
01:13:48,760 --> 01:13:52,559
Speaker 9: we were doing our episodes on nuclear war is okay,

1641
01:13:52,680 --> 01:13:54,920
Speaker 9: you don't have Skynet gain control of the nukes, but

1642
01:13:54,960 --> 01:13:58,799
Speaker 9: instead you have the military adopt like an AI program

1643
01:13:58,840 --> 01:14:00,679
Speaker 9: that it links a bunch of its our en listening

1644
01:14:00,680 --> 01:14:05,439
Speaker 9: stations due to analyze incoming signal intelligence data, right, and

1645
01:14:05,720 --> 01:14:09,240
Speaker 9: that errantly says that there's an attack imminent, and so

1646
01:14:09,320 --> 01:14:11,759
Speaker 9: the humans decide that they're going to start by firing

1647
01:14:11,800 --> 01:14:14,240
Speaker 9: all of the missiles. And it's the job of our

1648
01:14:14,280 --> 01:14:17,280
Speaker 9: protagonists to convince all of these generals and politicians who

1649
01:14:17,320 --> 01:14:20,160
Speaker 9: are losing their minds over data that over what the

1650
01:14:20,280 --> 01:14:22,840
Speaker 9: conclusions of this AI that like, we are not in

1651
01:14:22,920 --> 01:14:24,640
Speaker 9: danger and you do not need to fire all of

1652
01:14:24,680 --> 01:14:24,960
Speaker 9: the news.

1653
01:14:25,000 --> 01:14:25,479
Speaker 3: If you made.

1654
01:14:27,200 --> 01:14:31,360
Speaker 2: Mond ian Ucci Death of Stalin, that would be really

1655
01:14:31,400 --> 01:14:34,080
Speaker 2: good because mission impossible, The Lost One. If you watch

1656
01:14:34,120 --> 01:14:36,719
Speaker 2: this fucking movie, great, If you didn't, it's so long

1657
01:14:36,760 --> 01:14:39,040
Speaker 2: and so bad and so I don't know, but it's

1658
01:14:39,080 --> 01:14:41,920
Speaker 2: like the entity controls all of the nukes, and it's like,

1659
01:14:42,680 --> 01:14:45,080
Speaker 2: who gives a fucking job. I watched that movie the

1660
01:14:45,120 --> 01:14:46,720
Speaker 2: whole time. I was just like, I hope they will

1661
01:14:46,760 --> 01:14:49,320
Speaker 2: fucking die. Like I'm just like I will these people

1662
01:14:49,680 --> 01:14:51,360
Speaker 2: of len Agela Besset, she's all right.

1663
01:14:51,640 --> 01:14:55,439
Speaker 1: Speaking of Rebecca Ferguson, movies where somebody has to convince

1664
01:14:55,520 --> 01:14:59,280
Speaker 1: somebody to not fire peremptively, right, there is the movie

1665
01:14:59,360 --> 01:15:01,040
Speaker 1: that's on Netflix that came out a couple of months

1666
01:15:01,080 --> 01:15:04,880
Speaker 1: ago that is pretty much exactly that. But it's not

1667
01:15:06,160 --> 01:15:08,400
Speaker 1: it's not exploring AI at all. It's that they pick

1668
01:15:08,439 --> 01:15:10,200
Speaker 1: up a signal that that there's a that there is

1669
01:15:10,240 --> 01:15:12,320
Speaker 1: something in coming and they can't figure out what it is.

1670
01:15:12,880 --> 01:15:14,920
Speaker 1: And that I mean, oh yeah, watch that movie.

1671
01:15:15,040 --> 01:15:17,040
Speaker 2: Yeah, yeah, yeah, the movie that just yes, yeah, And

1672
01:15:17,040 --> 01:15:19,320
Speaker 2: Rebecca Ferguson was actually I didn't remember who she was.

1673
01:15:19,400 --> 01:15:22,679
Speaker 2: Looked up. She was actually in Mission Impossible, Funal Reckoning,

1674
01:15:23,439 --> 01:15:23,800
Speaker 2: And my.

1675
01:15:23,760 --> 01:15:26,240
Speaker 1: Fucking boyfriend has a big fucking crush on her, So

1676
01:15:26,320 --> 01:15:27,320
Speaker 1: I hate her.

1677
01:15:27,520 --> 01:15:30,920
Speaker 2: Stewart, I kind of like her, Stewart, come on the show,

1678
01:15:30,960 --> 01:15:32,080
Speaker 2: you very funny?

1679
01:15:32,439 --> 01:15:36,320
Speaker 10: What if in your nuke movie? The nukes also had chatbots.

1680
01:15:36,560 --> 01:15:37,760
Speaker 9: Well, yeah, I mean you got to put because the

1681
01:15:37,840 --> 01:15:39,479
Speaker 9: nuketons to be able to tell you like how it

1682
01:15:39,520 --> 01:15:40,560
Speaker 9: needs to have a personality.

1683
01:15:40,560 --> 01:15:42,880
Speaker 10: It's like like a doctor Strangelow thing, where like every

1684
01:15:42,920 --> 01:15:45,240
Speaker 10: Peter Seller's character is a chatpot.

1685
01:15:45,360 --> 01:15:47,760
Speaker 2: Yeah, it needs each agent is like you got this,

1686
01:15:48,280 --> 01:15:50,200
Speaker 2: you got this, It's gonna be okay.

1687
01:15:50,320 --> 01:15:52,240
Speaker 9: It needs to be able to text the like bombardier

1688
01:15:52,280 --> 01:15:54,280
Speaker 9: who drops it like, Hey, I just want you to

1689
01:15:54,400 --> 01:15:55,880
Speaker 9: let you know that, like I think you did a

1690
01:15:55,920 --> 01:15:56,639
Speaker 9: really good job.

1691
01:15:57,160 --> 01:15:59,160
Speaker 1: Fly today. Fly.

1692
01:16:00,320 --> 01:16:03,920
Speaker 9: Yeah, people are going to be angry for this, but

1693
01:16:03,960 --> 01:16:04,760
Speaker 9: you did the right thing.

1694
01:16:04,760 --> 01:16:06,880
Speaker 2: It's going to be dangerous, but it's also gonna help

1695
01:16:08,200 --> 01:16:11,360
Speaker 2: I do. I think that we're approaching an I and

1696
01:16:11,479 --> 01:16:13,840
Speaker 2: UCHI versus far more than anything else at this point,

1697
01:16:13,880 --> 01:16:16,960
Speaker 2: where it's just very silly and bad, but not for

1698
01:16:17,080 --> 01:16:19,519
Speaker 2: like the nuclear holocaust way. It's just going to be

1699
01:16:19,600 --> 01:16:23,519
Speaker 2: like everyone everyone shits their pants at once economically, but yeah,

1700
01:16:23,520 --> 01:16:24,360
Speaker 2: that's also bad.

1701
01:16:24,560 --> 01:16:29,160
Speaker 9: I mean you maybe see some uh looming signs of

1702
01:16:29,200 --> 01:16:31,760
Speaker 9: that here with just the number of things that they're

1703
01:16:31,840 --> 01:16:34,479
Speaker 9: they're like pulling back on, Like I'm still saying a

1704
01:16:34,520 --> 01:16:37,040
Speaker 9: lot of the same claims made about like what's how

1705
01:16:37,160 --> 01:16:39,599
Speaker 9: self driving is going to take off, Like what part

1706
01:16:39,680 --> 01:16:42,320
Speaker 9: like that car you were talking about, tinsor the world's

1707
01:16:42,320 --> 01:16:47,760
Speaker 9: first robocar that the PR lady was absolutely certain is

1708
01:16:47,840 --> 01:16:50,799
Speaker 9: definitely coming out in the next year more and it's

1709
01:16:50,840 --> 01:16:51,839
Speaker 9: it's it's level.

1710
01:16:51,640 --> 01:16:53,720
Speaker 2: For self driving. And I was like, okay, what is

1711
01:16:53,800 --> 01:16:54,320
Speaker 2: level for me?

1712
01:16:54,880 --> 01:16:56,599
Speaker 9: Well, she said, like a Weimo And I said, well,

1713
01:16:56,600 --> 01:16:59,040
Speaker 9: weimos are only allowed to drive in a really small

1714
01:16:59,560 --> 01:17:03,639
Speaker 9: set of area. Yes, what about this, because you're kind

1715
01:17:03,640 --> 01:17:05,960
Speaker 9: of advertising that you can self drive it whenever you want.

1716
01:17:06,080 --> 01:17:07,559
Speaker 9: Is it just you can self drive it if you're

1717
01:17:07,560 --> 01:17:11,080
Speaker 9: in downtown San Francisco. And she's like, well, whatever we do,

1718
01:17:11,280 --> 01:17:13,360
Speaker 9: it's going to be completely compliant with the.

1719
01:17:13,400 --> 01:17:14,120
Speaker 2: Law and safe.

1720
01:17:14,200 --> 01:17:17,439
Speaker 9: And I was like, that's simply not an answer about

1721
01:17:18,320 --> 01:17:21,880
Speaker 9: where your car can go.

1722
01:17:21,439 --> 01:17:26,960
Speaker 2: What are you driving to today.

1723
01:17:26,600 --> 01:17:27,120
Speaker 3: On the law?

1724
01:17:28,800 --> 01:17:30,120
Speaker 2: Was this a booth person?

1725
01:17:30,400 --> 01:17:32,439
Speaker 9: This was a booth person. Now get to be fair.

1726
01:17:32,479 --> 01:17:35,080
Speaker 9: So I'm accurate. The car you can also drive it

1727
01:17:35,080 --> 01:17:37,360
Speaker 9: has the first storyial that flips out. But I was

1728
01:17:37,400 --> 01:17:39,920
Speaker 9: I was asking about, like, well, the self driving stuff,

1729
01:17:40,000 --> 01:17:42,519
Speaker 9: because you show it driving in a lot of areas.

1730
01:17:42,840 --> 01:17:45,080
Speaker 2: I also feel like self driving at this point, it's

1731
01:17:45,080 --> 01:17:47,519
Speaker 2: not a solve problem even remotely. But it's like we've

1732
01:17:47,520 --> 01:17:49,639
Speaker 2: seen it. I'm not sure what else you can show

1733
01:17:49,720 --> 01:17:52,280
Speaker 2: here unless it's driving you around.

1734
01:17:52,120 --> 01:17:54,360
Speaker 9: Keep getting better, it being functional in other.

1735
01:17:54,280 --> 01:17:56,160
Speaker 2: Areas, right, but how would you show that in the

1736
01:17:56,280 --> 01:17:58,000
Speaker 2: convention floor?

1737
01:17:58,120 --> 01:18:00,000
Speaker 9: They have a bunch of methods because a lot of

1738
01:18:00,160 --> 01:18:02,599
Speaker 9: the boosts, they'll show you here's what the camera sees,

1739
01:18:02,640 --> 01:18:06,240
Speaker 9: and here's like the big thing this year was demonstrating

1740
01:18:06,240 --> 01:18:08,720
Speaker 9: here's how much better the sensors are at cutting through

1741
01:18:08,800 --> 01:18:10,040
Speaker 9: fog and cutting.

1742
01:18:09,800 --> 01:18:12,680
Speaker 2: Right, Which is cool, I give them that stuff.

1743
01:18:12,439 --> 01:18:16,360
Speaker 9: Right, but yeah, it's it's not the same as there

1744
01:18:16,439 --> 01:18:17,960
Speaker 9: being a bunch of new products. A lot of times

1745
01:18:17,960 --> 01:18:20,640
Speaker 9: you're looking at like a disembodied piece of an automobile

1746
01:18:20,720 --> 01:18:21,920
Speaker 9: and it's like here's.

1747
01:18:21,840 --> 01:18:23,920
Speaker 2: And a bunch of flashing thingies, and it's like, look

1748
01:18:24,000 --> 01:18:25,960
Speaker 2: look at all the things we know. Look a cat.

1749
01:18:26,200 --> 01:18:28,080
Speaker 9: Yeah, and I don't doubt that it's important, But I

1750
01:18:28,240 --> 01:18:30,160
Speaker 9: guess what I'm kind of gathering is that like we're

1751
01:18:30,160 --> 01:18:33,479
Speaker 9: continuing to slowly figure out this technology and maybe one

1752
01:18:33,560 --> 01:18:38,520
Speaker 9: day it'll get there. Before you know, society collapses.

1753
01:18:38,760 --> 01:18:41,360
Speaker 2: Yeah, it's like the CS trough of dis illusion. Yeah,

1754
01:18:41,439 --> 01:18:44,439
Speaker 2: show it's just everyone's just kind of like, yeah, well

1755
01:18:44,560 --> 01:18:47,439
Speaker 2: we're still working it out, give me money.

1756
01:18:47,680 --> 01:18:53,080
Speaker 1: And that's what I want to reiterate is when we

1757
01:18:53,080 --> 01:18:55,880
Speaker 1: were talking about the whimsy, the kind of stuff that

1758
01:18:56,040 --> 01:18:57,760
Speaker 1: is like it doesn't work and it's not gonna be

1759
01:18:57,800 --> 01:19:00,120
Speaker 1: ready for a long time was acceptable when there is

1760
01:19:00,240 --> 01:19:03,479
Speaker 1: some kind of self awareness, Yeah, it's not gonna be

1761
01:19:03,560 --> 01:19:05,840
Speaker 1: ready for a long time. Yeah, when it is tried.

1762
01:19:05,920 --> 01:19:08,080
Speaker 1: When when when a company is trying to pass it off,

1763
01:19:09,000 --> 01:19:10,960
Speaker 1: is hoping that you don't ask the question of and

1764
01:19:11,000 --> 01:19:12,960
Speaker 1: when will this be available and how much money is

1765
01:19:12,960 --> 01:19:14,920
Speaker 1: it and can it do this and can do when

1766
01:19:14,920 --> 01:19:16,720
Speaker 1: they seem to sort of be hoping that you just

1767
01:19:16,760 --> 01:19:18,880
Speaker 1: buy the ruse, that's when it's frustrating.

1768
01:19:18,960 --> 01:19:22,519
Speaker 2: And that's like that was very much you usually reserved

1769
01:19:22,560 --> 01:19:25,080
Speaker 2: for like Kickstarter and Indiegogo shit where it's like, okay,

1770
01:19:25,160 --> 01:19:28,479
Speaker 2: you're kind of backing something vestigial and like you usually

1771
01:19:28,479 --> 01:19:30,639
Speaker 2: wouldn't back the one that couldn't show you something because

1772
01:19:30,680 --> 01:19:33,280
Speaker 2: those ones will disappear with your money. But now like

1773
01:19:33,439 --> 01:19:35,880
Speaker 2: Nvidia is running things like kickstarts up because you can't

1774
01:19:35,880 --> 01:19:38,400
Speaker 2: get refunds or change things, which is so cool.

1775
01:19:38,520 --> 01:19:40,599
Speaker 10: You apparently don't have to pay for anything now either.

1776
01:19:40,760 --> 01:19:44,400
Speaker 2: We love it folks, but it's it's so strange as well,

1777
01:19:44,439 --> 01:19:47,759
Speaker 2: because you, I mean, sure you've got hucks. This ces,

1778
01:19:47,840 --> 01:19:50,360
Speaker 2: but there would be a level of mad scientist to it,

1779
01:19:50,400 --> 01:19:52,280
Speaker 2: like the LG. Kloyd robot.

1780
01:19:52,600 --> 01:19:56,439
Speaker 9: Ah Chloyd, Oh Cloyd, Well, oh Kloyd, Oh Kloyd. Cloyd

1781
01:19:56,560 --> 01:19:59,080
Speaker 9: is your new best friend. He's a robot that can

1782
01:19:59,160 --> 01:20:02,519
Speaker 9: do your dish is very slowly and also can't really

1783
01:20:02,560 --> 01:20:05,439
Speaker 9: do them cat not like well. And he can fold

1784
01:20:05,640 --> 01:20:09,320
Speaker 9: some kinds of very simple laundry like towels, again very slowly.

1785
01:20:09,439 --> 01:20:12,960
Speaker 2: And yeah, it was saying hook he said he couldn't

1786
01:20:13,000 --> 01:20:15,240
Speaker 2: fold them properly. It didn't look good at it.

1787
01:20:15,360 --> 01:20:18,000
Speaker 9: No, and if you're kind of old and fading, it

1788
01:20:18,000 --> 01:20:19,280
Speaker 9: can remind you to eat fruit.

1789
01:20:19,840 --> 01:20:23,320
Speaker 2: Yeah, it's name is Cloyd, but Cloyd like not a

1790
01:20:23,400 --> 01:20:25,559
Speaker 2: natural thing to say. But the thing is like something

1791
01:20:25,640 --> 01:20:28,560
Speaker 2: like Cloyd. They would be like, this is just a concept.

