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Speaker 1: Cool Media.

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Speaker 2: Welcome back to it could happen here, a podcast about it,

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Speaker 2: the Consumer Electronics Show, happening here to everyone, And of

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Speaker 2: course it is in fact happening to everyone, because over

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Speaker 2: the course of the day, all of our subjects here,

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Speaker 2: all of our experts here, have watched different kinds of

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Speaker 2: dudes explain the different kinds of jobs they want to

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Speaker 2: replace with a chatbot that was trained on Reddit. So

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Speaker 2: I'm gonna go around a circle and introduce our guests today.

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Speaker 2: First off, we've got the great Ed Anguiso Junior. Ed,

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Speaker 2: thank you for being here, Thanks for having me on.

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Speaker 2: We've got Garrison Davis, who's also great, but I'm not

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Speaker 2: gonna say it at the same time because I don't

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Speaker 2: want Ed's compliment to feel like less. But you're contractually

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Speaker 2: obligated to not mind.

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Speaker 3: Yes, thank you boss.

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Speaker 2: Great to be here, as always, very natural, very natural.

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Speaker 2: Zi hi hi, hello, hello, oh hello, hello, thank you.

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Speaker 2: This is your first cees as well, that's your first

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Speaker 2: time being a journalist. Also true. How do you how

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Speaker 2: do you feel doing the job that Alex Garland has

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Speaker 2: just reminded us in the movie Civil War is a

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Speaker 2: fundamentally noble, perfect endeavor only practiced by heroes.

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Speaker 4: I love wearing a dress, shirt and tie and just

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Speaker 4: getting very drunk.

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Speaker 2: You were very surprised when I gave you your gun,

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Speaker 2: but you can't be a journalist without one. Yeah, yeah,

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Speaker 2: I playing with it without the safety. Remember, And last,

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Speaker 2: but certainly not least, In fact, may be better than

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Speaker 2: some people in the room. Again, I'm not going to

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Speaker 2: say who. You can wonder that for yourself, feel David Roth.

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Speaker 5: Thanks, I agree that I'm pretty good. How much better

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Speaker 5: I am than how many people in this room?

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Speaker 2: I'm not. I'm not even really like something that not

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Speaker 2: like talking about. Yeah, exactly because we haven't gotten those

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Speaker 2: numbers back from Open AI.

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Speaker 5: Yeah, it would be irresponsible to speculate at the end.

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Speaker 2: Yeah, you got away for three. So what I want

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Speaker 2: to do here? I think this is kind of our

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Speaker 2: roll up. We've spent our last day on the floor.

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Speaker 2: I want to go around and I'll start first. You

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Speaker 2: guys have a second to get your thoughts together. What

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Speaker 2: comes to mind im media is like, this is the

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Speaker 2: thing that I had the most positive reaction to, and

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Speaker 2: this is the thing that I had the most negative

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Speaker 2: reaction to. I think is a solid way for us

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Speaker 2: to start out, and I think my most negative reaction,

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Speaker 2: obviously was the Amy artificial child best Friend toy, which

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Speaker 2: was deeply upsetting and uncomfortable, and I hated both that.

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Speaker 2: Like I could tell, from an industrial design standpoint, pretty

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Speaker 2: good design, Like it looked like something like, oh, Kitt'll

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Speaker 2: think that's cute, and from a this is our intent

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Speaker 2: for this product standpoint, it felt like a replacement for

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Speaker 2: the love of adults in the life of a small child,

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Speaker 2: which I thought was like evil in a profound way.

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Speaker 2: And I guess the best thing that I saw. I'm

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Speaker 2: not perfectly competent at this point to like analyze how

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Speaker 2: well it worked, but from the demo I saw, I

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Speaker 2: was very impressed with Naqi. Knakis basically reads facial micro

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Speaker 2: motions in order to let people control a computer, not exclusively,

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Speaker 2: but especially if they're quadriplegic or whatever. Like I thought

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Speaker 2: that was really interesting, and it's the kind of thing

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Speaker 2: because honestly, I might loop that in with There was

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Speaker 2: a AI assisted like Caine for people who were blind.

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Speaker 2: There was another device that led you to control a

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Speaker 2: computer through like facial movements in your mouth. It was

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Speaker 2: like a retainer. All the stuff that's like Oh, these

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Speaker 2: are like really, people care a lot about helping somebody

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Speaker 2: regain the ability to utilize technology to let them reconnect

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Speaker 2: to the world. That's like the opposite of replacing a

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Speaker 2: child's parents with a toy ed You're in the hot

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Speaker 2: seat next, you know.

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Speaker 6: The thing I loved the most was obviously the Global

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Speaker 6: Pavilion for connecting Web three businesses across cryptoching. Oh yeah,

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Speaker 6: DeFi fintech cb DC's which your central bank, digital currencies

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Speaker 6: and legal ADVARC. You know this in my heart flutter

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Speaker 6: because you know what, even when you think they're down,

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Speaker 6: Crypto finds a way to squirm into your life.

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Speaker 3: It really is the zombie of the tech world. Yeah,

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Speaker 3: because it's dead and yet it's undead. It's constantly trying

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Speaker 3: to crawl back somehow.

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Speaker 2: The fact that it's dead makes it more dangerous.

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Speaker 3: Now to exactly it's specifically a zombie. I will try

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Speaker 3: to figure out what's the vampire, but specifically Crypto is

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Speaker 3: the zombie.

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Speaker 2: Yeah. When I first read the line that is not dead,

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Speaker 2: which can eternal lie and with strange eons, even death

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Speaker 2: may die.

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Speaker 6: Yeah, when I think of you know, twenty eight years

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Speaker 6: later trailer where they use that poem.

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Speaker 2: Three sex.

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Speaker 6: You know, like, I'm just guessing where the price of

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Speaker 6: bitcoin is gonna go. I think we're at the beginning

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Speaker 6: of a golden age, not for us, but for the grifters.

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Speaker 6: Oh God, next week, when are dear Golden boy gets

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Speaker 6: or Orange boy gets elected so I are inaugurated? Has

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Speaker 6: he already won the election?

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Speaker 2: Did well?

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Speaker 3: Well, that's that's that's debatable. I think there was some

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Speaker 3: very curious irregularities in multiple states right.

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Speaker 2: Straightforward from here to be encouraging the blue and on

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Speaker 2: people that know, now let him, let him have it,

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Speaker 2: have it. You're right, he wasn't shot at all. That

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Speaker 2: was all an AI trick. Yeah, that was they are

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Speaker 2: fifteen would blow your whole head off that way.

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Speaker 1: You know.

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Speaker 6: The thing I actually did like the most similar to you,

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Speaker 6: I really did like the assistive tech. I mean the

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Speaker 6: stuff that is for people who are disabled not able

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Speaker 6: body either experience things either cognitive decline or you know,

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Speaker 6: the neodegenerative things or paralyzed. Like, this is actual stuff

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Speaker 6: that we need a lot more investment in development and

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Speaker 6: I assume maybe the scaleut production of it and figure

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Speaker 6: out ways that it can be offered to people in

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Speaker 6: a variety or in a spectrum re use cases. Right,

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Speaker 6: I ain't the stuff that I did not like.

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Speaker 4: Hmm.

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Speaker 6: You know, I didn't really care for a lot of

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Speaker 6: the luxury surveillance stuff, you know, the fake cgms that

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Speaker 6: you know. I'll never forget this woman telling someone right

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Speaker 6: next to me it's a it was a medical device

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Speaker 6: that when I asked, she looks at my attag and goes, no,

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Speaker 6: it's not a medical.

