WEBVTT - Radio Better Offline: Edward Ongweso Jr. & Allison Morrow 

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<v Speaker 1>Also media.

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<v Speaker 2>Hello and welcome to Better Offline. I'm your host Ed Zichron,

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<v Speaker 2>and we are recording here in beautiful New York City,

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<v Speaker 2>and I have a wonderful pair of guests today. I have,

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<v Speaker 2>of course, Alison Morrow from CNN Nightcap Newsletter and Edward

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<v Speaker 2>Anguiso Junior, the hater himself from the Tech Bubble newsletter.

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<v Speaker 2>Thank you so much for joining me today.

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<v Speaker 3>Great to be here as all.

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<v Speaker 2>So I think we should start with exactly what we

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<v Speaker 2>were just talking about. The open AI claims that they

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<v Speaker 2>have worked out what causes hallucinations. Alison, do you want

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<v Speaker 2>to go over this?

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<v Speaker 3>I should have read the paper a bit more carefully,

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<v Speaker 3>but I can you know. The highlights were getting digested

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<v Speaker 3>yesterday on X and Blue Sky, and it seems like

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<v Speaker 3>it's kind of the test taking problem of when you

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<v Speaker 3>encourage students when they're taking anderdized tests and you don't

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<v Speaker 3>know the answer, you guess, And that's exactly how these

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<v Speaker 3>models are trained, and they don't. You don't get a

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<v Speaker 3>point if you say, I don't know, come up with something,

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<v Speaker 3>and the models are meant to keep guessing until they

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<v Speaker 3>get something close to right. Right, So that's why you

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<v Speaker 3>get a lot of nonsense and hallucinations and open AI

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<v Speaker 3>at least in their reading of it, says oh, this

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<v Speaker 3>is a simple solution. We'll just encourage the models to

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<v Speaker 3>understand better when it's like a binary question and when

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<v Speaker 3>you can say I don't know the answer to that,

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<v Speaker 3>so we'll see.

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<v Speaker 2>I read the paper, albeit not today because my brain

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<v Speaker 2>just immediately read it as marketing copy. Just put that,

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<v Speaker 2>replaced it with another anime theme song. I went through

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<v Speaker 2>it and I was like, okay, so it's going to

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<v Speaker 2>encourage them to say I don't know. This feels like

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<v Speaker 2>a very flat view of what hallucinations are, though, because

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<v Speaker 2>hallucinations as people know them authoritatively stating something that isn't true,

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<v Speaker 2>but hallucinations in life coding model are. It will just

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<v Speaker 2>say yeah, I did that when it didn't. This is

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<v Speaker 2>very common you going through the Cursor and the Claude

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<v Speaker 2>code forums, you can see this or subredits at least,

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<v Speaker 2>and it's not that they say something that's true. They

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<v Speaker 2>don't know that something's not true also, so they might

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<v Speaker 2>say they don't know, and it's just very silly because

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<v Speaker 2>they claim that they're going to fix this problem with

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<v Speaker 2>this solution, but they've done years and hundreds of millions

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<v Speaker 2>of dollars of reinforcement learning. Do they unreinforce do they

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<v Speaker 2>reinforce it? More so that I don't know. I'm fucking

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<v Speaker 2>tired of these companies are going to be completely honest.

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<v Speaker 2>I realized this is kind of cliche for the show,

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<v Speaker 2>but it's the fact that these things get written up

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<v Speaker 2>as very serious things. US is saying, you, guys still

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<v Speaker 2>haven't worked this out. It's kind of frustrating to me.

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<v Speaker 2>And they don't seem to be the models. Some getting

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<v Speaker 2>bad dimension returns and all that, but this is the

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<v Speaker 2>best they've got.

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<v Speaker 4>I mean, does this kind of thrust feel like, you know,

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<v Speaker 4>do you guys feel like it's a downstream of the

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<v Speaker 4>attempts by some of these firms to say, oh, actually,

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<v Speaker 4>like if we dialor bad the sick a fancy, you know,

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<v Speaker 4>then we'll be able to have a much more engaging

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<v Speaker 4>consumer product. We'll be able to have it hallucinate less,

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<v Speaker 4>you know, and do psychosis less.

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<v Speaker 2>You know.

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<v Speaker 4>But does it do they feel linked in that way?

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<v Speaker 4>Does it just feel like a they you know, another

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<v Speaker 4>maybe another dead end.

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<v Speaker 2>I feel like it's just them trying to work shit

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<v Speaker 2>out and trying to like this also feels like a

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<v Speaker 2>very rudimentary answer that they probably already had. It doesn't.

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<v Speaker 2>Anytime someone comes up with an idea that I can

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<v Speaker 2>that's technical, I'm like, okay, mate, you cannot be cooking

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<v Speaker 2>with gas. This is this cannot be that good an idea.

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<v Speaker 2>And the thing is the sick of fancy problem I

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<v Speaker 2>don't think is solvable through solving hallucinations. The problem is

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<v Speaker 2>it should stop. It needs to just It should not

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<v Speaker 2>say I don't understand, it should say no. Actually, you

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<v Speaker 2>sound like you think I'm God King and that you

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<v Speaker 2>are God King, and that as God kings together we

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<v Speaker 2>will destroy the world. Yeah. I mean, I mean my

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<v Speaker 2>case is true.

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<v Speaker 4>But do you think like the emphasis or the attempt

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<v Speaker 4>to overcorrect on that is leading them to go down

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<v Speaker 4>solutions where they think, oh, like if we just like

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<v Speaker 4>this and that, then we.

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<v Speaker 2>Yeah, yes, yes, actually I think that that's right because

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<v Speaker 2>they have the I don't know if you saw the

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<v Speaker 2>Attorney general. Attorney's general from Delaware and California sent a

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<v Speaker 2>letter to open AI last week saying, hey, look, if

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<v Speaker 2>you need to fix these safety protocols, you need to

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<v Speaker 2>actually have them, because what you have right now doesn't work,

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<v Speaker 2>and we will block your nonprofit otherwise. I was really

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<v Speaker 2>happy to read that right up until the bit they

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<v Speaker 2>say we wish you well with your quest for AI dominance.

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<v Speaker 2>I'm just like, these are the fucking people protecting us

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<v Speaker 2>from the They're like, no, it's great, you want to

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<v Speaker 2>dominate everyone with AI. It's just you drove some people

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<v Speaker 2>to a murder suicide situation.

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<v Speaker 3>And wasn't that part of the problem with GPT five

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<v Speaker 3>as they tried to dial back the SICKA fancy and

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<v Speaker 3>then it took away the character and like the humanness

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<v Speaker 3>that people had gotten attached to in GPT four, yeah,

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<v Speaker 3>in earlier models, and like it all seems to come

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<v Speaker 3>back to open. AI doesn't realize that what it's selling

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<v Speaker 3>often is like a companion and a therapist, and it doesn't.

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<v Speaker 3>It reminds me of like Q tips. You're not supposed

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<v Speaker 3>but them in your ear right, but that's all anyone

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<v Speaker 3>uses qtubes.

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<v Speaker 2>I was gonna say they're not meant to do, of.

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<v Speaker 3>Course not, but like that's the consumer, that's how the

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<v Speaker 3>consumer has chosen to use this product. And they're saying like, well,

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<v Speaker 3>we don't condone that, we don't think it's like the

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<v Speaker 3>best use of our product, and you know, we know

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<v Speaker 3>better than the than the consumer, of course.

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<v Speaker 2>I actually I think it's one abstraction high, which is

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<v Speaker 2>I don't think they know what chat GPT is. I don't.

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<v Speaker 2>I did AI boaster piece came out last week, but

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<v Speaker 2>it was I had this whole thing where it was.

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<v Speaker 2>It's so they don't describe what chat GPT does. If

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<v Speaker 2>you're on the website, like it's like, yeah, analyzes data

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<v Speaker 2>and it's it's brainstorming and charts and stuff. The agent

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<v Speaker 2>does things too, Please buy it and then you try

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<v Speaker 2>and like actually look for any use cases and there's nothing.

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<v Speaker 2>I think that they're just guessing. But my favorite thing

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<v Speaker 2>I'm seeing, my favorite thing is that now people are

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<v Speaker 2>like GPT four h isn't the same because they brought

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<v Speaker 2>it back and now people are just freaking out. People like, no,

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<v Speaker 2>it's not the same, it's different. Somehow it's on I

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<v Speaker 2>honestly don't know if it's true. I just think that

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<v Speaker 2>they've entered gamer mode. This is just what. This is

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<v Speaker 2>how gamers react. It's like the gun isn't the same,

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<v Speaker 2>it's literally the same code. No, you've changed something, You've

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<v Speaker 2>I know, and it's what happens when you release an

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<v Speaker 2>imprecise glazing bot onto the world. It's also really funny

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<v Speaker 2>how literally any of these companies could have been open AI.

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<v Speaker 2>There doesn't seem to be anything special about this company

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<v Speaker 2>at all anymore or ever.

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<v Speaker 4>Well you know, I mean, not everybody can lose as

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<v Speaker 4>much money that feels a very special or have the

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<v Speaker 4>connection to you.

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<v Speaker 2>Oh my god. What I haven't heard from Maco's son

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<v Speaker 2>in the minute. We haven't had an announcement of tomorrow

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<v Speaker 2>or tomorrow is gonna be? I like that he bought

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<v Speaker 2>a he bought a Fox count Lab, an old Fox

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<v Speaker 2>con lab too turned into an AI server building place

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<v Speaker 2>in like Ohio. I think it is. It's like, mate,

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<v Speaker 2>what are you doing? Man? Are you okay? Someone needs

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<v Speaker 2>to check in on mass We need to hold space

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<v Speaker 2>for Masso Shei's son.

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<v Speaker 4>Yeah, bring them on.

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<v Speaker 2>I have asked him. I have genuinely emailed soft Banks

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<v Speaker 2>PR and I've emailed Anthropics PR for Dario and han't

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<v Speaker 2>heard back from either. I assume there's an email issue

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<v Speaker 2>because there's no other reason they wouldn't come on this show.

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<v Speaker 2>It's just it now. I what's fun to watch though

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<v Speaker 2>is considering how many times we've had like AI bubble

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<v Speaker 2>conversations on here, everyone seems to be kind of waking

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<v Speaker 2>up to it. It's kind of fun. Must be clear,

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<v Speaker 2>everyone here was early on this. I was new, actually

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<v Speaker 2>very early. You've been early on every day as early

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<v Speaker 2>as you No, I give you credit. You're one of

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<v Speaker 2>like the three people who, when the metaverse was happening,

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<v Speaker 2>was actually calling it out. So it's good. It's good

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<v Speaker 2>to see in here, but also insane that it's still going.

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<v Speaker 2>That's what I don't like. This open a one hundred

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<v Speaker 2>and fifteen billion spurned within by twenty twenty eight, I

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<v Speaker 2>think it is. I don't understand how people keep publishing

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<v Speaker 2>this and being like and that will happen.

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<v Speaker 3>I will say, to my relief, the metaverse went away

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<v Speaker 3>quickly because when it first was announced and I wrote

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<v Speaker 3>a piece just being like what.

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<v Speaker 2>Yeah, what is what?

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<v Speaker 3>And then like everything about it seemed really dumb in

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<v Speaker 3>every iteration coming after, and so I was like, oh, okay,

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<v Speaker 3>I wasn't crazy, but with AI and I know you

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<v Speaker 3>can relate to this, I feel crazy because the lack

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<v Speaker 3>of utility is still there and like the absurdity of

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<v Speaker 3>the investment is still there, and it does seem like that.

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<v Speaker 3>That's why I wrote about the vibe shitt like it

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<v Speaker 3>has been like going in Edzitron's favor in the last

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<v Speaker 3>few weeks.

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<v Speaker 2>Fucking vindication finally. But it's it's funny as well because

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<v Speaker 2>even with them, this open Ai story comes out and

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<v Speaker 2>people are still like, yeah, they're gonna burn one hundred

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<v Speaker 2>and fifteen billion dollars. People reported about a month ago

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<v Speaker 2>that they're going to spend thirty billion dollars a year

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<v Speaker 2>on Oracles starting twenty twenty eight. How how how? I

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<v Speaker 2>just That's what I don't understand. How these articles keep

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<v Speaker 2>coming out. And I understand that reporters have to report

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<v Speaker 2>the news and things they have discovered. I get it,

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<v Speaker 2>But can no one just be like and no one

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<v Speaker 2>has any idea where this money's coming from. No one,

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<v Speaker 2>thirty billion dollars a fucking year from Oracle for service

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<v Speaker 2>that are yet to be built, and all of this.

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<v Speaker 2>They don't need to worry about the fact that the

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<v Speaker 2>servers aren't actually built. In Applene Texas is not finished,

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<v Speaker 2>and the money doesn't exist, and it isn't obvious how

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<v Speaker 2>Oracle affords it they will have to take on debt

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<v Speaker 2>to build this, and Crusoe and primary digital Infrastructure have

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<v Speaker 2>already done that. And I mean, other than that, it

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<v Speaker 2>could happen any day. I just wonder if the media

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<v Speaker 2>is actually not prepared for this. And I don't mean

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<v Speaker 2>in a conspiratle way, I mean just in a is

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<v Speaker 2>the media actually set up for companies just lying or

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<v Speaker 2>just projecting.