1792
01:20:28,600 --> 01:20:30,760
Speaker 2: Like you, Samsung a few years ago just had a

1793
01:20:30,840 --> 01:20:33,519
Speaker 2: giant like circle thing you could sit in and it

1794
01:20:33,680 --> 01:20:35,639
Speaker 2: had giant screens and they were very much like it's

1795
01:20:35,640 --> 01:20:38,320
Speaker 2: the same Sung crazy experience. It's like just some shit

1796
01:20:38,360 --> 01:20:39,880
Speaker 2: to show its yes, and everyone went in went like

1797
01:20:39,920 --> 01:20:42,679
Speaker 2: cool sat and Sung's fucking around with screens because Samsung

1798
01:20:42,800 --> 01:20:45,000
Speaker 2: makes screens. But this was like, yeah, it's the year

1799
01:20:45,040 --> 01:20:47,800
Speaker 2: of robots. Yeah, it's the year of robots in your home.

1800
01:20:47,920 --> 01:20:52,560
Speaker 2: Well okay, not your home or a home anywhere, but

1801
01:20:52,720 --> 01:20:55,800
Speaker 2: this home we built here it kind of doesn't work

1802
01:20:55,800 --> 01:20:58,400
Speaker 2: in But what if it did? But it doesn't? Please don't.

1803
01:20:58,439 --> 01:21:00,479
Speaker 2: You can't buy it? When can you buy it? It doesn't exist?

1804
01:21:00,560 --> 01:21:01,120
Speaker 2: How much is it?

1805
01:21:01,160 --> 01:21:02,960
Speaker 9: We work at the video of this robot with the

1806
01:21:02,960 --> 01:21:06,160
Speaker 9: woman we got whose hair is like studiously gray, even

1807
01:21:06,160 --> 01:21:08,160
Speaker 9: though she she doesn't look like she's about you out

1808
01:21:08,160 --> 01:21:10,360
Speaker 9: of her late forties, but we clearly want you to

1809
01:21:10,360 --> 01:21:12,400
Speaker 9: think of her as old for the sections where it

1810
01:21:12,400 --> 01:21:14,559
Speaker 9: looks like it's a robot for helping an old person.

1811
01:21:14,880 --> 01:21:17,040
Speaker 9: But then here's some kids playing it, so you know

1812
01:21:17,080 --> 01:21:19,000
Speaker 9: that it's good with kids, because we'd love it if

1813
01:21:19,040 --> 01:21:21,200
Speaker 9: families bought it too, But we don't really know what

1814
01:21:21,240 --> 01:21:23,760
Speaker 9: people want out of a robot that looks like a

1815
01:21:23,800 --> 01:21:27,799
Speaker 9: cross between the robot from a fucking what's what's.

1816
01:21:27,600 --> 01:21:29,479
Speaker 2: That eighties movie? Not Wally the one.

1817
01:21:29,320 --> 01:21:32,360
Speaker 9: Before wait the decades it's silent running no, no, no,

1818
01:21:32,520 --> 01:21:34,120
Speaker 9: fuck the nerdy.

1819
01:21:33,880 --> 01:21:39,559
Speaker 2: Batteries not included. No, I will say email if you

1820
01:21:39,720 --> 01:21:41,439
Speaker 2: remember the one I'm just imagining my.

1821
01:21:41,800 --> 01:21:43,680
Speaker 9: Daily department, it's not a humanoid robots one.

1822
01:21:43,760 --> 01:21:47,800
Speaker 2: Yes, Marion, my daily grandmother would have fucking hated these things,

1823
01:21:47,800 --> 01:21:51,599
Speaker 2: like just the Also, old people, their brains still fucking work.

1824
01:21:51,680 --> 01:21:55,400
Speaker 2: They will feel the condescension of the world's slowest machine

1825
01:21:55,439 --> 01:21:56,120
Speaker 2: doing something.

1826
01:21:56,360 --> 01:21:58,240
Speaker 3: But on top of it, if they were just.

1827
01:21:58,200 --> 01:22:00,960
Speaker 2: Like, here are some shit we're trying now, like we've

1828
01:22:00,960 --> 01:22:03,599
Speaker 2: found pistons and like senses, we're trying these new sets,

1829
01:22:03,680 --> 01:22:05,920
Speaker 2: I would be fucking like, fuck me up, Like, fine,

1830
01:22:06,000 --> 01:22:08,040
Speaker 2: show me the new things you're working on. But it's

1831
01:22:08,120 --> 01:22:11,360
Speaker 2: framed as it and there are journalists writing this is

1832
01:22:11,400 --> 01:22:14,360
Speaker 2: the ces of robots and you're being fucking played, every

1833
01:22:14,400 --> 01:22:15,519
Speaker 2: single fucking one of you.

1834
01:22:16,520 --> 01:22:19,599
Speaker 9: Well, I mean there's the there's industrial robots, which like

1835
01:22:19,680 --> 01:22:22,040
Speaker 9: it looks like some of them are getting bad. I'm

1836
01:22:22,040 --> 01:22:24,400
Speaker 9: not great at it, but like I've seen like big

1837
01:22:24,479 --> 01:22:27,800
Speaker 9: robot arms that are like folding paper with a lot

1838
01:22:27,880 --> 01:22:30,400
Speaker 9: more dexterity that I used to seeing and stuff like that.

1839
01:22:30,520 --> 01:22:32,719
Speaker 9: And I'm saying even like there was a humanoid rubbo

1840
01:22:32,760 --> 01:22:35,920
Speaker 9: with hands that was could just do that, and so

1841
01:22:36,000 --> 01:22:39,240
Speaker 9: I'll believe that there's some like industrial applications, but so

1842
01:22:39,360 --> 01:22:41,240
Speaker 9: much of the show is set on selling the idea

1843
01:22:41,240 --> 01:22:43,720
Speaker 9: of a home robot, and none of those look like

1844
01:22:43,720 --> 01:22:47,120
Speaker 9: they can do anything useful and they almost be expensive,

1845
01:22:47,400 --> 01:22:49,160
Speaker 9: And I don't know why you think people want one.

1846
01:22:49,479 --> 01:22:52,080
Speaker 2: I just feel like the CEA who runs this show,

1847
01:22:53,200 --> 01:22:56,720
Speaker 2: how is there not like a fraudulent element to this,

1848
01:22:56,800 --> 01:22:59,879
Speaker 2: because when most of the show appears to be deception,

1849
01:23:00,840 --> 01:23:02,679
Speaker 2: because like I've been to a lot of these fucking

1850
01:23:02,680 --> 01:23:05,040
Speaker 2: that they've been coming here since twenty eleven, I've seen

1851
01:23:05,080 --> 01:23:07,200
Speaker 2: a lot of weird shit that was kind of vestigiou

1852
01:23:07,200 --> 01:23:09,320
Speaker 2: and like, Okay, we're working on this, maybe it will happen,

1853
01:23:09,360 --> 01:23:13,360
Speaker 2: maybe it won't, but not most of it. And it

1854
01:23:13,400 --> 01:23:16,280
Speaker 2: feels like the ultimate end point of just never fucking

1855
01:23:16,520 --> 01:23:19,040
Speaker 2: truly holding their feet to the fire and never asking.

1856
01:23:19,200 --> 01:23:20,680
Speaker 2: And I keep going back to this clubbing. I know

1857
01:23:20,960 --> 01:23:22,960
Speaker 2: I will actually say this just on behalf of me

1858
01:23:23,000 --> 01:23:25,200
Speaker 2: and the listeners. You keep saying these derisive things about

1859
01:23:25,240 --> 01:23:27,240
Speaker 2: yourself that are incorrect, like oh, it's a layperson.

1860
01:23:27,320 --> 01:23:28,759
Speaker 3: Oh I'm stupid, You're not stupid.

1861
01:23:28,760 --> 01:23:31,040
Speaker 2: You're asking the questions that the journalists should ask, like

1862
01:23:31,160 --> 01:23:34,120
Speaker 2: who cares and it's like, well, who cares? But also

1863
01:23:34,439 --> 01:23:36,880
Speaker 2: is this real? Will you ever make it? Does this

1864
01:23:36,920 --> 01:23:39,280
Speaker 2: do the thing that you should do? The fact that

1865
01:23:39,320 --> 01:23:44,200
Speaker 2: the ca themselves doesn't have this level is disgraceful.

1866
01:23:44,600 --> 01:23:47,000
Speaker 9: Well, yeah, I think they made the decision a long

1867
01:23:47,040 --> 01:23:50,080
Speaker 9: time ago that they're in the business of number one,

1868
01:23:50,120 --> 01:23:53,720
Speaker 9: providing real estate to these companies. Yeah, they're working for

1869
01:23:53,840 --> 01:23:57,439
Speaker 9: the company selling this schluck right, Like that's that's their

1870
01:23:57,600 --> 01:24:00,120
Speaker 9: job and it's not even you would think. And I

1871
01:24:00,160 --> 01:24:02,320
Speaker 9: think maybe in the past there was a broad understanding

1872
01:24:02,320 --> 01:24:04,280
Speaker 9: that part of their job was to ensure that the

1873
01:24:04,320 --> 01:24:08,160
Speaker 9: tech industry remained healthy and didn't become what it's turned into.

1874
01:24:08,240 --> 01:24:11,360
Speaker 9: But it's been a while since anybody in the business

1875
01:24:11,439 --> 01:24:13,639
Speaker 9: world felt like they had responsibility for anything.

1876
01:24:13,680 --> 01:24:17,839
Speaker 2: But even then, like this feels like almost the beginning

1877
01:24:17,840 --> 01:24:21,719
Speaker 2: of the punishment, because what happens when all of these

1878
01:24:21,840 --> 01:24:24,599
Speaker 2: companies with the LLM rappers die, Who's going to pay

1879
01:24:24,600 --> 01:24:27,760
Speaker 2: for these fucking boots? Because if there were other companies

1880
01:24:27,760 --> 01:24:31,559
Speaker 2: that pay them, they would have paid. I saw a

1881
01:24:31,600 --> 01:24:35,280
Speaker 2: fucking chunk of the Venetian or the Palazzo casino closed

1882
01:24:35,320 --> 01:24:39,560
Speaker 2: off today because there weren't enough gamblers. Oh pretty gamblers

1883
01:24:39,560 --> 01:24:42,400
Speaker 2: aren't here during a business week. What is going on?

1884
01:24:42,479 --> 01:24:45,759
Speaker 2: We can't con people from other countries into gambling.

1885
01:24:45,840 --> 01:24:47,400
Speaker 1: I did wonder if.

1886
01:24:47,680 --> 01:24:49,519
Speaker 9: The people from other countries are visiting as much.

1887
01:24:49,720 --> 01:24:52,439
Speaker 2: Yeah, well that's probably because there aren't good enough catch.

1888
01:24:52,520 --> 01:24:55,080
Speaker 2: I'm joking, joking, Chloe, we you canna say?

1889
01:24:55,320 --> 01:24:59,519
Speaker 1: I did wonder if this population is a uh like

1890
01:24:59,600 --> 01:25:00,400
Speaker 1: gamble party?

1891
01:25:00,520 --> 01:25:05,800
Speaker 2: Yes, population, yes, people. It used to be ces. People

1892
01:25:05,800 --> 01:25:08,599
Speaker 2: would come get rip shit, they'd see it, or stand

1893
01:25:08,600 --> 01:25:11,439
Speaker 2: at our beautiful craps tables. They'd be they'd be going

1894
01:25:11,439 --> 01:25:13,519
Speaker 2: all the hard ways. They'd be doing big six, big A,

1895
01:25:13,520 --> 01:25:16,599
Speaker 2: all the dumbest bets. These motherfuckers put so much money

1896
01:25:16,640 --> 01:25:19,559
Speaker 2: on midnight, which is twelve on the crab's table. That's

1897
01:25:19,600 --> 01:25:21,200
Speaker 2: how you know you have a healthy Vegas when you've

1898
01:25:21,200 --> 01:25:23,680
Speaker 2: got some dumb fucks at the craps tables. Yeah, we've

1899
01:25:23,720 --> 01:25:25,080
Speaker 2: got empty craps tables.

1900
01:25:25,080 --> 01:25:27,679
Speaker 1: This is a bad sign me making really smart bets.

1901
01:25:28,040 --> 01:25:30,120
Speaker 3: Yeah, what, you've got a system.

1902
01:25:30,160 --> 01:25:33,360
Speaker 2: That's why I play. I haven't gambled in years and

1903
01:25:33,400 --> 01:25:37,040
Speaker 2: they live here, which is crazy. But no, I'm genuinely serious.

1904
01:25:37,439 --> 01:25:41,000
Speaker 2: Something's off, Something is genuinely off.

1905
01:25:41,120 --> 01:25:43,160
Speaker 10: So I don't know sorry, Well, I don't have the

1906
01:25:43,200 --> 01:25:46,559
Speaker 10: perspective with cees. But I gotta say, I don't know

1907
01:25:46,560 --> 01:25:48,800
Speaker 10: how many of the talks and panels you guys went to,

1908
01:25:48,920 --> 01:25:49,840
Speaker 10: but I spent a good mont.

1909
01:25:49,880 --> 01:25:50,360
Speaker 2: You see.

1910
01:25:50,720 --> 01:25:53,679
Speaker 10: Oh I went to the ARIA and the main through

1911
01:25:53,680 --> 01:25:55,639
Speaker 10: line that I thought was a little odd because there's

1912
01:25:55,640 --> 01:26:00,280
Speaker 10: definitely execs doing doing the lines, playing the hits. You know,

1913
01:26:00,840 --> 01:26:03,280
Speaker 10: use AI now or your job is in jeopardy, and

1914
01:26:03,479 --> 01:26:06,000
Speaker 10: you know, I know of companies where one hundred percent

1915
01:26:06,000 --> 01:26:08,080
Speaker 10: of the AI is written, one hundred percent of the

1916
01:26:08,080 --> 01:26:11,040
Speaker 10: code is written. Ryan, here's the And I've heard that

1917
01:26:11,080 --> 01:26:13,479
Speaker 10: stuff for years, so it's a little bit like this

1918
01:26:13,560 --> 01:26:15,479
Speaker 10: is the same, Like we're still doing this, but there's

1919
01:26:15,520 --> 01:26:18,520
Speaker 10: like these little glimmers of things that make me go huh.

1920
01:26:18,560 --> 01:26:21,920
Speaker 10: Like the word incremental showed up in like three different

1921
01:26:21,960 --> 01:26:24,599
Speaker 10: talks where it's just like, what what does the next

1922
01:26:24,640 --> 01:26:26,559
Speaker 10: year mean to you? And it's like incremental. You need

1923
01:26:26,600 --> 01:26:29,400
Speaker 10: to you need to be going to your customers that

1924
01:26:29,439 --> 01:26:32,320
Speaker 10: are using these tools, you know, in advertising and asking

1925
01:26:32,360 --> 01:26:36,880
Speaker 10: for incremental gains. And I'm like, not revolutionary gains, not

1926
01:26:37,200 --> 01:26:41,320
Speaker 10: little barn burners going from here to here. There was

1927
01:26:41,320 --> 01:26:43,240
Speaker 10: a there was a talk that with the one of

1928
01:26:43,280 --> 01:26:45,639
Speaker 10: the guys who runs this spinoff company from tell Us,

1929
01:26:45,680 --> 01:26:49,880
Speaker 10: which the Canadian telecommunications company right now, I think, and

1930
01:26:49,920 --> 01:26:51,840
Speaker 10: he's like, yeah, we saw one hundred two hundred and

1931
01:26:51,840 --> 01:26:54,920
Speaker 10: fifty million in savings, you know, using AI tools. And

1932
01:26:54,960 --> 01:26:57,280
Speaker 10: I'm like, all right, what's what's tell US's revenue? And

1933
01:26:57,280 --> 01:26:59,599
Speaker 10: that's like, you know, point zero four.

1934
01:26:59,560 --> 01:27:02,840
Speaker 2: Eight for I also, sure you did, Sure you fucking

1935
01:27:03,360 --> 01:27:06,479
Speaker 2: fucking anything else. I'm going to strap you to one

1936
01:27:06,479 --> 01:27:08,759
Speaker 2: of the fucking chairs from saw. I'm going to fucking

1937
01:27:09,120 --> 01:27:12,680
Speaker 2: handcuff you to an radiator, and I'm going to have

1938
01:27:12,760 --> 01:27:15,679
Speaker 2: Jigsaw extract from you how you save that money, because

1939
01:27:15,720 --> 01:27:17,679
Speaker 2: I bet you didn't save a fucking penny with large

1940
01:27:17,720 --> 01:27:22,640
Speaker 2: language models, You're lying, sack of shit. It's a specifics,

1941
01:27:23,040 --> 01:27:24,599
Speaker 2: get real incremental with a bone saw.