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Speaker 2: We had a beautiful moment where it was this like

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Speaker 2: it was like a set of smart goggles, which there

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Speaker 2: were a lot of that had like night vision, but

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Speaker 2: also it had like threat assessments. So the specific thing

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Speaker 2: they bragged is like it can help a police officer

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Speaker 2: identify if somebody has a gun. Right, And this was

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Speaker 2: right after we had gone to an AI security camera

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Speaker 2: that I had flipped off with both hands and it

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Speaker 2: had identified as a man giving the thumbs up. And

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Speaker 2: I don't feel great about it identifying the gun.

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Speaker 6: Luxury surveillance for health, luxury surveillance for air recognition. Also

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Speaker 6: like they had it in litter boxes and shit, don't

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Speaker 6: need that, really don't fucking need that. Why does the

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Speaker 6: letter box need to be connected? To the internet, and

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Speaker 6: why does he need a camera in it?

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Speaker 2: You know that does maybe think of a better world

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Speaker 2: where we have exactly as much money and focus on AI.

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Speaker 2: But it's all integrating it into cat focused products like

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Speaker 2: fifty dollars being poured into cattle.

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Speaker 5: Translate whatever your cat is saying into French perfectly.

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Speaker 2: Your cat can make deals with Chinese and by the way,

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Speaker 2: we've hooked him up to venture capital. We have an

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Speaker 2: open line soft bank.

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Speaker 6: Siri, why you know that I would love this translation.

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Speaker 6: Let's help my cat make some deals. Let's help me

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Speaker 6: figure out why or how he learned to open my door.

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Speaker 6: You know, things like this, But what we get an

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Speaker 6: am bullshit.

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Speaker 2: I want to see a guy a dressed as Steve

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Speaker 2: Jobs be like ladies and gentlemen. We have finally done it.

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Speaker 2: We have gotten across the concept of death to a cat.

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Speaker 2: Stand there mortality? Actually that like common ad where he's

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Speaker 2: talking about AI. But he's like, we.

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Speaker 5: Taught proofs to a dog, got turtle back on what

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Speaker 5: a dog would think.

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Speaker 2: About It was just a dog sitting at a table

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Speaker 2: smoking a cigarettes. The future. Mm hmm, Garrison, you're.

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Speaker 3: Up best of ces. I think was definitely the VLC

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Speaker 3: media booth the park where they they had like they

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Speaker 3: had big big traffic cones on their head, wearing them

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Speaker 3: like wizard hats with with huge cloaks.

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Speaker 2: They were dressed a wizards. They were dressed as wizards.

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Speaker 3: And we walked up to them and they said.

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Speaker 2: Let's let's start VLC folks. If you if you don't

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Speaker 2: know this, this was especially relevant to those of us

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Speaker 2: who pirated a lot. It's a media app that allows

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Speaker 2: you to basically play any kind of like any video,

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Speaker 2: idiophile yes, or audio file, and now it will automatically

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Speaker 2: give you subtitles to using local AI. That's not like

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Speaker 2: reaching to the cloud or anything to do it.

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Speaker 3: Because putting some titles on pirated media can sometimes be

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Speaker 3: really hard. So they said, we have something that analyzes

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Speaker 3: the audio that's being spoken in whatever media you're watching,

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Speaker 3: and we will.

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Speaker 2: Put some titles up for you.

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Speaker 3: We walked up and we're like, so what do you

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Speaker 3: have here? Like, we are not selling anything, We have

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Speaker 3: nothing to sell.

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Speaker 2: You in this beautiful they're fringe. So it was in

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Speaker 2: this like yeah, yeah, wonderful accents. I'm not going to

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Speaker 2: take the degree of like I don't give a fuck

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Speaker 2: about anything else of this stupid goddamn show that they

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Speaker 2: gave off. They exuded it.

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Speaker 3: And they're they're they're by far the coolest because of

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Speaker 3: something Robert you said to them.

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Speaker 2: I walked up and I was like, Velc's a very

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Speaker 2: popular app. They just crossed six billion downloads. I've been

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Speaker 2: using them for almost as long as you've been alive.

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Speaker 2: And I walked up and I was like, I've been

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Speaker 2: using your product for fifteen years in order to pirate media.

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Speaker 2: And they said, very nonchalantly, keep.

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Speaker 3: Going, keep it, keep going, keep doing that, keep doing that.

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Speaker 6: I'm obsessed.

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Speaker 4: Yeah, that's amazing.

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Speaker 5: All sad about this too, because, like I, it's a

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Speaker 5: good app. I have also used it. I saw the

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Speaker 5: guy in the hat and I was like, Oh, it's

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Speaker 5: the VLC from you know, from on your desktop. And

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Speaker 5: then I was like, that's that's stupid. I don't need

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Speaker 5: to talk to the man. He's wearing a hat and

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Speaker 5: a cape. And I'm glad that you followed through. As

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Speaker 5: a journalist. Pushed aside your instinct to be like, do

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Speaker 5: not approach stranger in a cape.

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Speaker 2: Garrison does not have that Answerry no, No. At some

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Speaker 2: point the contrary I feel a magnetic attraction. This is

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Speaker 2: why I keep an air tag on them. Great way

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Speaker 2: to get abducted.

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Speaker 3: I think similarly, obviously, all of the AI stuff for kids,

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Speaker 3: all of like the AI slop is like obviously bad.

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Speaker 3: We've talked about that a lot already. The other thing

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Speaker 3: that's like kind of like the worst is so much

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Speaker 3: what you said ed like a level of surveillance tech.

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Speaker 3: I tried out multiple a systems that are supposed to

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Speaker 3: like detect and predict behavior based on facial expressions or gesture,

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Speaker 3: and this is really tricky. There was one at Eureka Park.

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Speaker 3: It's creating company that's powered I believe b Samsung with

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Speaker 3: money and also they've access to like their training data.

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Speaker 3: They're called Visomatic And specifically why this exists. It is

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Speaker 3: a camera that you can put on a put on

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Speaker 3: a computer. It will it will detect where your face

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Speaker 3: is pointing and where your eyes are paying attention to.

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Speaker 3: And the reason why this exists is for online test taking.

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Speaker 3: It so people don't like look at their phone to

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Speaker 3: like to like cheat, So it at tracks where your

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Speaker 3: eyes are moving and if your eyes look down too much,

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Speaker 3: it's gonna flag it as someone's possibly cheating. So this

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Speaker 3: was obviously like introduced after the pandemic. There's a lot

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Speaker 3: a lot of online test taking. Samsung uses this tech

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Speaker 3: themselves for any kind of like online exams that they

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Speaker 3: as a company will put on, you know, whether it's

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Speaker 3: like for people, students, employees. But they also had like

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Speaker 3: other features where you could switch it. I assume it's

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Speaker 3: doing all the same work, it just is placed differently

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Speaker 3: on the monitor and instead of can you know, do

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Speaker 3: like object detection you know what you're wearing, and the

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Speaker 3: general like behavior analysis if you seem like you're behaving suspiciously,

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Speaker 3: which is something that we tried at the K booth,

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Speaker 3: which also a South Korean company, for their own like

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Speaker 3: like surveillance detection. But I asked Visomatic, like like what

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Speaker 3: kind of use cases do you see for this beyond

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Speaker 3: test taking? You know, like yeah, general surveillance, Like yeah,

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Speaker 3: we want to learn how to like predict or like

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Speaker 3: analyze potentially suspicious human behavior. As we were walking by

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Speaker 3: the s K version, one quite funny thing is as

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Speaker 3: I walked by it first, it first identified me as

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Speaker 3: a blonde woman holding a cup. It then changed and

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Speaker 3: said blonde person, which I think is pretty it's pretty.

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Speaker 2: Deep, very progressives, doing the opposite of a Facebook.

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Speaker 3: Yeah, it could sense the pronouns. It's like hmm, maybe

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Speaker 3: maybe not maybe not a woman, maybe not a blonde person.