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<v Speaker 4>I mean, I feel like it reminds me of kind

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<v Speaker 4>of the relationship that maybe our critics or you know,

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<v Speaker 4>our coverage might have for the medium, where there's not

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<v Speaker 4>an inherent antagonism or skepticism of claims that are being offered,

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<v Speaker 4>an assumption of good faith that continually gets betrayed or

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<v Speaker 4>you know, punished, but gets carried on with over and

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<v Speaker 4>over and over again. I feel like the AI bubble

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<v Speaker 4>discussions that we're seeing. Part of me also feels like

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<v Speaker 4>they are going to disappear the second we start to

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<v Speaker 4>see some of the firms maybe announce some favorable metrics,

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<v Speaker 4>even though, as we've been talking about for a long time, right,

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<v Speaker 4>revenues are not there, profits are not there now, the

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<v Speaker 4>burn is only increasing, right, and there's no way forward

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<v Speaker 4>in the short term. Right, you know that I can

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<v Speaker 4>think of where these companies start to actually do the

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<v Speaker 4>things that they're claiming they're going to be doing with

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<v Speaker 4>transforming the world. But I can see a scenario where

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<v Speaker 4>you know, someone has a favorable quarter for adoption even

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<v Speaker 4>though you know, we just I just saw yesterday Apollo

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<v Speaker 4>Global Management was talking about large firms are actually scaling

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<v Speaker 4>back AI adoption, which already wasn't even providing returns and

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<v Speaker 4>was hurting productivity in the first place.

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<v Speaker 1>Right.

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<v Speaker 2>It's and it's really weird as well, because there was

0:10:49.440 --> 0:10:52.040
<v Speaker 2>the MIT study where it's like they said, ninety five

0:10:52.080 --> 0:10:55.480
<v Speaker 2>percent of generative AI integrations don't have any return on investment.

0:10:55.640 --> 0:10:58.360
<v Speaker 2>There are some people critiquing that number, but something that

0:10:58.360 --> 0:10:59.840
<v Speaker 2>comes out of that study that I really like was

0:10:59.880 --> 0:11:03.120
<v Speaker 2>it was saying that enterprise adoption is high, but the

0:11:03.160 --> 0:11:06.480
<v Speaker 2>actual transformation is low because this shit doesn't work. And

0:11:06.600 --> 0:11:10.400
<v Speaker 2>it's it's so strange, and I think that the only

0:11:10.480 --> 0:11:13.080
<v Speaker 2>reason that things won't immediately unrebel with a good quarter

0:11:13.240 --> 0:11:16.559
<v Speaker 2>is because the media has chosen to follow a direction.

0:11:16.679 --> 0:11:20.120
<v Speaker 2>Now you've got the when you've got the Atlantic, the

0:11:20.200 --> 0:11:23.839
<v Speaker 2>goddamn Atlantic publishing a story saying yeah, it turns out

0:11:23.880 --> 0:11:26.080
<v Speaker 2>that AI isn't really doing much, but it's holding up

0:11:26.120 --> 0:11:29.480
<v Speaker 2>our economy. It's like, holy shit, the Atlantic's willing to

0:11:29.480 --> 0:11:32.760
<v Speaker 2>admit something that happened happened. I didn't even know this

0:11:32.880 --> 0:11:35.640
<v Speaker 2>was in there. I thought that they just wrote up

0:11:35.640 --> 0:11:37.559
<v Speaker 2>whatever was email to them by and dohold.

0:11:37.320 --> 0:11:39.080
<v Speaker 4>Your bread, they just published Mike Solana.

0:11:40.200 --> 0:11:43.520
<v Speaker 2>Yeah, actually I retract all my statements to But it's

0:11:43.760 --> 0:11:45.800
<v Speaker 2>I think with the media.

0:11:46.120 --> 0:11:49.720
<v Speaker 3>I see it in political reporting and business reporting in tech.

0:11:50.559 --> 0:11:55.640
<v Speaker 3>There's a deference to authority that I think American media,

0:11:55.720 --> 0:11:59.800
<v Speaker 3>but all media, have an issue with. And I think

0:11:59.840 --> 0:12:02.880
<v Speaker 3>that sort of speaks to the underlying economics of being

0:12:02.960 --> 0:12:06.840
<v Speaker 3>in media right now, where there's a general chill both

0:12:06.880 --> 0:12:12.240
<v Speaker 3>economically and politically. Reporters are worried about their bylines being

0:12:12.320 --> 0:12:14.679
<v Speaker 3>out there and getting stuff wrong. And I'm not saying

0:12:14.679 --> 0:12:16.640
<v Speaker 3>that that's an excuse, but I do think that is

0:12:16.679 --> 0:12:20.319
<v Speaker 3>an institutional mindset that has taken route, especially in the

0:12:20.400 --> 0:12:23.200
<v Speaker 3>last ten years, that's just become like really hard to

0:12:23.200 --> 0:12:26.400
<v Speaker 3>be a journalist and to do it right. But you

0:12:26.520 --> 0:12:29.199
<v Speaker 3>are starting to see that MIT report was so important

0:12:29.200 --> 0:12:34.040
<v Speaker 3>because it caused people on Wall Street authority figures to

0:12:34.480 --> 0:12:37.439
<v Speaker 3>say hmm, I don't know about this, And then that

0:12:37.480 --> 0:12:41.040
<v Speaker 3>got a lot of mainstream financial media to kind of

0:12:41.080 --> 0:12:44.680
<v Speaker 3>like do that questioning headline about AI that they maybe

0:12:44.720 --> 0:12:46.160
<v Speaker 3>wouldn't have done six months ago.

0:12:46.440 --> 0:12:48.440
<v Speaker 2>I do like that there's a rumor about the next

0:12:48.440 --> 0:12:52.080
<v Speaker 2>deep Seek model doing agents. They're not going to, but

0:12:52.200 --> 0:12:54.120
<v Speaker 2>even just like if that comes out and they even

0:12:54.120 --> 0:12:56.080
<v Speaker 2>claim they can, I think that might have a market

0:12:56.080 --> 0:12:58.439
<v Speaker 2>panic just because they'll be like, ah, China, I.

0:12:58.360 --> 0:13:00.800
<v Speaker 4>Mean yeah, I mean that's I. I actually think there's

0:13:00.840 --> 0:13:03.000
<v Speaker 4>something to that, right, because you know, we did agents here,

0:13:03.360 --> 0:13:06.760
<v Speaker 4>didn't do shed for sales powers really the market did

0:13:06.760 --> 0:13:07.439
<v Speaker 4>the market even?

0:13:07.480 --> 0:13:11.920
<v Speaker 2>Really? Actually and a wonderful story from this information open

0:13:11.960 --> 0:13:15.559
<v Speaker 2>AI in their in their whole projections through twenty twenty nine,

0:13:15.559 --> 0:13:17.600
<v Speaker 2>they've reduced the amount of money of the micromagents by

0:13:17.600 --> 0:13:23.880
<v Speaker 2>twenty six billion dollars. Why I want anyway? So, but yeah,

0:13:23.920 --> 0:13:27.200
<v Speaker 2>it's like that this deep Seek thing could inspire people

0:13:27.240 --> 0:13:30.319
<v Speaker 2>to get scared horribly because no one actually believes that

0:13:30.360 --> 0:13:33.400
<v Speaker 2>agents exist. Looks they don't, but they think they do,

0:13:33.440 --> 0:13:36.120
<v Speaker 2>but they will, but they won't. It's this I don't

0:13:36.120 --> 0:13:38.240
<v Speaker 2>think I've ever actually seen anything like this in tech.

0:13:38.240 --> 0:13:40.760
<v Speaker 2>I'm gonna be honest, it's worse than crypto, even worse

0:13:40.800 --> 0:13:42.720
<v Speaker 2>than just the general generative AI. I think is this

0:13:42.800 --> 0:13:45.719
<v Speaker 2>concept of agents though, because I saw some fucking thing

0:13:45.800 --> 0:13:49.440
<v Speaker 2>about some one political blog saying that Donald Trump would

0:13:49.440 --> 0:13:52.080
<v Speaker 2>do some sort of act he would do the I

0:13:52.120 --> 0:13:53.840
<v Speaker 2>forget the exact thing, but it would be an act

0:13:53.880 --> 0:13:57.839
<v Speaker 2>that would make AI copyright holders just handshit over to

0:13:57.880 --> 0:14:00.800
<v Speaker 2>AI due to us needing to beat China. And it

0:14:00.880 --> 0:14:04.119
<v Speaker 2>mentioned with you know, like, yeah, the growing agency capabilities

0:14:04.160 --> 0:14:06.280
<v Speaker 2>of AI. It's just what the fuck is that. I've

0:14:06.280 --> 0:14:08.199
<v Speaker 2>never seen a tech thing in my life now that

0:14:08.320 --> 0:14:10.600
<v Speaker 2>has not existed like this, and people talk about it

0:14:10.640 --> 0:14:11.200
<v Speaker 2>like it's real.

0:14:11.760 --> 0:14:14.280
<v Speaker 4>And I think also it's interesting to see the more

0:14:14.440 --> 0:14:18.080
<v Speaker 4>it doesn't manifest, the more some of the recommendations to

0:14:18.160 --> 0:14:21.360
<v Speaker 4>make them happen just sound more and more like these

0:14:21.360 --> 0:14:24.440
<v Speaker 4>are also things that might somehow bend the cost curve

0:14:24.440 --> 0:14:27.560
<v Speaker 4>in our direction. Maybe we should make the Internet unusable

0:14:27.600 --> 0:14:30.360
<v Speaker 4>to anything other than some of these programs. Yeah right,

0:14:30.840 --> 0:14:35.160
<v Speaker 4>And you know, I'm curious which one is going to

0:14:35.240 --> 0:14:38.640
<v Speaker 4>give out first, Like the really savvy ability a lot

0:14:38.640 --> 0:14:43.040
<v Speaker 4>of these firms have had in spinning, sputtering or you know,

0:14:43.320 --> 0:14:47.920
<v Speaker 4>spinning you know, a crisis that might drain the markets

0:14:48.000 --> 0:14:50.560
<v Speaker 4>or deter investors and to oh, actually we just need

0:14:50.600 --> 0:14:53.320
<v Speaker 4>even more capital, similar to what they did with deep Seek.

0:14:53.640 --> 0:14:57.120
<v Speaker 4>The solution is even more compute intensive models. You know,

0:14:57.160 --> 0:14:58.880
<v Speaker 4>whether they're going to be able to do that faster

0:14:59.000 --> 0:15:02.120
<v Speaker 4>than people wising up and saying, you know, maybe we

0:15:02.160 --> 0:15:05.960
<v Speaker 4>shouldn't misallocate trillions of dollars a capital over the next

0:15:05.960 --> 0:15:06.840
<v Speaker 4>few years towards this.

0:15:07.000 --> 0:15:09.880
<v Speaker 2>But this is the thing, though, I don't think there's

0:15:09.920 --> 0:15:13.400
<v Speaker 2>anything stopping this, because the suggested thing was the okay,

0:15:13.440 --> 0:15:16.040
<v Speaker 2>so all of these modial companies can steal from everyone,

0:15:16.160 --> 0:15:18.880
<v Speaker 2>which is what happened already even with this anthropic settlement.

0:15:18.960 --> 0:15:21.400
<v Speaker 2>It's not it's great people are getting three thousand dollars.

0:15:21.440 --> 0:15:22.880
<v Speaker 2>I love that, but.

0:15:22.680 --> 0:15:24.840
<v Speaker 4>It's also what the companies are offering that's similar to

0:15:24.840 --> 0:15:27.600
<v Speaker 4>what the your payout would have been if you said, yeah, right,

0:15:28.640 --> 0:15:31.040
<v Speaker 4>I didn't know that. I think like some publishers were offering,

0:15:31.360 --> 0:15:33.800
<v Speaker 4>or you know, trying to ask authors, Hey, if we

0:15:33.880 --> 0:15:36.440
<v Speaker 4>pay you this, would you allow your book to be

0:15:36.520 --> 0:15:39.320
<v Speaker 4>trained on would you allow us, you know, be put

0:15:39.360 --> 0:15:42.640
<v Speaker 4>into a data set. The payment that you're getting from

0:15:42.640 --> 0:15:45.120
<v Speaker 4>the settlement feels or reminds me of the amount of

0:15:45.120 --> 0:15:50.720
<v Speaker 4>money that people are being offered and those sorts of deals.

0:15:58.600 --> 0:16:02.480
<v Speaker 2>I think the thing is, Okay, they already steal everything. Well, okay,

0:16:02.520 --> 0:16:04.120
<v Speaker 2>we need to give them as much money as possible.

0:16:04.120 --> 0:16:06.320
<v Speaker 2>We've already done that. Are we just going to do

0:16:06.360 --> 0:16:08.120
<v Speaker 2>this forever? Because even if we do this for rever,

0:16:08.200 --> 0:16:11.040
<v Speaker 2>nothing's going to change, even if I'm completely wrong and

0:16:11.120 --> 0:16:15.360
<v Speaker 2>open ai keeps going another five years. Okay, so we're

0:16:15.400 --> 0:16:17.400
<v Speaker 2>just going to annihilate one hundred and fifteen billion dollars.

0:16:17.560 --> 0:16:19.840
<v Speaker 2>There is no there are no more things here like

0:16:20.320 --> 0:16:24.480
<v Speaker 2>they're projections open ays projections from the information their chart.

0:16:24.520 --> 0:16:26.200
<v Speaker 2>I don't even need to show you this because this

0:16:26.360 --> 0:16:29.680
<v Speaker 2>is just fan fiction at this point. There is in

0:16:29.720 --> 0:16:32.120
<v Speaker 2>twenty twenty six starting there is this growth of this

0:16:32.200 --> 0:16:36.560
<v Speaker 2>orange thing that is other revenue. Who knows what it is?

0:16:37.200 --> 0:16:39.360
<v Speaker 2>I don't know. Open Ai doesn't seem to And that's

0:16:39.360 --> 0:16:41.200
<v Speaker 2>really important because they're going to make what looks like

0:16:41.280 --> 0:16:45.480
<v Speaker 2>several billion dollars from this next year. What the fuck

0:16:45.600 --> 0:16:48.280
<v Speaker 2>is going Every time I look at this company, I

0:16:48.280 --> 0:16:50.520
<v Speaker 2>feel a little more insane because they've now lowered their

0:16:50.560 --> 0:16:53.600
<v Speaker 2>expectations of selling their access to their models by five

0:16:53.600 --> 0:16:56.240
<v Speaker 2>billion dollars over the next few years. What even is

0:16:56.280 --> 0:16:58.720
<v Speaker 2>open ai at this point? Is it just a wrap?

