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Speaker 1: Also media.

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Speaker 2: What's Pippin' my Bops? It could happen here a podcast

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Speaker 2: that is sometimes competently introduced, but not on the days

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Speaker 2: that I'm recording.

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Speaker 3: We're at CEES, the.

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Speaker 2: Consumer Electronics Show, seeing what the tech industry has in

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Speaker 2: mind for all of us. Right, this is a show

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Speaker 2: where the industry talks to itself and its investors and

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Speaker 2: clients about what the future is going to be. And

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Speaker 2: so Garrison Davis and I are going to sit down

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Speaker 2: with you and tell, based on our explorations and investigations

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Speaker 2: this week, what the future of artificial intelligence means for

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Speaker 2: all of us and for the world. Garrison, Hi, how

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Speaker 2: you doing.

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Speaker 4: I'm tired.

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Speaker 3: Yeah, you look tired.

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Speaker 4: It's been a long week. It's been a long week

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Speaker 4: convention walking.

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Speaker 3: Yeah, we've worked very hard.

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Speaker 4: I've talked to too many robots.

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Speaker 3: Yeah, I've talked to a lot of chatbots.

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Speaker 4: I mean it's a bit of a stretch, is that

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Speaker 4: we've talked with them.

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Speaker 3: I've talked to add a lot of chat bots.

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Speaker 4: Yeah, times they responded, sometimes they don't.

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Speaker 2: I guess one of the things that's kind of shocked

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Speaker 2: me is because, like, despite being very critical about AI

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Speaker 2: in the industry. I have actually a pretty good idea

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Speaker 2: of what these things are capable of. And I know

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Speaker 2: that chat GBT and Jim and I and the other

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Speaker 2: like they're capable of doing some things that look very impressive.

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Speaker 2: They are capable of conversations you know, that can be

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Speaker 2: fairly in depth, and that can cover a wide variety

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Speaker 2: of topics. And so one of the things that has

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Speaker 2: surprised me is that as I have gone up and

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Speaker 2: tried to communicate with every various chatbot enabled AI enabled product,

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Speaker 2: about seventy percent of the time it's not actually capable

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Speaker 2: of responding to me in a way that makes any sense.

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Speaker 2: Like the majority of those products just don't function. Sorry,

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Speaker 2: was that literally your AI and your phone yelling at us?

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Speaker 2: Case in point, I was trying to pull up one

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Speaker 2: of the one of the AI robots that we saw today,

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Speaker 2: And I guess this is something that we talked about

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Speaker 2: on Better Offline a bit. In the main thing this

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Speaker 2: year year is the complete, the complete like victory of

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Speaker 2: like chat GPT, yeah across not just not just like it's.

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Speaker 3: Like the cultural victory within the tech industry.

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Speaker 4: Yes, right, and it's moved into like the physical world

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Speaker 4: through like their API license, saying, yeah, so many of

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Speaker 4: the quote unquote products this year is building a physical

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Speaker 4: thing around chat GPT.

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Speaker 2: We have a necklace that has chat GPT and you

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Speaker 2: can talk to it. We have a pin that chat

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Speaker 2: GPT is in and you can talk to it and

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Speaker 2: have it do things like transcribe an interview.

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Speaker 4: Earbuds, there's there's earbuds, little robot dot, every everything has

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Speaker 4: has chat GPT inside it. And that's the main thing

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Speaker 4: that makes it a like uniquer special compared to you know,

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Speaker 4: the types of products we've seen we've seen before.

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Speaker 2: And I would say again when I when I say

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Speaker 2: that like seventy percent of the chatbot enabled products that

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Speaker 2: I tried to interact with could not converse with me

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Speaker 2: or could not do so in a functional way. It's

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Speaker 2: not because the chatbots aren't able to talk to you,

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Speaker 2: because they are. Anyone who's not like you can. It's

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Speaker 2: that all of the chatbots require an active Internet connection

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Speaker 2: because the vast majority of these products do not have

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Speaker 2: anything on device, and when you're in a crowded convention floor,

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Speaker 2: the Internet is bad and so they just don't work.

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Speaker 2: And it kind of it's one of those I'm sure

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Speaker 2: most of these products would work better in the real world,

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Speaker 2: but also the fact that they're all completely hobbled by

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Speaker 2: their access to data is kind of one of the things.

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Speaker 2: It's one of the seams that you can see here.

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Speaker 4: Yeah, the LLLM rappers, so LLLM rappers and robotics are

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Speaker 4: the big things this year. Often these things.

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Speaker 3: Are I mean by an LLLM rapper garrison.

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Speaker 4: Well, this is this is the thing that we're talking

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Speaker 4: about it it'd say it's that this physical product that's

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Speaker 4: built around something like chat GPT or Gemini or Claude

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Speaker 4: or a number of like the Chinese made ones, right,

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Speaker 4: a lot of Chinese companies here. So these physical products,

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Speaker 4: whether those are you headphones, earbuds, or in many cases

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Speaker 4: little tiny robots whose main main features that you can

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Speaker 4: talk to can talk to it and what you're actually

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Speaker 4: talking to is like a filtered version of chat GPT.

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Speaker 4: And there's a lot of these products for kids that

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Speaker 4: we've seen, like robots for kids, because there's a lot

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Speaker 4: a lot of robotics this year as well. That these

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Speaker 4: these are the two things that after years and years

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Speaker 4: of them trying to find a new thing for each

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Speaker 4: cees they've like settled on not not actually having anything

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Speaker 4: of robotics, not having anything new because like we've we've

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Speaker 4: seen robotics before at other years, and this is the

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Speaker 4: year that they're combining their physical robotics, which aren't new,

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Speaker 4: but combining them with chat GPT and presenting it as

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Speaker 4: a new product.

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Speaker 2: Look, now you can intelligence robot and they can't do

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Speaker 2: more tasks than it used to, Like we're still doing

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Speaker 2: really good if it can slowly and not very competently

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Speaker 2: fold laundry. Oh right, Like LG's Kloyd Kloyd, which is

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Speaker 2: a robot designed to be in your home and do

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Speaker 2: chores for you and visibly does not do them well.

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Speaker 3: We watched it now.

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Speaker 2: Where they're presumably it's presumably working better than it normally

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Speaker 2: does because it's a demo.

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Speaker 4: I went to the first Cloyd Cloyd demo and they

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Speaker 4: had like three three different setups for the different stories

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Speaker 4: for like different use cases for Cloyd, once with ones

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Speaker 4: with a family, ones with like a single guy, and

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Speaker 4: ones with like a like a middle aged woman. And

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Speaker 4: with the family, the robots able to find keys that

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Speaker 4: are lost. Notably, what that means is that Cloyd is

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Speaker 4: moving keys around the house, which might actually contribute to

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Speaker 4: the problem of your keys somewhere else. The robot could

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Speaker 4: put a tray of croissants in an oven and the

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Speaker 4: robot knows it, and the robot knows exactly how you

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Speaker 4: want your croissants done. You don't even have to tell

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Speaker 4: the robot. It already knows. And that's something that was

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Speaker 4: stressed the power of ail and over again is that

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Speaker 4: it will it will start to like know what you

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Speaker 4: want is so you wan't need to tell a memory.

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Speaker 2: So many of these products, with the big sell ones,

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Speaker 2: it's got a memory, and it has a rant. They

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Speaker 2: can't stop themselves. And I think some of this was

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Speaker 2: like the actual companies and the way that they're structuring

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Speaker 2: a campaigns. But a lot of this was just most

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Speaker 2: of the companies here hire pr people who don't regularly

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Speaker 2: work for the company and don't know much about the products,

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Speaker 2: and they're just there to demo stuff. And some of

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Speaker 2: it is those people just defaulting too well. They're talking

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Speaker 2: about how this thing like like remembers and knows you,

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Speaker 2: so I'll talk about how it like it has a personality,

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Speaker 2: it has memories, it has experienced, it has core memories,

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Speaker 2: you know, it has preferences and like a personality, it

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Speaker 2: wants things. I talked to a couple of different people

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Speaker 2: at booths who like that was the thing they were emphasizing,

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Speaker 2: is that, like, this is an AI that like feels

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Speaker 2: and gets to know you and has a relationship with you.

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Speaker 2: And it's very number one not what they would want

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Speaker 2: publicly because that's crazy and none of the products actually

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Speaker 2: work that way. But the attempt to convince people that, like,

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Speaker 2: what we have done is create a robot that lives

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Speaker 2: in your home and does chores and it can think

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Speaker 2: and feel.

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Speaker 3: And anytime you say, like, well, is there you just

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Speaker 3: saying you built.

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Speaker 2: A slave, Like are you saying, well, there's thinking sentient

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Speaker 2: robots that you have lived in your house and do

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Speaker 2: your laundry.

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Speaker 3: Isn't that a slave?

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Speaker 2: And it's not, actually, because the robot doesn't not actually,

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Speaker 2: but what they were saying was true, it would be

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Speaker 2: a problem, right, really.

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Speaker 4: Oh, if you get introduce yourself hoever youone introduced.

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Speaker 1: Oh, I'm Ben Ben Rose Porter, I am an academic,

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Speaker 1: I'm a sociologist at Kearney.

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Speaker 4: And you have accompanied us through the wonderful world of

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Speaker 4: Las Vegas and cees this year. I always like bringing

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Speaker 4: people to witness the beautiful world.