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Speaker 3: But but yes, that was you know, something that was

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Speaker 3: like quite well done. Specifically the visomatic stuff, like very functional.

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Speaker 3: It could tell when I was looking at the screen,

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Speaker 3: when I was looking at my phone. It could tell

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Speaker 3: from like various various angles, like what what I was holding,

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Speaker 3: what I was looking at, where my attention was being directed.

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Speaker 1: Like it was.

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Speaker 3: It was very well done. It was very accurate. But

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Speaker 3: you know, possibly scary.

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Speaker 2: Well, speaking of possibly scary, the sponsors of this podcast

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Speaker 2: don't know who they are. Could be the Washington State

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Speaker 2: Highway Patrol again, in which case, thank you boys for

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Speaker 2: your noble service on our nation's roads. I'm not saying

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Speaker 2: that because I got pulled over the other week and

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Speaker 2: I'm really trying to fight a case right now. I

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Speaker 2: would never do that anyway. Thanks guys, and we're back.

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Speaker 2: Is it my turn? It is your turn?

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Speaker 3: Okay, So I'm going to introduce our special white woman

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Speaker 3: correspondents to give us some exciting breaking news in the

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Speaker 3: white woman tech development world.

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Speaker 4: Okay, so the first one is positive sure contexts. I'm

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Speaker 4: a transwoman.

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Speaker 7: And one of the boosts that was pretty interesting it

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Speaker 7: was this group were they French, Garrett, you remember.

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Speaker 3: I I you know they're they're They're European. They're called

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Speaker 3: el E ell E Health. It's ELI.

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Speaker 4: Anyways. This is a at home hormone tester, so it

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Speaker 4: is saliva base. It's like a little disposable package. Currently

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Speaker 4: they only advertise cortisol and progesterone, but they have plans

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Speaker 4: for estrade, isle and other hormones as well, testosterone as well.

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Speaker 4: Sorry and yeah, So you swab your mouth in the

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Speaker 4: morning or evening and then you wait, what was it like,

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Speaker 4: fifteen minutes, twenty minutes, and then you scan this little

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Speaker 4: like QR thing on the device and your phone calculates

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Speaker 4: what your levels are. And this has very interesting implications

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Speaker 4: for like the DIY hormone market or use case. I

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Speaker 4: started DIY and did my own like blood tests, but

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Speaker 4: a lot of like trans kids don't have access to that.

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Speaker 4: So this is a it's a good idea if it's

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Speaker 4: actually effective, Like we alln't have hands on yet, we

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Speaker 4: haven't tested it yet, but I would love to do

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Speaker 4: a comparison of like testing my own levels and then

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Speaker 4: trying this very interesting, very intriguing.

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Speaker 3: Yeah, we will certainly as soon as possible test this

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Speaker 3: compared to the regular like mail in blood tests, which

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Speaker 3: is like the current way to do it, but that

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Speaker 3: requires shipping your blood to a laboratory and that's maybe

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Speaker 3: not always the best or even like convenient. So being

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Speaker 3: able to test this just at home without shipping any

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Speaker 3: of your DNA to some random laboratory would be really

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Speaker 3: really cool.

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Speaker 4: Right, There's no insurance involved. This is completely supposedly close source.

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Speaker 2: From what y'all were telling me earlier today, when you

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Speaker 2: explained this to me, it sounded kind of like the

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Speaker 2: people making this have an understanding of the dangers inherit,

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Speaker 2: particularly to the trans community, and why they might want

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Speaker 2: to use this, and a focus on privacy. For that reason,

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Speaker 2: I didn't.

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Speaker 4: Press them on that because I don't know, I follow.

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Speaker 2: You know, wide variety of Yeah.

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Speaker 3: No, we tried to expect as much intel as possible

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Speaker 3: about kind of what their future plans are, but but

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Speaker 3: not specifically like in that level.

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Speaker 2: But privacy, like they seemed like they had of coursably good.

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Speaker 3: Understand of course, because it's because it's because it is

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Speaker 3: your own, like DNA and hormones, you know, like I,

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Speaker 3: I do not know this company is even thinking about

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Speaker 3: trans people if it is trans friendly, but it could

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Speaker 3: be used by trans people regardless.

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Speaker 2: Yeah, much like a glock exactly exactly.

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Speaker 4: The potential is great.

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Speaker 7: And then probably my least favorite goofs I have to

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Speaker 7: call out some other white women, my so cal boho

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Speaker 7: white women. It's evjects and has that spelled e V

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Speaker 7: E V J e C t okay?

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Speaker 4: And what this is?

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Speaker 7: Oh god, yes, this is a special plug for your

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Speaker 7: charging port of your EV. So the idea is a

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Speaker 7: nefarious party sees you and your fancy EV and approaches

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Speaker 7: you and you need a quick getaway their words, their words,

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Speaker 7: their words, by the way, like they see your fancy

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Speaker 7: car and your targets. So this device will like e jacks,

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Speaker 7: you can just drive away from the charge.

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Speaker 2: Leaving broken pieces of plastic both yes, the charger.

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Speaker 7: Like this is not single use. Yes, so yeah, all

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Speaker 7: those all those people targeting so caw white women.

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Speaker 5: This is finally someone is serving the community of people

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Speaker 5: that think that if you find a zip tie on

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Speaker 5: your car door handle, MS.

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Speaker 3: That was the first thing I said as soon as

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Speaker 3: soon as we walked away, I was like, this product

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Speaker 3: wins the Crulson Media Award for the most white Woman's

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Speaker 3: specificly right, like, if you see a slice of cheese

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Speaker 3: on your windshield.

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Speaker 2: You're already targeting right away.

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Speaker 3: This is this is that exact demographic of people who

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Speaker 3: think they're going to get trafficked in like your local

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Speaker 3: like olive garden parking lots.

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Speaker 8: Gang stalked Americans in the Tesla charging station in Brentwood, California,

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Speaker 8: where the average income is like in the eight figures.

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Speaker 2: I gotta say, though, you're being very unfair to them.

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Speaker 2: It was so nice of them to put down the

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Speaker 2: phone where they were doom scrolling TikTok, to look at

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Speaker 2: all of the different reasons their kids are going to

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Speaker 2: be abductive. They're talking about this.

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Speaker 5: Product, you know, they're like, some finally someone's gonna do

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Speaker 5: something about it, create a disposable piece of plastic.

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Speaker 6: You notice that guy is always sitting down in the

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Speaker 6: gym and the coffee shop and the gas station. This

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Speaker 6: is how he doesn't get it.

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Speaker 4: I'd be careful.

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Speaker 2: I feel like I could have upsold them, and like,

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Speaker 2: what if we put some explosives in this, you know,

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Speaker 2: really like keep off of the car, like a flashbacks

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Speaker 2: inside of it.

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Speaker 6: Called the police station and took a picture of him.

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Speaker 2: And someone scared. A lady driving a Vibe. That's one

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Speaker 2: of the electric cars.

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Speaker 3: Right, It's like a crocodile tail. As as it a jects,

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Speaker 3: it whips around, mobilizing anyone in the vicinity.

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Speaker 2: We're calling it the Iguana, and it does with enough

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Speaker 2: force to break a grown man's tyle. Yes, okay, David Roth.

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Speaker 5: So there's a lot of I guess I gathered less

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Speaker 5: than in years past that this was at one point

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Speaker 5: like basically a car show. There is not a lot

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Speaker 5: of transit stuff this time around. I didn't get to

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Speaker 5: see very much of it, but I did have. I

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Speaker 5: guess this is both my best and my worst experience,

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Speaker 5: the most powerful transit experience of my life.

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Speaker 2: So I live in New York City.