0:16:58.760 --> 0:17:01.600
<v Speaker 2>Have they become a wrapper company of their own models?

0:17:01.880 --> 0:17:05.359
<v Speaker 2>They're no better than Cursor. It's just it's so weird,

0:17:05.480 --> 0:17:07.359
<v Speaker 2>and I realize them kind of going in circles at

0:17:07.359 --> 0:17:12.520
<v Speaker 2>this point, but it's I even the metaverse, even Crypto,

0:17:12.760 --> 0:17:15.800
<v Speaker 2>even Crypto functioned. It was bad. It's still bad. It

0:17:15.880 --> 0:17:19.000
<v Speaker 2>is bad cloud software, but it still did the thing. Hey,

0:17:19.040 --> 0:17:22.480
<v Speaker 2>I doesn't even seem to be doing it, and they

0:17:22.480 --> 0:17:24.480
<v Speaker 2>need more money to prove that it can't do it.

0:17:24.520 --> 0:17:27.200
<v Speaker 2>And actually they don't have enough right now, but they're

0:17:27.240 --> 0:17:30.160
<v Speaker 2>going to need even more. I don't even know how

0:17:30.200 --> 0:17:32.440
<v Speaker 2>people are still taking this seriously because on top of that,

0:17:32.840 --> 0:17:36.879
<v Speaker 2>did you hear about the Microsoft negotiations over the nonprofit.

0:17:36.800 --> 0:17:37.520
<v Speaker 4>I've been hearing.

0:17:37.760 --> 0:17:41.199
<v Speaker 2>Well, they're delaying it to next year. They have to.

0:17:41.320 --> 0:17:42.760
<v Speaker 2>They need to convert by the end of the year

0:17:42.760 --> 0:17:45.480
<v Speaker 2>otherwise SoftBank comes their round in half. And everyone's just like, yeah,

0:17:45.480 --> 0:17:48.199
<v Speaker 2>I'll be fine, mate, it'll work it out. What the

0:17:48.240 --> 0:17:50.919
<v Speaker 2>fuck have you have either of you ever? I know

0:17:51.240 --> 0:17:53.400
<v Speaker 2>ed you covered Uber a lot. I don't even think

0:17:53.400 --> 0:17:55.000
<v Speaker 2>the economics match with that either.

0:17:55.200 --> 0:17:58.400
<v Speaker 4>No. I mean, you know, it's interesting because I think

0:17:59.480 --> 0:18:05.119
<v Speaker 4>Uber's strategy, central strategy from the beginning was, you know,

0:18:05.160 --> 0:18:08.040
<v Speaker 4>we have a few existing playbooks that we need to reference,

0:18:08.400 --> 0:18:12.199
<v Speaker 4>you know, the coke deregulation of the taxi industry in

0:18:12.280 --> 0:18:16.960
<v Speaker 4>the nineties, as well as Regula deregulatory campaigns that they led,

0:18:18.440 --> 0:18:22.440
<v Speaker 4>you know, in Seattle and historic campaigns in San Francisco.

0:18:22.960 --> 0:18:26.399
<v Speaker 4>There's a lot that we can reference. And if we

0:18:26.440 --> 0:18:30.480
<v Speaker 4>can figure out a way to bootstrap ourselves onto the

0:18:30.520 --> 0:18:36.400
<v Speaker 4>model and onto those previous histories of deregulation while delaying

0:18:36.680 --> 0:18:39.920
<v Speaker 4>scrutiny long enough our economics to actually, you know, get

0:18:39.960 --> 0:18:41.639
<v Speaker 4>to a profitable place, we'll get there, which is what

0:18:41.680 --> 0:18:44.480
<v Speaker 4>they did right. But even then, I mean, I feel

0:18:44.560 --> 0:18:47.280
<v Speaker 4>like from the beginning, as much as I hated a

0:18:47.320 --> 0:18:50.000
<v Speaker 4>lot of the coverage of Uber for years, the people

0:18:50.000 --> 0:18:53.199
<v Speaker 4>who were always correct about it, We're like the labor

0:18:53.920 --> 0:18:56.200
<v Speaker 4>reporters who had actually, you know, if you spend time

0:18:56.200 --> 0:18:58.480
<v Speaker 4>talking to the drivers, that will lead you to be

0:18:58.520 --> 0:19:00.600
<v Speaker 4>a little bit more interested in the you know, what

0:19:00.760 --> 0:19:04.399
<v Speaker 4>can justify the suffering behind this, and then you almost

0:19:04.440 --> 0:19:08.440
<v Speaker 4>always will see that there's no act. At that point,

0:19:08.480 --> 0:19:10.520
<v Speaker 4>there were no way the unit economics worked unless you

0:19:10.520 --> 0:19:11.320
<v Speaker 4>subsidize everything.

0:19:11.400 --> 0:19:11.560
<v Speaker 1>Yeah.

0:19:11.560 --> 0:19:11.960
<v Speaker 2>I feel like.

0:19:11.960 --> 0:19:14.960
<v Speaker 4>Similarly, there's something going on with with artificial intelligence firms

0:19:14.960 --> 0:19:19.080
<v Speaker 4>and the global AI value chain where if you start

0:19:19.160 --> 0:19:22.080
<v Speaker 4>with a labor analysis and you look at you know,

0:19:22.119 --> 0:19:25.359
<v Speaker 4>invisible workers or ghost workers that are integitical.

0:19:24.920 --> 0:19:27.520
<v Speaker 2>The Kenyan people training the models m M yeah.

0:19:27.440 --> 0:19:30.720
<v Speaker 4>Or labeling or you know, an any any laborer that's

0:19:30.840 --> 0:19:33.639
<v Speaker 4>out of sight, out of mind. You know, then the

0:19:34.080 --> 0:19:36.520
<v Speaker 4>you know, starting there and going up, it becomes hard

0:19:36.560 --> 0:19:40.239
<v Speaker 4>to ask, Okay, how are we supposed to allocate all

0:19:40.280 --> 0:19:44.040
<v Speaker 4>this capital towards a model that, as is right now

0:19:44.280 --> 0:19:46.200
<v Speaker 4>is cutting all these corners for costs and it's still

0:19:46.240 --> 0:19:48.399
<v Speaker 4>burning tens and tens and tens of billions of dollars

0:19:48.400 --> 0:19:50.040
<v Speaker 4>and it's asking for trillions of dollars more.

0:19:51.880 --> 0:19:52.439
<v Speaker 2>But I don't know.

0:19:52.480 --> 0:19:54.600
<v Speaker 4>I mean, part of my fear is that they are

0:19:54.640 --> 0:19:57.199
<v Speaker 4>successful in the way that Uber was, where if you

0:19:57.240 --> 0:20:00.520
<v Speaker 4>get enough buy in from military industrial comp well, you know,

0:20:00.600 --> 0:20:03.240
<v Speaker 4>for an AI's case, if you got enough buying from

0:20:03.359 --> 0:20:06.240
<v Speaker 4>military doustrial complex, if you get enough buy in from

0:20:06.440 --> 0:20:09.720
<v Speaker 4>UH you know, social programs and interfacing them and helping

0:20:09.760 --> 0:20:12.040
<v Speaker 4>cut cutting them or redirect traffic through them, if you

0:20:12.040 --> 0:20:14.040
<v Speaker 4>get enough buy in from other tech firms, if you

0:20:14.080 --> 0:20:16.600
<v Speaker 4>get rents from other startups they need to use and

0:20:16.680 --> 0:20:19.320
<v Speaker 4>get access to your product. And also if you graft

0:20:19.359 --> 0:20:23.199
<v Speaker 4>yourself onto everybody's daily interactions, daily lives, the way they

0:20:23.240 --> 0:20:25.480
<v Speaker 4>interface with the Internet, can you actually make it work?

0:20:25.560 --> 0:20:27.520
<v Speaker 4>Which is also another way to say, like, what if

0:20:27.560 --> 0:20:28.919
<v Speaker 4>you just become a massive parasite?

0:20:29.640 --> 0:20:33.000
<v Speaker 2>Funny, the funny and grim thing is is AI is

0:20:33.000 --> 0:20:36.280
<v Speaker 2>a terrible parasite. It's not good at it. It doesn't

0:20:36.320 --> 0:20:39.480
<v Speaker 2>like because Uber's success came from being able to graft

0:20:39.520 --> 0:20:43.480
<v Speaker 2>itself on through utility and subsidized pricing. That meant that

0:20:43.520 --> 0:20:46.320
<v Speaker 2>everyone used it and also cabs kind of fucking sucked. Yeah,

0:20:46.359 --> 0:20:47.600
<v Speaker 2>I mean, yeah, they sucked.

0:20:47.640 --> 0:20:50.120
<v Speaker 4>And also transit in most city sucks, and I mean

0:20:50.280 --> 0:20:51.200
<v Speaker 4>it has only gone worse.

0:20:51.359 --> 0:20:55.520
<v Speaker 2>The inherent colonialism of most technology applies very good from

0:20:55.600 --> 0:20:58.080
<v Speaker 2>Karen Howe. Of course, Empire of Ai. Empires of Ai

0:20:58.200 --> 0:21:01.240
<v Speaker 2>did NEP's a great book, but in this one, it's

0:21:01.320 --> 0:21:03.800
<v Speaker 2>kind of shit colonialism as well, because they don't even

0:21:03.880 --> 0:21:06.520
<v Speaker 2>they haven't found a way to actually exploit in a

0:21:06.520 --> 0:21:08.560
<v Speaker 2>way that's profitable. They haven't found a way to use

0:21:08.640 --> 0:21:11.160
<v Speaker 2>human beings because the fundamental thing they want to do.

0:21:11.440 --> 0:21:13.840
<v Speaker 2>It's kind of like if Uber sometimes you got in

0:21:13.880 --> 0:21:15.560
<v Speaker 2>the car and you got out at the wrong place,

0:21:15.600 --> 0:21:18.399
<v Speaker 2>and I don't mean like in a different country, or

0:21:18.440 --> 0:21:21.320
<v Speaker 2>you got into the car and it just exploded sometimes

0:21:21.400 --> 0:21:23.840
<v Speaker 2>And I sound like I'm joking, but it really is

0:21:24.040 --> 0:21:27.280
<v Speaker 2>that bad. And on top of it, it's not replacing labor.

0:21:27.440 --> 0:21:29.480
<v Speaker 2>And it's also not the kind of tech that can

0:21:29.560 --> 0:21:33.360
<v Speaker 2>replace labor. So I it's my grand theory that they're

0:21:33.400 --> 0:21:35.560
<v Speaker 2>just playing the hits. They just they're trying in the

0:21:35.560 --> 0:21:38.560
<v Speaker 2>same way that you just eloquently put Uber played the

0:21:38.640 --> 0:21:40.800
<v Speaker 2>hits of his how we did deregulation, his how we

0:21:40.840 --> 0:21:42.800
<v Speaker 2>did growth, and this is how software grew in the past.

0:21:43.119 --> 0:21:44.760
<v Speaker 2>I think that AI is trying to do the same thing,

0:21:45.000 --> 0:21:47.160
<v Speaker 2>and it's bad at it. It's like watching a new

0:21:47.240 --> 0:21:50.240
<v Speaker 2>class of dipshit try and do what the more evil

0:21:50.240 --> 0:21:54.200
<v Speaker 2>dipshits of the past did and fail. In fact, these

0:21:54.240 --> 0:21:56.320
<v Speaker 2>lobbying groups lobbying for AI. I hear a lot of

0:21:56.320 --> 0:21:58.720
<v Speaker 2>people saying, oh, they're lobbying their lobby It's like what for.

0:21:59.240 --> 0:22:01.960
<v Speaker 2>Oh no, they're gonna build data centers everywhere. They already do.

0:22:01.960 --> 0:22:03.960
<v Speaker 2>They're gonna steal from it. They already do. They're trying

0:22:03.960 --> 0:22:07.120
<v Speaker 2>to replace, They're already trying everything that they that they

0:22:07.240 --> 0:22:10.879
<v Speaker 2>everyone's scared of. They already can do. Other than the

0:22:11.200 --> 0:22:14.720
<v Speaker 2>doing part, they can't do any of that. I'm sorry,

0:22:14.720 --> 0:22:17.320
<v Speaker 2>I just I just remembered as well yesterday trying to

0:22:17.359 --> 0:22:19.159
<v Speaker 2>read that because I went on the chat gpt pro

0:22:19.240 --> 0:22:22.280
<v Speaker 2>subreddit because I hate myself, and I was trying to

0:22:22.280 --> 0:22:24.720
<v Speaker 2>find someone who'd used the agent, and every post was

0:22:24.720 --> 0:22:27.240
<v Speaker 2>someone saying, anyone ever used the agent, You've got any tips?

0:22:27.240 --> 0:22:31.679
<v Speaker 2>And everyone's just it doesn't fucking work. It's broken. It's actually,

0:22:31.680 --> 0:22:34.359
<v Speaker 2>here's a good question, asn't ed have you? Can you

0:22:34.400 --> 0:22:37.160
<v Speaker 2>think of a company that's ever released something just completely

0:22:37.200 --> 0:22:40.919
<v Speaker 2>broken before? Because the meta us kind of worked. It

0:22:40.960 --> 0:22:43.439
<v Speaker 2>wasn't what they were promising, but it worked. It was

0:22:43.480 --> 0:22:45.400
<v Speaker 2>a virtual world ish.

0:22:45.800 --> 0:22:48.680
<v Speaker 3>I mean, the pharmaceutical industry has a nice long history

0:22:48.880 --> 0:22:54.440
<v Speaker 3>putting out quasi effective drugs that have all kinds of consequences.