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Speaker 1: Yeah, I've been brought to this place very far from god,

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Speaker 1: Las Vegas and the Tech Convention Center. There is this

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Speaker 1: moment where we were walking through and it was the

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Speaker 1: the the Amy Bot for kids.

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Speaker 4: Which me and Robertsau last year, that the little like

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Speaker 4: oval owl looking robot.

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Speaker 1: Yeah yeah, and they had this She's got to be

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Speaker 1: an actress and she was doing like a little skit

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Speaker 1: with the the Amy Bot where it was like it

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Speaker 1: was like the Amy about birthday or something, and she

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Speaker 1: was like very clearly having this this very produced. It

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Speaker 1: reminded me exactly of how like Cheap telea novella's like

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Speaker 1: actors talk where she is just like wow, I mean,

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Speaker 1: you've really gotten to know me over the years. And

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Speaker 1: it was bizarre in that one the selling point of

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Speaker 1: the robot was I think they said, turning data into empathy.

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Speaker 4: Yes, it's able to turn data into empathy.

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Speaker 1: Which God knows what that means, but also that like,

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Speaker 1: so clearly the robot turns data into empathy, but also

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Speaker 1: we cannot show you the robot doing anything concretely, so

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Speaker 1: we will have a person like it was just this

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Speaker 1: very one sided like skit where this person was doing

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Speaker 1: this really overly emotional like back and forth of the robot,

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Speaker 1: where the robot would just respond with like the bare

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Speaker 1: minimum like phrases, and so like what they're selling is

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Speaker 1: is questionable if anyone wants it, and all speculative, it's

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Speaker 1: all none of it can actually be presented.

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Speaker 3: It's all like the potential to do this, and then

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Speaker 3: and then even the way.

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Speaker 1: That they're actually showing that is mostly just cheap tricks.

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Speaker 1: There's another booth where they had the sex robots, and

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Speaker 1: I was just it was shocking because the stand like

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Speaker 1: you're at this convention, you've presumably you know, gone through

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Speaker 1: a lot to get here, and you're the image you're

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Speaker 1: putting forward of your robot that you know you're selling

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Speaker 1: as the sex robot. It's like this cheap AI image,

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Speaker 1: not even one of the good ones, like that they

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Speaker 1: are like clear artifacts and very weird lines and things,

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Speaker 1: and that you could google an anime jpeg and get

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Speaker 1: a better image for this. So just even the smoke

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Speaker 1: and mirrors of it was cheap.

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Speaker 4: Yeah, that was that Love Ants is the Sex Robot booth,

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Speaker 4: And yeah, they had two products. One was like just

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Speaker 4: like you know silicon like realistic human skin sex robot,

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Speaker 4: which is similar to like you know, those horrifying sex dolls,

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Speaker 4: except now we have an LM inside. It's another one

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Speaker 4: of those LM rappers, except it's wrapped around a redheaded woman.

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Speaker 3: Garrison. I find that very offensive.

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Speaker 2: It's actually some people are just they're not capable of

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Speaker 2: talking to women or other human beings of any kind.

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Speaker 4: Yeah, people with ADHD.

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Speaker 2: It's actually a disability where people can't know other people

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Speaker 2: and can only have sexual gratification.

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Speaker 3: Through a creepy robot.

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Speaker 4: I apologize for my respect for my on air ableism. Yeah,

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Speaker 4: but no again. This is the year of l M rappers,

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Speaker 4: and now they're putting it, putting it in a sexpod,

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Speaker 4: which is more unnerving between than a regular sex doll,

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Speaker 4: because a regular sex doll, you kind of know it's

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Speaker 4: an object. Like it's it's not trying to be much

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Speaker 4: more than an object. It can't you can't you could

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Speaker 4: you put in positions, but it's it's static. Yeah, this

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Speaker 4: because this thing tries to kind of engage with you.

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Speaker 4: It activates my uncanny Valley response way more because it's

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Speaker 4: like it's kind of trying to pretend to be a person,

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Speaker 4: and like, I could not look at the thing for

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Speaker 4: very long. So they just like started like I just

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Speaker 4: felt bad. Yeah, and some of that's probably my latent Protestantism,

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Speaker 4: but it's I just feel I just felt bad. But

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Speaker 4: the other product they had, like around the corner was

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Speaker 4: this was this like you know, anime style like like Avatar,

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Speaker 4: which was which is on like a screen that you

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Speaker 4: can talk to and it's synced up to like a

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Speaker 4: jack Off robot, right, so you can you can engage

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Speaker 4: with this.

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Speaker 3: Finally, you can.

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Speaker 4: Engage with this like this like blonde blonde hair, blue

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Speaker 4: eyed anime woman as it's as it connects to like

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Speaker 4: a little a little like jackof machine. And that was there.

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Speaker 4: That was the other product which did not work because

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Speaker 4: there was no Wi Fi in the Venetian Yeah, so

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Speaker 4: we could we could not see it, but the Jackoff

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Speaker 4: machine was still going strong.

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Speaker 2: Yeah, so you could say, I guess that, like, well,

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Speaker 2: obviously there's there's fundamental issues with like having Wi Fi

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Speaker 2: be decent. When you've got seventy thousand people like all

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Speaker 2: cramming themselves into a room, of course, that's going to

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Speaker 2: cause problems that the chatbots and the devices using them

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Speaker 2: are actually capable of more they should. They're more impressive

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Speaker 2: than you giving credit for just because the WiFi didn't work.

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Speaker 2: But also if all your builds is a shell that

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Speaker 2: without the Internet and access to someone else's chatbot, it's useless.

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Speaker 3: It doesn't do anything.

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Speaker 4: This is the big people I haven't really made a

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Speaker 4: product acts are going to brick as soon as soon

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Speaker 4: as as soon as chat GPT raises its API costs,

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Speaker 4: they're going to do one of two things. They're either

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Speaker 4: going to stop working or they're going to move their

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Speaker 4: chatbot provider to a different one that's going to behave differently,

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Speaker 4: and then it's fundamentally a different.

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Speaker 2: And that's why periodically I would run into someone where

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Speaker 2: it's like everything that we do is on device and everything,

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Speaker 2: and even the ones that were still because almost you

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Speaker 2: almost have to say that whatever you're doing is AI

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Speaker 2: and stuff like. There was a company that I came

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Speaker 2: across because of their name because I just saw the

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Speaker 2: name trans Ai and I was like, well, I gotta

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Speaker 2: go see what that is.

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Speaker 4: I did see that, and it's.

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Speaker 2: Simply I believe they're a Korean company, but it's it's

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Speaker 2: just a company that makes like a translator, right, and

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Speaker 2: they make it specifically. It's like the size of a

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Speaker 2: smaller smartphone. It looks kind of like a smartphone and

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Speaker 2: you set it down and it will on device. It

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Speaker 2: does not touch the cloud at all for any reason.

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Speaker 2: It can translate, so if you want to have a

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Speaker 2: conversation with someone in a foreign language, it can like

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Speaker 2: like live translate for you both. And also it will

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Speaker 2: transcribe whatever conversations you're happening. And they were like, yeah,

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Speaker 2: this is for people who want to transcribe. No have

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Speaker 2: been there at college. It's for people who are doing interviews,

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Speaker 2: journalists and stuff. So and it was a really good

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Speaker 2: It seemed to be a good product. I've not gotten

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Speaker 2: to test it outside of the show floor I saw.

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Speaker 4: I saw a few of these.

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Speaker 1: One of the big differences I saw between like the

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Speaker 1: few there were like two or three or four booths

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Speaker 1: that we saw where the product. I was like, I

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Speaker 1: had a positive. I was like I walked away with

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Speaker 1: some mildly positive. Was that almost everything else talk about

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Speaker 1: like the sort of insatiability of capital is that it

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Speaker 1: has to sell. The sex doll was a perfect example

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Speaker 1: of this in that you know, if you make a

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Speaker 1: sex doll and you put the chat GPT inside of

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Speaker 1: it and then you sell it as this is a

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Speaker 1: sex doll. It's an object you find, but now you

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Speaker 1: can like you could have sexy conversation with Its still

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Speaker 1: an object, but like you know, that's fun for some people.

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Speaker 3: Thing that people didn't have, and it is new.

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Speaker 1: Yeah, and it's a phenomena you could clearly show off.

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Speaker 1: It's like, oh you can, you know, now the sex

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Speaker 1: doll can like say your name and stuff. But almost

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Speaker 1: all of the boot that we're selling some kind of aiproduct.

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Speaker 1: It was like, we have to sell the opportunity to

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Speaker 1: like transcend like your mortal shell and become a part

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Speaker 1: of the cosmos itself. Like the SEXTL was literally sitting

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Speaker 1: in this corner talking to no one and saying stuff

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Speaker 1: like I'm about emotional intelligence and building a connection, getting

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Speaker 1: to know you and reaching into your soul. And it's

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Speaker 1: like it clearly cannot do this. And the few products

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Speaker 1: that were good were the ones where the people showing

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Speaker 1: it were just able to like just put that aside

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Speaker 1: and just say here's what the product.

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Speaker 4: Does, right, here's what it can do.