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Speaker 5: I take the subway pretty much everywhere I go, and

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Speaker 5: you know, it has its ups and downs. For the

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Speaker 5: most part, it's good. It moves like twelve hundred people

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Speaker 5: through a tunnel of thirty odd miles an hour, and

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Speaker 5: for the most part, everybody, everybody else alone or you know,

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Speaker 5: watch its videos on their phone and stuff. But I

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Speaker 5: knew that there had to be a better way, and

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Speaker 5: at the Las Vegas Convention Center I got to experience it.

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Speaker 5: You're familiar Elon Musk, serial entrepreneur. Yeah, so he invented

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Speaker 5: something called the hyper loop, which is a car that

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Speaker 5: goes through a tunnel that's the exact same size as

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Speaker 5: the car at eleven miles an hour and it takes

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Speaker 5: there's someone has to drive it, and also someone has

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Speaker 5: to help you get into the car, but you can

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Speaker 5: fit up to three additional people into the car, so

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Speaker 5: that ratios everyone, I know, Yes, right, so yeah, you

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Speaker 5: got two people moving three people two hundred yards at

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Speaker 5: the speed of like a brisk walk.

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Speaker 2: Now, David, this kind of technology wasn't possible just a

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Speaker 2: few decades, right exactly. I mean this was the sort

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Speaker 2: of thing.

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Speaker 5: Though there had been tunnels, they were mostly used by animals,

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Speaker 5: voles miners, yes, right, and thought yeah, and that was

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Speaker 5: mostly for pirates in at least one movie I saw recently, Yes,

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Speaker 5: but no one had thought about it as a transit

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Speaker 5: sort of thing. It was more of a like a

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Speaker 5: place where you would go if you needed to get

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Speaker 5: copper and of course, but in this case, so this

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Speaker 5: is like where it's good to have and this I

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Speaker 5: guess every ces is like this. This was my first

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Speaker 5: to be reminded that there are visionaries out there who

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Speaker 5: are like, what if you put car through hole? What

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Speaker 5: if instead of a thing that moves multiple people at once,

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Speaker 5: you had a thing that took exactly the same number

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Speaker 5: of people to move that number of people slightly more

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Speaker 5: than Yes, Yeah, so that was cool. I mean it's

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Speaker 5: just like fun to see like where this stuff is going.

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Speaker 5: And I really wonder if we're not going to start

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Speaker 5: seeing things like cars on the streets of American cities,

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Speaker 5: you know, like it could be okay, David, I mean

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Speaker 5: most of the obviously this is something we'd going last

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Speaker 5: there was like three or four good things you all

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Speaker 5: said them. I thought the accessibility tech stuff was the

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Speaker 5: the stuff that made me feel good about what was

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Speaker 5: going on here, and there was a great deal of

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Speaker 5: stuff that made me feel like pretty bad about what

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Speaker 5: was going on. Yeah, you're up to and including like

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Speaker 5: the survey and stuff beyond the you know, like advanced

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Speaker 5: Samsung powered snitch tech so that nobody whatever your boss

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Speaker 5: can tell if you're really looking at the.

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Speaker 2: Zoom that you're on.

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Speaker 5: Don't really love that personally, But for me, the a

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Speaker 5: lot of the smart home stuff is a real drag,

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Speaker 5: like just in the sense that.

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Speaker 2: It clearly, first of all, beyond being.

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Speaker 5: Like sort of unnecessary, there's a level of just willingly

440
00:22:24,960 --> 00:22:29,200
Speaker 5: giving over your agency over the small moments that make

441
00:22:29,800 --> 00:22:31,800
Speaker 5: you know human life human life, and just being like

442
00:22:31,840 --> 00:22:33,960
Speaker 5: I would really love it if just like an artificial

443
00:22:33,960 --> 00:22:36,880
Speaker 5: intelligence could pick my pants out for the day. I'll

444
00:22:36,880 --> 00:22:39,960
Speaker 5: simply stand here waiting for that to happen. Yeah, just

445
00:22:40,119 --> 00:22:43,600
Speaker 5: fucking grim actually, like didn't really care for it. I

446
00:22:43,600 --> 00:22:46,119
Speaker 5: feel like you gotta like, what are you using that

447
00:22:46,320 --> 00:22:46,879
Speaker 5: time to do?

448
00:22:47,960 --> 00:22:50,680
Speaker 2: Yeah? What are you getting? What are you optimizing from

449
00:22:50,680 --> 00:22:53,680
Speaker 2: yourself by not having like pieces of like the thing

450
00:22:53,720 --> 00:22:57,800
Speaker 2: that a human being does, which is like pick your clothes, right? Yeah,

451
00:22:58,040 --> 00:22:59,520
Speaker 2: I wonder how you feel about this because you and

452
00:22:59,560 --> 00:23:01,240
Speaker 2: I have been going to cees from and I guess

453
00:23:01,240 --> 00:23:04,120
Speaker 2: a broadly similar number of years. Like I've never been

454
00:23:04,119 --> 00:23:04,520
Speaker 2: to CEO.

455
00:23:04,560 --> 00:23:06,320
Speaker 5: Oh really this is your no, I'm a fucking sports

456
00:23:06,320 --> 00:23:08,920
Speaker 5: writer man, like this is out here because Ed got

457
00:23:08,920 --> 00:23:10,119
Speaker 5: me a folding head.

458
00:23:10,240 --> 00:23:12,800
Speaker 2: I have like the dead eyedes veterans. Oh yeah, well

459
00:23:12,840 --> 00:23:13,920
Speaker 2: I'm very tired. Yeah.

460
00:23:14,200 --> 00:23:16,119
Speaker 5: This is the thing with like I think, as far

461
00:23:16,119 --> 00:23:18,080
Speaker 5: as I can tell, it seems like it's a loop

462
00:23:18,600 --> 00:23:20,840
Speaker 5: where you more or less like you start out it's

463
00:23:20,880 --> 00:23:22,959
Speaker 5: too much, you get big I right away, and then

464
00:23:23,000 --> 00:23:25,160
Speaker 5: you just sort of feel zombie fined. But then we

465
00:23:25,240 --> 00:23:27,560
Speaker 5: have talked to people over the last few days that

466
00:23:27,600 --> 00:23:29,679
Speaker 5: are like, you know, I remember like fourteen ces as

467
00:23:29,680 --> 00:23:33,560
Speaker 5: ago that was pretty good, like and they're also tired

468
00:23:33,600 --> 00:23:34,960
Speaker 5: and also deranged by this point.

469
00:23:35,040 --> 00:23:37,400
Speaker 2: Yeah, the first time someone showed me a tablet computer,

470
00:23:37,480 --> 00:23:40,040
Speaker 2: I was like, oh man, science has given me everything

471
00:23:40,119 --> 00:23:42,439
Speaker 2: I want, like and I guess it's I don't know.