0:22:54.520 --> 0:22:57.720
<v Speaker 3>And I can't remember who skeeted it about this a

0:22:57.720 --> 0:22:59.879
<v Speaker 3>few weeks ago. It was after one of the you know,

0:23:00.280 --> 0:23:03.560
<v Speaker 3>it's become such a genre of the journalism right now,

0:23:03.560 --> 0:23:07.200
<v Speaker 3>about AI, about like this man became delusional and had

0:23:07.200 --> 0:23:10.879
<v Speaker 3>a psychotic episode because of his Chatgypt relationship. It was

0:23:10.920 --> 0:23:13.240
<v Speaker 3>one of those going around and someone's skeeded about how

0:23:13.280 --> 0:23:16.119
<v Speaker 3>if there was if this is coming from a pharmaceutical company,

0:23:16.160 --> 0:23:19.560
<v Speaker 3>it would be recalled immediately. There are real regulations in

0:23:19.600 --> 0:23:22.800
<v Speaker 3>place that could actually claw that back and help save

0:23:22.880 --> 0:23:26.240
<v Speaker 3>people's lives. But there are no regulations around AI, so

0:23:26.520 --> 0:23:30.880
<v Speaker 3>we get Chatgypt gods and spiritual awakenings and all these

0:23:31.000 --> 0:23:32.040
<v Speaker 3>psychotic episodes.

0:23:32.080 --> 0:23:34.920
<v Speaker 2>I do think that that stuff is going to genuinely

0:23:34.920 --> 0:23:37.280
<v Speaker 2>be its downfall though, because right now it's burning more

0:23:37.280 --> 0:23:39.840
<v Speaker 2>money than anyone's ever barned before. And the most common

0:23:39.920 --> 0:23:42.280
<v Speaker 2>use case people can talk about is, yeah, it drove

0:23:42.320 --> 0:23:45.879
<v Speaker 2>that guy insane, that guy went crazy. That there are

0:23:45.960 --> 0:23:50.200
<v Speaker 2>children who's horrifying killing themselves because of this thing. That's

0:23:50.200 --> 0:23:53.720
<v Speaker 2>what it's getting known for. And otherwise it's like, yeah,

0:23:53.760 --> 0:23:57.679
<v Speaker 2>your most annoying friend loves this because that really it's them.

0:23:58.280 --> 0:24:00.400
<v Speaker 2>You love them, but they're like I learned about well listen,

0:24:00.480 --> 0:24:04.280
<v Speaker 2>chat JBT is like you didn't well you know on that.

0:24:04.920 --> 0:24:07.760
<v Speaker 4>Part of also part of my a fear I have

0:24:07.920 --> 0:24:11.560
<v Speaker 4>is I think similar to how when firms were rolling

0:24:11.600 --> 0:24:16.359
<v Speaker 4>out facial recognition surveillance and insisting that we need to

0:24:16.359 --> 0:24:21.240
<v Speaker 4>biometric surveillance to help keep city safe, community safe, products safe.

0:24:22.680 --> 0:24:26.160
<v Speaker 4>One angle that people used to attack it was, well,

0:24:26.200 --> 0:24:28.560
<v Speaker 4>you know, like the racial bias of these things will

0:24:28.560 --> 0:24:34.520
<v Speaker 4>allow them to you know, miss identify black or brown

0:24:34.560 --> 0:24:37.000
<v Speaker 4>people more often than not, and they might get arrested,

0:24:37.000 --> 0:24:39.000
<v Speaker 4>they might get targeted by the police, won't wear another

0:24:40.600 --> 0:24:42.000
<v Speaker 4>and that is why we should get rid of the

0:24:42.000 --> 0:24:44.520
<v Speaker 4>technology versus we should get rid of the technology. And

0:24:44.520 --> 0:24:47.520
<v Speaker 4>I think, like, I'm curious, you know, how it's going

0:24:47.600 --> 0:24:52.639
<v Speaker 4>to go, the concern about it inducing psychosis or inducing suicides,

0:24:52.720 --> 0:24:59.119
<v Speaker 4>because I could see a scenario easily where they patch

0:24:59.160 --> 0:25:01.880
<v Speaker 4>together something that like a fix, and it's not until

0:25:01.960 --> 0:25:04.800
<v Speaker 4>later a year, two or three after there's after people

0:25:04.800 --> 0:25:10.360
<v Speaker 4>are much more defended that other harms come to the foreground,

0:25:10.640 --> 0:25:14.160
<v Speaker 4>whereas we lose something God, I think not to say,

0:25:14.320 --> 0:25:16.480
<v Speaker 4>you know, not to say or marginalize the fact that

0:25:16.520 --> 0:25:19.680
<v Speaker 4>it has immense social costs or harm here, but it

0:25:20.080 --> 0:25:21.960
<v Speaker 4>does in some ways remind me of the way in

0:25:22.000 --> 0:25:26.480
<v Speaker 4>which that debate over facial recognition went and then they

0:25:26.600 --> 0:25:29.480
<v Speaker 4>you know, they solved, you know, with quotation marks the

0:25:29.560 --> 0:25:32.600
<v Speaker 4>racial bias problem, and now people have more or less

0:25:32.640 --> 0:25:36.719
<v Speaker 4>accepted that facial recognition is okay, actually long this it's

0:25:36.800 --> 0:25:37.760
<v Speaker 4>not racist.

0:25:37.440 --> 0:25:40.919
<v Speaker 2>And that's the thing. It's people say, this is a

0:25:40.920 --> 0:25:45.680
<v Speaker 2>white bloke. But it's like people really underplay how endemic

0:25:45.760 --> 0:25:48.880
<v Speaker 2>that racism is within all algorithms, you know, Compass, which

0:25:48.920 --> 0:25:52.160
<v Speaker 2>is like this very very very old algorithm for being

0:25:52.240 --> 0:25:55.600
<v Speaker 2>like it's basically minority report, both in the reference to

0:25:55.600 --> 0:25:58.120
<v Speaker 2>the thing and it reports and minorities in that it says, yeah,

0:25:58.160 --> 0:26:01.160
<v Speaker 2>this this person will likely have again, and that should

0:26:01.200 --> 0:26:03.960
<v Speaker 2>be and it isn't a unilateral the judge has to

0:26:03.960 --> 0:26:06.960
<v Speaker 2>take it. But what a surprise. It's often used to

0:26:07.680 --> 0:26:13.160
<v Speaker 2>black people to the jail systems because it's heavily biased

0:26:13.160 --> 0:26:17.360
<v Speaker 2>against them. And yeah, I somewhat fear lllm's doing similar

0:26:18.560 --> 0:26:21.240
<v Speaker 2>they're probably already doing. And I think that every algorithmic

0:26:21.320 --> 0:26:24.240
<v Speaker 2>system is inherently racist. There's not enough people running them

0:26:24.240 --> 0:26:26.920
<v Speaker 2>who actually fucking try. It's inherently biased against a woman.

0:26:27.320 --> 0:26:29.159
<v Speaker 2>I think there's also I wish I had this in

0:26:29.160 --> 0:26:30.959
<v Speaker 2>front of you. But there's also something about how like

0:26:31.880 --> 0:26:34.000
<v Speaker 2>more there were more fans of Generative AI who were

0:26:34.040 --> 0:26:36.680
<v Speaker 2>male than female, or it's just but.

0:26:36.640 --> 0:26:39.080
<v Speaker 4>Do you think it's possible that you know, they'll try

0:26:39.200 --> 0:26:42.439
<v Speaker 4>to say, oh, we can solve for the psychosist problem,

0:26:42.640 --> 0:26:46.200
<v Speaker 4>and then that will undermine a large The problem is

0:26:46.480 --> 0:26:48.080
<v Speaker 4>of the criticism.

0:26:48.240 --> 0:26:50.359
<v Speaker 2>How do you solve it? Because it is probably a

0:26:50.400 --> 0:26:53.640
<v Speaker 2>small it is probably a small scale problem. We actually

0:26:53.680 --> 0:26:55.800
<v Speaker 2>don't know, and it's not that these companies know or

0:26:55.840 --> 0:26:59.879
<v Speaker 2>will tell us. But nevertheless, each one is so horrifying.

0:27:00.960 --> 0:27:04.240
<v Speaker 2>This is horrib like the story in the Wall Street Journal,

0:27:05.040 --> 0:27:07.840
<v Speaker 2>it's Julie Jargon, another person there who wrote that where

0:27:07.880 --> 0:27:10.119
<v Speaker 2>it was like a murder suicide, an actual son of

0:27:10.160 --> 0:27:13.400
<v Speaker 2>Sam Mortman's situation. Whi's fucking terrifying that this is happening.

0:27:13.760 --> 0:27:17.080
<v Speaker 2>I don't know if you can completely solve that, because well,

0:27:17.119 --> 0:27:18.840
<v Speaker 2>it takes is one popping up again for them to

0:27:18.840 --> 0:27:22.680
<v Speaker 2>go fuck. And it's also not just a chat GPT problem.

0:27:22.760 --> 0:27:27.240
<v Speaker 2>There's this woman on TikTok who she has been saying

0:27:27.280 --> 0:27:30.040
<v Speaker 2>what Claude has been telling her, and it's like, ah,

0:27:30.080 --> 0:27:32.159
<v Speaker 2>this is giving me psychic visions. I think it is.

0:27:32.320 --> 0:27:35.719
<v Speaker 2>It's also an the ultimate grifter tool. It's just it's

0:27:35.920 --> 0:27:37.800
<v Speaker 2>that's why I think it's taken off so much on

0:27:37.840 --> 0:27:39.920
<v Speaker 2>social media as well. It's a tool that naturally fits

0:27:39.920 --> 0:27:43.840
<v Speaker 2>into the grifter's toolbox. I think that I actually have

0:27:44.119 --> 0:27:46.119
<v Speaker 2>similar fears that they will try and find ways to

0:27:46.160 --> 0:27:49.639
<v Speaker 2>handwave away from this if it was the only problem,

0:27:50.000 --> 0:27:52.200
<v Speaker 2>but they have so many problems. There have so many

0:27:52.280 --> 0:27:54.399
<v Speaker 2>problems at this point. But I do also think that

0:27:54.440 --> 0:27:58.600
<v Speaker 2>people need to remember how racism in algorithms is. Fairly,

0:27:59.000 --> 0:28:01.240
<v Speaker 2>it's in all of them. I mean, you remember Microsoft

0:28:01.240 --> 0:28:05.639
<v Speaker 2>Connect which literally couldn't see black people, which was a

0:28:05.720 --> 0:28:08.040
<v Speaker 2>joke in the show Better Off Ted if anyone watched that,

0:28:08.160 --> 0:28:12.199
<v Speaker 2>a great show. It's just it's insane the I mean, sadly,

0:28:12.520 --> 0:28:15.080
<v Speaker 2>it's very obvious why this keeps happening. It's because the

0:28:15.119 --> 0:28:17.560
<v Speaker 2>people are predominantly white and male, and it's just they

0:28:17.800 --> 0:28:20.000
<v Speaker 2>can't really and also you can't really fix this stuff

0:28:20.000 --> 0:28:23.160
<v Speaker 2>without intentionally building the data, which would require and spend

0:28:23.200 --> 0:28:24.840
<v Speaker 2>money on something they don't care about.

0:28:25.680 --> 0:28:28.800
<v Speaker 3>And they don't really understand what they're doing when they

0:28:28.840 --> 0:28:31.719
<v Speaker 3>go in to tweak these models. They don't know how

0:28:32.240 --> 0:28:35.480
<v Speaker 3>overcorrecting or undercorrecting their being so they kind of have

0:28:35.560 --> 0:28:38.200
<v Speaker 3>to just try and then put it out in the

0:28:38.240 --> 0:28:41.280
<v Speaker 3>world and then wait for something bad to happen. It's funny.

0:28:41.360 --> 0:28:44.360
<v Speaker 3>It's not funny, it's extremely sad. In that journal story

0:28:44.360 --> 0:28:47.320
<v Speaker 3>that you referenced, which I read twice because I was

0:28:47.480 --> 0:28:51.440
<v Speaker 3>like horrified, and also the reporting was incredible, it was

0:28:51.440 --> 0:28:54.360
<v Speaker 3>really and they said it as this appears to be

0:28:54.400 --> 0:28:59.560
<v Speaker 3>the first instance of a murder resulting like we've seen

0:28:59.640 --> 0:29:03.040
<v Speaker 3>sue sides, but like this is a murder suicide. And

0:29:03.600 --> 0:29:09.400
<v Speaker 3>when OpenAI responded to the question about did the bot

0:29:09.480 --> 0:29:12.320
<v Speaker 3>ever respond to this guy who is clearly having a

0:29:12.320 --> 0:29:15.480
<v Speaker 3>delusional episode, Hey, you need to talk to a real

0:29:15.520 --> 0:29:17.480
<v Speaker 3>life therapist, you need to go to the hospital, you

0:29:17.520 --> 0:29:20.600
<v Speaker 3>need to seek help. And I think they declined to comment.

0:29:20.640 --> 0:29:23.160
<v Speaker 3>It was like a very evasive maneuver. But like ultimately

0:29:23.200 --> 0:29:26.400
<v Speaker 3>the journal had seen. The one time where the bot

0:29:26.600 --> 0:29:29.080
<v Speaker 3>said please go to the emergency room was when the guy,

0:29:29.600 --> 0:29:32.200
<v Speaker 3>the parent guy who was having paranoid delusions, said I

0:29:32.200 --> 0:29:34.600
<v Speaker 3>think my mom is trying to poison me, and the

0:29:34.640 --> 0:29:37.040
<v Speaker 3>bot said, if you think you've been poisoned, you should

0:29:37.040 --> 0:29:39.880
<v Speaker 3>go to the hospital and get your stomach pumped.