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Speaker 2: Concrete and that has become my baseline first question, which

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Speaker 2: is like, have you done anything with your product? And

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Speaker 2: if all that you've done is we invented a new

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Speaker 2: device that didn't previously have a chatbot that it connects

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Speaker 2: to through data that someone else built, you didn't do

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Speaker 2: anything that's not a product, that's not real. So kind

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Speaker 2: of my first my filter was like, is there anything

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Speaker 2: here beyond another way to interact with a completely different

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Speaker 2: p that you didn't make.

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Speaker 4: To go back to like the AI note taking devices,

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Speaker 4: which I saw a few where there's a Lindon and

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Speaker 4: it will take notes for you. I saw like a

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Speaker 4: lot of these, like marketed to like a college student.

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Speaker 2: And it's the thing that it is a thing that

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Speaker 2: machine learning, because I hate that it gets lumped in

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Speaker 2: with AI, but machine learning has gotten up a lot,

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Speaker 2: but it.

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Speaker 3: Is really good.

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Speaker 4: It's it's good at note taking and here's the thing,

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Speaker 4: and that's alliable and there's different devices that you can

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Speaker 4: get it on. Like I saw like like a note

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Speaker 4: taking pin that's a pin that just automatically takes notes

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Speaker 4: for you, and that was like, you know, kind of

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Speaker 4: like kind of kind of fun. But the thing is

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Speaker 4: you can do this exact same thing on your phone

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Speaker 4: with the jet GPT app. It's the exact same thing. Yes,

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Speaker 4: you don't need it in a pen, just turn your

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Speaker 4: phone on and it'll auto do the notes for you.

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Speaker 4: The actual product part is useless. The whole idea of

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Speaker 4: the smartphone is that you have everything you need already

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Speaker 4: on it.

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Speaker 2: And that's why I did respect again companies like trans

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Speaker 2: Ai where it's like, no, this is actually on device,

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Speaker 2: and this is a thing. This is that better utility

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Speaker 2: that my phone doesn't have, which is that no matter

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Speaker 2: where I am, even if I'm not connected to the internet,

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Speaker 2: I can translate and I can transcribe using this device.

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Speaker 2: That's real utility. And transa is not the only company.

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Speaker 2: A couple of companies had products like that.

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Speaker 4: Yeah, we saw this emotion tracking pendant which is oh

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Speaker 4: my god, on device, which which listens to everyone.

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Speaker 3: So you said motion, not emotion, no emotion, oh god,

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Speaker 3: but it listens.

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Speaker 4: It listens to everything you're saying. It doesn't uput anything

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Speaker 4: to cloud, but it in the AA is on device,

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Speaker 4: so it listens everything. It is like emotional sentiment analysis.

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Speaker 4: It also monitors your breath and your heartbeat because the

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Speaker 4: necklace like rests like on your chest, and then it

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Speaker 4: like talk and then it can like analyze like around

364
00:16:48,160 --> 00:16:51,760
Speaker 4: like six or seven. That's mystic seven different emotions, and

365
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Speaker 4: like it was like, fine, I don't I would never

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Speaker 4: need this thing to tell me how I'm feeling. I

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Speaker 4: know how to feel, but like it might be fun

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Speaker 4: for some people to track how they're feeling or be like,

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Speaker 4: oh I was more stressed. I was more stressed this

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Speaker 4: week than like last week, and like still.

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Speaker 2: And there's even there's at least a degree of baseline

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Speaker 2: optimism that you have for the product when it's like, Okay,

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Speaker 2: this is a device where you're trying to track people's emotions,

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Speaker 2: and your immediate first thing you decided as a company

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Speaker 2: was this can't go on the cloud.

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Speaker 3: That would be a responsible This.

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Speaker 4: Is why that was the first thing I asked, right.

378
00:17:23,760 --> 00:17:26,440
Speaker 2: Right, And that is I guess the most important fundamental

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00:17:26,480 --> 00:17:30,400
Speaker 2: difference between companies and people here and between the companies

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Speaker 2: that are embracing to some extent AI is the ones

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Speaker 2: who whose default was like, well, but we're doing something

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Speaker 2: that involves emotions or that involves like interviews or conversations

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Speaker 2: that people might not want on like we shouldn't have

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Speaker 2: that on the cloud, versus the people who are like,

385
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Speaker 2: why wouldn't you put literally everything on the cloud. Why

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Speaker 2: don't you want your health and medical data on the cloud.

387
00:17:49,359 --> 00:17:51,680
Speaker 2: Why don't we want your financial data on the cloud? Right,

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Speaker 2: Like that is kind of like the most fundamental difference

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Speaker 2: that you see between people.

390
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Speaker 1: Here, part and parcel of the insatiable like just drive

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00:17:59,119 --> 00:18:03,200
Speaker 1: for endless value. And probably the comparisons between this convention

392
00:18:03,320 --> 00:18:06,400
Speaker 1: and its location Las Vegas are really overlaiden at this point,

393
00:18:06,440 --> 00:18:08,840
Speaker 1: but I mean there is something about, like, you know,

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Speaker 1: the appeal of gambling is the promise of the speculative

395
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Speaker 1: promise of endless value, and how all of these technologies

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00:18:15,600 --> 00:18:18,040
Speaker 1: are selling themselves off of endless value. And for the

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00:18:18,080 --> 00:18:22,760
Speaker 1: producer side, that means like this this device has endless

398
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Speaker 1: function potentially, you know, we say endless functions.

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Speaker 4: Especially with these like AI devices.

400
00:18:27,840 --> 00:18:30,800
Speaker 1: Yeah yeah, but from the consumer side, it's from a well,

401
00:18:31,359 --> 00:18:34,800
Speaker 1: if you just give yourself over to you know, to

402
00:18:34,960 --> 00:18:37,240
Speaker 1: the god of capital, if you if you just bleed

403
00:18:37,280 --> 00:18:39,800
Speaker 1: into the machine and connect yourself to the cloud and

404
00:18:39,800 --> 00:18:43,159
Speaker 1: give over like everything, and it really is everything. I mean,

405
00:18:43,200 --> 00:18:45,879
Speaker 1: there's like AI towels that are like analyzing your sweat.

406
00:18:46,160 --> 00:18:49,200
Speaker 1: If you give over everything, there is this vague promise

407
00:18:49,240 --> 00:18:52,119
Speaker 1: of transcendence and that like you will escape the the

408
00:18:52,280 --> 00:18:54,919
Speaker 1: like the misery of the world that this place is

409
00:18:55,080 --> 00:18:59,400
Speaker 1: just both completely blind to and then also without ever

410
00:18:59,680 --> 00:19:02,800
Speaker 1: saying it, like also responding to it entirely.

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00:19:03,240 --> 00:19:06,280
Speaker 2: First off, obviously you're you're coming at this from more

412
00:19:06,280 --> 00:19:08,640
Speaker 2: of a left wing perspective, so you probably don't understand

413
00:19:08,720 --> 00:19:11,880
Speaker 2: that gambling always works and you're definitely going to win.

414
00:19:12,640 --> 00:19:13,800
Speaker 2: So first off, you.

415
00:19:13,760 --> 00:19:16,760
Speaker 4: Know, no Vegas really is the anarcho capitalist paradise.

416
00:19:16,920 --> 00:19:19,440
Speaker 2: It sure is, but no, like like what you're saying

417
00:19:19,520 --> 00:19:22,280
Speaker 2: is they want you to give everything over. There is

418
00:19:22,440 --> 00:19:26,200
Speaker 2: absolutely there's not outside of again the odd booth where

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00:19:26,240 --> 00:19:28,560
Speaker 2: you find sane people, which is almost how I think

420
00:19:28,560 --> 00:19:30,680
Speaker 2: about it them in my head, where it's like yeah,

421
00:19:31,040 --> 00:19:33,359
Speaker 2: where you're putting front and forward. This stays on the device.

422
00:19:33,440 --> 00:19:35,840
Speaker 2: You don't have to be online. We are not exposing

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Speaker 2: your data.

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00:19:36,480 --> 00:19:38,679
Speaker 4: It's like seeing a lighthouse right in like in like

425
00:19:38,680 --> 00:19:40,840
Speaker 4: a horrible like rainstorm and you're like sailing god a

426
00:19:40,920 --> 00:19:42,880
Speaker 4: ship and you can't see anything and everyone's you'll see

427
00:19:42,880 --> 00:19:44,760
Speaker 4: a booth with like a real person God it's like

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00:19:44,800 --> 00:19:47,800
Speaker 4: talking about it was solving a real plum, like oh finally, Yeah.

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00:19:47,840 --> 00:19:50,560
Speaker 1: It's a spectrum between talking to the ais, talking to

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Speaker 1: the real few people and then the other people who

431
00:19:54,080 --> 00:19:54,520
Speaker 1: are kind of.

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Speaker 3: In between the two.

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Speaker 2: And it was I I went from seeing this app

434
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Speaker 2: where the whole purpose of this company that makes like

435
00:20:01,840 --> 00:20:05,800
Speaker 2: agentic ai solutions, who I'm scrolling to find there the

436
00:20:05,840 --> 00:20:08,040
Speaker 2: company name right now, all of it is they're making

437
00:20:08,119 --> 00:20:10,800
Speaker 2: agents that you can put in like point of sale things,

438
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Speaker 2: or you can put in like cars as a chatbot.

439
00:20:12,800 --> 00:20:12,879
Speaker 4: Like.