1942
01:27:24,720 --> 01:27:27,040
Speaker 9: And the big thing that you're seeing the shift here,

1943
01:27:27,280 --> 01:27:31,760
Speaker 9: I think, has been because there's not like previously the

1944
01:27:31,800 --> 01:27:34,920
Speaker 9: thing about this was about consumer electronics, and there's always

1945
01:27:34,960 --> 01:27:37,680
Speaker 9: been you know, software and apps and stuff, but it's

1946
01:27:37,680 --> 01:27:40,720
Speaker 9: been very focused on things that people will use, right,

1947
01:27:40,760 --> 01:27:42,200
Speaker 9: and that's what journals are here to report. And I

1948
01:27:42,280 --> 01:27:44,320
Speaker 9: was like, here is all these companies' vision of like

1949
01:27:44,360 --> 01:27:46,240
Speaker 9: what people want to buy and what they want to

1950
01:27:46,320 --> 01:27:47,760
Speaker 9: use and what will delight them and what will be

1951
01:27:47,840 --> 01:27:51,160
Speaker 9: useful to them, and a lot more of the emphasis

1952
01:27:51,200 --> 01:27:53,320
Speaker 9: since all this AI stuff has come to centralize it

1953
01:27:53,360 --> 01:27:55,960
Speaker 9: on is here is a product that will allow you

1954
01:27:56,000 --> 01:27:58,800
Speaker 9: to hurt a customer. Here is a product that will

1955
01:27:58,840 --> 01:28:02,680
Speaker 9: allow you to extract from people without priding really or

1956
01:28:02,720 --> 01:28:04,840
Speaker 9: while that you're sneaking into his service.

1957
01:28:04,880 --> 01:28:05,559
Speaker 2: There was a company.

1958
01:28:05,560 --> 01:28:07,280
Speaker 9: I went to their booth and got to walk through

1959
01:28:07,640 --> 01:28:12,439
Speaker 9: SoundHound AI. Oh fucking Soundundhound. Yeah, And their whole thing

1960
01:28:12,560 --> 01:28:15,120
Speaker 9: is we make agents. We make agents for companies. And

1961
01:28:15,160 --> 01:28:17,040
Speaker 9: one example they gave him. An agent was like they

1962
01:28:17,320 --> 01:28:21,080
Speaker 9: basically an AI doing the job of taking orders for

1963
01:28:21,120 --> 01:28:23,400
Speaker 9: burger king right and like taking down orders, and it

1964
01:28:23,439 --> 01:28:25,920
Speaker 9: also controlled the menu. And so the first thing that

1965
01:28:25,960 --> 01:28:28,519
Speaker 9: they showed the guy demoing it showed with someone being like,

1966
01:28:28,920 --> 01:28:31,000
Speaker 9: tell me what burgers are good, and while there was

1967
01:28:31,000 --> 01:28:32,400
Speaker 9: a menu up in front of them, instead of looking

1968
01:28:32,400 --> 01:28:35,080
Speaker 9: at the menu, asking it, and so it suggested a burger.

1969
01:28:35,400 --> 01:28:36,479
Speaker 2: And I was like, I.

1970
01:28:36,400 --> 01:28:38,559
Speaker 9: Don't think people will use it that way often. That's

1971
01:28:38,560 --> 01:28:39,640
Speaker 9: a weird thing for him to show. But then I

1972
01:28:39,720 --> 01:28:42,400
Speaker 9: understood why, because he was talking to this group of

1973
01:28:42,439 --> 01:28:44,880
Speaker 9: like three or four people, and he was talking to

1974
01:28:44,920 --> 01:28:49,240
Speaker 9: them about how and obviously, you know, Burger King feels like, Okay,

1975
01:28:49,280 --> 01:28:51,240
Speaker 9: we have this much stock that needs to get moved

1976
01:28:51,320 --> 01:28:54,080
Speaker 9: right now for whatever reason, because it's like close to expiring.

1977
01:28:54,320 --> 01:28:56,799
Speaker 9: We can make sure to like really push that to customers.

1978
01:28:56,880 --> 01:28:59,040
Speaker 9: Or if we want to sell more, you know, more

1979
01:28:59,040 --> 01:29:01,080
Speaker 9: whoppers with cheese, we can. We can push the walk,

1980
01:29:01,280 --> 01:29:03,120
Speaker 9: we can we can recommend that to people. We can

1981
01:29:03,160 --> 01:29:05,600
Speaker 9: even alter the menu if things are out, or if

1982
01:29:05,640 --> 01:29:08,280
Speaker 9: we really want to push certain items. And he said, like,

1983
01:29:08,360 --> 01:29:12,040
Speaker 9: for example, if Coke wants to really sell coke vanilla,

1984
01:29:12,080 --> 01:29:14,200
Speaker 9: we can start pushing large coke vanillas. You can push

1985
01:29:14,200 --> 01:29:17,160
Speaker 9: specific sizes. And I was wondering why they're talking about this,

1986
01:29:17,200 --> 01:29:19,479
Speaker 9: because again, people don't use it that way. And then

1987
01:29:19,479 --> 01:29:22,880
Speaker 9: they realized all of the gaggle of four people that

1988
01:29:22,960 --> 01:29:25,280
Speaker 9: the rep from Soft Town was talking to, I looked

1989
01:29:25,320 --> 01:29:28,800
Speaker 9: at their badges. They all worked for Coca Cola, and

1990
01:29:28,840 --> 01:29:31,559
Speaker 9: so this was a pitch up them. This is the

1991
01:29:31,600 --> 01:29:33,880
Speaker 9: future of ordering at fast food restaurants, and if you

1992
01:29:33,920 --> 01:29:37,160
Speaker 9: work with us, we won't push Coca Cola on customers.

1993
01:29:37,280 --> 01:29:39,760
Speaker 10: A lot of the marketing in this bubble. Like you know,

1994
01:29:39,840 --> 01:29:43,200
Speaker 10: like as a writer, I've spent years watching like creatives

1995
01:29:43,200 --> 01:29:45,519
Speaker 10: in Hollywood and games and stuff just feel like they're

1996
01:29:45,520 --> 01:29:48,240
Speaker 10: on the back foot because they're being threatened by.

1997
01:29:48,240 --> 01:29:48,880
Speaker 2: This marketing way.

1998
01:29:48,960 --> 01:29:51,439
Speaker 10: The marketing is not even aimed at them. When somebody

1999
01:29:51,439 --> 01:29:53,400
Speaker 10: says you have to learn this or else you're you're

2000
01:29:53,479 --> 01:29:55,439
Speaker 10: somebody is going to take your job, that's not actually

2001
01:29:55,479 --> 01:29:58,680
Speaker 10: aimed at that person. It's aimed at the investors. Yes, right,

2002
01:29:58,680 --> 01:30:00,880
Speaker 10: And that's one of the most inficant bullying, you know.

2003
01:30:01,320 --> 01:30:04,320
Speaker 2: But the funny thing is Soundham was a basically a

2004
01:30:04,360 --> 01:30:07,639
Speaker 2: Shazam competitor. But what's really good about that is Adam

2005
01:30:07,680 --> 01:30:09,840
Speaker 2: brought this up yesterday and it's like there is a

2006
01:30:09,880 --> 01:30:12,479
Speaker 2: famous tree where it's like every Gemini commercial is wat

2007
01:30:12,479 --> 01:30:14,720
Speaker 2: should I eat for dinner? And he goes sandwich and

2008
01:30:14,720 --> 01:30:17,639
Speaker 2: they got to holy shit, and it's literally that it's

2009
01:30:17,720 --> 01:30:22,120
Speaker 2: literally what what burger do I get? Burger? Holy fucking shit?

2010
01:30:22,320 --> 01:30:25,280
Speaker 2: That will be one hundred and fifty thousand dollars a month.

2011
01:30:25,360 --> 01:30:28,840
Speaker 9: And they showed their like their car AI program where

2012
01:30:28,840 --> 01:30:31,120
Speaker 9: you can build your own agents in your car, and

2013
01:30:31,160 --> 01:30:32,920
Speaker 9: he gave it these capabilities and the demo that he

2014
01:30:33,000 --> 01:30:36,679
Speaker 9: ran it on was Oh, my car's making this weird noise,

2015
01:30:37,080 --> 01:30:39,840
Speaker 9: and he described the noise and the chat bond the car.

2016
01:30:39,960 --> 01:30:42,879
Speaker 9: First said that sounds like it's this kind of problem.

2017
01:30:43,200 --> 01:30:46,000
Speaker 9: The average cost to prepare is seven hundred dollars. Do

2018
01:30:46,040 --> 01:30:47,720
Speaker 9: you want me to find a place for you to

2019
01:30:47,720 --> 01:30:50,920
Speaker 9: get your car repaired? Aliens, Yes, he said, I'll call

2020
01:30:51,000 --> 01:30:51,760
Speaker 9: the dealership.

2021
01:30:51,840 --> 01:30:52,400
Speaker 2: I've booked.

2022
01:30:52,600 --> 01:30:55,719
Speaker 9: I've booked a spot at the dealership while you're there.

2023
01:30:55,760 --> 01:30:58,120
Speaker 9: Do you want me to schedule a test drive and

2024
01:30:58,200 --> 01:31:02,400
Speaker 9: a new Nissan whatever car? Yes, my wife loves that car.

2025
01:31:02,920 --> 01:31:06,080
Speaker 9: And it was all about like, first off, nobody unless

2026
01:31:06,120 --> 01:31:08,639
Speaker 9: you're I guess, I'm sure there are like rich people

2027
01:31:08,720 --> 01:31:11,200
Speaker 9: one they here, Oh, problem, I'll take it to the

2028
01:31:11,200 --> 01:31:14,599
Speaker 9: dealership and pay whatever it costs. Most people are like, okay, well,

2029
01:31:14,640 --> 01:31:16,400
Speaker 9: I've got a guy who didn't rip me off too

2030
01:31:16,400 --> 01:31:18,280
Speaker 9: bad before. I'm gonna see if he can diagnose it.

2031
01:31:18,320 --> 01:31:20,840
Speaker 9: And like, can I but my gym straight to the

2032
01:31:20,840 --> 01:31:23,800
Speaker 9: dealer seven hundred dollars? Okay nothing, and like yeah, I'll

2033
01:31:23,800 --> 01:31:25,640
Speaker 9: take a test drive. I'm always in the market for

2034
01:31:25,640 --> 01:31:27,639
Speaker 9: a brand new car, like yeah, it's just like it's

2035
01:31:27,720 --> 01:31:32,080
Speaker 9: just it's all predatory for the person driving the car.

2036
01:31:32,200 --> 01:31:35,000
Speaker 9: It's all because everything that got the engineer excited, the

2037
01:31:35,040 --> 01:31:36,960
Speaker 9: only stuff you wanted to talk about was and here's

2038
01:31:36,960 --> 01:31:38,559
Speaker 9: another place where I'll try to sell you something.

2039
01:31:38,880 --> 01:31:41,080
Speaker 2: That's that was it for the AI. The thing is,

2040
01:31:41,240 --> 01:31:45,040
Speaker 2: it's like I think the tech industry has become guys

2041
01:31:45,080 --> 01:31:47,760
Speaker 2: selling stuff the guys that will not use it. It's

2042
01:31:47,800 --> 01:31:49,599
Speaker 2: just companies selling things to companies.

2043
01:31:49,760 --> 01:31:50,160
Speaker 1: Numbers.

2044
01:31:50,200 --> 01:31:53,040
Speaker 2: You don't need numbers. You don't need to raise numbers

2045
01:31:53,080 --> 01:31:54,080
Speaker 2: to do money. Yeah.

2046
01:31:54,120 --> 01:31:56,080
Speaker 9: Well and that, Yeah, that's the because one of two

2047
01:31:56,120 --> 01:31:58,200
Speaker 9: things will be true. Either all of these AI agents

2048
01:31:58,240 --> 01:32:01,320
Speaker 9: being integrated into these projects will drive of sales significantly,

2049
01:32:01,400 --> 01:32:03,519
Speaker 9: and that will be the new thing advertisers fight over.

2050
01:32:03,680 --> 01:32:06,200
Speaker 9: And I'm not I'm not in love with that future.

2051
01:32:06,760 --> 01:32:08,559
Speaker 9: That said, it'll probably were better than banner ads.

2052
01:32:08,680 --> 01:32:11,439
Speaker 2: We don't think it'll work as I don't think it's good.

2053
01:32:11,720 --> 01:32:13,559
Speaker 9: It'll work for a while, at least until they get

2054
01:32:13,640 --> 01:32:14,439
Speaker 9: data on whether or.

2055
01:32:14,439 --> 01:32:18,000
Speaker 2: Not audit drives open. Aye tried to integrate shopping things.

2056
01:32:18,000 --> 01:32:19,280
Speaker 2: We're just going to get onto that. But we're coming

2057
01:32:19,320 --> 01:32:22,600
Speaker 2: to the rotation points. We're going to start rotating owls.

2058
01:32:22,680 --> 01:32:25,000
Speaker 2: We're going to move on to the final section, and

2059
01:32:25,080 --> 01:32:29,479
Speaker 2: I must say this upcoming AT, I don't I.

2060
01:32:29,400 --> 01:32:33,439
Speaker 9: Don't know what we're doing under your under your.

2061
01:32:33,560 --> 01:32:38,920
Speaker 2: I appreciate that it's now a flawless transition. Upcoming AT

2062
01:32:39,080 --> 01:32:41,920
Speaker 2: is probably for a podcast or some product or some ship,

2063
01:32:42,000 --> 01:32:44,559
Speaker 2: but I need you to click it or listen to

2064
01:32:44,640 --> 01:32:47,280
Speaker 2: whatever the fuck you do. I've never I've never heard

2065
01:32:47,360 --> 01:32:49,479
Speaker 2: the ads. I don't know what they are. If you

2066
01:32:49,520 --> 01:33:04,200
Speaker 2: complain about the ads, please help me. Diane. I'm once

2067
01:33:04,240 --> 01:33:07,160
Speaker 2: again in front of a microphone inside the Palazzo Hotel

2068
01:33:07,200 --> 01:33:10,559
Speaker 2: in Las Vegas, Nevada, and everybody's staring at me because

2069
01:33:10,560 --> 01:33:13,360
Speaker 2: they keep saying strange things into the microphone. I'm on

2070
01:33:13,400 --> 01:33:16,040
Speaker 2: my eighteenth died coke and feeling more alive than I've

2071
01:33:16,080 --> 01:33:19,040
Speaker 2: ever been. Joining me is actress and stand up comedian

2072
01:33:19,160 --> 01:33:22,360
Speaker 2: Chlorie Radcliffe for Sadly, our final episode with her.

2073
01:33:22,520 --> 01:33:25,639
Speaker 1: Wow, this is it. We've come so far.

2074
01:33:25,960 --> 01:33:28,240
Speaker 2: Honestly, the listeners fucking love you and I need to

2075
01:33:28,240 --> 01:33:29,839
Speaker 2: bring you back, so they're going to be pissed.

2076
01:33:30,880 --> 01:33:32,519
Speaker 1: I'll come back anytime you are.

2077
01:33:32,640 --> 01:33:35,559
Speaker 2: And to your left is another person who I need,

2078
01:33:35,640 --> 01:33:38,479
Speaker 2: Rob Peggerarro, the tech reporter who has been around for

2079
01:33:38,920 --> 01:33:40,120
Speaker 2: a why nineteen.

2080
01:33:39,880 --> 01:33:43,240
Speaker 3: Ninety eight was when you start, It's been a minute, Yes, genuinely.

2081
01:33:43,320 --> 01:33:46,920
Speaker 2: Multiple people have emailed him, both being like we love you,

2082
01:33:46,960 --> 01:33:50,640
Speaker 2: and then one slightly horny person one slight it was

2083
01:33:50,680 --> 01:33:53,720
Speaker 2: like Rob Pegerarro SMR. And then to your left is

2084
01:33:54,400 --> 01:33:57,799
Speaker 2: Robert Evans of Behind the Bastards and who.

2085
01:33:57,640 --> 01:33:59,720
Speaker 9: I have heard two of our names in the room

2086
01:33:59,800 --> 01:33:59,960
Speaker 9: right now.

2087
01:34:00,200 --> 01:34:04,520
Speaker 2: So many horny things I've like, no, I mean quite literally,

2088
01:34:05,479 --> 01:34:09,080
Speaker 2: I'm so sorry. But and then okay, we'll just move

2089
01:34:09,120 --> 01:34:10,720
Speaker 2: on Robert Evans behind Bustard my.

2090
01:34:10,680 --> 01:34:12,840
Speaker 1: Bid, but me, anybody's anything horny about me? I got

2091
01:34:12,880 --> 01:34:13,840
Speaker 1: an olive in my mouth.