0:29:39.960 --> 0:29:42.960
<v Speaker 2>I also, I agree they don't know how to tweet

0:29:43.000 --> 0:29:45.960
<v Speaker 2>these things, but I must be clear worked in tech

0:29:46.040 --> 0:29:49.239
<v Speaker 2>for a long sixteen seventeen years now, and that's not

0:29:49.240 --> 0:29:52.760
<v Speaker 2>even including my game's journalism work. It is not hard

0:29:52.840 --> 0:29:55.880
<v Speaker 2>for them to just have a just a unilateral thing

0:29:55.920 --> 0:29:58.720
<v Speaker 2>of oh, you're talking like this, I'm going to stop.

0:29:59.160 --> 0:30:01.320
<v Speaker 2>I mean, topic just announced that they have a thing

0:30:01.320 --> 0:30:04.440
<v Speaker 2>that will cut a conversation, which is good. All of

0:30:04.480 --> 0:30:07.480
<v Speaker 2>them should do this, but it's they could if someone

0:30:07.600 --> 0:30:11.520
<v Speaker 2>and the whole thing people I've seen where it should be.

0:30:11.920 --> 0:30:14.680
<v Speaker 2>If you start talking like I'm going to do this,

0:30:14.800 --> 0:30:18.920
<v Speaker 2>I am becoming this, it should say, hey, you sound

0:30:18.960 --> 0:30:21.520
<v Speaker 2>like you're having a paranoid like I'm worried about you.

0:30:21.520 --> 0:30:23.320
<v Speaker 2>You should go and speak with it and just stop

0:30:23.400 --> 0:30:26.040
<v Speaker 2>working with them. People will say, well, the way they

0:30:26.080 --> 0:30:29.320
<v Speaker 2>get around that is by telling the chat GPT window,

0:30:29.480 --> 0:30:32.120
<v Speaker 2>Oh yeah, I'm writing a story. I don't know. Do

0:30:32.200 --> 0:30:34.640
<v Speaker 2>we need them to write a story about that? Do

0:30:34.720 --> 0:30:36.720
<v Speaker 2>we need? Of course? What is the answer, And the

0:30:36.760 --> 0:30:39.200
<v Speaker 2>answer is they don't give a rap fucking no one's mate,

0:30:39.320 --> 0:30:42.680
<v Speaker 2>I really, I genuinely think because it's really the same

0:30:42.720 --> 0:30:45.760
<v Speaker 2>thing with like same thing with social networks as well.

0:30:46.040 --> 0:30:49.520
<v Speaker 2>It's you don't ban every slur the moment someone says it.

0:30:49.600 --> 0:30:51.240
<v Speaker 2>But I don't know you have a thing that says, hey,

0:30:51.240 --> 0:30:53.760
<v Speaker 2>someone said a slur. Maybe take a quick look at

0:30:53.760 --> 0:30:56.000
<v Speaker 2>the slur and you could probably just ban that person,

0:30:56.040 --> 0:30:59.280
<v Speaker 2>because I'm guessing that most uses of the N word

0:30:59.280 --> 0:31:03.480
<v Speaker 2>on social media are not used as in culturally sensitive ways.

0:31:03.520 --> 0:31:05.440
<v Speaker 2>They're probably insanely racist.

0:31:06.040 --> 0:31:09.360
<v Speaker 5>You've just calt them down. It's like, well, we can't.

0:31:09.400 --> 0:31:11.880
<v Speaker 5>It's an issue of free speech. Fuck you, no, it's not.

0:31:12.120 --> 0:31:13.880
<v Speaker 5>It's an issue of free speech when a person can't

0:31:13.880 --> 0:31:18.560
<v Speaker 5>exist online without racism happening to them, right, and these models,

0:31:18.600 --> 0:31:20.720
<v Speaker 5>they could stop them. But I do think there's a

0:31:20.760 --> 0:31:23.240
<v Speaker 5>compelling argument of they really don't know what to do

0:31:23.560 --> 0:31:26.080
<v Speaker 5>that every time they touch it, something else breaks.

0:31:26.440 --> 0:31:29.000
<v Speaker 2>It's honestly, it's kind of the most egregious version of

0:31:29.040 --> 0:31:31.680
<v Speaker 2>the most common software problem, which is coding is really

0:31:31.680 --> 0:31:33.680
<v Speaker 2>fucking annoying, and we don't know how these work.

0:31:33.720 --> 0:31:36.440
<v Speaker 3>Also, and generalor AI is not going to fix your

0:31:36.440 --> 0:31:38.680
<v Speaker 3>coding problems, no matter how many times you tell us,

0:31:38.800 --> 0:31:42.320
<v Speaker 3>Sam Altman that a guy is just going to fix

0:31:42.360 --> 0:31:47.400
<v Speaker 3>everything for us.

0:31:59.720 --> 0:32:01.520
<v Speaker 2>That's actually be my favorite thing to do right now.

0:32:01.560 --> 0:32:04.040
<v Speaker 2>It's go on the R slash cursor, AR slash chat,

0:32:04.040 --> 0:32:07.200
<v Speaker 2>GPT pro R slash claude AI and just looking at

0:32:07.200 --> 0:32:10.120
<v Speaker 2>people complaining, and what they're complaining about is, hey, I

0:32:10.200 --> 0:32:13.920
<v Speaker 2>keep hitting rate limits, Hey I keep it keeps breaking things. Hey,

0:32:13.960 --> 0:32:16.280
<v Speaker 2>it's you get one guy every so often who says

0:32:16.800 --> 0:32:18.320
<v Speaker 2>this has changed my life, and then you see what

0:32:18.360 --> 0:32:20.720
<v Speaker 2>the responses being like, yeah, but fucked up all my

0:32:20.920 --> 0:32:24.040
<v Speaker 2>stuff really badly doesn't really work. And we have an

0:32:24.120 --> 0:32:26.960
<v Speaker 2>upcoming episode with a cult vult Voji about this where

0:32:26.960 --> 0:32:29.600
<v Speaker 2>it's like, the average software engineer is not just writing

0:32:29.640 --> 0:32:33.040
<v Speaker 2>code anyway, and so you this is also I think

0:32:33.400 --> 0:32:35.640
<v Speaker 2>this is actually really this is funny, This is a

0:32:35.680 --> 0:32:37.680
<v Speaker 2>good this is a good one to laugh about. So

0:32:37.760 --> 0:32:40.840
<v Speaker 2>their only real growth market right now is writing code.

0:32:41.840 --> 0:32:44.920
<v Speaker 2>The problem is writing code requires you to use reasoning models.

0:32:45.280 --> 0:32:48.959
<v Speaker 2>Reasoning models inherently burn more tokens. And the way they

0:32:49.000 --> 0:32:51.640
<v Speaker 2>burn tokens is because they're think thinking. They don't really think.

0:32:51.680 --> 0:32:53.720
<v Speaker 2>They look over what a prompt ask for and goes, okay,

0:32:53.720 --> 0:32:56.080
<v Speaker 2>what would be the steps to solve this? With code

0:32:56.080 --> 0:32:59.800
<v Speaker 2>that becomes so so complex, And the more models reason,

0:32:59.840 --> 0:33:03.640
<v Speaker 2>the more they hallucinate. So the very product that they

0:33:03.640 --> 0:33:06.120
<v Speaker 2>are building that is going to save them is also

0:33:06.240 --> 0:33:09.160
<v Speaker 2>the one that is going to burn more compute and

0:33:09.560 --> 0:33:12.360
<v Speaker 2>this is a rumor I've heard from a source that

0:33:12.440 --> 0:33:15.280
<v Speaker 2>like it can take like four to twelve GPUs for

0:33:15.400 --> 0:33:19.520
<v Speaker 2>one person's particular particularly rough coding, like a.

0:33:19.560 --> 0:33:21.600
<v Speaker 4>Refactory that's sustainable.

0:33:22.280 --> 0:33:24.840
<v Speaker 2>And that's for one of the smaller models as well.

0:33:25.200 --> 0:33:27.720
<v Speaker 2>That's for like four many which is a reasoning model.

0:33:27.840 --> 0:33:29.400
<v Speaker 2>It's like, what do you think the big ones are?

0:33:29.440 --> 0:33:34.200
<v Speaker 4>Like in the information they talk about open ai having

0:33:34.800 --> 0:33:39.000
<v Speaker 4>a new eighty billion dollars and eighty billion dollars in

0:33:39.120 --> 0:33:43.120
<v Speaker 4>casts that they spend yes over the next three Yeah,

0:33:43.360 --> 0:33:44.160
<v Speaker 4>it's like it's.

0:33:44.000 --> 0:33:45.960
<v Speaker 2>One hundred and fifteen by twenty twenty nine as well.

0:33:46.080 --> 0:33:48.480
<v Speaker 4>It's a good chunk of this come out of Oh,

0:33:48.560 --> 0:33:52.280
<v Speaker 4>it turns out that computer is incredibly expensive and we

0:33:52.440 --> 0:33:54.440
<v Speaker 4>want to center our business model around it.

0:33:54.600 --> 0:33:57.640
<v Speaker 2>I think it's that, and I think it's just they

0:33:57.680 --> 0:33:59.360
<v Speaker 2>don't know what else to do. It's kind of like

0:33:59.400 --> 0:34:01.520
<v Speaker 2>we're saying with the the uber model, they're playing the hits.

0:34:01.520 --> 0:34:03.280
<v Speaker 2>It's like, fuck, what did we do in the past.

0:34:03.320 --> 0:34:06.400
<v Speaker 2>We spent a lot of money ship what do we

0:34:06.440 --> 0:34:11.439
<v Speaker 2>buy GPUs? I guess what may we train more? They're

0:34:11.440 --> 0:34:13.560
<v Speaker 2>going to spend so much money on training and it's like,

0:34:13.800 --> 0:34:16.920
<v Speaker 2>to what end, your last model was a joke. This

0:34:16.960 --> 0:34:17.400
<v Speaker 2>is why it was.

0:34:17.440 --> 0:34:19.440
<v Speaker 4>It was really interesting to see that OpEd that came

0:34:19.480 --> 0:34:23.040
<v Speaker 4>from Eric Schmid and his research where he was you know,

0:34:23.360 --> 0:34:25.680
<v Speaker 4>Eric Smith is someone who was an architect of the

0:34:25.760 --> 0:34:30.200
<v Speaker 4>idea that offormacy of Google, pharmacy of Google, you know,

0:34:30.920 --> 0:34:35.239
<v Speaker 4>chairman of National Security, a group that was trying to

0:34:35.239 --> 0:34:40.520
<v Speaker 4>figure out how to merge artificial intelligence and too defence contractors,

0:34:40.600 --> 0:34:43.719
<v Speaker 4>and how to create a you know, foreign policy that

0:34:43.760 --> 0:34:46.799
<v Speaker 4>would allow America to dominate, you know, really to win

0:34:46.920 --> 0:34:50.080
<v Speaker 4>an arms race and AI arms race with China. And

0:34:50.480 --> 0:34:53.920
<v Speaker 4>he comes away saying the strategy I basically helped craft,

0:34:54.000 --> 0:34:56.120
<v Speaker 4>which was that we need to prioritize a GI so

0:34:56.160 --> 0:34:58.400
<v Speaker 4>that we can get prioritize a GI so that we

0:34:58.440 --> 0:35:03.840
<v Speaker 4>can get like a permanent lead to deter any potential rivals.

0:35:03.480 --> 0:35:06.960
<v Speaker 4>Is scaring everyone, you know, and it doesn't work. It's

0:35:06.960 --> 0:35:10.720
<v Speaker 4>a waste of capital, it's misallocating capital, it's it's imposing

0:35:10.760 --> 0:35:13.200
<v Speaker 4>all these harms. And if we look at the you know,

0:35:13.239 --> 0:35:15.719
<v Speaker 4>competitor that we're going up against against China, that by

0:35:15.760 --> 0:35:20.839
<v Speaker 4>abandoning the AGI pursuited instead prioritizing ways to figure out

0:35:20.840 --> 0:35:23.879
<v Speaker 4>how to experiment with it, integrate with it, build up

0:35:24.040 --> 0:35:27.319
<v Speaker 4>you know, build up practical use applications. You know, there's

0:35:27.440 --> 0:35:31.160
<v Speaker 4>a much more general public acceptance of it, willingness to

0:35:31.160 --> 0:35:34.319
<v Speaker 4>try it out, adopt it. And we're not seeing because

0:35:34.360 --> 0:35:37.080
<v Speaker 4>we're not trying to scale out these massive either monopolies

0:35:37.560 --> 0:35:41.319
<v Speaker 4>or one size fits all models. You see wider you know,

0:35:41.360 --> 0:35:44.400
<v Speaker 4>adoption and something that looks like it's a more sustainable model.

0:35:44.440 --> 0:35:46.360
<v Speaker 4>Are we going to follow it? Probably not, of course not.

0:35:46.680 --> 0:35:49.760
<v Speaker 2>What I love about chasing China as well is China

0:35:49.800 --> 0:35:51.879
<v Speaker 2>has had stories for like a year where it's like, yeah,

0:35:51.920 --> 0:35:54.480
<v Speaker 2>we have a bunch of unused GPU compute. Yes, well

0:35:54.680 --> 0:35:57.400
<v Speaker 2>we're massively overbuilt. The Joseph Sia I think it was

0:35:57.480 --> 0:36:01.040
<v Speaker 2>the Chinese billionaires said, yeah, it's a bubble. We haven't

0:36:01.040 --> 0:36:03.000
<v Speaker 2>really a gp of bubble, and America is just like

0:36:03.000 --> 0:36:04.719
<v Speaker 2>we can need to fucking copy it, we need to

0:36:04.760 --> 0:36:07.319
<v Speaker 2>beat them. We're great, We're gonna run our economy into

0:36:07.360 --> 0:36:09.000
<v Speaker 2>the ground.

0:36:09.200 --> 0:36:11.160
<v Speaker 4>China, it's like we're saying we're gonna confu them, And

0:36:11.160 --> 0:36:14.040
<v Speaker 4>what is it that we're actually doing. We're prioritizing developing

0:36:14.200 --> 0:36:16.879
<v Speaker 4>artificial intelligence that has like a question mark consumer use.