472
00:23:42,640 --> 00:23:45,239
Speaker 2: Do you remember like when the last one was that

473
00:23:45,320 --> 00:23:52,160
Speaker 2: you felt like even sort of that stirring Yeah, uh twenty,

474
00:23:52,320 --> 00:23:55,520
Speaker 2: like eleven or twelve when they did I got to

475
00:23:55,520 --> 00:23:58,080
Speaker 2: see inductive charging of a car for the first time,

476
00:23:58,119 --> 00:24:00,520
Speaker 2: and it like was so big. The Las Vegas Convention

477
00:24:00,680 --> 00:24:04,120
Speaker 2: Center is like as the size of a city, and

478
00:24:04,160 --> 00:24:07,320
Speaker 2: seeing like the lights in that whole convention center dim

479
00:24:07,400 --> 00:24:13,480
Speaker 2: as they were doing it was very inefficient because yeah,

480
00:24:13,520 --> 00:24:15,240
Speaker 2: but that was just like that was like, oh wow,

481
00:24:15,280 --> 00:24:18,560
Speaker 2: this is kind of like amazing that this is even possible,

482
00:24:18,880 --> 00:24:22,920
Speaker 2: but yeah, not really sense, not really sense. That's why

483
00:24:22,960 --> 00:24:25,640
Speaker 2: I'm really glad that there's lights in the hyper loop tunnel. Yeah,

484
00:24:25,720 --> 00:24:29,520
Speaker 2: otherwise it'd be unless something goes wrong. It started to seem

485
00:24:29,520 --> 00:24:32,639
Speaker 2: kind of grim otherwise. Well, I the smart home stuff

486
00:24:32,680 --> 00:24:34,520
Speaker 2: is interesting because that that has been as long as

487
00:24:34,520 --> 00:24:36,800
Speaker 2: I've been going to these they've been trying to sell

488
00:24:36,840 --> 00:24:39,920
Speaker 2: people on smart homes, and I don't think I've ever

489
00:24:39,960 --> 00:24:43,280
Speaker 2: gotten a good idea of what a smart home is

490
00:24:43,320 --> 00:24:45,479
Speaker 2: that I think a person would want. I can think

491
00:24:45,520 --> 00:24:47,960
Speaker 2: of two things a person would want right. One of

492
00:24:47,960 --> 00:24:50,200
Speaker 2: them is, it would be nice if like I didn't

493
00:24:50,200 --> 00:24:52,199
Speaker 2: have to think about playing music. I could just like

494
00:24:52,480 --> 00:24:54,359
Speaker 2: tell my house to play the music I wanted and

495
00:24:54,400 --> 00:24:56,280
Speaker 2: it would play the music and I could hear it

496
00:24:56,280 --> 00:24:57,920
Speaker 2: everywhere and I didn't have to fuss with a bunch

497
00:24:57,960 --> 00:25:00,400
Speaker 2: of shit. And the second is what a I'm coming

498
00:25:00,400 --> 00:25:02,640
Speaker 2: home from vacation and my house is cold, it would

499
00:25:02,640 --> 00:25:04,280
Speaker 2: be nice to turn on the heat or like an

500
00:25:04,320 --> 00:25:07,680
Speaker 2: hour before I get home. And one of those things

501
00:25:07,720 --> 00:25:10,000
Speaker 2: you'd use every day. And one of those things is

502
00:25:10,040 --> 00:25:11,840
Speaker 2: not really a viable to base a business off of.

503
00:25:11,920 --> 00:25:14,359
Speaker 2: But like they keep trying to find new ways to

504
00:25:14,400 --> 00:25:17,160
Speaker 2: stick computers in my house. And I don't know, does

505
00:25:17,160 --> 00:25:18,920
Speaker 2: anyone else have anything they want out of a fucking

506
00:25:18,920 --> 00:25:19,840
Speaker 2: smart home? No?

507
00:25:20,000 --> 00:25:22,359
Speaker 5: I mean, I like, it's not an accident that my

508
00:25:22,480 --> 00:25:24,880
Speaker 5: apartment is basically going to be in the year two

509
00:25:24,920 --> 00:25:27,400
Speaker 5: thousand and five forever. Like, I mean, it's it's expensive

510
00:25:27,440 --> 00:25:28,679
Speaker 5: to do all this stuff. This is the bit that

511
00:25:29,200 --> 00:25:31,160
Speaker 5: with so many of these demos, like just you start

512
00:25:31,200 --> 00:25:35,760
Speaker 5: to notice how incredibly grandiose the residences in which all

513
00:25:35,800 --> 00:25:38,199
Speaker 5: of this stuff is being sort of like postulated as

514
00:25:38,240 --> 00:25:42,240
Speaker 5: being useful. Is it's like the like Lexus December to

515
00:25:42,359 --> 00:25:44,200
Speaker 5: Remember sales event type.

516
00:25:44,080 --> 00:25:46,840
Speaker 2: Energy just a big fuck what lives do you live? Yeah?

517
00:25:46,840 --> 00:25:49,800
Speaker 5: This also we've talked about this on Ed's show that

518
00:25:49,960 --> 00:25:51,879
Speaker 5: like there's a lot of stuff here that feels like

519
00:25:51,880 --> 00:25:54,560
Speaker 5: like the first fifteen minutes of a George Romero movie,

520
00:25:54,600 --> 00:25:57,119
Speaker 5: like just getting you set for eventually there's going to

521
00:25:57,160 --> 00:25:59,280
Speaker 5: be a lot of like, you know, disembowelings and hideous

522
00:25:59,280 --> 00:26:02,720
Speaker 5: shambling zombie. Yeah, and smart home not a bad horror

523
00:26:02,720 --> 00:26:06,120
Speaker 5: movie concept. I don't think it's a great consumer concept.

524
00:26:06,240 --> 00:26:10,639
Speaker 2: Yeah, speaking of great consumer concepts, the ads for this podcast,

525
00:26:20,680 --> 00:26:22,600
Speaker 2: all right, we're back and I want to close this

526
00:26:22,680 --> 00:26:25,399
Speaker 2: out by asking everybody a question, which is, how do

527
00:26:25,440 --> 00:26:27,440
Speaker 2: you feel about where tech is going?

528
00:26:29,040 --> 00:26:29,960
Speaker 6: I think we're going to hell.

529
00:26:30,960 --> 00:26:33,480
Speaker 2: I think we are getting wrapped it up.

530
00:26:33,680 --> 00:26:39,080
Speaker 6: Very fast into the sweet abyss. I'm worried about the

531
00:26:39,119 --> 00:26:42,760
Speaker 6: fact that so much of the tech is oriented around surveillance,

532
00:26:43,720 --> 00:26:49,920
Speaker 6: around precursor forms of prepping, around very soft forms of

533
00:26:50,040 --> 00:26:55,240
Speaker 6: like perfection and optimization that rhyme with eugenics. I'm like,

534
00:26:55,680 --> 00:26:57,480
Speaker 6: I don't like the direction that a lot of this

535
00:26:57,520 --> 00:27:01,159
Speaker 6: stuff is going. But also there I don't know what

536
00:27:01,280 --> 00:27:02,919
Speaker 6: to do about it because so much of it is

537
00:27:03,600 --> 00:27:09,040
Speaker 6: driven by private interest, right, It's like venture capitalists, well

538
00:27:09,119 --> 00:27:12,879
Speaker 6: capitalized individuals and firms that they're connected to decide what

539
00:27:12,960 --> 00:27:15,880
Speaker 6: we get to get pushed and these corporations, you know.

540
00:27:16,240 --> 00:27:18,760
Speaker 2: Yeah, the nature of like you can you can really

541
00:27:18,760 --> 00:27:21,520
Speaker 2: tell that a lot of like the health products are

542
00:27:21,600 --> 00:27:25,240
Speaker 2: very optimized for like rich tech executives. Like there's a

543
00:27:25,240 --> 00:27:27,240
Speaker 2: lot of sleep products that all relied on you being

544
00:27:27,280 --> 00:27:30,679
Speaker 2: willing to like bathe yourself in speakers, playing benaural beats

545
00:27:30,680 --> 00:27:33,680
Speaker 2: while you slept, and like a different devices measure you're

546
00:27:33,760 --> 00:27:35,600
Speaker 2: like do an ECG And it's like I don't know.

547
00:27:36,040 --> 00:27:37,720
Speaker 2: My aunt's not going to do that.

548
00:27:38,000 --> 00:27:40,000
Speaker 6: Oh yeah, you know, like I was, you know, I was.