2092
01:34:16,080 --> 01:34:18,000
Speaker 2: You're going to get it. Yeah. I actually have just

2093
01:34:18,040 --> 01:34:22,719
Speaker 2: describing this. Chloe just has an entire like one big

2094
01:34:22,760 --> 01:34:23,920
Speaker 2: SPI and I said to.

2095
01:34:23,960 --> 01:34:24,920
Speaker 3: Phil, that's pretty good.

2096
01:34:24,960 --> 01:34:27,120
Speaker 9: It's just there's a Greek man sitting in a room

2097
01:34:27,160 --> 01:34:29,479
Speaker 9: that's nothing but jars of olives, going like, all.

2098
01:34:29,479 --> 01:34:36,479
Speaker 2: Right, finally, finally podcasts do this. That's yeah, that was terrible.

2099
01:34:36,960 --> 01:34:37,920
Speaker 2: I have not done any Greek.

2100
01:34:38,080 --> 01:34:39,120
Speaker 1: Do you want to try that one again?

2101
01:34:39,320 --> 01:34:43,000
Speaker 2: I know my brain is like I don't know what Greek? No,

2102
01:34:43,080 --> 01:34:45,000
Speaker 2: I can't, I truly don't.

2103
01:34:44,760 --> 01:34:47,960
Speaker 1: Know, Like is Greek an accent that white people can.

2104
01:34:47,840 --> 01:34:53,240
Speaker 2: Do white people in Greek all the time. They're white Greeks. Okay,

2105
01:34:53,280 --> 01:34:54,439
Speaker 2: well let's move on from that one.

2106
01:34:54,720 --> 01:34:57,840
Speaker 8: A fun bit I I one of my favorite bits,

2107
01:34:57,880 --> 01:34:59,920
Speaker 8: one of my first bits I got Europeans really man.

2108
01:35:00,240 --> 01:35:03,680
Speaker 8: I read this article that was arguing that okay, like

2109
01:35:03,760 --> 01:35:06,320
Speaker 8: Greeks got inducted into whiteness at the end of World

2110
01:35:06,360 --> 01:35:09,000
Speaker 8: War two, and I shared it and the person I

2111
01:35:09,080 --> 01:35:12,360
Speaker 8: got a bunch of Germans really hated me sharing this article.

2112
01:35:12,400 --> 01:35:13,920
Speaker 8: This was around the time they were trying to make

2113
01:35:13,960 --> 01:35:15,400
Speaker 8: them pay for their back too.

2114
01:35:17,439 --> 01:35:21,160
Speaker 2: Yeah. Yeah, that is Edward on Groiso Junior, the writer

2115
01:35:21,240 --> 01:35:24,840
Speaker 2: of the Tech Bubble newsletter and classic staple of the

2116
01:35:24,840 --> 01:35:27,639
Speaker 2: Better Offline Experience. We were just talking about white people

2117
01:35:27,640 --> 01:35:28,640
Speaker 2: do ces, and I know.

2118
01:35:28,760 --> 01:35:31,080
Speaker 1: I see you about why people do racist.

2119
01:35:30,800 --> 01:35:33,479
Speaker 2: Accidents white people do.

2120
01:35:33,720 --> 01:35:34,639
Speaker 1: They're very fun.

2121
01:35:36,200 --> 01:35:38,360
Speaker 2: That's a joke. She is doing a bit. We are

2122
01:35:38,400 --> 01:35:41,320
Speaker 2: doing banks with Bandmaxing. No, we were just talking about

2123
01:35:41,320 --> 01:35:44,080
Speaker 2: why people do ces. And I've said earlier it's like, Okay,

2124
01:35:44,680 --> 01:35:47,040
Speaker 2: people do these shows because it's an excuse to get

2125
01:35:47,040 --> 01:35:50,519
Speaker 2: people together. That's completely true. I also think that there

2126
01:35:50,560 --> 01:35:53,400
Speaker 2: is something kind of magical about ces because you get

2127
01:35:53,720 --> 01:35:55,840
Speaker 2: like people just people happen to be here, and if

2128
01:35:55,880 --> 01:35:57,560
Speaker 2: you take it for what it is, which is a

2129
01:35:57,600 --> 01:35:59,920
Speaker 2: convention center full of bullshit, you can see people like

2130
01:36:00,400 --> 01:36:03,360
Speaker 2: everyone's room. I'm really happy to see like everyone. Everyone

2131
01:36:03,400 --> 01:36:05,360
Speaker 2: is in different places. Some of them are like Chloe,

2132
01:36:05,400 --> 01:36:07,679
Speaker 2: you're in New York, so I see a decent amount

2133
01:36:07,640 --> 01:36:10,080
Speaker 2: of rob You're in DC, and Ed, I see you.

2134
01:36:10,120 --> 01:36:12,599
Speaker 2: But like people get busy in Roberts in Portland. It's like,

2135
01:36:12,800 --> 01:36:14,840
Speaker 2: it's nice to get people together. And yeah, the more

2136
01:36:14,840 --> 01:36:17,639
Speaker 2: you suffer, the funny is to talk about it. And also,

2137
01:36:18,800 --> 01:36:21,639
Speaker 2: I don't know, this podcast fucking rocks, and it's kind

2138
01:36:21,680 --> 01:36:23,960
Speaker 2: of fun to do something weird and different every year.

2139
01:36:26,040 --> 01:36:27,720
Speaker 2: I wish there was more on the floor to be

2140
01:36:27,800 --> 01:36:30,920
Speaker 2: excited about, though, Ed, what have you been up to today?

2141
01:36:31,280 --> 01:36:32,640
Speaker 2: We haven't heard much from you.

2142
01:36:33,640 --> 01:36:36,320
Speaker 8: Well, funnily enough, I found that there's this AI voice

2143
01:36:36,320 --> 01:36:39,240
Speaker 8: emphasized that they let you do any accent that you wanted

2144
01:36:39,280 --> 01:36:44,200
Speaker 8: to do, And I was on the floor some of

2145
01:36:44,280 --> 01:36:46,520
Speaker 8: the worst you wasn't good, and it was really.

2146
01:36:48,920 --> 01:36:50,040
Speaker 2: Was good at anything.

2147
01:36:51,439 --> 01:36:53,040
Speaker 3: Yeah, No, I wish you know.

2148
01:36:54,080 --> 01:36:59,679
Speaker 1: Because you're like, I'm not the one, Yeah, Robot, I'm.

2149
01:37:01,720 --> 01:37:03,479
Speaker 3: No to be clear, this is not real.

2150
01:37:03,560 --> 01:37:06,720
Speaker 1: This is just me really yeah, yeah, this is man

2151
01:37:08,040 --> 01:37:09,160
Speaker 1: cauld you imagine, but.

2152
01:37:09,640 --> 01:37:15,120
Speaker 2: That sounds like prostes. There would just be a line

2153
01:37:15,120 --> 01:37:18,280
Speaker 2: out the door of guys just being like guys with podcasts,

2154
01:37:18,360 --> 01:37:22,280
Speaker 2: guys with racist podcasts. WHOA, Finally I'm gonna take our jobs,

2155
01:37:22,320 --> 01:37:25,840
Speaker 2: like yeah, woke is not back, yeah, because I'm not

2156
01:37:26,080 --> 01:37:30,880
Speaker 2: what that's right now? Woke to c yes is gonna

2157
01:37:30,880 --> 01:37:34,639
Speaker 2: be fucking great. We were talking about the gender reassignment section.

2158
01:37:35,120 --> 01:37:38,360
Speaker 2: It's gonna be fucking great. It's gonna be illegal to

2159
01:37:38,400 --> 01:37:40,040
Speaker 2: be white for one part of the convention, so that

2160
01:37:40,080 --> 01:37:41,040
Speaker 2: it's gonna be fucking great.

2161
01:37:41,080 --> 01:37:42,920
Speaker 3: I cannot wait gott to open every day with the

2162
01:37:43,000 --> 01:37:43,599
Speaker 3: land acknowledge.

2163
01:37:43,720 --> 01:37:48,400
Speaker 2: Yeah exactly, Oh no, a brand acknowledgement, but just for

2164
01:37:48,520 --> 01:37:50,360
Speaker 2: like were brands like.

2165
01:37:54,920 --> 01:37:58,920
Speaker 9: Yeah, in ages past, black Bear or I AM would

2166
01:37:59,320 --> 01:38:00,639
Speaker 9: operate this booth, but.

2167
01:38:01,280 --> 01:38:03,559
Speaker 2: At times Tanis would have been here, but they were.

2168
01:38:06,080 --> 01:38:08,280
Speaker 2: I do like the Elizabeth Holmes is now doing like

2169
01:38:08,360 --> 01:38:11,840
Speaker 2: epic epic posting where it's just like from jail, what

2170
01:38:11,920 --> 01:38:17,880
Speaker 2: the posting from jail and beab like illegally, illegally canceled

2171
01:38:18,000 --> 01:38:19,120
Speaker 2: for doing fraud.

2172
01:38:19,320 --> 01:38:22,479
Speaker 8: Actually you know my My greatest fear about going to

2173
01:38:22,560 --> 01:38:24,519
Speaker 8: jail was not being able to tweet. But you know

2174
01:38:24,680 --> 01:38:27,760
Speaker 8: this is this is yeah, Now I don't have to

2175
01:38:27,760 --> 01:38:28,320
Speaker 8: be afraid of it.

2176
01:38:28,439 --> 01:38:30,479
Speaker 2: Yeah, you are a person where I post, that's just

2177
01:38:30,600 --> 01:38:33,000
Speaker 2: me at home, right exactly exactly.

2178
01:38:33,120 --> 01:38:35,280
Speaker 9: You can launch your own version of fair Noose, which

2179
01:38:35,320 --> 01:38:38,240
Speaker 9: is just people mailing you blood and you being like Lucia.

2180
01:38:38,200 --> 01:38:43,240
Speaker 8: I'm gonna I'm gonna be the first UH person in

2181
01:38:43,320 --> 01:38:46,400
Speaker 8: prison to have a fundraising round on going. Okay, they're

2182
01:38:46,400 --> 01:38:48,719
Speaker 8: gonna be clamoring for the I don't know what it'll

2183
01:38:49,080 --> 01:38:52,679
Speaker 8: maybe it'll be for I do like an potempkin Ai

2184
01:38:52,920 --> 01:38:57,080
Speaker 8: thing that's just like other prisoners and they're pretending to.

2185
01:38:55,600 --> 01:39:00,840
Speaker 1: Be the Martin Luther King's from Birmingham. Jim re Ducks

2186
01:39:00,960 --> 01:39:02,519
Speaker 1: is like asking for VC, but.

2187
01:39:02,880 --> 01:39:06,760
Speaker 8: It's just just beware of the credits and tells you

2188
01:39:06,800 --> 01:39:08,160
Speaker 8: that you can't have a VC.

2189
01:39:08,080 --> 01:39:13,120
Speaker 2: Fund in prison. Chapter two begins as a chat. But

2190
01:39:13,320 --> 01:39:19,880
Speaker 2: I need to reach you this Elizabeth Holmes tweet from

2191
01:39:20,360 --> 01:39:23,719
Speaker 2: twelve thirty one, twenty five. So New Year's Eve prisons

2192
01:39:23,720 --> 01:39:27,240
Speaker 2: are meant to rehabilitate prisoners and break crime cycles. Instead, Comma,

2193
01:39:27,320 --> 01:39:30,280
Speaker 2: they shatter families and make better criminals. It won't break

2194
01:39:30,320 --> 01:39:34,280
Speaker 2: me on mine, but watching it happen daily is heartbreaking. Honestly,

2195
01:39:34,560 --> 01:39:38,479
Speaker 2: she this fucking rocks. I'm just sorry if you're gonna

2196
01:39:38,479 --> 01:39:40,880
Speaker 2: post some prison just being like, I'm not fucking guilty

2197
01:39:40,920 --> 01:39:42,960
Speaker 2: of the fraud I obviously did. Fuck you.

2198
01:39:43,120 --> 01:39:44,760
Speaker 3: Yeah, fuck yeah, let's just go for it.

2199
01:39:44,960 --> 01:39:47,479
Speaker 9: Like I interpreted that differently. I thought she was saying

2200
01:39:48,080 --> 01:39:51,479
Speaker 9: prison is meant to like it like breaks people and

2201
01:39:51,720 --> 01:39:54,080
Speaker 9: makes them into better and makes them into better criminals.

2202
01:39:54,120 --> 01:39:56,040
Speaker 9: That's not gonna happen to me. I'm gonna stay a

2203
01:39:56,120 --> 01:39:56,680
Speaker 9: shitty cri.

2204
01:40:01,439 --> 01:40:03,680
Speaker 2: If you only knew my real story is so much

2205
01:40:03,680 --> 01:40:05,639
Speaker 2: more interesting than the one you have been told. Coming

2206
01:40:05,680 --> 01:40:08,800
Speaker 2: soon in twenty twenty six, and that is seven ellipses,

2207
01:40:09,240 --> 01:40:11,400
Speaker 2: nothing hidden, nothing left out. The time for the truth

2208
01:40:11,400 --> 01:40:14,559
Speaker 2: has come. No one can hide from the light. Woman,

2209
01:40:14,680 --> 01:40:19,280
Speaker 2: you did actual fraud. I'm ready for I want to know,

2210
01:40:19,479 --> 01:40:22,280
Speaker 2: Elizabeth Holmes, you are invited on Better Offline?

2211
01:40:22,880 --> 01:40:28,120
Speaker 1: Question? Did are there other people who? Are there men

2212
01:40:28,200 --> 01:40:31,800
Speaker 1: who have committed fraud as harmful as the fraud that

2213
01:40:31,840 --> 01:40:33,559
Speaker 1: Elizabeth Holmes committed? I'm not denying.

2214
01:40:34,640 --> 01:40:36,880
Speaker 9: Yeah, well, I mean they made off the guy the

2215
01:40:36,920 --> 01:40:38,320
Speaker 9: end rock, but they.

2216
01:40:38,200 --> 01:40:40,760
Speaker 2: Didn't get culturally crucified in the same way.

2217
01:40:40,960 --> 01:40:43,640
Speaker 1: Right, they have been imprisoned.

2218
01:40:43,800 --> 01:40:44,720
Speaker 2: They have been imprisoned.

2219
01:40:44,800 --> 01:40:47,200
Speaker 9: Shcreley is the closest to getting that level of like

2220
01:40:47,880 --> 01:40:50,800
Speaker 9: early variety. But it also worked out for him a

2221
01:40:50,800 --> 01:40:53,760
Speaker 9: lot better than her. Yeah, yeah, yeah, he built a

2222
01:40:53,800 --> 01:40:55,400
Speaker 9: little bit of a weird brand on it.

2223
01:40:55,479 --> 01:40:57,879
Speaker 1: Yeah. I think he's in DJ now, are right?

2224
01:40:58,040 --> 01:41:01,800
Speaker 9: Really that's less slept with them too, which was weird

2225
01:41:01,880 --> 01:41:03,040
Speaker 9: DJ allegations.

2226
01:41:04,120 --> 01:41:07,679
Speaker 2: Yeah, there's a Bloomberg to ruin her life for Charlie. Yeah,

2227
01:41:08,840 --> 01:41:10,599
Speaker 2: he's had a weird post prison run.

2228
01:41:11,800 --> 01:41:15,840
Speaker 1: Are there are there people who have committed fraud at

2229
01:41:15,880 --> 01:41:19,040
Speaker 1: a at a harmful level, at a like meaningfully harmful level,

2230
01:41:19,040 --> 01:41:21,960
Speaker 1: who have not been who have not gone to prison?

2231
01:41:22,520 --> 01:41:25,240
Speaker 2: I mean from DC?

2232
01:41:25,360 --> 01:41:26,040
Speaker 3: Where do I start?

2233
01:41:26,160 --> 01:41:32,639
Speaker 1: Yeah, well, I mean specifically in startups.

2234
01:41:32,000 --> 01:41:34,280
Speaker 2: Clinicle, not Clinkle.

2235
01:41:34,120 --> 01:41:36,920
Speaker 9: This same way where they are literally starting a company

2236
01:41:36,920 --> 01:41:39,000
Speaker 9: on completely false pretenses and raising v.

2237
01:41:39,280 --> 01:41:42,960
Speaker 2: I actually disagreed Clinkle. Clinkle was this one where you

2238
01:41:43,000 --> 01:41:46,680
Speaker 2: could Clinkle raised maybe a little bit less, but they

2239
01:41:46,680 --> 01:41:48,800
Speaker 2: were just this prominent. They were also on the cover

2240
01:41:48,840 --> 01:41:52,719
Speaker 2: of Forbes. They were also for some reason, is Clink

2241
01:41:53,240 --> 01:41:59,560
Speaker 2: sound based payment things obviously fraudulent. I mean sound based, sounds.

2242
01:41:59,360 --> 01:42:03,760
Speaker 1: Like you have money in your pocket, then that means

2243
01:42:03,840 --> 01:42:04,479
Speaker 1: we've paid you.