0:36:17.280 --> 0:36:20.360
<v Speaker 4>That's going to be used in you know, killing machines

0:36:20.360 --> 0:36:24.440
<v Speaker 4>and drones maybe and for surveillance purpose. Yeah, that's not

0:36:24.480 --> 0:36:26.640
<v Speaker 4>even generator of a I. But that's where the actual

0:36:27.000 --> 0:36:30.520
<v Speaker 4>excitement for any sort of artificial intelligence future is. And

0:36:30.560 --> 0:36:33.520
<v Speaker 4>this is you know, the generative AI stuff. It's talked

0:36:33.560 --> 0:36:36.040
<v Speaker 4>about as if it is the future, the transformative future

0:36:36.080 --> 0:36:39.880
<v Speaker 4>of artificial intelligence. In reality, it's just the actual you know,

0:36:39.920 --> 0:36:43.719
<v Speaker 4>the actual interest excitement capital is gonna I think go

0:36:43.800 --> 0:36:45.400
<v Speaker 4>back to the center of gravity, which is like, how

0:36:45.400 --> 0:36:48.799
<v Speaker 4>do we just figure out the shiniest, the most fearsome weaponry.

0:36:49.000 --> 0:36:51.879
<v Speaker 2>But I think that what's weird about this is I've

0:36:52.360 --> 0:36:55.239
<v Speaker 2>I don't think we've had a bubble that spreads so

0:36:55.440 --> 0:36:58.880
<v Speaker 2>far into consumers' hearts. I'm not saying it's as bad

0:36:58.920 --> 0:37:01.640
<v Speaker 2>as the housing bubble consumer software. If we go back

0:37:01.640 --> 0:37:03.720
<v Speaker 2>to the dot com boom, I think it's like forty

0:37:03.719 --> 0:37:05.719
<v Speaker 2>five percent of Americans had access to the Internet. It

0:37:05.760 --> 0:37:08.600
<v Speaker 2>was relatively small in comparison, though the massive other investment

0:37:08.600 --> 0:37:12.160
<v Speaker 2>in fiber happened. But I don't think people realize what

0:37:12.200 --> 0:37:14.480
<v Speaker 2>they see to the chat GPT may not exist in

0:37:14.520 --> 0:37:16.720
<v Speaker 2>a year or two at least not in the same

0:37:16.760 --> 0:37:18.959
<v Speaker 2>way it's going to be. So you're already seeing week

0:37:19.040 --> 0:37:24.040
<v Speaker 2>long weight rate limits on anthropics. Claude, like, do people

0:37:24.080 --> 0:37:27.200
<v Speaker 2>not realize that this could have I guess they don't realize,

0:37:27.320 --> 0:37:29.719
<v Speaker 2>and I don't. I think that there's going to be

0:37:29.719 --> 0:37:32.399
<v Speaker 2>a big dunce mask off. There are so many people

0:37:32.400 --> 0:37:34.800
<v Speaker 2>who have fallen behind this. I mean not to bridge

0:37:34.840 --> 0:37:37.279
<v Speaker 2>too aggressively into this, but there is a story in

0:37:37.280 --> 0:37:39.160
<v Speaker 2>the Wall Street Journal that I shared with you, of course,

0:37:39.200 --> 0:37:42.279
<v Speaker 2>about this movie called Critters with a Z or a

0:37:42.360 --> 0:37:46.200
<v Speaker 2>Z from my Canadian UK listeners, where open Ai will

0:37:46.239 --> 0:37:48.799
<v Speaker 2>be providing the compute and the tech to do a

0:37:48.880 --> 0:37:51.680
<v Speaker 2>movie called Creators with a budget of less than thirty

0:37:51.680 --> 0:37:54.480
<v Speaker 2>million dollars. Though it's not obvious whether open ai and

0:37:54.520 --> 0:37:56.840
<v Speaker 2>their computer is part of that. But it's the weirdest

0:37:56.840 --> 0:37:58.440
<v Speaker 2>shit in the world. Alison, you would bring this up

0:37:58.440 --> 0:38:00.680
<v Speaker 2>that like they're still using a bunch of humans.

0:38:01.360 --> 0:38:01.640
<v Speaker 1>Yeah.

0:38:01.920 --> 0:38:04.000
<v Speaker 3>So I was reading the same story and I haven't

0:38:04.040 --> 0:38:06.399
<v Speaker 3>done any This came out this morning, so I haven't

0:38:06.440 --> 0:38:08.120
<v Speaker 3>done my own reporting on it, but I will say

0:38:08.320 --> 0:38:11.280
<v Speaker 3>from the story I read, it seems like they're hiring

0:38:11.400 --> 0:38:16.080
<v Speaker 3>two different animation studios with artists and writers working on

0:38:16.120 --> 0:38:19.640
<v Speaker 3>the script. They're hiring human actors to voice the characters,

0:38:19.880 --> 0:38:24.520
<v Speaker 3>and then some mystery X amount of the movie will

0:38:24.560 --> 0:38:27.239
<v Speaker 3>be put together with AI. And I honestly don't know

0:38:27.840 --> 0:38:31.400
<v Speaker 3>how different that is from a regular Pixar or DreamWorks

0:38:31.440 --> 0:38:35.680
<v Speaker 3>animation process, but it seems like there's When I first

0:38:35.719 --> 0:38:38.400
<v Speaker 3>saw the you know, the teaser image is very cute,

0:38:38.480 --> 0:38:40.440
<v Speaker 3>and I was like, oh God, They're like, this is

0:38:40.600 --> 0:38:42.960
<v Speaker 3>gonna be some AI propaganda and it's gonna be very

0:38:43.040 --> 0:38:46.520
<v Speaker 3>cute and hard for me to refute. But actually it's

0:38:46.560 --> 0:38:49.319
<v Speaker 3>just a human made movie, it seems, and with an

0:38:49.360 --> 0:38:50.399
<v Speaker 3>extra computer help.

0:38:50.520 --> 0:38:52.600
<v Speaker 2>And this picture I'm holding up. Of course we're listening

0:38:52.640 --> 0:38:54.759
<v Speaker 2>to a podcast that you can all see this. It's

0:38:54.840 --> 0:38:57.400
<v Speaker 2>just this generic blue furry creature.

0:38:57.760 --> 0:38:59.480
<v Speaker 3>It looks like an extra from Monsters, Inc.

0:38:59.560 --> 0:39:02.799
<v Speaker 2>It really does. And what it's not a copyright. Yeah,

0:39:02.800 --> 0:39:05.799
<v Speaker 2>it's the same thing, it's different. But what's funny with that?

0:39:05.880 --> 0:39:07.920
<v Speaker 2>As well? As I was mentioned this as a lead

0:39:07.960 --> 0:39:11.720
<v Speaker 2>in it's that thirty million dollar thing. If that doesn't

0:39:11.760 --> 0:39:15.520
<v Speaker 2>include open eyes compute, it probably costs the same as

0:39:15.560 --> 0:39:19.440
<v Speaker 2>a pixel movie. Because you're still like, actually, three D

0:39:19.520 --> 0:39:22.120
<v Speaker 2>animation is one of the few other GPU use cases,

0:39:22.320 --> 0:39:24.959
<v Speaker 2>so really it's just a different thing running. It'll be funny.

0:39:24.960 --> 0:39:27.120
<v Speaker 4>Also if they save money because they don't do any marketing,

0:39:27.160 --> 0:39:28.680
<v Speaker 4>and they're like, see how cheap it is if you

0:39:28.719 --> 0:39:31.319
<v Speaker 4>don't have as a movie at all.

0:39:31.960 --> 0:39:34.560
<v Speaker 3>I think they might be getting around some Hollywood unions.

0:39:34.760 --> 0:39:38.560
<v Speaker 2>Yeah, oh really, they're going completely overseas too.

0:39:39.719 --> 0:39:41.600
<v Speaker 3>I'd have to check. Don't quote me on it, but

0:39:41.760 --> 0:39:43.359
<v Speaker 3>I think I know they were using at least one

0:39:43.400 --> 0:39:47.960
<v Speaker 3>overseas animation studio, so they're probably saving a lot on

0:39:48.000 --> 0:39:51.760
<v Speaker 3>the animation process by not paying animators. I would guess.

0:39:51.800 --> 0:39:54.080
<v Speaker 2>It's so cool. And also another fact from the story

0:39:54.120 --> 0:39:55.640
<v Speaker 2>is we don't know how long the piece will be,

0:39:56.560 --> 0:39:59.440
<v Speaker 2>and it's if it's like five minutes long, I'm so sorry,

0:39:59.480 --> 0:40:01.600
<v Speaker 2>come on, feature length, feature length.

0:40:01.920 --> 0:40:04.920
<v Speaker 4>I should make it as long as the Silent Napoleon film.

0:40:05.120 --> 0:40:08.440
<v Speaker 2>Which one six hours. Yeah, I actually love that they

0:40:08.480 --> 0:40:10.879
<v Speaker 2>should be forced to it. I don't know how they're

0:40:10.920 --> 0:40:12.399
<v Speaker 2>going to do a feature long movie, because I don't

0:40:12.440 --> 0:40:14.920
<v Speaker 2>know if you've cursed yourself by looking at the AI

0:40:15.000 --> 0:40:17.600
<v Speaker 2>generated movies that people try every so often, one pops

0:40:17.680 --> 0:40:20.920
<v Speaker 2>up on Twitter where it's it'll be Yeah, I made

0:40:20.960 --> 0:40:22.799
<v Speaker 2>this entire thing in AI, and you look at the

0:40:22.800 --> 0:40:24.839
<v Speaker 2>front and it's like a different fucking thing each time

0:40:25.160 --> 0:40:29.400
<v Speaker 2>that balloon boy one, different size balloon, different color balloon.

0:40:29.640 --> 0:40:32.640
<v Speaker 2>You read the stories about the balloon Boy one, it's like, yeah,

0:40:33.160 --> 0:40:34.959
<v Speaker 2>they kept putting a face in the balloon. We don't

0:40:34.960 --> 0:40:37.880
<v Speaker 2>know why. I just I and I know I have

0:40:37.920 --> 0:40:39.480
<v Speaker 2>a good amount of film and TV people who listen

0:40:39.560 --> 0:40:42.319
<v Speaker 2>who are quite anxious about this. This doesn't scare me

0:40:42.400 --> 0:40:45.640
<v Speaker 2>because they're very vague about the details. Every other big

0:40:45.680 --> 0:40:49.399
<v Speaker 2>tech innovation, I even other than the metaverse, I guess

0:40:49.480 --> 0:40:51.239
<v Speaker 2>they usually like to show you behind the curtain a

0:40:51.239 --> 0:40:53.000
<v Speaker 2>little bit and like talk up that it. There'd be

0:40:53.000 --> 0:40:56.200
<v Speaker 2>a big, splashy story and like MIT Technology Review or

0:40:56.200 --> 0:40:57.920
<v Speaker 2>something like that, being like all New York Times be like,

0:40:57.920 --> 0:40:59.759
<v Speaker 2>oh look at this, look at that, look at all things,

0:40:59.800 --> 0:41:02.280
<v Speaker 2>and the like, Yeah, we're just using some people somewhere

0:41:02.360 --> 0:41:05.200
<v Speaker 2>in a place and they will make it. And in

0:41:05.239 --> 0:41:07.600
<v Speaker 2>the War Street Journal story as well, they showed sketches

0:41:08.040 --> 0:41:11.880
<v Speaker 2>that would then be turned into AI. I just this

0:41:12.040 --> 0:41:15.720
<v Speaker 2>feels like a death rattle far more than something terribly scary,

0:41:15.760 --> 0:41:18.040
<v Speaker 2>And I understand film TP people are likely a bit scared,

0:41:18.040 --> 0:41:20.919
<v Speaker 2>but it's like they're using out of the country studios.

0:41:21.320 --> 0:41:23.920
<v Speaker 2>They're try that. Of course, I just assume they're skipping

0:41:24.000 --> 0:41:26.440
<v Speaker 2>union stuff because this is all they do. It's like

0:41:26.680 --> 0:41:28.960
<v Speaker 2>this is the best they can squeak out years in

0:41:29.160 --> 0:41:32.760
<v Speaker 2>fucking how is this? And it's like a boring looking

0:41:33.160 --> 0:41:36.640
<v Speaker 2>children's thing, I guess with a name from two thousand

0:41:36.680 --> 0:41:37.040
<v Speaker 2>and one.

0:41:37.360 --> 0:41:40.279
<v Speaker 3>Oh, it does have the producers or writers who worked

0:41:40.320 --> 0:41:43.680
<v Speaker 3>on Paddington and Peru apparently, So what a.

0:41:43.640 --> 0:41:46.399
<v Speaker 2>Movie about a criminal a sequel to a movie about

0:41:46.400 --> 0:41:50.360
<v Speaker 2>a criminal who unfairly attacked you? Grun No, sorry, I

0:41:50.360 --> 0:41:51.879
<v Speaker 2>mean then this is the question of.

0:41:51.880 --> 0:41:55.400
<v Speaker 4>You know where in the Uber analogy is this is

0:41:55.560 --> 0:42:00.360
<v Speaker 4>this you know Uber's failed expansions where they tried different

0:42:00.400 --> 0:42:04.440
<v Speaker 4>models overseas, or is this Uber returning home where they

0:42:04.480 --> 0:42:07.400
<v Speaker 4>take the lessons from overseas or they use those overseas

0:42:07.400 --> 0:42:09.879
<v Speaker 4>things to buy them a bit more time to then

0:42:10.000 --> 0:42:11.480
<v Speaker 4>subsidize operations.

0:42:11.560 --> 0:42:15.120
<v Speaker 2>Here is my comparison, and this is the drone deliveries.

0:42:15.800 --> 0:42:18.360
<v Speaker 2>This is the drone deliveries. It's the Amazon drone deliveries.