549
00:27:40,280 --> 00:27:42,080
Speaker 6: I took with my partner about this. They have type

550
00:27:42,080 --> 00:27:44,439
Speaker 6: one diabetes, they have a CGM, They use it constantly,

551
00:27:44,520 --> 00:27:46,560
Speaker 6: and they're We've been talking about and thinking about writing

552
00:27:46,600 --> 00:27:49,520
Speaker 6: about how there've been a crop of devices that are

553
00:27:49,560 --> 00:27:51,600
Speaker 6: like trying to push onto this idea that you need

554
00:27:51,680 --> 00:27:55,800
Speaker 6: to have close monitoring of it to preempt if you

555
00:27:55,840 --> 00:27:58,640
Speaker 6: are going to be prediabetic, or to optimize what you're

556
00:27:58,640 --> 00:28:01,000
Speaker 6: eating throughout the day, but that you know, when you

557
00:28:01,040 --> 00:28:04,480
Speaker 6: actually dig into what they're doing, it's like part of

558
00:28:04,520 --> 00:28:07,080
Speaker 6: this track of rhetoric where it's like whoa, you know,

559
00:28:07,160 --> 00:28:09,479
Speaker 6: if your sugar slightly goes out, it's because you're being

560
00:28:09,520 --> 00:28:11,320
Speaker 6: a bad person. It's because you're eating the way that

561
00:28:11,359 --> 00:28:13,919
Speaker 6: you shouldn't. It's because there's a moral failing or character

562
00:28:13,920 --> 00:28:16,399
Speaker 6: failing there that this tech can help purify you of

563
00:28:16,440 --> 00:28:18,280
Speaker 6: and you can be your best self, which is really

564
00:28:18,359 --> 00:28:20,760
Speaker 6: just like not large.

565
00:28:20,560 --> 00:28:21,400
Speaker 3: You know, And.

566
00:28:23,119 --> 00:28:25,960
Speaker 6: I feel that sort of rhetoric lurking behind a lot

567
00:28:25,960 --> 00:28:30,040
Speaker 6: of the biometric surveillance stuff, even though there are applications

568
00:28:30,040 --> 00:28:30,560
Speaker 6: that are not that.

569
00:28:30,800 --> 00:28:33,320
Speaker 2: Yeah, you know, it's kind of focused on like the sin,

570
00:28:33,480 --> 00:28:35,840
Speaker 2: the health sins that you're committing. We spend a decent

571
00:28:35,840 --> 00:28:37,919
Speaker 2: amount of this week hanging out with a Catholic priest,

572
00:28:37,960 --> 00:28:40,440
Speaker 2: and I do feel like several tech companies were the

573
00:28:40,440 --> 00:28:42,000
Speaker 2: ones trying to sell us indulgences.

574
00:28:42,840 --> 00:28:48,680
Speaker 3: Right, yeah, yeah, all right, gare There's small improvements for

575
00:28:48,840 --> 00:28:51,400
Speaker 3: consumer tech, right this is a very consumer base where

576
00:28:51,440 --> 00:28:54,240
Speaker 3: it's supposed to be a consumer based tech show. There's

577
00:28:54,320 --> 00:28:58,280
Speaker 3: products like these shocks, headphones, which every year get a

578
00:28:58,320 --> 00:29:01,680
Speaker 3: little bit better. I try to conducting headphones last year,

579
00:29:02,160 --> 00:29:03,320
Speaker 3: which are very good.

580
00:29:03,560 --> 00:29:07,160
Speaker 2: They work underwater if you're deaf in an air music

581
00:29:07,360 --> 00:29:08,440
Speaker 2: the way you used to be able to.

582
00:29:08,520 --> 00:29:11,360
Speaker 3: Yeah, very cool stuff. This year they have what they

583
00:29:11,360 --> 00:29:14,440
Speaker 3: called air conductive. I don't quite know how it works,

584
00:29:14,720 --> 00:29:16,680
Speaker 3: but it does work. I can hear it if you're

585
00:29:16,680 --> 00:29:19,080
Speaker 3: standing like two three feet away. There's no sound bleed,

586
00:29:19,320 --> 00:29:21,400
Speaker 3: but I hear music in the middle of my head

587
00:29:21,680 --> 00:29:24,080
Speaker 3: despite having to not put an earbud actually like in

588
00:29:24,080 --> 00:29:27,840
Speaker 3: my ear. They're super useful. They work greatly, really good

589
00:29:27,920 --> 00:29:28,960
Speaker 3: sound quality, durable.

590
00:29:28,960 --> 00:29:30,760
Speaker 2: I'm on year two of the same pair that I

591
00:29:30,840 --> 00:29:34,680
Speaker 2: run with every single day, like sweat rain. Great products.

592
00:29:34,680 --> 00:29:36,240
Speaker 2: It's like small improvements.

593
00:29:36,320 --> 00:29:40,520
Speaker 3: Right, It's not necessarily like revolutionizing hearing, but it's it's

594
00:29:40,800 --> 00:29:44,880
Speaker 3: very very small improvements. Where As the other kind of big,

595
00:29:45,040 --> 00:29:48,480
Speaker 3: big trend, which isn't necessarily like holly consumer based. It's

596
00:29:48,560 --> 00:29:50,800
Speaker 3: kind of what these larger companies are trying to move towards.

597
00:29:51,760 --> 00:29:57,400
Speaker 3: Is I feel like they're trying to replace friendship with

598
00:29:58,160 --> 00:30:01,720
Speaker 3: this form of like technology and like AI enable technology.

599
00:30:02,000 --> 00:30:04,080
Speaker 3: You used to have friends to get recommended new music.

600
00:30:04,160 --> 00:30:06,120
Speaker 3: You used to have like friends to like tell you

601
00:30:06,120 --> 00:30:08,040
Speaker 3: about new stuff that they're interested in.

602
00:30:08,760 --> 00:30:09,280
Speaker 2: No longer.

603
00:30:09,320 --> 00:30:10,800
Speaker 3: Now now you have an AI agent that.

604
00:30:10,760 --> 00:30:11,880
Speaker 2: Can do that for you.

605
00:30:11,360 --> 00:30:14,960
Speaker 3: You you don't need you don't need friends to help

606
00:30:15,040 --> 00:30:17,840
Speaker 3: kind of talk about you know, you had you had

607
00:30:17,880 --> 00:30:21,320
Speaker 3: a rough breakup. Instead, you can have a short term replacement.

608
00:30:21,400 --> 00:30:24,200
Speaker 3: Using AI, you can have a friend replacement of a

609
00:30:24,240 --> 00:30:27,120
Speaker 3: girlfriend replacement. It's all these things that are trying to

610
00:30:27,200 --> 00:30:29,800
Speaker 3: like replace the core concept of friendship, even as like

611
00:30:29,800 --> 00:30:32,680
Speaker 3: an as even as like a baby, even as a toddler.

612
00:30:33,160 --> 00:30:35,520
Speaker 3: Your first friend doesn't need to be people you meet outside.

613
00:30:35,720 --> 00:30:37,920
Speaker 3: It can be this little hovering robot you have in

614
00:30:37,960 --> 00:30:40,760
Speaker 3: the living room that can also organize your fridge, tell

615
00:30:40,800 --> 00:30:44,680
Speaker 3: you what to tell you what you'll roll around your

616
00:30:44,680 --> 00:30:47,240
Speaker 3: house the middle of the night with with cameras and

617
00:30:47,240 --> 00:30:50,360
Speaker 3: that could be your first friend. It's replacing the core

618
00:30:50,440 --> 00:30:54,120
Speaker 3: concept of friendship. It's this move towards complete optimization of

619
00:30:54,200 --> 00:30:57,200
Speaker 3: every aspect of human life, because as smooth as possible,

620
00:30:57,360 --> 00:30:59,440
Speaker 3: that completely ignores like what it means to be human.