440
00:20:12,880 --> 00:20:14,919
Speaker 2: One thing they said is yeah, we can put this

441
00:20:14,960 --> 00:20:16,800
Speaker 2: in a car and we can have the you know,

442
00:20:16,840 --> 00:20:19,640
Speaker 2: you can navigate using voice the way you would normally

443
00:20:19,720 --> 00:20:21,760
Speaker 2: like with a bunch of other apps. But if you

444
00:20:21,840 --> 00:20:24,680
Speaker 2: navigate with voice using our app, it will only send

445
00:20:24,680 --> 00:20:27,720
Speaker 2: you to restaurants or businesses that we have a deal

446
00:20:27,800 --> 00:20:30,360
Speaker 2: with that are giving us a cut and so and

447
00:20:30,400 --> 00:20:32,399
Speaker 2: you too the car company gets a cut.

448
00:20:32,760 --> 00:20:33,080
Speaker 3: Two.

449
00:20:33,520 --> 00:20:36,800
Speaker 2: And that was the innovation is that we can not

450
00:20:37,119 --> 00:20:39,680
Speaker 2: give people like tell people where things are. We can

451
00:20:39,680 --> 00:20:42,119
Speaker 2: tell people where things are that hey us and you

452
00:20:42,160 --> 00:20:42,760
Speaker 2: get a cut of it.

453
00:20:42,920 --> 00:20:45,240
Speaker 4: The company can like make a partnership with like Coca Cola,

454
00:20:45,400 --> 00:20:46,560
Speaker 4: right so then when you we're.

455
00:20:46,400 --> 00:20:48,440
Speaker 2: Literally talking to Coca Cola reps when I was there,

456
00:20:48,560 --> 00:20:51,320
Speaker 2: it's showing them that like, yeah, we have a like, look,

457
00:20:51,359 --> 00:20:53,520
Speaker 2: we've replaced the human beings that take your orders at

458
00:20:53,520 --> 00:20:56,520
Speaker 2: Burger King, and the chatbot can alter on the fly

459
00:20:56,600 --> 00:20:59,760
Speaker 2: of the menu. If you have to get a smooth

460
00:20:59,800 --> 00:21:02,000
Speaker 2: a lot out of vanilla coat and you want to

461
00:21:02,000 --> 00:21:04,359
Speaker 2: sell as many large as possible, it can tell people

462
00:21:04,359 --> 00:21:05,240
Speaker 2: that's the only option.

463
00:21:05,640 --> 00:21:07,399
Speaker 3: WHOA And like like the.

464
00:21:07,600 --> 00:21:09,399
Speaker 2: Fact that they were just like bald faced about it,

465
00:21:09,400 --> 00:21:12,280
Speaker 2: because when I showed up, they were they were demoing

466
00:21:12,359 --> 00:21:15,960
Speaker 2: how this uh, this like Burger King menu with AI worked,

467
00:21:16,000 --> 00:21:18,239
Speaker 2: And they were like there was a full menu that

468
00:21:18,280 --> 00:21:20,920
Speaker 2: you could see that was like a like an updated

469
00:21:20,960 --> 00:21:23,440
Speaker 2: screen menu, but there was a secondary menu where they're

470
00:21:23,480 --> 00:21:25,040
Speaker 2: like pretending to be a guy who drew up to

471
00:21:25,040 --> 00:21:28,040
Speaker 2: Burger King. And the way that they started was like, yeah,

472
00:21:28,200 --> 00:21:30,439
Speaker 2: what burgers are good? What do you think I'd like?

473
00:21:30,640 --> 00:21:32,000
Speaker 2: And I was like, who No one.

474
00:21:31,920 --> 00:21:35,159
Speaker 4: Drives up, No one good drive through window and asks

475
00:21:35,240 --> 00:21:35,880
Speaker 4: what's good?

476
00:21:36,080 --> 00:21:37,960
Speaker 2: Yeah, No, that's not how they And again there's a

477
00:21:38,040 --> 00:21:40,760
Speaker 2: menu in front of you. You look at the menu

478
00:21:40,840 --> 00:21:44,320
Speaker 2: and it's like that's how everyone buys food. So at

479
00:21:44,320 --> 00:21:47,399
Speaker 2: first I was like, is this just a company that

480
00:21:47,440 --> 00:21:49,679
Speaker 2: doesn't know how life works? Who are like trying to

481
00:21:50,320 --> 00:21:54,280
Speaker 2: pretend this is like what people want where they go through? Yeah, yeah,

482
00:21:54,320 --> 00:21:57,000
Speaker 2: well what's good today in McDonald's you know, do you

483
00:21:57,000 --> 00:21:57,879
Speaker 2: have any specials?

484
00:21:58,040 --> 00:21:58,159
Speaker 4: Uh?

485
00:21:58,520 --> 00:21:59,360
Speaker 3: Which was crazy?

486
00:21:59,359 --> 00:22:00,920
Speaker 2: But then I realized because they were talking to this

487
00:22:00,960 --> 00:22:03,760
Speaker 2: small group of people, and I realized after a second, oh,

488
00:22:03,880 --> 00:22:06,000
Speaker 2: because I looked at their badges. Everyone has badges that

489
00:22:06,280 --> 00:22:08,800
Speaker 2: all of the people worked for Coca Cola. And so

490
00:22:08,840 --> 00:22:10,960
Speaker 2: they were talking about how, yes, if Burger King wants

491
00:22:11,040 --> 00:22:13,560
Speaker 2: to move you know, a specific kind of whopper, then

492
00:22:13,600 --> 00:22:15,520
Speaker 2: we can put that front and center when people ask

493
00:22:15,600 --> 00:22:17,880
Speaker 2: what's good and we can push it. And said, for coke,

494
00:22:17,880 --> 00:22:19,440
Speaker 2: if you guys want to move vanilla coke, we can

495
00:22:19,480 --> 00:22:21,640
Speaker 2: have Whenever people order anything, we can have it. Say

496
00:22:21,760 --> 00:22:23,280
Speaker 2: do you want to add a vanilla coke? A large

497
00:22:23,320 --> 00:22:23,880
Speaker 2: vanilla Cokes?

498
00:22:24,000 --> 00:22:24,960
Speaker 4: Just like yeah.

499
00:22:24,960 --> 00:22:29,040
Speaker 2: And so what I realized is that this company whose

500
00:22:29,119 --> 00:22:31,199
Speaker 2: name is this is SoundHound.

501
00:22:30,640 --> 00:22:34,880
Speaker 4: AI sound Hound Yeah yeah, great, pretty pretty good name.

502
00:22:35,000 --> 00:22:38,280
Speaker 2: Their motto was faster and more accurate, higher revenue. I

503
00:22:38,520 --> 00:22:41,359
Speaker 2: came to realize, and this is this is not entirely

504
00:22:41,400 --> 00:22:43,919
Speaker 2: a separation from other years because they are always selling

505
00:22:43,960 --> 00:22:47,080
Speaker 2: to companies like this. But there was absolutely they were

506
00:22:47,200 --> 00:22:49,520
Speaker 2: the only thing that they were talking about actual end users,

507
00:22:49,560 --> 00:22:51,960
Speaker 2: as was a thing that you can pull extra money

508
00:22:52,000 --> 00:22:55,240
Speaker 2: out of by by tricking them, by pushing extra ads

509
00:22:55,280 --> 00:22:57,480
Speaker 2: to them. And that's who they were actually selling to,

510
00:22:57,640 --> 00:22:59,320
Speaker 2: is these companies that they were like. The other thing

511
00:22:59,320 --> 00:23:01,480
Speaker 2: they demoed was you can make an agent on the

512
00:23:01,480 --> 00:23:03,520
Speaker 2: fly and you can include the capabilities, and they showed

513
00:23:03,560 --> 00:23:06,119
Speaker 2: us how to select it and then built an AI,

514
00:23:06,400 --> 00:23:09,560
Speaker 2: an agent to live in your car. And the demo

515
00:23:09,600 --> 00:23:12,240
Speaker 2: they did was like, hey, my car is making this sound.

516
00:23:12,280 --> 00:23:13,800
Speaker 2: What do you think it is? They didn't play the

517
00:23:13,880 --> 00:23:15,840
Speaker 2: sound for the AI by the way they described it,

518
00:23:16,000 --> 00:23:18,200
Speaker 2: and the AA said that sounds like it could be

519
00:23:18,480 --> 00:23:21,480
Speaker 2: da teta da. It'll cost about seven hundred dollars to fix.

520
00:23:21,840 --> 00:23:25,480
Speaker 2: Great book me an appointment with the dealership. So first off,

521
00:23:25,520 --> 00:23:27,680
Speaker 2: that's not how people work. I've had car everyone has

522
00:23:27,720 --> 00:23:30,480
Speaker 2: car issues. A regular person. There's a problem with your car.

523
00:23:30,800 --> 00:23:33,639
Speaker 2: You either have a mechanic. That's not the dealership that

524
00:23:33,680 --> 00:23:35,440
Speaker 2: you go to because they didn't rip you off in

525
00:23:35,480 --> 00:23:37,720
Speaker 2: the past, and you're like, well, I trust them, not

526
00:23:37,800 --> 00:23:40,119
Speaker 2: to fuck me too bad, or you go to a

527
00:23:40,200 --> 00:23:43,200
Speaker 2: couple because most people don't just drop seven hundred dollars

528
00:23:43,240 --> 00:23:45,240
Speaker 2: in a repair and not think about it. But the

529
00:23:45,320 --> 00:23:47,879
Speaker 2: person that this engineer is pretending to be for the

530
00:23:47,880 --> 00:23:51,439
Speaker 2: purpose of this AI demo said, great, book me a

531
00:23:51,520 --> 00:23:54,680
Speaker 2: repair at the dealership. And the AI was like, okay,

532
00:23:54,720 --> 00:23:56,400
Speaker 2: I've called them and I've booked you an appointment.