0:42:18.400 --> 0:42:20.520
<v Speaker 2>Great job, Casey and Kevin several years ago talk about

0:42:20.520 --> 0:42:23.960
<v Speaker 2>the Amazon drone deliveries and never fucking happened. Mate. It's

0:42:24.400 --> 0:42:26.319
<v Speaker 2>hilarious as well because it is the same thing. It's like,

0:42:26.560 --> 0:42:29.279
<v Speaker 2>we cobbled together this. It sucked. It took so much money.

0:42:29.320 --> 0:42:32.080
<v Speaker 2>It's horribly inefficient. It sucks. We hate it, you hate it,

0:42:32.080 --> 0:42:33.880
<v Speaker 2>the customers hate it. We hate we hate doing this,

0:42:34.000 --> 0:42:37.280
<v Speaker 2>but we did it. M M toada And it's okay,

0:42:37.560 --> 0:42:41.080
<v Speaker 2>Well you sure prove that, do you? Wort Alison. It's like, yeah,

0:42:41.080 --> 0:42:42.959
<v Speaker 2>we use the power of AI to hire a bunch

0:42:43.000 --> 0:42:45.000
<v Speaker 2>of people to do all the real work, because you

0:42:45.040 --> 0:42:47.880
<v Speaker 2>can't trust this to work. It does not work.

0:42:47.960 --> 0:42:50.160
<v Speaker 3>When I saw a headline for an AI movie, I

0:42:50.280 --> 0:42:52.759
<v Speaker 3>was like, it's it's gonna be awful. Yeah, it's gonna

0:42:52.840 --> 0:42:54.520
<v Speaker 3>like writing a movie is hard.

0:42:54.600 --> 0:42:56.600
<v Speaker 2>Well wait a minute. Also, this is the other thing

0:42:56.640 --> 0:42:59.160
<v Speaker 2>of Oh my god, how are they gonna lip sync

0:42:59.239 --> 0:43:02.640
<v Speaker 2>this shit? How do you live sing this? You can't generate,

0:43:03.040 --> 0:43:05.919
<v Speaker 2>you can't generate the same frame. How are they gonna

0:43:06.120 --> 0:43:08.440
<v Speaker 2>Are they gonna go in and post edit it with humans?

0:43:08.480 --> 0:43:12.120
<v Speaker 2>I assume at this point how much you actually relying

0:43:12.160 --> 0:43:13.239
<v Speaker 2>on AI for.

0:43:13.880 --> 0:43:15.120
<v Speaker 3>It's very unclear.

0:43:15.880 --> 0:43:18.120
<v Speaker 2>That's just it all fits. It feels like being at

0:43:18.120 --> 0:43:19.880
<v Speaker 2>a party where everyone's pissed themselves.

0:43:20.680 --> 0:43:25.520
<v Speaker 3>It does feel like some next level like young propaganda. Yeah,

0:43:25.560 --> 0:43:28.960
<v Speaker 3>like if they can get kids to enjoy whatever this

0:43:29.520 --> 0:43:32.920
<v Speaker 3>monstrous movie is going to be, then maybe there's like

0:43:33.239 --> 0:43:36.600
<v Speaker 3>a longer term brand play for open Ai as a

0:43:36.800 --> 0:43:38.920
<v Speaker 3>warm and cuddly but safe for children.

0:43:39.040 --> 0:43:42.400
<v Speaker 2>The thing is French and Korean companies have already already

0:43:42.400 --> 0:43:45.200
<v Speaker 2>been doing slot based three D shows. I don't mean

0:43:45.760 --> 0:43:49.240
<v Speaker 2>the famous one from the career K pop demon Hutness,

0:43:49.239 --> 0:43:51.759
<v Speaker 2>which is apparently very good. I've not watched it, and

0:43:51.920 --> 0:43:54.399
<v Speaker 2>please don't kill me. I'm not attacking that. I'm talking

0:43:54.400 --> 0:43:56.920
<v Speaker 2>about there is a gluttony of like very cheap kids

0:43:56.960 --> 0:43:58.880
<v Speaker 2>three D kids shows, and they've been around for decades

0:43:59.000 --> 0:44:01.399
<v Speaker 2>because you can do this on the cheap. Now you've

0:44:01.440 --> 0:44:04.920
<v Speaker 2>already another thing where the Uber model made sense as

0:44:04.960 --> 0:44:07.320
<v Speaker 2>long as you didn't count the costs, which is, yeah,

0:44:07.360 --> 0:44:10.000
<v Speaker 2>this is a way of getting people around that become

0:44:10.040 --> 0:44:13.200
<v Speaker 2>dependent on because it's useful. This is like we have

0:44:13.280 --> 0:44:17.360
<v Speaker 2>found an extremely expensive and annoying way to do something

0:44:17.560 --> 0:44:19.640
<v Speaker 2>that we already have a cheap alternative to do. It's

0:44:19.680 --> 0:44:22.120
<v Speaker 2>not like there was a cheap, a cheap, reliable cab

0:44:22.200 --> 0:44:24.799
<v Speaker 2>service that Uber replaced there was a slow shit cab

0:44:24.880 --> 0:44:28.160
<v Speaker 2>service that Uber replaced everywhere, and it's like, is it

0:44:28.239 --> 0:44:30.880
<v Speaker 2>a good company? Is it horrible to work us? Yes?

0:44:30.920 --> 0:44:33.640
<v Speaker 2>But does it work? Yes? This is we're going to

0:44:33.680 --> 0:44:36.520
<v Speaker 2>automate everything with the power of AI, other than labor,

0:44:37.920 --> 0:44:39.000
<v Speaker 2>other than stuff.

0:44:40.040 --> 0:44:42.960
<v Speaker 3>That's where the AI story starts to overlap again with Crypto,

0:44:43.239 --> 0:44:48.120
<v Speaker 3>where at least with Uber you understand what you're getting

0:44:48.160 --> 0:44:51.160
<v Speaker 3>as a consumer, and then with AI you're kind of like,

0:44:51.480 --> 0:44:53.640
<v Speaker 3>I don't really know what this is. I don't know

0:44:53.680 --> 0:44:56.800
<v Speaker 3>what problem it's solving. It's like a solution in search

0:44:56.880 --> 0:45:01.279
<v Speaker 3>of a problem. And that was Crypto's same bag. It's

0:45:01.400 --> 0:45:04.760
<v Speaker 3>just like, oh, we invented this cool new alternative money system.

0:45:05.160 --> 0:45:08.680
<v Speaker 2>Why the thing is with Crypto is they always had

0:45:08.719 --> 0:45:10.960
<v Speaker 2>a plan, which sucks. I really should have seen it coming.

0:45:11.040 --> 0:45:13.120
<v Speaker 2>I was not smart enough at the time. It was

0:45:13.120 --> 0:45:15.320
<v Speaker 2>they always wanted to just get embedded in the financial

0:45:15.360 --> 0:45:18.279
<v Speaker 2>system and then just turn the funny money into real money. Hey,

0:45:18.280 --> 0:45:19.960
<v Speaker 2>I doesn't have that. There is no way to turn

0:45:20.000 --> 0:45:22.759
<v Speaker 2>this into new You can't just generate new money. That's

0:45:22.800 --> 0:45:25.640
<v Speaker 2>what Crypto did and it fucking sucks. And by the way,

0:45:25.800 --> 0:45:28.000
<v Speaker 2>the next Crypto crash is going to wash out some

0:45:28.120 --> 0:45:31.040
<v Speaker 2>real like it's gonna really fuck people up. I don't

0:45:31.080 --> 0:45:34.560
<v Speaker 2>think people realize that SBF two, who at this point

0:45:34.600 --> 0:45:37.200
<v Speaker 2>might just be SBF Like if he just gets pardoned

0:45:37.200 --> 0:45:39.440
<v Speaker 2>and comes back, Honestly, if he comes back and does

0:45:39.440 --> 0:45:41.960
<v Speaker 2>it again, no one, no one can complain.

0:45:42.040 --> 0:45:43.560
<v Speaker 4>I'm going to the last clove. I've got to go

0:45:43.600 --> 0:45:46.799
<v Speaker 4>in the hyperbolic time chamber. I joined the fight just

0:45:46.840 --> 0:45:48.479
<v Speaker 4>so I can put him in cuffs.

0:45:48.480 --> 0:45:51.080
<v Speaker 2>You're going to put Sam Backman free back in cuffs, Yes,

0:45:51.719 --> 0:45:55.239
<v Speaker 2>Sam Altman free would be good. It's it's just I

0:45:55.239 --> 0:45:57.239
<v Speaker 2>don't see an end point for this. I don't see

0:45:57.360 --> 0:46:00.360
<v Speaker 2>everyone's that, even the boosters at this point, they're like,

0:46:00.360 --> 0:46:03.920
<v Speaker 2>and then it will be powerful. When how what are

0:46:03.920 --> 0:46:06.239
<v Speaker 2>you seeing that even tells you this. I don't even

0:46:06.280 --> 0:46:07.360
<v Speaker 2>want to fight. Just tell me.

0:46:07.680 --> 0:46:10.840
<v Speaker 3>I do think there's so there's just so much money

0:46:11.480 --> 0:46:13.799
<v Speaker 3>behind it, and there's so many people who've invested. I

0:46:13.840 --> 0:46:17.120
<v Speaker 3>was listening to a VC guy get interviewed on the

0:46:17.120 --> 0:46:19.400
<v Speaker 3>Odd Lots podcast, and I can't remember his name, so

0:46:19.480 --> 0:46:23.440
<v Speaker 3>I apologize, But he was talking about how all these founders,

0:46:23.520 --> 0:46:26.400
<v Speaker 3>like all these smaller startups that are getting in on

0:46:26.440 --> 0:46:29.839
<v Speaker 3>the AI game. All these founders have kind of been

0:46:29.920 --> 0:46:32.560
<v Speaker 3>raised with this idea of Silicon Valley and what it

0:46:32.600 --> 0:46:35.880
<v Speaker 3>will bring you, and it's life changing amounts of wealth

0:46:36.280 --> 0:46:38.520
<v Speaker 3>and when you have enough people, and like the vcs

0:46:38.520 --> 0:46:41.319
<v Speaker 3>are part of that, the actual tech startups are part

0:46:41.360 --> 0:46:45.040
<v Speaker 3>of that. Stanford and like kind of the whole ethos

0:46:45.080 --> 0:46:48.440
<v Speaker 3>of the of the valley is like, if you just

0:46:48.560 --> 0:46:51.279
<v Speaker 3>keep going and work hard enough, you can have generational

0:46:51.320 --> 0:46:54.239
<v Speaker 3>wealth and that is a very powerful force. And I

0:46:54.280 --> 0:46:57.280
<v Speaker 3>feel like I think we're going to be seeing AI

0:46:57.560 --> 0:47:00.439
<v Speaker 3>kind of hype last longer than we have and other

0:47:00.560 --> 0:47:05.680
<v Speaker 3>previous bubbles and tech cycles, in part because the potential

0:47:05.719 --> 0:47:09.200
<v Speaker 3>for the wealth is outstanding and it's like nothing we've

0:47:09.200 --> 0:47:09.680
<v Speaker 3>ever seen.

0:47:09.760 --> 0:47:12.480
<v Speaker 2>But that's the thing. You're completely right, except AI has

0:47:12.480 --> 0:47:14.440
<v Speaker 2>one problem, which is all the companies lose a shit

0:47:14.520 --> 0:47:16.680
<v Speaker 2>ton of money and no one's selling, no one is

0:47:16.680 --> 0:47:19.680
<v Speaker 2>buying that. There's been like three acquisitions. There's one to AMD,

0:47:19.840 --> 0:47:23.120
<v Speaker 2>one to end Video, one to a public company called Nice,

0:47:23.680 --> 0:47:26.040
<v Speaker 2>which sold the customer It was an AI cognitive I

0:47:26.080 --> 0:47:28.120
<v Speaker 2>think they were called. It was like an AI customer

0:47:28.160 --> 0:47:30.640
<v Speaker 2>service thing. Either never really seem that good anyway, But

0:47:31.360 --> 0:47:32.960
<v Speaker 2>that whole thing is true. And I think that that's

0:47:32.960 --> 0:47:36.440
<v Speaker 2>what people and I think that the myth of you

0:47:36.440 --> 0:47:38.600
<v Speaker 2>can just use AI to spin up a startup quickly

0:47:38.640 --> 0:47:41.520
<v Speaker 2>as well has kind of gone into has kind of

0:47:41.560 --> 0:47:44.520
<v Speaker 2>fueled that myth us as well. But the problem is

0:47:44.920 --> 0:47:48.239
<v Speaker 2>this is so different because the whole point of silicon Bag,

0:47:48.280 --> 0:47:50.160
<v Speaker 2>the whole thing where you can just move there and

0:47:50.160 --> 0:47:53.480
<v Speaker 2>start a startup, is because it didn't cost ruinous amounts

0:47:53.480 --> 0:47:56.280
<v Speaker 2>of money to start one. You didn't get three million

0:47:56.320 --> 0:47:58.560
<v Speaker 2>dollars from a VC and expect to spend two and

0:47:58.560 --> 0:48:02.040
<v Speaker 2>a half million of that on compute. You were like, Okay,

0:48:02.080 --> 0:48:05.360
<v Speaker 2>we're gonna we're gonna have to bootstrap a little bit further.