621
00:30:59,520 --> 00:31:02,560
Speaker 2: It's the fast saying difference between that elder care robot

622
00:31:02,640 --> 00:31:04,560
Speaker 2: el e Q, which was clearly a man with a

623
00:31:04,600 --> 00:31:07,120
Speaker 2: tremendous amount of empathy trying to design a device to

624
00:31:07,200 --> 00:31:09,480
Speaker 2: help people, and what I usually see with AI, which

625
00:31:09,520 --> 00:31:12,680
Speaker 2: is trying to design a device to remove the need

626
00:31:12,720 --> 00:31:15,280
Speaker 2: for human empathy. Like I went to a there was

627
00:31:15,320 --> 00:31:19,040
Speaker 2: a VET app called Laika that's like chat GPT for veterinarians,

628
00:31:19,320 --> 00:31:20,880
Speaker 2: and they were like, yeah, you know what, most of

629
00:31:20,880 --> 00:31:23,600
Speaker 2: it we focused initially on like technical questions, so like

630
00:31:23,640 --> 00:31:25,719
Speaker 2: if I have these symptoms, what can that mean? But

631
00:31:25,760 --> 00:31:27,920
Speaker 2: what Vet's kept asking us is like, we would really

632
00:31:27,960 --> 00:31:29,640
Speaker 2: like advice on how to talk to people that their

633
00:31:29,680 --> 00:31:31,680
Speaker 2: pets are going to die. And I was like, do

634
00:31:31,720 --> 00:31:34,880
Speaker 2: you are vetts not getting out of vet school because

635
00:31:34,920 --> 00:31:37,360
Speaker 2: that's like that's a big part of being a vet,

636
00:31:37,840 --> 00:31:40,200
Speaker 2: Like do they need chat GPT for this.

637
00:31:40,360 --> 00:31:43,080
Speaker 3: I saw this other company that was like it was

638
00:31:43,120 --> 00:31:46,160
Speaker 3: designed to help you get over the loss of your pet,

639
00:31:46,400 --> 00:31:48,560
Speaker 3: where you could you could pump tons of photos of

640
00:31:48,600 --> 00:31:53,040
Speaker 3: your pet AI into this AI generator and it will

641
00:31:53,080 --> 00:31:56,200
Speaker 3: generate new images and this is proven to help you

642
00:31:56,240 --> 00:31:59,760
Speaker 3: move on from loss. Which is literally a Nathan Fielder

643
00:32:00,520 --> 00:32:05,160
Speaker 3: from like seven years ago, seven years ago, and like, no,

644
00:32:05,520 --> 00:32:08,000
Speaker 3: you should talk with your friends about that. That's why

645
00:32:08,040 --> 00:32:10,200
Speaker 3: you are a human. That's how you can move on

646
00:32:10,320 --> 00:32:14,520
Speaker 3: from loss. You have to make new connections. Poorly AI

647
00:32:14,720 --> 00:32:17,600
Speaker 3: generated images of your cat aren't going to help you

648
00:32:17,680 --> 00:32:23,400
Speaker 3: move on, Like what why? Anyway, Replacing friendship is the

649
00:32:23,480 --> 00:32:24,960
Speaker 3: thing that I see a lot of the tech world

650
00:32:25,000 --> 00:32:27,280
Speaker 3: wanting to do, maybe because they don't really understand real

651
00:32:27,360 --> 00:32:32,200
Speaker 3: human relationships that aren't like innately transactional. I'm not sure,

652
00:32:32,240 --> 00:32:34,480
Speaker 3: but that is like a huge trend that I've seen

653
00:32:34,520 --> 00:32:35,720
Speaker 3: multiple multiple people mention.

654
00:32:36,200 --> 00:32:40,040
Speaker 7: All right, Zi, So I've worked in this industry for

655
00:32:40,120 --> 00:32:43,680
Speaker 7: like three years now, and this is my first big convention,

656
00:32:44,520 --> 00:32:47,719
Speaker 7: and I would say this is just affirmed pretty much

657
00:32:47,760 --> 00:32:51,920
Speaker 7: all of my disillusions with the tech world, and most

658
00:32:51,920 --> 00:32:56,520
Speaker 7: of it's just nonsense. And maybe the postive people are

659
00:32:56,520 --> 00:32:57,400
Speaker 7: onto some stuff.

660
00:32:59,080 --> 00:33:01,360
Speaker 2: Well you say that, but I really do think vera

661
00:33:01,440 --> 00:33:05,480
Speaker 2: dox is gonna revolutionize the way in which mysterious fogs

662
00:33:05,560 --> 00:33:10,520
Speaker 2: kill large numbers of Maybe, but don't name it something

663
00:33:10,600 --> 00:33:12,200
Speaker 2: so sinister. Yeah.

664
00:33:12,000 --> 00:33:13,480
Speaker 5: Yeah, if you were to be like, this is the

665
00:33:13,480 --> 00:33:15,480
Speaker 5: thing that keeps your apples fresh for a long time,

666
00:33:15,520 --> 00:33:16,160
Speaker 5: that would be great.

667
00:33:16,200 --> 00:33:18,320
Speaker 2: I would just don't call it apple fresh. Yes, but

668
00:33:18,400 --> 00:33:19,320
Speaker 2: call it apple fresh.

669
00:33:20,320 --> 00:33:21,920
Speaker 3: By the way, you should listen to You should listen

670
00:33:21,960 --> 00:33:25,240
Speaker 3: to Better Offline to hear context for veradox, which we

671
00:33:25,240 --> 00:33:27,680
Speaker 3: discussed in the last episode of our daily Cees coverage

672
00:33:27,720 --> 00:33:31,560
Speaker 3: over there with the wonderful Edixitron. But essentially, evera dox

673
00:33:31,640 --> 00:33:35,400
Speaker 3: is this missed. They get sprayed on produce, which allegedly

674
00:33:35,480 --> 00:33:41,320
Speaker 3: helps it stay shelf stable for a few more days exactly.

675
00:33:41,640 --> 00:33:44,440
Speaker 2: So maybe that shelf stable myst will also translate to

676
00:33:44,520 --> 00:33:45,320
Speaker 2: waking up the dead.

677
00:33:45,520 --> 00:33:48,080
Speaker 5: Possibly, But you don't know that it's gonna do. You

678
00:33:48,120 --> 00:33:50,480
Speaker 5: don't know that it's not going to do right right areas.

679
00:33:50,200 --> 00:33:54,640
Speaker 2: We as a journalist, that's sorry job to ask these questions.

680
00:33:54,680 --> 00:33:57,640
Speaker 3: And we discussed that way more in depth on Better Offline.

681
00:33:57,680 --> 00:34:00,320
Speaker 5: Yeah, we do discuss whether the ability to bring leaf

682
00:34:00,400 --> 00:34:03,680
Speaker 5: led us back to life does have any repercussions in

683
00:34:03,720 --> 00:34:06,720
Speaker 5: a pet cemetery sort of way for your possibly dead

684
00:34:06,760 --> 00:34:07,200
Speaker 5: loved ones.

685
00:34:08,280 --> 00:34:11,560
Speaker 2: David, it's me sorry. A lot of good points.

686
00:34:11,600 --> 00:34:13,919
Speaker 5: I mean, I think Gary never both made the point

687
00:34:13,960 --> 00:34:17,960
Speaker 5: about the sort of sociopathic like thread of a lot

688
00:34:17,960 --> 00:34:20,120
Speaker 5: of this just sort of like an inability to understand

689
00:34:20,120 --> 00:34:23,960
Speaker 5: not just what people might want from a technology, I think,

690
00:34:23,960 --> 00:34:26,560
Speaker 5: which is to feel not I mean, there probably are

691
00:34:26,600 --> 00:34:28,439
Speaker 5: people I imagine that. It's like if you were the guy,

692
00:34:28,719 --> 00:34:31,600
Speaker 5: the dude that's like trying to age himself backwards. You know,

693
00:34:31,760 --> 00:34:36,560
Speaker 5: he's like Brian Johnson, Brian Johnson, we love Brian, Yeah,

694
00:34:36,600 --> 00:34:38,839
Speaker 5: but he like I feel like he would have been

695
00:34:39,320 --> 00:34:41,960
Speaker 5: walking through this clapping his hands with delight.