533
00:23:56,440 --> 00:23:58,760
Speaker 3: And by the way, would you like to schedule the

534
00:23:58,800 --> 00:24:01,560
Speaker 3: test drive for this if it kind of car. Oh,

535
00:24:01,640 --> 00:24:03,280
Speaker 3: my wife loves that car. Book us.

536
00:24:03,280 --> 00:24:05,040
Speaker 2: And that was the whole thing is he was like,

537
00:24:05,119 --> 00:24:07,720
Speaker 2: don't be impressed that we can theoretically book you an appointment.

538
00:24:07,760 --> 00:24:10,359
Speaker 2: Be impressed that we can have the machine upsell you

539
00:24:10,440 --> 00:24:12,240
Speaker 2: on trying to buy a new car when you come

540
00:24:12,240 --> 00:24:14,879
Speaker 2: in to fix your old car that broke because you

541
00:24:14,920 --> 00:24:18,760
Speaker 2: bought a bad car. And there was no shame. They

542
00:24:18,800 --> 00:24:22,040
Speaker 2: were so proud of themselves, for this machine can repeatedly

543
00:24:22,320 --> 00:24:25,199
Speaker 2: upsell you things. And that was the only utility. It

544
00:24:25,240 --> 00:24:28,520
Speaker 2: was not this allows you to more easily navigate town,

545
00:24:28,880 --> 00:24:31,720
Speaker 2: This allows you to more easily, you know, cut out

546
00:24:31,800 --> 00:24:35,320
Speaker 2: problems in your life. It was this machine can upsell

547
00:24:35,359 --> 00:24:38,240
Speaker 2: you every minute of your day. Everything you ask it

548
00:24:38,280 --> 00:24:40,919
Speaker 2: to do everything you try to have it do, and

549
00:24:41,000 --> 00:24:42,760
Speaker 2: we get a cut of that. If we send it

550
00:24:42,800 --> 00:24:45,480
Speaker 2: to a restaurant and you buy food there, we get

551
00:24:45,520 --> 00:24:47,960
Speaker 2: a cut of that. And so does whatever company you

552
00:24:47,960 --> 00:24:49,800
Speaker 2: know put the thing in your car if you buy

553
00:24:49,800 --> 00:24:51,840
Speaker 2: a new car, we get a cut of that. That

554
00:24:52,000 --> 00:24:55,280
Speaker 2: was the product and that we have gone from. Here

555
00:24:55,320 --> 00:24:57,800
Speaker 2: are machines that do things. And even back in the

556
00:24:58,280 --> 00:25:01,040
Speaker 2: glorias of smartphones, at least everyone showing like, look, we

557
00:25:01,119 --> 00:25:03,439
Speaker 2: have a new phone that's thinner than a phone has

558
00:25:03,480 --> 00:25:03,840
Speaker 2: ever been.

559
00:25:03,960 --> 00:25:06,800
Speaker 4: Yeah, or like the camera is like you know, four

560
00:25:06,880 --> 00:25:07,960
Speaker 4: K now or something.

561
00:25:07,800 --> 00:25:10,320
Speaker 2: Whatever, the focus is always and now people who buy

562
00:25:10,359 --> 00:25:12,320
Speaker 2: them can do this with it, right.

563
00:25:12,880 --> 00:25:15,879
Speaker 1: I mean, I would guess that so much of the

564
00:25:15,920 --> 00:25:18,399
Speaker 1: impetus for creating this stuff and developing it is all

565
00:25:18,440 --> 00:25:22,040
Speaker 1: for producer goods, and then the more revenue is honest,

566
00:25:22,080 --> 00:25:24,160
Speaker 1: and that like that's what the and all the consumer

567
00:25:24,200 --> 00:25:26,600
Speaker 1: goods are mostly just getting you know, cast off is

568
00:25:26,680 --> 00:25:28,480
Speaker 1: like now we have all I mean literally, that's what

569
00:25:28,520 --> 00:25:31,040
Speaker 1: the LLLM rappers are. It's just like, oh, we have

570
00:25:31,080 --> 00:25:33,119
Speaker 1: this thing, let's throw a plastic robot on it and

571
00:25:33,440 --> 00:25:37,080
Speaker 1: try and sell it. But what drives its development is

572
00:25:37,880 --> 00:25:41,200
Speaker 1: squeezing just little bits, squeezing labor out of the pores

573
00:25:41,200 --> 00:25:43,800
Speaker 1: of the production process, which it just gets you a

574
00:25:43,800 --> 00:25:47,000
Speaker 1: little bit more, you know, capital to keep this engine

575
00:25:47,000 --> 00:25:47,960
Speaker 1: going a little bit further.

576
00:25:48,400 --> 00:25:51,120
Speaker 3: And it's so because the way it'll work is I

577
00:25:51,160 --> 00:25:54,159
Speaker 3: saw that thing where it's literally all you've invented is

578
00:25:54,160 --> 00:25:55,800
Speaker 3: a way to try to con people out of more

579
00:25:55,840 --> 00:25:58,359
Speaker 3: of their money. I hope you're proud of yourselves, because

580
00:25:58,440 --> 00:26:02,720
Speaker 3: I think it redacted is what you should do to yourself.

581
00:26:03,119 --> 00:26:04,520
Speaker 3: And I went from that to the booth of a

582
00:26:04,520 --> 00:26:06,520
Speaker 3: company called Gintech, who had never heard of before, but

583
00:26:06,560 --> 00:26:11,480
Speaker 3: they make different automotive products, and an engineer there showed

584
00:26:11,520 --> 00:26:13,439
Speaker 3: me a thing that he had been the lead on inventing,

585
00:26:13,480 --> 00:26:15,840
Speaker 3: which was a sun visor. So like you know, when

586
00:26:15,840 --> 00:26:17,960
Speaker 3: you're driving and there's a glare, you put down the

587
00:26:18,359 --> 00:26:20,520
Speaker 3: advisor and the visor is just like a basically a

588
00:26:20,560 --> 00:26:22,800
Speaker 3: piece of fabric and it blocks a chunk of your view,

589
00:26:22,800 --> 00:26:26,000
Speaker 3: but it at least blocks the sun. And this was

590
00:26:26,080 --> 00:26:29,880
Speaker 3: an intelligent visor that was clear and so you could

591
00:26:29,960 --> 00:26:32,439
Speaker 3: see through it, but it also blocked UV rays and

592
00:26:32,480 --> 00:26:34,840
Speaker 3: you could adjust the level of opacity if you needed

593
00:26:34,840 --> 00:26:36,920
Speaker 3: it to be more or less, but you could still

594
00:26:36,920 --> 00:26:39,320
Speaker 3: see through the mirror and it still blocked the glare.

595
00:26:39,760 --> 00:26:41,639
Speaker 3: And I was like, oh, that's really neat. And then

596
00:26:41,640 --> 00:26:43,760
Speaker 3: he pressed a button and it turned into a mirror.

597
00:26:44,160 --> 00:26:46,760
Speaker 3: Suddenly that functioned. It looked great. I saw it.

598
00:26:46,840 --> 00:26:49,920
Speaker 2: I know it works, and I got like an honest wow,

599
00:26:50,160 --> 00:26:52,159
Speaker 2: I didn't know that was a thing that could happen.

600
00:26:52,600 --> 00:26:55,960
Speaker 2: And that's a real product, and I can imagine using it.

601
00:26:56,320 --> 00:26:58,800
Speaker 2: That's like a problem where yeah, if you want to

602
00:26:58,840 --> 00:27:02,240
Speaker 2: block glare, you're losing a degree of visibility and now

603
00:27:02,240 --> 00:27:05,880
Speaker 2: you're not You've actually done something right.

604
00:27:06,160 --> 00:27:10,119
Speaker 4: Yeah, but you could put Gemini into a toaster and

605
00:27:10,160 --> 00:27:10,720
Speaker 4: call it a day.

606
00:27:10,880 --> 00:27:13,280
Speaker 3: What if your toaster could talk to you about Proust?

607
00:27:13,480 --> 00:27:24,640
Speaker 4: I guess I mean this is actually now that's an idea.

608
00:27:27,840 --> 00:27:30,479
Speaker 4: If we're going to close this this more AI focused episode,

609
00:27:30,520 --> 00:27:33,879
Speaker 4: I kind of want to circle back to Cloyd and

610
00:27:33,920 --> 00:27:37,240
Speaker 4: like why and why Chloyd Loyd again, chlod exists.

611
00:27:37,280 --> 00:27:39,080
Speaker 2: Just take a second, if you're listening to this at

612
00:27:39,080 --> 00:27:41,720
Speaker 2: home on the drive, if you've got family around, look

613
00:27:41,760 --> 00:27:44,439
Speaker 2: at each other, look another person in the eye, and

614
00:27:44,520 --> 00:27:48,800
Speaker 2: say the word LG has a new home assistance robot

615
00:27:48,920 --> 00:27:54,760
Speaker 2: named Cloyd. Cloyd roll it around in your tongue, you know,

616
00:27:55,040 --> 00:27:56,320
Speaker 2: just think about it for a second.