2244
01:42:04,680 --> 01:42:07,320
Speaker 2: He was a very damp looking white boys, so I

2245
01:42:07,720 --> 01:42:10,759
Speaker 2: know it was a company where you could transfer money

2246
01:42:10,760 --> 01:42:13,479
Speaker 2: with like hypersonic. It was bullshit. But that's the thing,

2247
01:42:13,600 --> 01:42:16,880
Speaker 2: like that that fuck with didn't go to prison. None

2248
01:42:16,920 --> 01:42:19,960
Speaker 2: of the Web three people who never did anything, not

2249
01:42:20,040 --> 01:42:22,960
Speaker 2: fucking doodles n FT which ended up backing off NFTs,

2250
01:42:22,960 --> 01:42:26,200
Speaker 2: that alex Ahonian, who is a fucking asshole who should

2251
01:42:26,200 --> 01:42:29,680
Speaker 2: be crucified for his role in the racism and sexism

2252
01:42:29,680 --> 01:42:32,000
Speaker 2: of Reddit. Let alone the amount of Web three bullshit

2253
01:42:33,080 --> 01:42:36,360
Speaker 2: up a fucking hill. Putting that aside, he like nothing

2254
01:42:36,360 --> 01:42:37,960
Speaker 2: happened to all the Web three people who did a

2255
01:42:37,960 --> 01:42:41,200
Speaker 2: bunch of criminal ship, like all of the blatant money line.

2256
01:42:41,240 --> 01:42:44,679
Speaker 2: And the question is fucking what is this cz from?

2257
01:42:46,280 --> 01:42:51,640
Speaker 2: And he got part's Adam Newman already got fucking three

2258
01:42:51,720 --> 01:42:55,240
Speaker 2: hundred million dollars from from Marc Andresen.

2259
01:42:55,920 --> 01:42:59,360
Speaker 9: Because there's there's two differences, and we can debate which

2260
01:42:59,360 --> 01:43:03,000
Speaker 9: of them is more relevant in her getting penalized much

2261
01:43:03,000 --> 01:43:05,200
Speaker 9: more than a lot of other people who did similar things.

2262
01:43:05,200 --> 01:43:07,280
Speaker 9: But like one issue is a woman, but the other

2263
01:43:07,400 --> 01:43:11,360
Speaker 9: is it was a health company. People like it was

2264
01:43:11,400 --> 01:43:13,200
Speaker 9: also cancer is actually fraud.

2265
01:43:13,680 --> 01:43:16,759
Speaker 2: It was actually fraught fraud. It was like serious medical fraud.

2266
01:43:16,840 --> 01:43:20,800
Speaker 2: He also didn't do anything close we work was just

2267
01:43:20,840 --> 01:43:22,160
Speaker 2: a terrible business.

2268
01:43:22,360 --> 01:43:24,600
Speaker 1: And that's why I'm asking, like, who harmed people to

2269
01:43:24,720 --> 01:43:26,400
Speaker 1: the same degree that wasn't well.

2270
01:43:26,600 --> 01:43:29,559
Speaker 2: Actually the question with Theano says, I actually, like I know,

2271
01:43:29,720 --> 01:43:31,360
Speaker 2: like people had actually diet was very bad.

2272
01:43:31,439 --> 01:43:33,680
Speaker 9: Just being clear, I had fucking mortgage backed securities.

2273
01:43:33,760 --> 01:43:36,320
Speaker 2: Are a man, and that hurt a lot of people.

2274
01:43:36,520 --> 01:43:40,160
Speaker 2: FTX did a lot more damage specifically in Yeah, yeah,

2275
01:43:40,200 --> 01:43:42,400
Speaker 2: oh no, everyone involved with a great financial crisis, everyon

2276
01:43:42,400 --> 01:43:44,200
Speaker 2: who bet on this, And I'm gonna be fucking honest,

2277
01:43:44,240 --> 01:43:47,080
Speaker 2: I'm going to say this, every single company that invested

2278
01:43:47,080 --> 01:43:48,760
Speaker 2: in data centers that is going to lead to the

2279
01:43:48,800 --> 01:43:52,639
Speaker 2: financial collapse that follows is worse than thernose. Every single

2280
01:43:52,760 --> 01:43:55,400
Speaker 2: person who pushed open up or hill is worse than

2281
01:43:55,400 --> 01:43:58,080
Speaker 2: thearahnose for what's coming. Yeah, yeah, I'm fucking going for it.

2282
01:43:58,160 --> 01:44:02,639
Speaker 2: I'm crazy, but yeah, and they will crucify Sam Altman

2283
01:44:03,160 --> 01:44:06,120
Speaker 2: if what I think is happening over there is happening

2284
01:44:06,120 --> 01:44:08,479
Speaker 2: where they're misleading investors, which is my personal belief and

2285
01:44:08,520 --> 01:44:12,240
Speaker 2: not those of the iHeart Radio Corporation. If that is true,

2286
01:44:13,080 --> 01:44:15,960
Speaker 2: Sam Mormons should go to jail if it's true, which

2287
01:44:16,000 --> 01:44:19,000
Speaker 2: we do not know. If it is, he probably won't

2288
01:44:19,320 --> 01:44:21,559
Speaker 2: because like if he's a white when he absolutely would,

2289
01:44:21,560 --> 01:44:22,960
Speaker 2: but would he have been able to raise the money?

2290
01:44:22,960 --> 01:44:23,559
Speaker 2: Would they do in this?

2291
01:44:24,320 --> 01:44:26,520
Speaker 3: It's but Elizabeth.

2292
01:44:26,040 --> 01:44:28,400
Speaker 2: Holmes was like an actual criminal, Like we can't, We're

2293
01:44:28,400 --> 01:44:31,640
Speaker 2: not gonna whitewash this. She was an actual criminal who

2294
01:44:31,720 --> 01:44:34,599
Speaker 2: like talk with the deep Steve jobsys, which I think

2295
01:44:34,640 --> 01:44:35,360
Speaker 2: is a funny thing.

2296
01:44:35,800 --> 01:44:39,160
Speaker 1: The voice thing, Okay, I will say.

2297
01:44:39,000 --> 01:44:41,120
Speaker 3: This my eternal neck, the whole the whole bit.

2298
01:44:42,040 --> 01:44:47,240
Speaker 1: I that is where I think sexism is coloring the

2299
01:44:47,400 --> 01:44:51,639
Speaker 1: entire interpretation, because truly, when I speak in a lower voice,

2300
01:44:51,680 --> 01:44:54,240
Speaker 1: I get treated differently. And when I speaking of and

2301
01:44:54,280 --> 01:44:56,599
Speaker 1: like that. You listen to women who speak in baby voices,

2302
01:44:56,800 --> 01:44:59,800
Speaker 1: and we don't say it's fucked up that women speaking

2303
01:44:59,800 --> 01:45:01,680
Speaker 1: baby voices, and you run into these women all the

2304
01:45:01,680 --> 01:45:03,960
Speaker 1: fucking time, and that's not their natural voice, that's not

2305
01:45:04,000 --> 01:45:06,600
Speaker 1: that voice that if they were just left grew up

2306
01:45:06,600 --> 01:45:08,360
Speaker 1: in the woods, that they would be speaking with that's

2307
01:45:08,360 --> 01:45:10,800
Speaker 1: a performed voice that they that's an identity that they have.

2308
01:45:10,920 --> 01:45:13,760
Speaker 2: Sorry, we've got no I won a way thing about this.

2309
01:45:13,840 --> 01:45:18,559
Speaker 1: But like, how women are perceived in society is our

2310
01:45:18,680 --> 01:45:20,599
Speaker 1: voices are a huge part of it, as as they

2311
01:45:20,600 --> 01:45:22,840
Speaker 1: are with men. Think of gay men who sound gayer

2312
01:45:23,320 --> 01:45:25,680
Speaker 1: like they get treated differently, right, Like, all of that

2313
01:45:25,960 --> 01:45:30,320
Speaker 1: is is part of our performance of power in society,

2314
01:45:30,360 --> 01:45:33,479
Speaker 1: or our performance of how power and gender are together

2315
01:45:33,520 --> 01:45:36,840
Speaker 1: in society. And so then I do think and like,

2316
01:45:36,880 --> 01:45:39,719
Speaker 1: her voice sounds insane. It sounds insane, but I also

2317
01:45:39,760 --> 01:45:44,599
Speaker 1: am like that one I fully fun drive.

2318
01:45:45,040 --> 01:45:47,479
Speaker 2: Can you tell me more about have you had like

2319
01:45:47,479 --> 01:45:50,080
Speaker 2: as a woman, have you had to lower your voice?

2320
01:45:50,080 --> 01:45:51,600
Speaker 2: And name what scenarios if you had.

2321
01:45:51,880 --> 01:45:54,559
Speaker 1: I have a very low voice, right, I just like

2322
01:45:54,600 --> 01:45:58,799
Speaker 1: speak in a very low voice naturally, right. So I

2323
01:45:58,880 --> 01:46:03,439
Speaker 1: it's more that I think the inverse is a much

2324
01:46:03,479 --> 01:46:09,120
Speaker 1: more common experience where women women baby like tucking baby voices,

2325
01:46:09,720 --> 01:46:12,200
Speaker 1: and that is a that is like a relinquishing of power,

2326
01:46:12,240 --> 01:46:15,760
Speaker 1: and that is a submissive stance. And for me, it's like, yeah,

2327
01:46:15,760 --> 01:46:19,000
Speaker 1: if I talk, if I speak to somebody on the

2328
01:46:19,000 --> 01:46:20,799
Speaker 1: street or in public, if I'm speaking to a stranger,

2329
01:46:20,800 --> 01:46:22,840
Speaker 1: and I'm like, yo, if I talk at that level,

2330
01:46:23,240 --> 01:46:25,679
Speaker 1: like people people turn expecting a man.

2331
01:46:26,320 --> 01:46:30,240
Speaker 2: Right and to treat And then this is an actual

2332
01:46:30,280 --> 01:46:34,080
Speaker 2: thirty Europe joke with that I'm a very sexy baby. Yeah,

2333
01:46:35,160 --> 01:46:37,559
Speaker 2: the manipulation through No, it's just I mean, I'm a

2334
01:46:37,640 --> 01:46:39,400
Speaker 2: fucking white guy, like what a wife fucking though. But

2335
01:46:39,439 --> 01:46:41,240
Speaker 2: it's like the reason I also is like is this

2336
01:46:41,320 --> 01:46:43,080
Speaker 2: a commonplace thing in the white place of woman.

2337
01:46:43,120 --> 01:46:45,240
Speaker 1: I'm like, I don't think it's a commonplace. I don't

2338
01:46:45,240 --> 01:46:47,479
Speaker 1: think the voice thing. I don't think speaking in a

2339
01:46:47,479 --> 01:46:50,479
Speaker 1: low voice or like a higher voice, even higher voices

2340
01:46:50,520 --> 01:46:52,519
Speaker 1: all the time. Like if you start listening to it,

2341
01:46:52,560 --> 01:46:55,720
Speaker 1: if there's so many, do you hear it's like, yeah,

2342
01:46:55,760 --> 01:46:56,880
Speaker 1: weird phony baby voices.

2343
01:46:59,400 --> 01:46:59,680
Speaker 2: I don't.

2344
01:46:59,760 --> 01:47:03,439
Speaker 1: I that the idea that a woman like artificially lowers

2345
01:47:03,439 --> 01:47:06,559
Speaker 1: her voice like Elizabeth Holmes did, that's a low is

2346
01:47:06,640 --> 01:47:09,679
Speaker 1: very uncommon totally. And her voice sounds insane, Like I

2347
01:47:09,840 --> 01:47:13,280
Speaker 1: don't dismiss that she sounds batshit, But it's also like

2348
01:47:14,000 --> 01:47:14,599
Speaker 1: what we.

2349
01:47:15,360 --> 01:47:15,960
Speaker 2: It's the.

2350
01:47:18,400 --> 01:47:21,000
Speaker 1: Thing that drives me nuts, is like that we it

2351
01:47:22,080 --> 01:47:26,000
Speaker 1: we will uh, we will find fault in however, a

2352
01:47:26,040 --> 01:47:28,800
Speaker 1: woman pays sense right and that when she drives to

2353
01:47:28,880 --> 01:47:34,360
Speaker 1: then model after a male presentation in some way, then

2354
01:47:34,400 --> 01:47:35,479
Speaker 1: we're like, well, that's wrong.

2355
01:47:35,320 --> 01:47:38,880
Speaker 9: But it really was. What really frustrates me is you

2356
01:47:38,880 --> 01:47:40,799
Speaker 9: get a lot of people who will point out laughingly

2357
01:47:40,960 --> 01:47:43,000
Speaker 9: she was clearly trying to imitate Steve Jobs and the

2358
01:47:43,040 --> 01:47:45,080
Speaker 9: way that she dressed, with the turnal like and point

2359
01:47:45,120 --> 01:47:46,840
Speaker 9: out like how and how like the style of her

2360
01:47:46,840 --> 01:47:51,880
Speaker 9: presentations and what doesn't get brought up much like nearly

2361
01:47:51,920 --> 01:47:54,120
Speaker 9: as often in part because people don't like to think

2362
01:47:54,160 --> 01:47:58,679
Speaker 9: of jobs or other like heroic figures like tech founder figures.

2363
01:47:58,720 --> 01:48:00,240
Speaker 2: This way is the one of the other way she

2364
01:48:00,280 --> 01:48:00,680
Speaker 2: aped him.

2365
01:48:00,720 --> 01:48:03,559
Speaker 9: His jobs was very famous, not so much at the

2366
01:48:03,640 --> 01:48:06,599
Speaker 9: big public announcement level, but like when he was talking

2367
01:48:06,640 --> 01:48:12,080
Speaker 9: to investors, when he was putting together ideas with vastly

2368
01:48:12,120 --> 01:48:15,840
Speaker 9: over promising right, and part of what he did was

2369
01:48:15,920 --> 01:48:18,559
Speaker 9: be incredibly anal retentive about like when a product was

2370
01:48:18,600 --> 01:48:21,160
Speaker 9: actually ready. But he had these like very specific, often

2371
01:48:21,240 --> 01:48:23,719
Speaker 9: pie in the sky demands for what this thing needed

2372
01:48:23,720 --> 01:48:25,280
Speaker 9: to do, how it needed to look, how it needed

2373
01:48:25,280 --> 01:48:28,120
Speaker 9: to feel that he would promise could be done before

2374
01:48:28,160 --> 01:48:30,240
Speaker 9: they knew that they could do it, and he hired

2375
01:48:30,280 --> 01:48:32,559
Speaker 9: good people and Apple was able to square those circles

2376
01:48:32,600 --> 01:48:35,480
Speaker 9: Apple was able to produce. But there is a similarity

2377
01:48:35,560 --> 01:48:37,960
Speaker 9: with because her attitude was very much similar, which is

2378
01:48:38,040 --> 01:48:39,720
Speaker 9: what I need to do is make the promise, and

2379
01:48:39,800 --> 01:48:42,439
Speaker 9: I need to esthetically make the case of how this

2380
01:48:42,520 --> 01:48:44,720
Speaker 9: is going to look and feel and what it can do.

2381
01:48:45,200 --> 01:48:47,559
Speaker 9: And as long as we can get enough money doing that,

2382
01:48:47,640 --> 01:48:50,320
Speaker 9: we can brute force the having a real product thing.

2383
01:48:50,760 --> 01:48:53,759
Speaker 9: And it's not exactly the same thing, but it's close enough.

2384
01:48:53,840 --> 01:48:57,000
Speaker 9: Because almost every founder at some point relies on I

2385
01:48:57,040 --> 01:49:00,640
Speaker 9: don't fully know that what I can do meaches what

2386
01:49:00,800 --> 01:49:02,760
Speaker 9: meets what I am selling to the people who are

2387
01:49:02,760 --> 01:49:06,280
Speaker 9: investing money, and I don't fully know that the product

2388
01:49:06,360 --> 01:49:09,000
Speaker 9: that I am promising them I'm really going to be

2389
01:49:09,080 --> 01:49:12,120
Speaker 9: able to deliver, especially for the costs that I'm promising them,

2390
01:49:12,160 --> 01:49:17,960
Speaker 9: and that fundamental reality of how all this works. They

2391
01:49:18,000 --> 01:49:22,000
Speaker 9: gets obscured a lot because it's not It makes it.

2392
01:49:22,000 --> 01:49:24,439
Speaker 9: It makes it sound like gambling, and in a lot

2393
01:49:24,479 --> 01:49:25,280
Speaker 9: of ways it very much is.