696
00:34:44,200 --> 00:34:47,799
Speaker 2: Day king his son's blood yeah, time for Yeah, it's

697
00:34:47,800 --> 00:34:51,560
Speaker 2: a it's I drink his son's blood pretty Ray's And

698
00:34:51,600 --> 00:34:52,239
Speaker 2: it's not bad the.

699
00:34:52,239 --> 00:34:55,480
Speaker 5: High quality plot, but that it felt like it was

700
00:34:55,520 --> 00:34:57,000
Speaker 5: that that there was a lot of this sort of

701
00:34:57,040 --> 00:35:02,120
Speaker 5: like an optimization unto like trans sending being human at all.

702
00:35:02,200 --> 00:35:04,920
Speaker 5: And I don't think I mean again, there probably are

703
00:35:04,960 --> 00:35:07,399
Speaker 5: people that want that. They certainly have money. I don't

704
00:35:07,440 --> 00:35:11,600
Speaker 5: imagine that I think what most people would like. I mean,

705
00:35:11,600 --> 00:35:13,760
Speaker 5: then you don't expect technology to make you feel more human.

706
00:35:13,920 --> 00:35:15,720
Speaker 5: But something I've been thinking.

707
00:35:15,560 --> 00:35:16,080
Speaker 2: About a lot.

708
00:35:16,320 --> 00:35:18,720
Speaker 5: We're talking about this a lot on a better offline,

709
00:35:18,760 --> 00:35:22,680
Speaker 5: but there's a passivity that a lot of this sort

710
00:35:22,680 --> 00:35:25,440
Speaker 5: of seems to be forcing onto people where you're just like,

711
00:35:25,520 --> 00:35:27,880
Speaker 5: sort of things are happening to you that make your

712
00:35:27,920 --> 00:35:30,560
Speaker 5: life more efficient and convenient. And I don't think that

713
00:35:31,360 --> 00:35:34,520
Speaker 5: I want that. I mean, I'm older than and poorer

714
00:35:34,520 --> 00:35:37,600
Speaker 5: than the you know, market that I think they're aiming

715
00:35:37,640 --> 00:35:40,520
Speaker 5: for with this, But it's certainly old enough to remember,

716
00:35:40,640 --> 00:35:43,239
Speaker 5: as you said, like finding music, like that's a thing

717
00:35:43,320 --> 00:35:45,120
Speaker 5: that yeah, you know, your friends tell you about it.

718
00:35:45,160 --> 00:35:47,880
Speaker 5: And in my case, I mean again just being in

719
00:35:47,880 --> 00:35:50,120
Speaker 5: my middle age, you like go to a store and

720
00:35:50,120 --> 00:35:53,280
Speaker 5: you flip through shit, like there's a distinction between finding

721
00:35:53,320 --> 00:35:56,440
Speaker 5: something and being given something or being fed to something

722
00:35:56,480 --> 00:35:58,440
Speaker 5: like you're a foa grag goose and it's just getting

723
00:35:58,480 --> 00:36:01,680
Speaker 5: sort of piped into your brain and life and being.

724
00:36:01,920 --> 00:36:04,560
Speaker 5: And I think it's an important distinction. I think that

725
00:36:04,680 --> 00:36:08,000
Speaker 5: little bit of agency of having some sense of doing

726
00:36:08,080 --> 00:36:10,359
Speaker 5: the things that you want to do, like I would

727
00:36:10,400 --> 00:36:13,440
Speaker 5: imagine that well, I don't have to imagine technology that

728
00:36:13,520 --> 00:36:16,080
Speaker 5: helps you do that as opposed to doing it for you.

729
00:36:16,160 --> 00:36:19,360
Speaker 5: I think that I don't want stuff that makes me

730
00:36:19,400 --> 00:36:21,520
Speaker 5: feel less human. I don't want stuff that makes me

731
00:36:21,560 --> 00:36:24,400
Speaker 5: feel more like I'm in a fucking matrix pod. And

732
00:36:24,440 --> 00:36:27,320
Speaker 5: I think that a lot of the stuff that was

733
00:36:27,360 --> 00:36:32,120
Speaker 5: out there seemed targeted towards the matrix pod dwelling community.

734
00:36:32,840 --> 00:36:33,040
Speaker 1: Yeah.

735
00:36:33,040 --> 00:36:35,080
Speaker 2: I think that's that's about the best line we could

736
00:36:35,120 --> 00:36:38,839
Speaker 2: go out on, Like, that's that's yeah, enailed it. Thanks.

737
00:36:38,880 --> 00:36:40,839
Speaker 2: I thought I crushed that one. Yeah you did. You did,

738
00:36:41,200 --> 00:36:41,879
Speaker 2: great job, Dave.

739
00:36:42,160 --> 00:36:43,640
Speaker 3: Where can people find your work day?

740
00:36:44,160 --> 00:36:46,600
Speaker 2: Defector dot com? Why let me do that without crushing

741
00:36:46,600 --> 00:36:48,160
Speaker 2: my want? No, no, no, no, that's okay.

742
00:36:48,360 --> 00:36:48,520
Speaker 3: Let me.

743
00:36:48,680 --> 00:36:51,839
Speaker 2: That's a load bearing piece of content. Defector dot com

744
00:36:51,880 --> 00:36:53,600
Speaker 2: is the website, and at.

745
00:36:53,719 --> 00:36:57,200
Speaker 6: Big black Jack a bit on Twitter and blue Sky.

746
00:36:57,480 --> 00:36:59,920
Speaker 6: This Machine Kills is my podcast. Tech Bubble dot com

747
00:37:00,400 --> 00:37:01,759
Speaker 6: dot com is the newsletter.

748
00:37:02,200 --> 00:37:05,000
Speaker 2: Hell yeah, do you want to tell people how to

749
00:37:05,000 --> 00:37:05,400
Speaker 2: find you?

750
00:37:06,000 --> 00:37:11,200
Speaker 4: Zi at New Old Woman on Twitter with okay zeros

751
00:37:11,320 --> 00:37:11,960
Speaker 4: zeros for.

752
00:37:11,960 --> 00:37:15,080
Speaker 2: Neo zeros All right, everybody, Well, uh, that's going to

753
00:37:15,120 --> 00:37:16,719
Speaker 2: do it for us here at it could happen here

754
00:37:17,080 --> 00:37:19,560
Speaker 2: and our week at CES. You know, just try to hug,

755
00:37:19,680 --> 00:37:22,359
Speaker 2: hug your loved ones until the Vieried ox sweeps through

756
00:37:22,560 --> 00:37:26,600
Speaker 2: all of their homes neighborhoods. Yeah, oh no, it's in

757
00:37:26,640 --> 00:37:29,920
Speaker 2: the room. It's in the room.

758
00:37:31,800 --> 00:37:34,320
Speaker 1: It could happen Here is a production of cool Zone Media.

759
00:37:34,520 --> 00:37:37,520
Speaker 1: For more podcasts from cool Zone Media, visit our website

760
00:37:37,640 --> 00:37:41,200
Speaker 1: Coolzonemedia dot com, or check us out on the iHeartRadio app,

761
00:37:41,280 --> 00:37:44,879
Speaker 1: Apple Podcasts, or wherever you listen to podcasts. You can

762
00:37:44,880 --> 00:37:47,240
Speaker 1: now find sources for it could Happen here, listed directly

763
00:37:47,239 --> 00:37:49,560
Speaker 1: in episode descriptions. Thanks for listening.