617
00:27:56,480 --> 00:28:00,640
Speaker 4: Okay, why Cloyd exists? Like why? Why? Why is LG

618
00:28:00,840 --> 00:28:04,280
Speaker 4: who's previously had some really impressive booths over the years,

619
00:28:04,320 --> 00:28:04,760
Speaker 4: and they.

620
00:28:04,640 --> 00:28:05,520
Speaker 3: Had cool TV.

621
00:28:05,640 --> 00:28:08,040
Speaker 4: They had TV's where the wallpaper TV was impressive.

622
00:28:08,119 --> 00:28:10,040
Speaker 3: Every time I go to an LG's booth every year,

623
00:28:10,080 --> 00:28:11,520
Speaker 3: I'm like, yeah, that's a better look on TV.

624
00:28:12,480 --> 00:28:16,199
Speaker 4: Really TV. Yeah it was great, but why why? And

625
00:28:16,240 --> 00:28:18,840
Speaker 4: then the wall peer TV is Okay, there was one

626
00:28:18,840 --> 00:28:21,040
Speaker 4: paper TV last year. It was it was slightly worse.

627
00:28:21,080 --> 00:28:23,200
Speaker 4: This one's a little bit better. But why does Cloyd

628
00:28:23,680 --> 00:28:26,080
Speaker 4: the big thing at the LG booth this year?

629
00:28:26,400 --> 00:28:26,760
Speaker 3: Loyd?

630
00:28:26,880 --> 00:28:28,959
Speaker 4: Right? Because none of the technology that Cloyd is doing

631
00:28:29,080 --> 00:28:31,520
Speaker 4: is new. Remember last year at show stoppers, me and

632
00:28:31,600 --> 00:28:35,320
Speaker 4: you we saw that really janky robot. N't have to

633
00:28:35,320 --> 00:28:37,439
Speaker 4: be more specific, but it's not taking a robot that

634
00:28:37,520 --> 00:28:38,280
Speaker 4: moves up and down.

635
00:28:38,480 --> 00:28:40,840
Speaker 3: Oh yeah yeah yeah, the pusher and shover robots.

636
00:28:40,760 --> 00:28:44,240
Speaker 4: Yes, right, And Cloyd is like kind of that. It's

637
00:28:44,280 --> 00:28:47,240
Speaker 4: like the actual physical robotic parts of Cloyd aren't new. Yeah,

638
00:28:47,240 --> 00:28:49,560
Speaker 4: and there's sort of the sort of AI that's running Cloyd.

639
00:28:49,400 --> 00:28:53,200
Speaker 2: And Kloyd if someone needed to make Wally that was

640
00:28:53,280 --> 00:28:55,720
Speaker 2: legally distinct enough to stop Disney from suing.

641
00:28:55,400 --> 00:28:58,160
Speaker 3: Them, and tall and Tom Taller. That's how Chloyd looks.

642
00:28:58,320 --> 00:29:01,400
Speaker 2: So why is Cloyd there? Why is Chloyd there? I'm

643
00:29:01,400 --> 00:29:03,400
Speaker 2: always asking myself this.

644
00:29:02,840 --> 00:29:04,920
Speaker 4: Is This goes into like what this what like Cees

645
00:29:05,120 --> 00:29:06,680
Speaker 4: is like doing this year, and how it reflects this

646
00:29:06,680 --> 00:29:09,680
Speaker 4: current state of the tech industry is that these lllms

647
00:29:09,960 --> 00:29:12,920
Speaker 4: like tra GVT are not actually better than they were

648
00:29:13,000 --> 00:29:15,200
Speaker 4: last year. No, they are. They are the same. So

649
00:29:15,240 --> 00:29:17,440
Speaker 4: how do we make things look look cool?

650
00:29:17,560 --> 00:29:19,920
Speaker 2: Just whatever improvements they are is not enough to notice

651
00:29:19,960 --> 00:29:21,320
Speaker 2: for an average person.

652
00:29:21,160 --> 00:29:23,880
Speaker 4: Very minimal. Yeah, So instead of actually having anything new

653
00:29:23,960 --> 00:29:27,160
Speaker 4: or any kind of sizeable improvement to display, they're combining

654
00:29:27,320 --> 00:29:30,280
Speaker 4: too old and some of the products are kind of archaic.

655
00:29:30,400 --> 00:29:33,240
Speaker 4: The come combining two older products and trying to pass

656
00:29:33,240 --> 00:29:35,440
Speaker 4: it off as a new thing. And that's these these

657
00:29:35,480 --> 00:29:38,920
Speaker 4: these like older older like robotic systems right that you're

658
00:29:39,000 --> 00:29:41,320
Speaker 4: usually kind of humanoid. Maybe they have hands, Maybe the

659
00:29:41,400 --> 00:29:44,320
Speaker 4: hands can grab things. Can the hands unscrew up a

660
00:29:44,360 --> 00:29:47,160
Speaker 4: milk carton? No? Can can can the can the robot

661
00:29:47,360 --> 00:29:48,520
Speaker 4: grab milk out of the fridge?

662
00:29:48,640 --> 00:29:51,040
Speaker 1: Yes, so long as you want milk from a very

663
00:29:51,120 --> 00:29:54,360
Speaker 1: specific carton and croissants and only croissants, you're good.

664
00:29:54,400 --> 00:29:56,360
Speaker 2: As long as the milk has a QR code that

665
00:29:56,400 --> 00:29:58,840
Speaker 2: the robot can recognize to know that it's milk. And

666
00:29:58,920 --> 00:30:02,440
Speaker 2: also when it's emptier than a certain level, it actually

667
00:30:02,440 --> 00:30:04,280
Speaker 2: will crush the milk thing like it has to be

668
00:30:04,280 --> 00:30:05,640
Speaker 2: a certain level a full otherwise it doesn't.

669
00:30:05,640 --> 00:30:07,880
Speaker 4: But it's neither of these things are new. And the

670
00:30:07,880 --> 00:30:10,600
Speaker 4: fact that Algae doesn't have anything else to display at

671
00:30:10,600 --> 00:30:12,960
Speaker 4: their booth, the fact that they had to stoop so

672
00:30:13,200 --> 00:30:17,000
Speaker 4: low is to regurgitate this old kind of cheap robotics

673
00:30:17,360 --> 00:30:19,240
Speaker 4: and slap an LLLM in there and then call it

674
00:30:19,280 --> 00:30:21,880
Speaker 4: a day, so that they have very little to actually

675
00:30:22,160 --> 00:30:25,160
Speaker 4: show for us. Yes, and you see this walking through

676
00:30:25,320 --> 00:30:28,200
Speaker 4: like the Central Hall SAT. The Samsung booth is into there,

677
00:30:28,440 --> 00:30:30,960
Speaker 4: the Nkon booth is into there, the Sony booth is

678
00:30:30,960 --> 00:30:33,440
Speaker 4: mostly a car like. There's a lot of these big

679
00:30:33,480 --> 00:30:38,200
Speaker 4: companies are really absent from actual products. The Panasonic has

680
00:30:38,200 --> 00:30:40,600
Speaker 4: a really big booth, but it's mostly about like servers,

681
00:30:40,880 --> 00:30:44,080
Speaker 4: it's mostly about how they're how they're improving, how they're

682
00:30:44,120 --> 00:30:47,760
Speaker 4: improving data farming, there's no stuff, and a lot.

683
00:30:47,600 --> 00:30:49,120
Speaker 3: Of the stuff that does exist.

684
00:30:49,520 --> 00:30:52,280
Speaker 2: You even have to separate further from stuff that exists

685
00:30:52,520 --> 00:30:55,320
Speaker 2: and actually might be useful to stuff that exists and

686
00:30:55,400 --> 00:30:58,240
Speaker 2: might be useful because it solves a problem that the

687
00:30:58,360 --> 00:31:01,800
Speaker 2: thing that it is already. Like for example, a bunch

688
00:31:02,080 --> 00:31:06,120
Speaker 2: I came to several different companies that had a car

689
00:31:06,320 --> 00:31:09,480
Speaker 2: AI assistance whose job was to yell at you if

690
00:31:09,520 --> 00:31:12,520
Speaker 2: you fell asleep or got distracted, and they were all

691
00:31:12,520 --> 00:31:15,680
Speaker 2: built into these giant dashboard things that were the whole

692
00:31:15,760 --> 00:31:19,520
Speaker 2: dashboard is a and it's like, yeah, I can see

693
00:31:19,560 --> 00:31:21,640
Speaker 2: why you need a robot to yell people get distracted

694
00:31:21,960 --> 00:31:23,440
Speaker 2: because we have data.

695
00:31:23,480 --> 00:31:27,160
Speaker 4: Is there putning subway surfers on your fucking car dash.