2394
01:49:25,720 --> 01:49:27,360
Speaker 2: I mean, what's the difference. I mean, there is a

2395
01:49:27,400 --> 01:49:29,519
Speaker 2: difference in that theirnise did not exist. But what you

2396
01:49:29,680 --> 01:49:34,600
Speaker 2: just described is large language models like it literally is it.

2397
01:49:34,600 --> 01:49:37,439
Speaker 2: It's look this thing fucking sucks and it doesn't do

2398
01:49:37,560 --> 01:49:39,920
Speaker 2: what you want it to. But what if we spent

2399
01:49:40,040 --> 01:49:43,720
Speaker 2: more money than anything that's spent ever, ever, forever. What

2400
01:49:43,840 --> 01:49:47,360
Speaker 2: if it became something completely different and people will try

2401
01:49:47,360 --> 01:49:50,719
Speaker 2: and differentiate because Okay, the first step with Theronise is bullshit.

2402
01:49:50,760 --> 01:49:52,639
Speaker 2: They just sent it the lab Corp. They didn't even

2403
01:49:52,720 --> 01:49:56,760
Speaker 2: have the beginning steps. That fucking sucks. But Samulman does

2404
01:49:56,760 --> 01:49:59,880
Speaker 2: not have the first steps to agi fucking warry, I

2405
01:50:00,080 --> 01:50:03,000
Speaker 2: Amma Day doesn't have the first steps to a fucking

2406
01:50:03,040 --> 01:50:05,879
Speaker 2: shit in a hole in the ground like they're all doing.

2407
01:50:06,520 --> 01:50:09,840
Speaker 2: Only a few steps from thernos, and they will be

2408
01:50:09,960 --> 01:50:13,679
Speaker 2: colored very differently that they were just innovators risking. If

2409
01:50:13,720 --> 01:50:17,080
Speaker 2: you end up writing that when this ship pops, you're

2410
01:50:17,120 --> 01:50:20,240
Speaker 2: a mark in the same way that every single person

2411
01:50:20,280 --> 01:50:23,800
Speaker 2: who covered Therhnose was because it's the same shite.

2412
01:50:24,000 --> 01:50:24,200
Speaker 9: There was.

2413
01:50:24,400 --> 01:50:29,080
Speaker 2: There was a real good reporter at the journal that yeah, yeah, yeah, yeah.

2414
01:50:29,120 --> 01:50:32,280
Speaker 2: Several years after all the major articles came out. John

2415
01:50:32,320 --> 01:50:36,200
Speaker 2: Carrier was several year twenty fifteen, I think that came out.

2416
01:50:36,240 --> 01:50:40,000
Speaker 2: There were Theronose articles for years, and there was several

2417
01:50:40,040 --> 01:50:44,080
Speaker 2: blogs before Carrier rou that were like, hey, I looked

2418
01:50:44,080 --> 01:50:47,040
Speaker 2: at the science. None of this made sense. It seem

2419
01:50:47,120 --> 01:50:49,800
Speaker 2: like it can work. Yeah, and carrier Row did and

2420
01:50:49,800 --> 01:50:52,280
Speaker 2: typically he did incredible reporting, a really great job. But

2421
01:50:52,320 --> 01:50:56,320
Speaker 2: it's like there were very few people who did. And

2422
01:50:56,400 --> 01:51:00,000
Speaker 2: I think it's I think when Sam Mortman gets crucified

2423
01:51:00,240 --> 01:51:05,120
Speaker 2: as I expect Evangelian style, it's not going to be

2424
01:51:05,160 --> 01:51:07,960
Speaker 2: the same way, and it will. I think everyone needs

2425
01:51:07,960 --> 01:51:10,479
Speaker 2: to pre prepare for if you want to frame this

2426
01:51:10,560 --> 01:51:13,120
Speaker 2: as the innovator is dilemma. Oh, you know, just he

2427
01:51:13,240 --> 01:51:15,960
Speaker 2: was just trying something that is not a fair way

2428
01:51:16,000 --> 01:51:18,360
Speaker 2: to look at it because there was never a guidance

2429
01:51:18,400 --> 01:51:21,960
Speaker 2: point from that wherever agi bullshit happens.

2430
01:51:22,320 --> 01:51:25,639
Speaker 9: It's also fundamentally really bad for innovation. Like the big

2431
01:51:25,680 --> 01:51:29,760
Speaker 9: frustrations for me today was walking past probably a cumulative

2432
01:51:29,800 --> 01:51:33,680
Speaker 9: acre or two of different home robots. This is a

2433
01:51:33,760 --> 01:51:36,400
Speaker 9: robot servant. This is a humanoid robot that you can

2434
01:51:36,640 --> 01:51:38,880
Speaker 9: have due tasks for you. You can haven't watched your kids,

2435
01:51:38,920 --> 01:51:40,920
Speaker 9: you can have it. Take watch take your pets out.

2436
01:51:41,240 --> 01:51:41,479
Speaker 2: You know.

2437
01:51:41,680 --> 01:51:44,360
Speaker 9: Here we've got one and we've got a robot dinosaur

2438
01:51:44,400 --> 01:51:46,920
Speaker 9: and they're trying to get passed each watch him. Yeah,

2439
01:51:46,960 --> 01:51:48,800
Speaker 9: I was kind of like yeah, there's some of it's cute,

2440
01:51:48,840 --> 01:51:50,439
Speaker 9: some of it's There were a lot of like humanoid

2441
01:51:50,520 --> 01:51:54,240
Speaker 9: robots that were like like awkwardly strung up like they

2442
01:51:54,280 --> 01:51:56,439
Speaker 9: were on a gibbet to keep them standing, because like

2443
01:51:56,800 --> 01:51:59,760
Speaker 9: when they were either they couldn't they'd broken, or they

2444
01:51:59,720 --> 01:52:02,000
Speaker 9: would stay up on their own power. Like I wasn't

2445
01:52:02,040 --> 01:52:04,719
Speaker 9: sure exactly what was happening there. But in the middle

2446
01:52:04,720 --> 01:52:06,880
Speaker 9: of all that, I come up, like after like an

2447
01:52:06,920 --> 01:52:08,720
Speaker 9: acre or two of this stuff, I come across a

2448
01:52:08,760 --> 01:52:12,200
Speaker 9: little booth where it's like two guys at like a desk,

2449
01:52:12,520 --> 01:52:16,120
Speaker 9: maybe two desks, and they've got just like a couple

2450
01:52:16,200 --> 01:52:19,960
Speaker 9: of like stringy looking little like fabric tubes hanging and

2451
01:52:20,000 --> 01:52:21,799
Speaker 9: then a couple of little like gizmo's on the table.

2452
01:52:22,200 --> 01:52:24,040
Speaker 9: And I go up and I ask, like what it is.

2453
01:52:24,120 --> 01:52:28,160
Speaker 9: And it's a photonic muscle, is what they're calling it.

2454
01:52:28,240 --> 01:52:31,280
Speaker 9: And the way it works is I'm pulling up the

2455
01:52:31,360 --> 01:52:34,000
Speaker 9: picture right here. Ara a Flex is the company, and

2456
01:52:34,360 --> 01:52:37,080
Speaker 9: it's a photonic muscle. And you have these little bundles

2457
01:52:37,520 --> 01:52:40,559
Speaker 9: that look kind of like this, and each of these

2458
01:52:40,600 --> 01:52:43,320
Speaker 9: bundles has an led light in it, and there's like

2459
01:52:43,360 --> 01:52:45,920
Speaker 9: a kind of fiber or something inside it, and when

2460
01:52:45,960 --> 01:52:49,439
Speaker 9: the light turns on, it causes that that fiber to

2461
01:52:49,600 --> 01:52:53,200
Speaker 9: contract in a way that mimics a motor or functions

2462
01:52:53,200 --> 01:52:55,599
Speaker 9: the same way as a motor, and so you can

2463
01:52:55,680 --> 01:52:58,720
Speaker 9: put them in devices. And the example they had was

2464
01:52:59,760 --> 01:53:02,080
Speaker 9: there this this device that's like a I think, like

2465
01:53:02,120 --> 01:53:05,360
Speaker 9: you call like an intake thing on like a car

2466
01:53:05,439 --> 01:53:08,200
Speaker 9: right where you need these little flaps to open, and

2467
01:53:08,439 --> 01:53:11,080
Speaker 9: the flaps open and close by the use of these

2468
01:53:11,160 --> 01:53:14,240
Speaker 9: and they take up like half as much space as

2469
01:53:14,240 --> 01:53:16,640
Speaker 9: a motor would take because instead of a motor you

2470
01:53:16,680 --> 01:53:19,519
Speaker 9: have these little like synthetic photonic muscles that are much lighter,

2471
01:53:19,880 --> 01:53:22,400
Speaker 9: much less space, fewer moving parts.

2472
01:53:22,439 --> 01:53:24,360
Speaker 5: It's the chance to see stuff like that, which is

2473
01:53:24,360 --> 01:53:26,080
Speaker 5: why I keep coming back, and yet I miss this

2474
01:53:26,120 --> 01:53:28,400
Speaker 5: company because there's a lot to take in.

2475
01:53:28,479 --> 01:53:31,240
Speaker 9: There, and you you have to walk past again. All

2476
01:53:31,280 --> 01:53:33,360
Speaker 9: these these companies that have put how many god knows

2477
01:53:33,360 --> 01:53:36,559
Speaker 9: how many hundreds of millions of dollars into humanoid robots, most

2478
01:53:36,640 --> 01:53:39,840
Speaker 9: of which never have a chance really of establishing themselves,

2479
01:53:40,240 --> 01:53:44,000
Speaker 9: and very like basically none that I saw outside of

2480
01:53:44,040 --> 01:53:46,920
Speaker 9: like the ones meant for specific manufacturing uses, seemed like

2481
01:53:46,960 --> 01:53:51,000
Speaker 9: they had a creative or intellectually interesting reason or solved

2482
01:53:51,000 --> 01:53:55,040
Speaker 9: a problem, and that so vastly outnumbers and funding and attention.

2483
01:53:55,160 --> 01:53:58,200
Speaker 9: They like somebody made a muscle with light. That's kind

2484
01:53:58,240 --> 01:53:59,439
Speaker 9: of that's kind of sweet.

2485
01:54:00,080 --> 01:54:02,600
Speaker 2: The problem is is like the idea a robot that

2486
01:54:02,680 --> 01:54:05,639
Speaker 2: does one thing is not what people expect from a robot.

2487
01:54:05,680 --> 01:54:07,840
Speaker 2: Everyone wants to have one robot that is just a

2488
01:54:07,880 --> 01:54:11,200
Speaker 2: person a slave. Just let's just let's just cut straight

2489
01:54:11,200 --> 01:54:11,360
Speaker 2: to it.

2490
01:54:11,680 --> 01:54:15,120
Speaker 5: LG's whole saleswitch was the zero Labor Home, which I

2491
01:54:15,160 --> 01:54:17,080
Speaker 5: mean like big if true, right.

2492
01:54:17,000 --> 01:54:20,120
Speaker 2: Yeah, yeah, but it's from some lave.

2493
01:54:20,200 --> 01:54:21,440
Speaker 9: Didn't you see the Cloyd.

2494
01:54:22,160 --> 01:54:25,280
Speaker 3: Yeah he's uh your keys willing servant.

2495
01:54:25,360 --> 01:54:27,040
Speaker 2: Yeah, but he's pretty fruit.

2496
01:54:27,240 --> 01:54:30,439
Speaker 1: It's demented that it is what people want.

2497
01:54:30,720 --> 01:54:34,560
Speaker 2: Yeah, it's a slave. It's you either want a completely

2498
01:54:34,600 --> 01:54:38,200
Speaker 2: faceless machine. And I'm sure I want to make.

2499
01:54:38,080 --> 01:54:41,240
Speaker 11: Sure is the is the black guy, Like come on,

2500
01:54:47,960 --> 01:54:49,480
Speaker 11: that's the guy.

2501
01:54:49,640 --> 01:54:50,400
Speaker 2: You know you can't see.

2502
01:54:50,400 --> 01:54:52,920
Speaker 8: But I got some hotel rings on, so I know

2503
01:54:53,040 --> 01:54:54,120
Speaker 8: something about slaves.

2504
01:54:54,120 --> 01:54:56,760
Speaker 1: I know something, you.

2505
01:54:56,720 --> 01:54:59,760
Speaker 8: Know in my newsletter I wrote it, there's this essay

2506
01:54:59,760 --> 01:55:03,800
Speaker 8: a that was talking about how the roots of automation

2507
01:55:04,880 --> 01:55:07,680
Speaker 8: are go back to slavery, right, so part of the

2508
01:55:07,920 --> 01:55:11,840
Speaker 8: part of the the thing that developed the impetus for

2509
01:55:11,880 --> 01:55:14,839
Speaker 8: automation is that, you know, you had the abolition of slavery,

2510
01:55:14,840 --> 01:55:16,640
Speaker 8: and you had the British Empire being like, oh my

2511
01:55:16,800 --> 01:55:18,880
Speaker 8: fucking god, how are we going to keep you know,

2512
01:55:18,920 --> 01:55:22,200
Speaker 8: plantations are incredibly profitable. How are we going to keep

2513
01:55:22,240 --> 01:55:25,200
Speaker 8: these sort of profits because they're also integral to our

2514
01:55:25,200 --> 01:55:28,080
Speaker 8: empire and like for funding our navies and fielding our armies.

2515
01:55:28,440 --> 01:55:30,200
Speaker 8: And so the idea was like, okay, well, you have

2516
01:55:30,240 --> 01:55:34,680
Speaker 8: to make the factory resemble a plantation as much as possible.

2517
01:55:34,680 --> 01:55:36,400
Speaker 8: And I think most people when they think of plantations,

2518
01:55:36,400 --> 01:55:39,320
Speaker 8: they think like, okay, you know it's outside, disorganize a

2519
01:55:39,360 --> 01:55:41,280
Speaker 8: little bit, you have an overseer. But they were like

2520
01:55:41,440 --> 01:55:44,720
Speaker 8: very highly regimented, and they developed very specific methods of

2521
01:55:44,760 --> 01:55:48,160
Speaker 8: extracting and terrorize as much labor as possible and terrorizing people.

2522
01:55:48,640 --> 01:55:51,520
Speaker 8: And so the automation that was developed by this guy,

2523
01:55:51,600 --> 01:55:54,200
Speaker 8: Charles Babbage was like an attempt to do early divisions

2524
01:55:54,200 --> 01:55:56,200
Speaker 8: of labor and create machines that would be able to

2525
01:55:56,800 --> 01:55:59,720
Speaker 8: you know, self surveil workers or workers would be able

2526
01:55:59,720 --> 01:56:02,080
Speaker 8: to help avail themselves or quantify their work or divide

2527
01:56:02,080 --> 01:56:06,120
Speaker 8: it into pieces like some of the very foundational theories

2528
01:56:06,120 --> 01:56:10,760
Speaker 8: of how labor should be organized going into okay, well,

2529
01:56:10,760 --> 01:56:15,000
Speaker 8: how do we get a non human along a division

2530
01:56:15,040 --> 01:56:19,000
Speaker 8: of labor where we're separating as much work as possible

2531
01:56:19,040 --> 01:56:24,560
Speaker 8: to discrete repeatable, substitutable parts, you know, which we already

2532
01:56:24,560 --> 01:56:28,480
Speaker 8: designed to resemble slavery? How do we get that in

2533
01:56:28,600 --> 01:56:31,160
Speaker 8: this like embodied thing that is also just happens to

2534
01:56:31,160 --> 01:56:33,920
Speaker 8: look like a person without a face, that's we want

2535
01:56:33,920 --> 01:56:34,560
Speaker 8: everywhere in the house.

2536
01:56:34,560 --> 01:56:34,920
Speaker 3: So I don't know.

2537
01:56:34,920 --> 01:56:37,960
Speaker 8: I feel like the heart and the soul of it

2538
01:56:38,000 --> 01:56:40,720
Speaker 8: does link back to it, and it goes back even further, right,

2539
01:56:40,760 --> 01:56:43,040
Speaker 8: But I think then also the other question is like

2540
01:56:43,040 --> 01:56:45,600
Speaker 8: how much do you think this is also colored by

2541
01:56:45,680 --> 01:56:49,440
Speaker 8: experiences maybe some of these people have where you know,

2542
01:56:49,800 --> 01:56:52,240
Speaker 8: they're they're like, yeah, why shouldn't I, you know, why

2543
01:56:52,280 --> 01:56:56,040
Speaker 8: shouldn't I have a person or a thing in my house?

2544
01:56:56,080 --> 01:56:57,760
Speaker 8: And how can I convince other people to do it?

2545
01:56:57,840 --> 01:56:59,960
Speaker 8: If only by having a robot do it?

2546
01:57:00,840 --> 01:57:02,680
Speaker 2: And I think that there's well, there's two parts of that.