696
00:31:26,800 --> 00:31:29,160
Speaker 2: We have ample data that shows that when you have

697
00:31:29,280 --> 00:31:32,440
Speaker 2: a giant screen in a car and people use that screen,

698
00:31:32,880 --> 00:31:36,040
Speaker 2: they are actually worse drivers than when they're just drawn

699
00:31:36,320 --> 00:31:39,560
Speaker 2: on a normal car. And so, yes, you have made

700
00:31:39,600 --> 00:31:41,600
Speaker 2: the car. You can show me how this whole dashboard

701
00:31:41,720 --> 00:31:43,160
Speaker 2: you can change it in a second. Look at all

702
00:31:43,160 --> 00:31:45,280
Speaker 2: these different modes you have. You can smartly change your

703
00:31:45,360 --> 00:31:48,080
Speaker 2: dashboard be whatever you want and it'll yell at you

704
00:31:48,080 --> 00:31:49,360
Speaker 2: if you get distracted. And it's like, well, but the

705
00:31:49,360 --> 00:31:51,720
Speaker 2: only reason you're getting distracted is because your entire car

706
00:31:51,840 --> 00:31:55,600
Speaker 2: is a computer screen, which it shouldn't be, and we

707
00:31:55,720 --> 00:31:56,840
Speaker 2: know it shouldn't be.

708
00:31:57,240 --> 00:31:59,920
Speaker 4: They're either trying to solve problems that they created or

709
00:32:00,640 --> 00:32:03,960
Speaker 4: inventing solutions to things that aren't really problems. And like

710
00:32:03,960 --> 00:32:06,280
Speaker 4: with with and this is this specifically with Cloyd, and

711
00:32:06,280 --> 00:32:08,280
Speaker 4: they kept the guy who is like doing the demo

712
00:32:08,360 --> 00:32:11,800
Speaker 4: kept reiterating that Cloyd Cloud or already knows what you

713
00:32:11,920 --> 00:32:14,480
Speaker 4: want before you have to say anything, right, whether that's

714
00:32:14,520 --> 00:32:18,120
Speaker 4: a croissant that's slightly under baked, or he knows had

715
00:32:18,160 --> 00:32:20,520
Speaker 4: a fold laundry just the way you use the way,

716
00:32:21,760 --> 00:32:23,760
Speaker 4: which is what she what she said in a kind

717
00:32:23,760 --> 00:32:27,640
Speaker 4: of self aware ironic tone, because this robot spent two

718
00:32:27,720 --> 00:32:30,600
Speaker 4: minutes trying to fold a single towel and it couldn't

719
00:32:30,640 --> 00:32:33,280
Speaker 4: do it. These things don't work, and they're not meant to.

720
00:32:33,800 --> 00:32:37,080
Speaker 4: It's meant to drive traffic and attention towards the LG brand,

721
00:32:37,080 --> 00:32:38,840
Speaker 4: because there's gona tons of articles being like, look at

722
00:32:38,920 --> 00:32:41,960
Speaker 4: LG's new butler robot, right and that, and that's that's

723
00:32:41,960 --> 00:32:43,960
Speaker 4: all that they're doing at this demo. M HM because

724
00:32:44,000 --> 00:32:46,080
Speaker 4: this is not a real product for sale. It is

725
00:32:46,120 --> 00:32:48,000
Speaker 4: it is meant to drive attention to the brand and

726
00:32:48,040 --> 00:32:50,160
Speaker 4: get articles, and then those articles are going to get

727
00:32:50,160 --> 00:32:53,160
Speaker 4: you know, cited by by other by other lllfs. And

728
00:32:53,200 --> 00:32:56,080
Speaker 4: it's this, it's this cycle that just keeps building. There's

729
00:32:56,080 --> 00:32:58,160
Speaker 4: some really impressive stuff there too. Like I went to

730
00:32:58,160 --> 00:33:01,920
Speaker 4: persona AI's booth had a bunch of computers that had

731
00:33:02,480 --> 00:33:04,240
Speaker 4: without that were not connected to the Internet.

732
00:33:04,320 --> 00:33:05,920
Speaker 2: All the signs told you that. And it has on

733
00:33:06,160 --> 00:33:10,400
Speaker 2: pc AI image generators where it's all on the machine itself,

734
00:33:10,960 --> 00:33:13,800
Speaker 2: and you know, one of the representatives said, come on,

735
00:33:13,840 --> 00:33:15,600
Speaker 2: give it a prompt, it will generate an image. And

736
00:33:15,640 --> 00:33:17,720
Speaker 2: I've never used an AI image generator, and so I

737
00:33:17,800 --> 00:33:20,000
Speaker 2: kind of panic. I'll be honest, like I got freaked out.

738
00:33:20,080 --> 00:33:21,320
Speaker 4: It's gonna be some bullshit.

739
00:33:22,840 --> 00:33:24,320
Speaker 3: Tom size more with dead kid.

740
00:33:24,400 --> 00:33:27,240
Speaker 2: Yeah yeah, now that's not Tom size Moore. But that

741
00:33:27,400 --> 00:33:30,200
Speaker 2: is a man cuddling a dead child. The kid doesn't

742
00:33:30,200 --> 00:33:34,080
Speaker 2: the face is gone, and that's not Tom size more like.

743
00:33:34,440 --> 00:33:38,600
Speaker 4: But you know, the future, the future, No, this this

744
00:33:38,760 --> 00:33:41,280
Speaker 4: I can't. I don't want to harp on Cloyd too much,

745
00:33:41,520 --> 00:33:43,080
Speaker 4: but it's so it's such.

746
00:33:42,920 --> 00:33:46,080
Speaker 2: A good every additional time you say, Cloyd, it sounds

747
00:33:46,120 --> 00:33:46,800
Speaker 2: less like a work.

748
00:33:46,840 --> 00:33:49,400
Speaker 4: It's a good example of what this show is specifically

749
00:33:49,400 --> 00:33:52,120
Speaker 4: this year, how there's there's there's nothing new, so they're

750
00:33:52,160 --> 00:33:56,800
Speaker 4: reaching into like into like the cees of of of yesteryear. Yeah,

751
00:33:56,840 --> 00:33:59,520
Speaker 4: I'm trying to push two things together and pretend that

752
00:33:59,560 --> 00:34:02,440
Speaker 4: it's a new thing. And when it doesn't work, they're like, oh,

753
00:34:02,560 --> 00:34:05,680
Speaker 4: this is actually a good thing. He's folding the towel

754
00:34:05,760 --> 00:34:08,160
Speaker 4: just the way I like, and that's bad. Poorly. Look,

755
00:34:08,320 --> 00:34:11,960
Speaker 4: he spends ninety seconds putting a single shirt into the

756
00:34:12,080 --> 00:34:14,520
Speaker 4: washing machine, and this is him being very thorough.

757
00:34:14,640 --> 00:34:16,920
Speaker 3: That was the word. He's being very thorough, really put

758
00:34:17,040 --> 00:34:17,640
Speaker 3: in the time, and.

759
00:34:17,640 --> 00:34:18,920
Speaker 4: You're like, this thing doesn't work.

760
00:34:19,160 --> 00:34:21,560
Speaker 2: Is bad, it's a bad product. Part of the mistake

761
00:34:21,600 --> 00:34:23,160
Speaker 2: they made, I think, is that because this is the

762
00:34:23,239 --> 00:34:26,640
Speaker 2: year of robots, there are robots there that are like

763
00:34:26,680 --> 00:34:30,160
Speaker 2: industrial application robots that are showcasing we have made a

764
00:34:30,280 --> 00:34:33,160
Speaker 2: robot with humanoid hands that is capable of more intricate

765
00:34:33,200 --> 00:34:35,520
Speaker 2: movements than any other human hand robot before, And they

766
00:34:35,520 --> 00:34:38,920
Speaker 2: showed it like intricately folding like a pinwheel, and I

767
00:34:39,040 --> 00:34:41,880
Speaker 2: was like, yeah, that I have not seen a robot

768
00:34:41,920 --> 00:34:44,960
Speaker 2: with humanoid hands that has had that much dexterity before.

769
00:34:45,440 --> 00:34:48,680
Speaker 2: I'm sure that has some useful industrial applications. And then

770
00:34:48,880 --> 00:34:50,600
Speaker 2: you go from that and there's a bunch of other

771
00:34:50,680 --> 00:34:52,399
Speaker 2: robots that are industrial where it's like, we have built

772
00:34:52,400 --> 00:34:54,520
Speaker 2: a new tip for this robot that allows it to

773
00:34:54,520 --> 00:34:57,000
Speaker 2: do this kind of automotive work, or allows it to

774
00:34:57,000 --> 00:34:59,919
Speaker 2: do this kind of like manufacturing work, right where I'm like, ayes,

775
00:35:00,000 --> 00:35:03,000
Speaker 2: assume not being an expert on robotics, but you're saying

776
00:35:03,040 --> 00:35:05,520
Speaker 2: it's the world's first robot that can handle this task.