2547
01:57:02,760 --> 01:57:05,240
Speaker 2: It's one they might have hired help and they're like, well,

2548
01:57:05,280 --> 01:57:07,840
Speaker 2: I have to pay some fucking piece of shit human

2549
01:57:08,040 --> 01:57:11,120
Speaker 2: Jesus Corst. But also there is I feel like there's

2550
01:57:11,120 --> 01:57:13,680
Speaker 2: a division in automation with some people where there's some

2551
01:57:13,720 --> 01:57:15,800
Speaker 2: people where it's like I see this asn't as a

2552
01:57:15,920 --> 01:57:19,280
Speaker 2: kind of as like an amplification of who I am,

2553
01:57:19,320 --> 01:57:21,320
Speaker 2: like like an extra arm, like an arm that moves

2554
01:57:21,360 --> 01:57:23,200
Speaker 2: one thing to one thing, which is not a thing

2555
01:57:23,240 --> 01:57:25,560
Speaker 2: I command, But it's just a thingy that does an

2556
01:57:25,600 --> 01:57:28,440
Speaker 2: action that's not a sexy thing you can raise funding on.

2557
01:57:28,520 --> 01:57:30,120
Speaker 2: You can't be like I got an arm that moves

2558
01:57:30,120 --> 01:57:32,839
Speaker 2: the thing from a thing, which is most industrial machinery.

2559
01:57:32,840 --> 01:57:35,960
Speaker 2: It's just like repeating one task again and again and again.

2560
01:57:36,120 --> 01:57:38,800
Speaker 2: The reason that replaces humans is that's a repetitive action.

2561
01:57:38,840 --> 01:57:40,839
Speaker 2: It fucks up humans. But it's not about the subjugation

2562
01:57:40,880 --> 01:57:44,360
Speaker 2: of a person. It's an action. It's not about controlling someone.

2563
01:57:44,440 --> 01:57:47,080
Speaker 2: It's about making a thingy happen. Then there are the

2564
01:57:47,080 --> 01:57:49,080
Speaker 2: people who are like, wouldn't it be awesome if every

2565
01:57:49,200 --> 01:57:52,160
Speaker 2: fucking whim I had was perfectly solved and I could

2566
01:57:52,400 --> 01:57:55,240
Speaker 2: order someone to quote Adam kind of a fear say,

2567
01:57:55,440 --> 01:57:58,440
Speaker 2: don't know the way I like it, And it's this

2568
01:57:58,600 --> 01:58:01,640
Speaker 2: idea of this bought yesterday. Oh we can do the

2569
01:58:01,640 --> 01:58:06,520
Speaker 2: TikTok daunce. Why do you want someone to dance for you?

2570
01:58:07,120 --> 01:58:09,800
Speaker 2: That's a fucking peculiar instinct.

2571
01:58:10,280 --> 01:58:13,480
Speaker 9: Part of what's so difficult, though, is that these are

2572
01:58:13,800 --> 01:58:16,400
Speaker 9: it's it's a version of the same problem that you

2573
01:58:16,520 --> 01:58:20,720
Speaker 9: have with a lot of like genetics and like fertility

2574
01:58:20,920 --> 01:58:24,960
Speaker 9: and technology. Right, where do you want to make sure

2575
01:58:25,160 --> 01:58:27,000
Speaker 9: if you can find out in the womb that a

2576
01:58:27,080 --> 01:58:29,080
Speaker 9: child's going to be born with its lungs outside its

2577
01:58:29,080 --> 01:58:31,080
Speaker 9: body and you can just kind of snip that out

2578
01:58:31,120 --> 01:58:34,240
Speaker 9: so the lungs are inside the body, do we want that?

2579
01:58:34,440 --> 01:58:36,280
Speaker 9: Everyone's pretty much like, oh, yeah, that's probably good if

2580
01:58:36,320 --> 01:58:38,960
Speaker 9: kids have lungs. Yeah, do you want to be able

2581
01:58:39,000 --> 01:58:43,240
Speaker 9: to tell if someone has autism and snip that whoa

2582
01:58:43,240 --> 01:58:47,360
Speaker 9: suddenly suddenly or any of the other horrible eugenics questions? Right,

2583
01:58:47,480 --> 01:58:49,800
Speaker 9: So everyone's like, yeah, there's certain things we want to

2584
01:58:49,800 --> 01:58:52,920
Speaker 9: be able to do with genetics technology. But if you

2585
01:58:53,000 --> 01:58:56,200
Speaker 9: say this is okay, all people are going to start

2586
01:58:56,240 --> 01:58:58,640
Speaker 9: immediately pushing for all and like drawing a line is

2587
01:58:58,880 --> 01:59:01,600
Speaker 9: something that like the fact that you're drawing a line,

2588
01:59:01,640 --> 01:59:03,680
Speaker 9: it means there's going to be strong lobbies of people

2589
01:59:03,720 --> 01:59:08,560
Speaker 9: pushing for stuff that is really bad, right, And with automation,

2590
01:59:08,720 --> 01:59:11,320
Speaker 9: everyone's like, like, I saw a product today that's one

2591
01:59:11,320 --> 01:59:13,080
Speaker 9: of a I've seen a couple like this where it's

2592
01:59:13,120 --> 01:59:16,680
Speaker 9: a big basically like a big cart on wheels that

2593
01:59:16,720 --> 01:59:20,080
Speaker 9: can go off road and can be fully autonomous and

2594
01:59:20,120 --> 01:59:22,960
Speaker 9: you can set here's where wounded guys are gonna be,

2595
01:59:23,200 --> 01:59:26,200
Speaker 9: here's where the hospital is, drive up to the front line,

2596
01:59:26,400 --> 01:59:28,920
Speaker 9: people throw a wounded guy in, drive to the to

2597
01:59:28,960 --> 01:59:32,520
Speaker 9: the medical good. Right, And you don't necessarily like it's

2598
01:59:32,560 --> 01:59:34,840
Speaker 9: better if a robot does that, because people can get

2599
01:59:34,920 --> 01:59:37,800
Speaker 9: blowed up, right if you can have and so. And

2600
01:59:37,840 --> 01:59:40,560
Speaker 9: there's also like, obviously I'm sure we all have individual

2601
01:59:40,600 --> 01:59:42,400
Speaker 9: pain in the ass tasks that were like, well, yeah,

2602
01:59:42,400 --> 01:59:44,400
Speaker 9: I'm I finally have a robot washes my dishes. Like

2603
01:59:45,000 --> 01:59:47,880
Speaker 9: but once you once you're saying, well, we do want

2604
01:59:47,920 --> 01:59:51,640
Speaker 9: to automate some stuff, you're having then a conversation where

2605
01:59:51,680 --> 01:59:55,480
Speaker 9: is the line? And right now everything's on the table,

2606
01:59:55,560 --> 01:59:59,400
Speaker 9: including like the creation of like art and beauty and

2607
01:59:59,440 --> 02:00:00,960
Speaker 9: the raising the children.

2608
02:00:00,640 --> 02:00:03,560
Speaker 2: The stuff when we're not working basic cognition.

2609
02:00:04,080 --> 02:00:06,840
Speaker 9: And that's the fact. But you can't if you're going

2610
02:00:06,880 --> 02:00:09,080
Speaker 9: to talk about some of it. All of it's going

2611
02:00:09,120 --> 02:00:10,440
Speaker 9: to be on the table at some point, and right

2612
02:00:10,440 --> 02:00:10,880
Speaker 9: now it is.

2613
02:00:11,200 --> 02:00:12,640
Speaker 8: Yeah, I think that's what's the other thing right where

2614
02:00:12,640 --> 02:00:15,920
Speaker 8: it's like, you know, to your point, there's automation that

2615
02:00:17,120 --> 02:00:21,320
Speaker 8: saves you labor and enhances productivity around the home, you know,

2616
02:00:21,400 --> 02:00:25,280
Speaker 8: and around certain workplaces that reduces the drudgery of tasks

2617
02:00:25,320 --> 02:00:28,640
Speaker 8: we have to do. And then there's automation that is

2618
02:00:28,680 --> 02:00:31,200
Speaker 8: deployed in a way to squeeze as much as possible

2619
02:00:31,240 --> 02:00:36,600
Speaker 8: out of people beyond what they might in of themselves

2620
02:00:36,640 --> 02:00:39,560
Speaker 8: want to do if they had control over to what

2621
02:00:39,640 --> 02:00:42,360
Speaker 8: degree am I going to augment my workplace or myself

2622
02:00:42,400 --> 02:00:43,040
Speaker 8: with this stuff?

2623
02:00:43,120 --> 02:00:43,320
Speaker 2: Right?

2624
02:00:43,640 --> 02:00:45,720
Speaker 8: And I think that ends up also being the line

2625
02:00:45,760 --> 02:00:47,760
Speaker 8: with a lot of these technologies where it's like, you know,

2626
02:00:47,800 --> 02:00:50,800
Speaker 8: how if we were designing genetic technologies, if we were

2627
02:00:50,840 --> 02:00:57,520
Speaker 8: designing you know, assistive automation or assistive artificial intelligences and

2628
02:00:57,600 --> 02:01:00,360
Speaker 8: grafting them onto our lives, I feel like the points

2629
02:01:00,360 --> 02:01:01,880
Speaker 8: in which we would let them and not let them

2630
02:01:01,920 --> 02:01:04,960
Speaker 8: look different than what your concerns and interests are. If

2631
02:01:05,000 --> 02:01:07,520
Speaker 8: you're like, Okay, well I'm looking to get a return

2632
02:01:08,160 --> 02:01:11,040
Speaker 8: or I'm looking to organize the workplace in a certain way,

2633
02:01:11,600 --> 02:01:15,040
Speaker 8: or I'm looking to just meet a very specific need

2634
02:01:15,160 --> 02:01:17,919
Speaker 8: and this or that context right in a battlefield and hospital,

2635
02:01:19,320 --> 02:01:22,680
Speaker 8: you know, in a public space. So I think so

2636
02:01:22,720 --> 02:01:25,320
Speaker 8: I you know, part of this is, like you know, downstream,

2637
02:01:25,320 --> 02:01:27,560
Speaker 8: the consequence of the fact I feel like we're almost

2638
02:01:27,600 --> 02:01:31,400
Speaker 8: all technical decisions have nothing to do with what anyone

2639
02:01:31,440 --> 02:01:33,320
Speaker 8: other than these private investors.

2640
02:01:34,000 --> 02:01:36,720
Speaker 1: I mean a thought that I have had this whole

2641
02:01:37,320 --> 02:01:42,280
Speaker 1: last few days is what does it mean to be

2642
02:01:42,560 --> 02:01:47,360
Speaker 1: optimized or to have your life optimized? What is the

2643
02:01:47,400 --> 02:01:52,280
Speaker 1: actual outcome of that? What are we optimizing for? And

2644
02:01:52,360 --> 02:01:55,480
Speaker 1: if the optimization is we're going to remove all of

2645
02:01:55,480 --> 02:01:58,520
Speaker 1: the annoying tasks so you can enjoy life, that sounds

2646
02:01:58,560 --> 02:02:01,440
Speaker 1: like an awesome answer, I can totally get behind on

2647
02:02:01,480 --> 02:02:04,120
Speaker 1: the ground that's not that doesn't seem to be what

2648
02:02:04,240 --> 02:02:05,760
Speaker 1: any of the products Like.

2649
02:02:05,840 --> 02:02:08,040
Speaker 2: I was just thinking of something very simple, which just

2650
02:02:08,080 --> 02:02:11,120
Speaker 2: like I'm lucky to live a really good life. And

2651
02:02:11,160 --> 02:02:13,760
Speaker 2: the reason I ken is I have a I have

2652
02:02:13,840 --> 02:02:16,840
Speaker 2: a washing machine and a dryer that works really well,

2653
02:02:16,840 --> 02:02:23,240
Speaker 2: and I have a good dishwasher. Like it's like yeah,

2654
02:02:23,520 --> 02:02:27,160
Speaker 2: like it's like the shit that sucks, isn't it? Like

2655
02:02:27,200 --> 02:02:29,200
Speaker 2: I can afford to use uber I can get around

2656
02:02:29,280 --> 02:02:32,360
Speaker 2: like a fifty dollars dishwasher that's really good, feels like

2657
02:02:32,400 --> 02:02:34,880
Speaker 2: it would be more innovative than anything on this floor,

2658
02:02:34,920 --> 02:02:38,280
Speaker 2: because most people can't afford to have a good one.

2659
02:02:38,480 --> 02:02:40,960
Speaker 2: Like the things that get in the way of existing

2660
02:02:41,120 --> 02:02:45,080
Speaker 2: are labor, as in having to do your horrible fucking

2661
02:02:45,160 --> 02:02:48,040
Speaker 2: job that doesn't pay you enough, or the shitty like

2662
02:02:48,320 --> 02:02:50,560
Speaker 2: how the fuck do you look after the children you have?

2663
02:02:50,680 --> 02:02:53,120
Speaker 2: They aren't really there's not really tech. You can't buy

2664
02:02:53,200 --> 02:02:57,200
Speaker 2: more time unless you have actual labor help, yeah, which

2665
02:02:57,240 --> 02:03:01,280
Speaker 2: requires more money, and you can't really replace that with

2666
02:03:01,360 --> 02:03:04,160
Speaker 2: a robot because the reason they need an every man

2667
02:03:04,240 --> 02:03:09,480
Speaker 2: robot is because problems are complex. The problems of even

2668
02:03:09,520 --> 02:03:11,000
Speaker 2: dishes are complex.

2669
02:03:10,680 --> 02:03:13,160
Speaker 1: And decision making is exactly you.

2670
02:03:13,080 --> 02:03:15,600
Speaker 2: Know what that is exactly it. It's like, it's not the

2671
02:03:15,720 --> 02:03:18,800
Speaker 2: problems themselves, it's the decisions around them, I mean.

2672
02:03:18,800 --> 02:03:22,280
Speaker 9: And that's why the most responsible technologies at cees stick

2673
02:03:22,320 --> 02:03:25,760
Speaker 9: to doing the things where there's no real downside if

2674
02:03:25,800 --> 02:03:29,320
Speaker 9: it's not too perfectly like raising children, which I saw

2675
02:03:29,360 --> 02:03:34,400
Speaker 9: a really good child companion robe today, which I look

2676
02:03:34,440 --> 02:03:36,839
Speaker 9: for at every one of these I love.

2677
02:03:37,080 --> 02:03:41,680
Speaker 2: But yes, oh I wasn't sure where you going back?

2678
02:03:41,960 --> 02:03:45,080
Speaker 9: No, there, So there was a really good one that

2679
02:03:45,440 --> 02:03:47,880
Speaker 9: it's one of my favorite CS categories where it's like

2680
02:03:47,960 --> 02:03:51,120
Speaker 9: Southeast Asian tech company marketing to Americans that doesn't fully

2681
02:03:51,240 --> 02:03:55,280
Speaker 9: understand our culture. And so the they have like a

2682
02:03:55,320 --> 02:03:57,520
Speaker 9: whole they have a set of bleachers erected and like

2683
02:03:57,640 --> 02:04:00,960
Speaker 9: fifty of these like little robot dolls sitting in them.

2684
02:04:00,960 --> 02:04:03,880
Speaker 9: I'll show you, guys, but they're like they're all wearing

2685
02:04:04,000 --> 02:04:10,360
Speaker 9: like sleeveless shirts and yeah, yeah, they're all wearing sleeveless

2686
02:04:10,360 --> 02:04:13,600
Speaker 9: shirts and like little beanie hats basically like that have

2687
02:04:13,720 --> 02:04:15,600
Speaker 9: the name of the robot on it, which is.

2688
02:04:16,280 --> 02:04:19,480
Speaker 2: Booster or is it Booster? Yeah, it's Booster.

2689
02:04:20,360 --> 02:04:22,120
Speaker 9: But then in front they had one robot that was

2690
02:04:22,160 --> 02:04:24,440
Speaker 9: dressed differently and I didn't realize at first it looked

2691
02:04:24,440 --> 02:04:26,120
Speaker 9: like it had like a suit and a black hat on.

2692
02:04:26,240 --> 02:04:29,280
Speaker 9: And then the video starts playing and I realize that

2693
02:04:29,320 --> 02:04:32,720
Speaker 9: fucking robot is Michael Jackson and it's dancing to Billy

2694
02:04:32,840 --> 02:04:35,760
Speaker 9: Jean alongside what I believe is a kid.

2695
02:04:35,840 --> 02:04:39,200
Speaker 3: I know exactly, and it was well that did happen?

2696
02:04:39,280 --> 02:04:42,080
Speaker 9: Could not get across of them, Hey, guys, maybe Michael

2697
02:04:42,120 --> 02:04:45,280
Speaker 9: Jackson is not the best robot mascot for a children's toy.