777
00:35:05,840 --> 00:35:08,160
Speaker 2: But that's at least an innovation. You talk about the

778
00:35:08,200 --> 00:35:10,480
Speaker 2: ethics of replacing him, but like, that's a thing that

779
00:35:10,640 --> 00:35:13,479
Speaker 2: is a new capability. And you have those robots next

780
00:35:13,480 --> 00:35:15,680
Speaker 2: to the robots that human beings are actally meant to

781
00:35:15,680 --> 00:35:18,360
Speaker 2: buy and put in their homes, none of which work well,

782
00:35:18,680 --> 00:35:21,719
Speaker 2: all of which are exactly as capable as robots twenty

783
00:35:21,800 --> 00:35:24,200
Speaker 2: years ago, except there's a chatbot on them, and it

784
00:35:24,280 --> 00:35:26,600
Speaker 2: makes it all look worse. Where you're showing me what

785
00:35:26,760 --> 00:35:29,839
Speaker 2: theoretically the best in robotics can do, and then I'm

786
00:35:29,840 --> 00:35:31,080
Speaker 2: looking at the thing I'm supposed to have in my

787
00:35:31,120 --> 00:35:34,239
Speaker 2: house and it just fell down and it can't fold laundry,

788
00:35:34,760 --> 00:35:37,520
Speaker 2: and you want me to spend six thousand dollars or

789
00:35:37,640 --> 00:35:41,879
Speaker 2: twelve thousand dollars. One of the robot THEU I think

790
00:35:41,920 --> 00:35:43,880
Speaker 2: it was like Booster X or something like that. The

791
00:35:43,880 --> 00:35:46,440
Speaker 2: one that was dressed like Michael Jackson. You're supposed to

792
00:35:46,480 --> 00:35:48,279
Speaker 2: have as a companion for your child. It will help

793
00:35:48,280 --> 00:35:51,240
Speaker 2: it with its homework using chat GPT. It's small dancing robots,

794
00:35:51,239 --> 00:35:54,719
Speaker 2: small dancing robots. Yes, yes, the small dancing robot that

795
00:35:54,719 --> 00:35:56,400
Speaker 2: you've been hit in the head with a liquor bottle

796
00:35:56,400 --> 00:35:57,200
Speaker 2: and it won't break.

797
00:35:57,480 --> 00:36:00,640
Speaker 4: That was part of the ad video. You know how

798
00:36:00,680 --> 00:36:02,279
Speaker 4: you always want to hit your get in the head

799
00:36:02,320 --> 00:36:05,600
Speaker 4: with the liquor bottle. Get out this anger with this

800
00:36:05,680 --> 00:36:09,400
Speaker 4: tiny child's high robot robot senator for your child.

801
00:36:10,440 --> 00:36:12,759
Speaker 2: And again, if someone was marketing a robot senator, like

802
00:36:12,800 --> 00:36:14,160
Speaker 2: are you angry at your spouse?

803
00:36:14,680 --> 00:36:16,799
Speaker 3: You can beat the shit out of this robot and

804
00:36:17,040 --> 00:36:19,120
Speaker 3: be fine. At least that's an idea.

805
00:36:19,520 --> 00:36:22,440
Speaker 1: With AI technology, the robot will actually learn your spouse's

806
00:36:22,480 --> 00:36:25,160
Speaker 1: personality and respond accordingly to the beatings.

807
00:36:25,200 --> 00:36:27,759
Speaker 2: Look, look, I've been hitting this robot after I come

808
00:36:27,800 --> 00:36:29,439
Speaker 2: back from work every day for the last two weeks.

809
00:36:29,480 --> 00:36:30,839
Speaker 2: And look as soon as I walk on the door,

810
00:36:30,880 --> 00:36:31,720
Speaker 2: it starts to shake.

811
00:36:33,080 --> 00:36:34,600
Speaker 3: The previous models is just way.

812
00:36:34,600 --> 00:36:35,480
Speaker 1: It wasn't satisfied.

813
00:36:35,560 --> 00:36:37,279
Speaker 2: Yeah, it took a long time for a team to

814
00:36:37,320 --> 00:36:39,319
Speaker 2: figure out how to give a robot PTSD.

815
00:36:39,719 --> 00:36:41,360
Speaker 3: By god, we've crossed the rubicon.

816
00:36:41,880 --> 00:36:44,319
Speaker 4: As you can see, Vegas is taking its toll on

817
00:36:44,360 --> 00:36:48,600
Speaker 4: our psyches as we've done a extended intimate partner abuse bid.

818
00:36:49,280 --> 00:36:50,880
Speaker 3: He's not a partner. It's robot Garrison.

819
00:36:51,000 --> 00:36:51,719
Speaker 4: Oh, you're right, it's not.

820
00:36:51,800 --> 00:36:54,680
Speaker 2: Also, the robot can think and feel and has core

821
00:36:54,760 --> 00:36:55,839
Speaker 2: memories and can love.

822
00:36:55,880 --> 00:37:01,320
Speaker 4: You don't put those two things together. He's only separate thoughts.

823
00:37:01,400 --> 00:37:03,680
Speaker 3: No, this robot basically has a soul. Watches hit it

824
00:37:03,719 --> 00:37:04,520
Speaker 3: with a liquor bottle.

825
00:37:04,640 --> 00:37:05,319
Speaker 4: It would just be.

826
00:37:05,360 --> 00:37:07,839
Speaker 1: So great to like with all of the how much

827
00:37:07,880 --> 00:37:11,799
Speaker 1: the they're focused on the the AI can develop real

828
00:37:11,920 --> 00:37:14,840
Speaker 1: human connection, but it's also saccharin. I would love to

829
00:37:14,960 --> 00:37:16,840
Speaker 1: just do a booth where it's like we're teaching our

830
00:37:16,960 --> 00:37:17,800
Speaker 1: robots hate.

831
00:37:17,960 --> 00:37:19,280
Speaker 4: They can't know how to hate.

832
00:37:19,480 --> 00:37:21,359
Speaker 2: Yeah, And I do want to end by noting one

833
00:37:21,400 --> 00:37:23,160
Speaker 2: thing that we talked about a little briefly, but is

834
00:37:23,239 --> 00:37:25,000
Speaker 2: kind of low key The most upsetting thing about this,

835
00:37:25,040 --> 00:37:26,840
Speaker 2: which is I saw a bunch of different booths that

836
00:37:26,960 --> 00:37:29,280
Speaker 2: use the term empathy, and what they meant by empathy

837
00:37:29,400 --> 00:37:33,080
Speaker 2: was the robot can understand and anticipate what you want.

838
00:37:33,320 --> 00:37:36,160
Speaker 2: Right that it's learning you and your patterns in order

839
00:37:36,239 --> 00:37:39,640
Speaker 2: to offer you and more effectively assist you. And I

840
00:37:39,680 --> 00:37:44,360
Speaker 2: guess technically yeah, but reducing the concept of empathy to

841
00:37:44,880 --> 00:37:49,799
Speaker 2: the robot knows when you might want snacks is kind

842
00:37:49,880 --> 00:37:56,040
Speaker 2: of evil, like it's in its freedom's right. Empathy means

843
00:37:56,040 --> 00:37:58,319
Speaker 2: the robot knows when to serve you is like a

844
00:37:58,719 --> 00:37:59,960
Speaker 2: bad way to talk about it.

845
00:38:00,000 --> 00:38:00,400
Speaker 3: Empathy.

846
00:38:00,640 --> 00:38:02,520
Speaker 2: I don't think most people you what is empathy? Well,

847
00:38:02,560 --> 00:38:04,520
Speaker 2: it means someone knows when I want to be up

848
00:38:04,520 --> 00:38:05,600
Speaker 2: sold on a Hyundai.

849
00:38:05,920 --> 00:38:07,120
Speaker 3: That's not what empathy is.

850
00:38:08,160 --> 00:38:12,080
Speaker 1: Yeah, our robot learns empathy by being instrumental to you

851
00:38:12,120 --> 00:38:12,680
Speaker 1: and useful.

852
00:38:12,760 --> 00:38:15,120
Speaker 3: See wenously what you know the core of them.

853
00:38:15,360 --> 00:38:18,520
Speaker 2: We made our robot watch four hours of videos from Gaza,

854
00:38:18,840 --> 00:38:21,840
Speaker 2: and it immediately said, I bet those kids went on

855
00:38:21,960 --> 00:38:24,480
Speaker 2: Undai a Lantra like that.

856
00:38:25,320 --> 00:38:29,160
Speaker 4: I anyway, Yeah, it's if your version of empathy is

857
00:38:29,160 --> 00:38:32,719
Speaker 4: trying to sell coke vanilla. Because we have all of

858
00:38:32,760 --> 00:38:33,560
Speaker 4: this all this stock.

859
00:38:33,800 --> 00:38:37,280
Speaker 3: Oh wait too much. We fucked up. We are in trouble.

860
00:38:37,320 --> 00:38:38,279
Speaker 3: We're underwater.

861
00:38:38,400 --> 00:38:39,279
Speaker 4: That's what empathy is.

862
00:38:39,440 --> 00:38:43,920
Speaker 3: Yeah, anyway, welcome to the future. Everyone's a ces miracle.

863
00:38:44,000 --> 00:38:46,480
Speaker 3: It's a ces miracle. Goodbye.

864
00:38:49,520 --> 00:38:52,000
Speaker 5: It Could Happen Here is a production of cool Zone Media.

865
00:38:52,200 --> 00:38:55,240
Speaker 5: For more podcasts from cool Zone Media, visit our website

866
00:38:55,320 --> 00:38:57,880
Speaker 5: cool Zonemedia dot com, or check us out on the

867
00:38:57,920 --> 00:39:00,959
Speaker 5: iHeartRadio app, Apple Podcasts, or wherever.

868
00:39:00,680 --> 00:39:01,880
Speaker 4: You listen to podcasts.

869
00:39:02,280 --> 00:39:04,239
Speaker 5: You can now find sources for It Could Happen Here,

870
00:39:04,239 --> 00:39:07,240
Speaker 5: listed directly in episode descriptions. Thanks for listening.