2698
02:04:48,360 --> 02:04:52,200
Speaker 9: But immediately what I got to show you, guys, and

2699
02:04:52,320 --> 02:04:53,360
Speaker 9: this is what I was telling you.

2700
02:04:53,520 --> 02:04:54,400
Speaker 2: We might cut this in.

2701
02:04:54,600 --> 02:04:58,000
Speaker 9: We might justly I want the reaction. This is what

2702
02:04:58,120 --> 02:05:02,800
Speaker 9: happens in that video immediately after it's the robots dance,

2703
02:05:04,600 --> 02:05:05,960
Speaker 9: So this is right after Billy Jean.

2704
02:05:14,960 --> 02:05:16,879
Speaker 2: That is identical to the way.

2705
02:05:21,440 --> 02:05:21,920
Speaker 3: So weird.

2706
02:05:22,680 --> 02:05:26,720
Speaker 9: What happens in that video, the instant that finishes doing

2707
02:05:26,760 --> 02:05:31,120
Speaker 9: a like dancing to Billy Jean while like moonwalking, there's

2708
02:05:31,600 --> 02:05:34,240
Speaker 9: immediately a man runs into another version of the robot

2709
02:05:34,280 --> 02:05:37,240
Speaker 9: and starts beating it with a wooden stick, which then

2710
02:05:37,280 --> 02:05:40,280
Speaker 9: switches to a guy putting cinder blocks on top of

2711
02:05:40,320 --> 02:05:43,400
Speaker 9: it and smashing it with a fucking mallet. And then

2712
02:05:43,440 --> 02:05:45,480
Speaker 9: right after that dude comes in with a liquor bottle

2713
02:05:45,680 --> 02:05:48,120
Speaker 9: and shatters it over the robot's head.

2714
02:05:48,840 --> 02:05:53,400
Speaker 2: If you are protecting your children from the homeless from the.

2715
02:05:53,400 --> 02:05:56,480
Speaker 1: Robots, like, what else does that saying? I let the

2716
02:05:56,560 --> 02:05:57,720
Speaker 1: robot stands up after you.

2717
02:05:58,880 --> 02:06:02,200
Speaker 2: You can't do it, you can't. I love that because

2718
02:06:02,240 --> 02:06:04,640
Speaker 2: it looked almost identical to those things. I don't know

2719
02:06:04,680 --> 02:06:08,240
Speaker 2: if you remember the modeling experiment, like the regularly disproved

2720
02:06:08,240 --> 02:06:10,320
Speaker 2: thing about how children will copy anything, and it's just

2721
02:06:10,400 --> 02:06:13,920
Speaker 2: children hitting a clown with a stick and it looked identical.

2722
02:06:14,200 --> 02:06:18,000
Speaker 2: It's the same fucking thing that c Yes, baby, just

2723
02:06:18,040 --> 02:06:21,040
Speaker 2: like I want to be in the room. When they

2724
02:06:21,040 --> 02:06:23,640
Speaker 2: were recording that, it's like, hit it again, hit it again,

2725
02:06:24,360 --> 02:06:26,960
Speaker 2: get a liquor, get a liquor bottle, fuck it up.

2726
02:06:27,440 --> 02:06:28,160
Speaker 1: It was unclear.

2727
02:06:28,160 --> 02:06:29,000
Speaker 2: I'll do that for free.

2728
02:06:29,120 --> 02:06:31,080
Speaker 9: What the selling point? Because it goes from it can

2729
02:06:31,160 --> 02:06:33,920
Speaker 9: dance like Michael Jackson. You can beat the shit out

2730
02:06:33,960 --> 02:06:36,760
Speaker 9: of it and it's fine. It'll walk with your little

2731
02:06:36,760 --> 02:06:42,919
Speaker 9: girl and help her learn languages. It's like quizzing herd.

2732
02:06:43,840 --> 02:06:44,480
Speaker 2: Why is that?

2733
02:06:44,600 --> 02:06:46,920
Speaker 9: And I kind of think maybe they just sort of

2734
02:06:46,960 --> 02:06:50,040
Speaker 9: incompetently realize something that is a brilliant idea, which is

2735
02:06:50,400 --> 02:06:52,520
Speaker 9: if you if you mark it and build a robot

2736
02:06:52,680 --> 02:06:55,480
Speaker 9: entirely on terminator to logic, yell, you just show that

2737
02:06:55,520 --> 02:06:58,480
Speaker 9: this robot can't be killed. It's loyal to your child,

2738
02:06:58,800 --> 02:07:01,480
Speaker 9: it'll never get drunk in hit them, It'll never not

2739
02:07:01,640 --> 02:07:04,200
Speaker 9: come home after staying out late at the bar at night.

2740
02:07:04,240 --> 02:07:06,640
Speaker 9: You know, like the whole state, the whole Sarah Connor

2741
02:07:06,720 --> 02:07:08,040
Speaker 9: speech from T two.

2742
02:07:10,680 --> 02:07:12,960
Speaker 5: For you note, I did not see any robots built

2743
02:07:12,960 --> 02:07:15,960
Speaker 5: out of liquid metal, but I mean I missed some

2744
02:07:16,040 --> 02:07:19,160
Speaker 5: corners of the vation expos so maybe that's a south.

2745
02:07:20,000 --> 02:07:22,200
Speaker 8: I want the AI bubble burst will get to what

2746
02:07:22,240 --> 02:07:24,800
Speaker 8: we really need to get to, which is building terminators.

2747
02:07:25,360 --> 02:07:28,880
Speaker 2: All right, as we approach the end of this, Chloe Radcliffe,

2748
02:07:29,280 --> 02:07:30,840
Speaker 2: what do you think of cees.

2749
02:07:30,720 --> 02:07:37,160
Speaker 1: Just it's I mean, truly, I go back to numbers

2750
02:07:37,200 --> 02:07:41,680
Speaker 1: you don't need. Yeah, I go back to so what

2751
02:07:41,720 --> 02:07:45,160
Speaker 1: does that? Do you know? What's funny? Or so who

2752
02:07:45,160 --> 02:07:51,120
Speaker 1: gives a shit? It's it's so unnerving to think about

2753
02:07:51,360 --> 02:07:56,960
Speaker 1: how how much of our society feels like there's no money, yeah,

2754
02:07:56,960 --> 02:07:59,680
Speaker 1: and then to come to a place where there is

2755
02:07:59,720 --> 02:08:00,760
Speaker 1: all the money.

2756
02:08:01,040 --> 02:08:01,920
Speaker 2: Yeah.

2757
02:08:01,960 --> 02:08:04,600
Speaker 1: And it's that that I think is distributing to.

2758
02:08:04,560 --> 02:08:05,879
Speaker 3: An AI industry conference.

2759
02:08:06,120 --> 02:08:09,960
Speaker 1: Yeah, yeah, yeah totally. And And like I work in entertainment,

2760
02:08:10,040 --> 02:08:13,320
Speaker 1: and such a common refrain in entertainment is like, ah,

2761
02:08:13,360 --> 02:08:15,200
Speaker 1: we just don't have the budgets to do that anymore.

2762
02:08:15,360 --> 02:08:16,760
Speaker 1: We used to have those kind of budgets and we

2763
02:08:16,800 --> 02:08:20,760
Speaker 1: don't anymore. And I'm like, there is money fucking slashing around,

2764
02:08:21,320 --> 02:08:24,520
Speaker 1: hitting the sides, coming out people's noses, like there is

2765
02:08:24,680 --> 02:08:30,040
Speaker 1: so much money and it's infuriating to me that you know,

2766
02:08:30,160 --> 02:08:32,160
Speaker 1: I'm taking a very narrow view right now.

2767
02:08:32,720 --> 02:08:35,960
Speaker 2: I actually push back, You're not, You're taking a very.

2768
02:08:35,840 --> 02:08:38,680
Speaker 1: Reasonable but here here the narrow, the narrow part of

2769
02:08:38,680 --> 02:08:40,640
Speaker 1: the view is like I'm putting aside the fact that

2770
02:08:40,680 --> 02:08:44,040
Speaker 1: it's infuriating that people are living very difficult lives amidst

2771
02:08:44,080 --> 02:08:46,480
Speaker 1: all this money floating around. But but like even I'm

2772
02:08:46,560 --> 02:08:48,400
Speaker 1: just thinking about my job. You know, it's like in

2773
02:08:48,440 --> 02:08:52,520
Speaker 1: the entertainment industry, the fact that there is relatively little money,

2774
02:08:52,520 --> 02:08:54,600
Speaker 1: that money is tight, and I'm like, it's not. It's

2775
02:08:54,720 --> 02:08:57,560
Speaker 1: also it's it's especially relevant. Sorry. And then a second,

2776
02:08:57,640 --> 02:09:02,040
Speaker 1: it's especially pertinent in entertainment because so much of entertainment

2777
02:09:02,200 --> 02:09:06,280
Speaker 1: is now owned by the thing that owned the tech

2778
02:09:06,920 --> 02:09:09,440
Speaker 1: where all the money lives. And so I'm like, what

2779
02:09:09,480 --> 02:09:12,280
Speaker 1: the fuck do you mean there's no money in entertainment?

2780
02:09:12,480 --> 02:09:12,640
Speaker 2: Do you?

2781
02:09:12,720 --> 02:09:16,320
Speaker 9: You couldn't be more right, because like number one, like

2782
02:09:16,360 --> 02:09:19,600
Speaker 9: the other thing is that it's entertainment makes as much

2783
02:09:19,640 --> 02:09:22,480
Speaker 9: money as ever, it's not no longer making money. But

2784
02:09:22,800 --> 02:09:25,600
Speaker 9: like you said, the companies that now own all of

2785
02:09:25,600 --> 02:09:28,400
Speaker 9: these fucking are taking those profits and they're currently pouring

2786
02:09:28,400 --> 02:09:30,440
Speaker 9: them into the ship that you're seeing on the broken

2787
02:09:30,440 --> 02:09:31,480
Speaker 9: shit on the floor here.

2788
02:09:31,560 --> 02:09:34,400
Speaker 2: Yeah, and when all of this is dead and bleeding

2789
02:09:34,400 --> 02:09:37,600
Speaker 2: on the floor, you're gonna give it to Chloe Radcliffe.

2790
02:09:37,680 --> 02:09:39,760
Speaker 1: Yeah that's right.

2791
02:09:39,920 --> 02:09:41,760
Speaker 2: We're gonna wrap here. And I just want to say,

2792
02:09:41,800 --> 02:09:44,560
Speaker 2: on behalf of all the listeners and myself, thank you, Chloe,

2793
02:09:44,640 --> 02:09:46,640
Speaker 2: thank you for joining It be honor. I've had a

2794
02:09:47,080 --> 02:09:50,880
Speaker 2: hard join us next year. Yeah, it's been a genuine

2795
02:09:50,880 --> 02:09:52,320
Speaker 2: pleasure to have you. Wecon peoplefined you.

2796
02:09:53,200 --> 02:09:57,160
Speaker 1: I am at Chloe badcliff on all platforms like my

2797
02:09:57,240 --> 02:10:01,920
Speaker 1: last name Radcliffe but bad uh. And I'm in Cincinnati

2798
02:10:01,920 --> 02:10:04,160
Speaker 1: this weekend, I'm in DC next weekend. I'm in Philly

2799
02:10:04,200 --> 02:10:08,280
Speaker 1: the week after. Follow me sign up for my mailing list.

2800
02:10:08,800 --> 02:10:12,120
Speaker 2: Yeah yeah, Rob Pegarra will have your links in there.

2801
02:10:12,160 --> 02:10:14,160
Speaker 2: But thank you so much for joining us. You are

2802
02:10:14,240 --> 02:10:16,800
Speaker 2: you are welcome, You are one of the best. I

2803
02:10:16,840 --> 02:10:20,080
Speaker 2: love having you here. I try and you are at

2804
02:10:20,120 --> 02:10:23,200
Speaker 2: everything I'm at, which is genuinely a pleasure. Robert Evans,

2805
02:10:23,280 --> 02:10:25,920
Speaker 2: my boss behind the Bastards, thank you for joining us,

2806
02:10:26,480 --> 02:10:28,560
Speaker 2: and of course the other ed and I'm going so

2807
02:10:28,720 --> 02:10:30,680
Speaker 2: love you, buddy, Thank you for having me.

2808
02:10:30,760 --> 02:10:32,480
Speaker 8: Love you too, Bud, and.

2809
02:10:32,440 --> 02:10:34,280
Speaker 2: I love you all for listening. We will be back

2810
02:10:34,320 --> 02:10:38,000
Speaker 2: tomorrow for four more hours. Yeah, I forgot for a.

2811
02:10:37,960 --> 02:10:39,160
Speaker 1: Sh fucking psychos.

2812
02:10:39,200 --> 02:10:39,520
Speaker 7: I can't be.

2813
02:10:41,280 --> 02:10:44,200
Speaker 2: Nah, all of the men I'm radicalizing, and the woman

2814
02:10:44,240 --> 02:10:46,440
Speaker 2: that listen as well, and the trans people and everyone

2815
02:10:46,440 --> 02:10:49,120
Speaker 2: in non binary, everyone who listens. I don't care who

2816
02:10:49,160 --> 02:10:50,880
Speaker 2: you are, but I care that you are who you are.

2817
02:10:51,480 --> 02:10:53,280
Speaker 2: It has been a very long day and it's a

2818
02:10:53,400 --> 02:10:55,560
Speaker 2: very long week. But I love you listening. We will

2819
02:10:55,560 --> 02:10:59,680
Speaker 2: be back four hours tomorrow, an hour eplog on Saturday,

2820
02:10:59,760 --> 02:11:01,840
Speaker 2: and then they are going to shoot me in the

2821
02:11:01,920 --> 02:11:06,400
Speaker 2: head parody. I'm d Zichron. Please subscribe to my newsletter.

2822
02:11:06,400 --> 02:11:08,960
Speaker 2: I did not do premium this week, so please use

2823
02:11:08,960 --> 02:11:11,560
Speaker 2: the link in the thing. I desperately need that. Thank

2824
02:11:11,600 --> 02:11:14,480
Speaker 2: you to Mattasowski, my wonderful producer who has been working

2825
02:11:14,480 --> 02:11:19,000
Speaker 2: his fucking assoft all week. Amazing show, More amazing stuff

2826
02:11:19,000 --> 02:11:22,560
Speaker 2: to come. We're also dedicating these episodes the Sean Paul Adams,

2827
02:11:22,600 --> 02:11:24,160
Speaker 2: who was a friend of the show and the Suite.

2828
02:11:24,320 --> 02:11:28,000
Speaker 2: Sadly he passed last year. Shanpaul absolutely rocked, So we're

2829
02:11:28,000 --> 02:11:32,040
Speaker 2: honoring him by donating to the Pediatric Epilepsy Research Consortium.

2830
02:11:32,160 --> 02:11:34,400
Speaker 2: Shampaul's son is epileptic, and his family and friends would

2831
02:11:34,400 --> 02:11:36,520
Speaker 2: deeply appreciate your donations, as would I.

2832
02:11:37,040 --> 02:11:48,000
Speaker 12: Thank you, Thank you for listening to Better Offline.

2833
02:11:48,080 --> 02:11:50,520
Speaker 2: The editor and composer of the Better Offline theme song

2834
02:11:50,600 --> 02:11:53,240
Speaker 2: is Matasowski. You can check out more of his music

2835
02:11:53,280 --> 02:11:56,000
Speaker 2: and audio projects at Mattasowski dot com.

2836
02:11:56,360 --> 02:11:56,720
Speaker 1: M A. T.

2837
02:11:56,920 --> 02:11:59,920
Speaker 12: T OsO w Ski.

2838
02:12:01,280 --> 02:12:03,600
Speaker 2: You can email me at easy at Better Offline dot

2839
02:12:03,640 --> 02:12:05,880
Speaker 2: com or visit Better Offline dot com to find more

2840
02:12:05,880 --> 02:12:09,280
Speaker 2: podcast links and of course, my newsletter. I also really

2841
02:12:09,320 --> 02:12:11,600
Speaker 2: recommend you go to chat dot Where's Youread dot at

2842
02:12:11,600 --> 02:12:14,040
Speaker 2: to visit the discord, and go to our slash Better

2843
02:12:14,080 --> 02:12:17,240
Speaker 2: Offline to check out I'll Reddit. Thank you so much

2844
02:12:17,280 --> 02:12:17,800
Speaker 2: for listening.

2845
02:12:18,640 --> 02:12:21,120
Speaker 12: Better Offline is a production of cool Zone Media.

2846
02:12:21,240 --> 02:12:24,080
Speaker 2: For more from cool Zone Media, visit our website cool

2847
02:12:24,160 --> 02:12:27,480
Speaker 2: Zonemedia dot com, or check us out on the iHeartRadio app,

2848
02:12:27,560 --> 02:12:30,240
Speaker 2: Apple Podcasts, or wherever you get your podcasts.