0:48:05.440 --> 0:48:07.279
<v Speaker 2>We've just got a little bit of venture capital. We're

0:48:07.280 --> 0:48:10.160
<v Speaker 2>gonna go this far. This is like every step of

0:48:10.200 --> 0:48:13.160
<v Speaker 2>the way, this cost increases massively. It used to be

0:48:13.200 --> 0:48:16.480
<v Speaker 2>it was sales and marketing and just people. AI is

0:48:16.680 --> 0:48:20.839
<v Speaker 2>people plus compute plus marketing plus this plus that I think,

0:48:21.080 --> 0:48:23.920
<v Speaker 2>you know, perplexity. The AI search engine spent one hundred

0:48:23.920 --> 0:48:26.120
<v Speaker 2>and sixty four percent of their revenue in twenty twenty

0:48:26.120 --> 0:48:29.160
<v Speaker 2>four just on compute and aws like, it's like, this

0:48:29.280 --> 0:48:34.279
<v Speaker 2>is not this whole generational wealthing. I fully agree it's

0:48:34.320 --> 0:48:37.200
<v Speaker 2>what they're using to sell it. I just don't think

0:48:37.239 --> 0:48:41.319
<v Speaker 2>it's gonna work. And it's scary because this could have

0:48:41.520 --> 0:48:43.600
<v Speaker 2>the wide thing, and I really haven't talked about this enough.

0:48:43.920 --> 0:48:46.120
<v Speaker 2>The wider problem is as well, is all of these

0:48:46.160 --> 0:48:48.320
<v Speaker 2>people who went to Silicon Valley raised all this money

0:48:48.719 --> 0:48:51.879
<v Speaker 2>or have pretty much raised to sell companies that will

0:48:51.880 --> 0:48:53.920
<v Speaker 2>never sell, that they can never take public because they've

0:48:53.880 --> 0:48:56.200
<v Speaker 2>barn too much money, they don't really have great user

0:48:56.200 --> 0:48:59.359
<v Speaker 2>bases because they don't really have those, and so they're

0:48:59.360 --> 0:49:01.000
<v Speaker 2>just gonna sit there. And then you've got a bunch

0:49:01.040 --> 0:49:03.280
<v Speaker 2>of VC money tied up in that that will never exit,

0:49:03.320 --> 0:49:05.840
<v Speaker 2>and a bunch of limited partner money that will never exit.

0:49:06.800 --> 0:49:09.800
<v Speaker 2>I think that there is an entirely separate bubble building

0:49:10.960 --> 0:49:13.359
<v Speaker 2>that when that bust is going to, the depression within

0:49:13.480 --> 0:49:16.240
<v Speaker 2>Silicon value is going to be insane. It's already pretty gnolly,

0:49:16.560 --> 0:49:18.359
<v Speaker 2>but I think it's like thirty three percent of bench

0:49:18.440 --> 0:49:22.760
<v Speaker 2>capital when it's a AI last year. It's like, eventually

0:49:22.760 --> 0:49:25.040
<v Speaker 2>people are going to realize there's no exit for anyone.

0:49:25.120 --> 0:49:27.799
<v Speaker 2>And I don't know what that does. I mean, it

0:49:27.840 --> 0:49:30.600
<v Speaker 2>will piss off limited partners. The money that comes to

0:49:30.680 --> 0:49:32.120
<v Speaker 2>VCS is just not going to be there.

0:49:32.480 --> 0:49:36.160
<v Speaker 4>Well, so then that's the question, right, because venture capital

0:49:36.320 --> 0:49:42.640
<v Speaker 4>encourages on one level overvaluing because you need to figure

0:49:42.640 --> 0:49:44.680
<v Speaker 4>out a way to make more money than what you

0:49:44.760 --> 0:49:47.840
<v Speaker 4>put in on the exit within acquisition or some merger. Yeah,

0:49:47.880 --> 0:49:51.880
<v Speaker 4>but on another level, you're also working within a network

0:49:51.920 --> 0:49:54.839
<v Speaker 4>trying to enrich yourself and your friends, or trying to

0:49:54.880 --> 0:50:00.600
<v Speaker 4>build the infrastructure for future startups, portfolio options that you

0:50:00.600 --> 0:50:03.480
<v Speaker 4>and your friends make to come in and make money, whether.

0:50:03.320 --> 0:50:06.160
<v Speaker 2>You're building a platform the other people can invest in bits.

0:50:05.960 --> 0:50:09.280
<v Speaker 4>Of and so you know, on one level, I really,

0:50:09.320 --> 0:50:11.879
<v Speaker 4>I really do. I agree that there's not really much

0:50:11.920 --> 0:50:15.239
<v Speaker 4>of an exit ramp if there's actually no revenue and

0:50:15.320 --> 0:50:17.600
<v Speaker 4>no profits. But then also i'd be curious, like do

0:50:17.640 --> 0:50:19.480
<v Speaker 4>you think they're going to try to ram these things

0:50:19.480 --> 0:50:21.239
<v Speaker 4>through similar to like what we saw with Corey Weve

0:50:21.280 --> 0:50:23.279
<v Speaker 4>right where you know, like you you talked, I think

0:50:23.400 --> 0:50:27.920
<v Speaker 4>extensively about ways in which the financials there do not

0:50:27.960 --> 0:50:30.759
<v Speaker 4>actually make sense if you're interested in a company that

0:50:30.840 --> 0:50:32.600
<v Speaker 4>actually has the capital to do what it's going to

0:50:32.640 --> 0:50:35.480
<v Speaker 4>say is going to do, which is provide gpu compute

0:50:35.520 --> 0:50:38.720
<v Speaker 4>to everybody, and even though it has such a central

0:50:38.840 --> 0:50:43.280
<v Speaker 4>role in this ecosystem. It can't make profits that are

0:50:43.560 --> 0:50:45.960
<v Speaker 4>you know, that justify the capital that's getting it has

0:50:46.080 --> 0:50:49.680
<v Speaker 4>odious and burd burden some debt that should be a

0:50:49.800 --> 0:50:53.359
<v Speaker 4>massive red flag and it might be you know, round tripping, right, yeah,

0:50:53.520 --> 0:50:55.719
<v Speaker 4>but this is supposed to be like the darling of

0:50:55.760 --> 0:50:58.399
<v Speaker 4>the sector and it and it got pushed through. Part

0:50:58.440 --> 0:50:59.880
<v Speaker 4>of me feels like because of.

0:51:00.080 --> 0:51:05.800
<v Speaker 2>Of I mean Invation and Video and Magneto and Magnetar

0:51:05.880 --> 0:51:08.920
<v Speaker 2>Capital of course famous for the CDOs. Yeah, right, start

0:51:08.920 --> 0:51:12.279
<v Speaker 2>they're back. But with core Weave, they pushed it through

0:51:12.280 --> 0:51:14.720
<v Speaker 2>onto the markets. But that doesn't mean it can't die.

0:51:14.760 --> 0:51:15.960
<v Speaker 4>Right, Well, so that's the thing.

0:51:16.040 --> 0:51:17.200
<v Speaker 2>I do you think.

0:51:17.040 --> 0:51:19.359
<v Speaker 4>That it's possible that they'd be successful in pushing it

0:51:19.360 --> 0:51:21.400
<v Speaker 4>onto markets but it dies because I do, Yes, I

0:51:21.400 --> 0:51:22.960
<v Speaker 4>feel like there will will definitely be a lot of

0:51:22.960 --> 0:51:25.840
<v Speaker 4>investment incineration, But I also do think we're gonna have

0:51:25.920 --> 0:51:27.600
<v Speaker 4>bags dumped on everybody.

0:51:27.600 --> 0:51:29.480
<v Speaker 2>I think you could do it with something like core

0:51:29.560 --> 0:51:32.840
<v Speaker 2>Weave and Lambda, which is another situation where Nvidia is

0:51:32.840 --> 0:51:36.000
<v Speaker 2>the customer invested and also sells them the GPUs, which

0:51:36.040 --> 0:51:38.520
<v Speaker 2>they then use as collateral to buy more GPUs using

0:51:38.520 --> 0:51:41.960
<v Speaker 2>debt which is so good. You'll notice that there are

0:51:42.000 --> 0:51:45.320
<v Speaker 2>no software companies going public. There's no software AI companies

0:51:45.360 --> 0:51:48.000
<v Speaker 2>going public. Everyone thinks that open ai goes public here

0:51:48.040 --> 0:51:50.400
<v Speaker 2>and oh they've got the market's gonna if they can

0:51:50.440 --> 0:51:52.440
<v Speaker 2>even convert, the markets are gonna eat them for dinner.

0:51:52.680 --> 0:51:57.799
<v Speaker 2>Oh yeah, we're gonna burn bazillions of dollars forever. No,

0:51:58.000 --> 0:52:00.799
<v Speaker 2>they the markets didn't like Core. Weav that Core We've

0:52:00.800 --> 0:52:04.160
<v Speaker 2>wouldn't have gone public had Nvidia not put more money in.

0:52:05.120 --> 0:52:07.239
<v Speaker 2>Lambda is probably gonna be exactly the same, if they

0:52:07.280 --> 0:52:10.399
<v Speaker 2>even make it. You won't see software companies because that's

0:52:10.400 --> 0:52:14.800
<v Speaker 2>the other thing Core We've had, albeit bunches of debt assets,

0:52:15.120 --> 0:52:18.919
<v Speaker 2>they have data centers kind of through Core Scientific God,

0:52:18.920 --> 0:52:21.960
<v Speaker 2>I hate these fucking companies, but they don't they have

0:52:22.080 --> 0:52:25.319
<v Speaker 2>things that they can point to in relationships, even open Ai.

0:52:25.520 --> 0:52:28.840
<v Speaker 2>That's the thing with them, they don't. They barely have assets.

0:52:29.160 --> 0:52:32.240
<v Speaker 2>Oracle is building their data center in Abilene with Cruso.

0:52:32.600 --> 0:52:34.480
<v Speaker 2>They don't own any of the GPU. They have a

0:52:34.480 --> 0:52:37.200
<v Speaker 2>few GPUs I think for research I've heard, but Microsoft

0:52:37.239 --> 0:52:40.239
<v Speaker 2>owns most of their their infrastructure. They don't own their

0:52:40.360 --> 0:52:43.319
<v Speaker 2>R and D well they do, but Microsoft also has

0:52:43.320 --> 0:52:45.919
<v Speaker 2>access to that their intellectual property. Same deal. So it's

0:52:45.960 --> 0:52:49.160
<v Speaker 2>like what actual value doesn't AI start up have? People

0:52:49.200 --> 0:52:51.040
<v Speaker 2>always say oh, they're getting the data. They get the

0:52:51.120 --> 0:52:53.080
<v Speaker 2>data so that the data will tell them. It's like

0:52:53.120 --> 0:52:56.160
<v Speaker 2>what it's all that these horrible stories about, like oh,

0:52:56.200 --> 0:52:58.759
<v Speaker 2>Dozea's got an LLM, they're doing this one. What's the

0:52:58.920 --> 0:53:01.440
<v Speaker 2>end point? It's scaring, don't get me wrong, But and

0:53:01.480 --> 0:53:05.520
<v Speaker 2>then what and there never is one? And I hope someone,

0:53:05.640 --> 0:53:08.080
<v Speaker 2>I hope a AI software company goes public. I want

0:53:08.080 --> 0:53:09.680
<v Speaker 2>to see this so bad. I want to see you

0:53:09.719 --> 0:53:12.640
<v Speaker 2>have any idea. If you give me the open AI books,

0:53:12.680 --> 0:53:15.760
<v Speaker 2>the anthropic books, you become the official homie better offline.

0:53:15.760 --> 0:53:18.360
<v Speaker 2>I'll mention you on every episode. Get me these books.

0:53:18.360 --> 0:53:19.920
<v Speaker 2>But because I think all of them are going to

0:53:19.960 --> 0:53:22.279
<v Speaker 2>be like a dog's dinner, there's I've actually looked at

0:53:22.280 --> 0:53:25.840
<v Speaker 2>the markets an uber uber by comparison. They did burnish

0:53:25.800 --> 0:53:27.439
<v Speaker 2>it to the money. It's it's like twenty five billion

0:53:27.480 --> 0:53:30.120
<v Speaker 2>between twenty nineteen twenty twenty two. A lot of that

0:53:30.200 --> 0:53:32.000
<v Speaker 2>was on sales and R and D. It's pretty much

0:53:32.000 --> 0:53:34.160
<v Speaker 2>group on. I think also the R and D with

0:53:34.160 --> 0:53:37.799
<v Speaker 2>the autonomous cars, but separate problem but it's like, there

0:53:37.840 --> 0:53:40.160
<v Speaker 2>wasn't a I can't find an example of someone that

0:53:40.239 --> 0:53:45.799
<v Speaker 2>just annihilated fuel unless it's like planes. And I think

0:53:45.840 --> 0:53:49.960
<v Speaker 2>we've established the use case for planes by now clear

0:53:51.000 --> 0:53:54.360
<v Speaker 2>god Old. It's just it's all very frustrating. But you

0:53:54.360 --> 0:53:55.719
<v Speaker 2>know what, I think I'm gonna call it there. I

0:53:55.719 --> 0:53:58.200
<v Speaker 2>think we've had a good conversation. Allison. Where can people

0:53:58.239 --> 0:53:59.240
<v Speaker 2>find you?

0:53:59.239 --> 0:54:02.960
<v Speaker 3>You can find me on Blue Sky at amorrow or

0:54:03.560 --> 0:54:06.840
<v Speaker 3>on CNN dot com slash nightcap ed.

0:54:07.320 --> 0:54:09.680
<v Speaker 4>You can find me on Twitter at Big Black Jacobin.

0:54:10.320 --> 0:54:13.120
<v Speaker 4>You can find me on Blue Sky on Edward and

0:54:13.160 --> 0:54:16.200
<v Speaker 4>Guss Junior, and on substack at the Tech Bubble.

0:54:16.680 --> 0:54:19.040
<v Speaker 2>And you can find me of course at Google dot com.

0:54:19.320 --> 0:54:21.959
<v Speaker 2>Just type in prabagar Ragavan you'll find me. I pop

0:54:22.040 --> 0:54:24.480
<v Speaker 2>right up. That's all me. Thank you so much for

0:54:24.560 --> 0:54:27.359
<v Speaker 2>listening to everyone. This is my episodees are coming out

0:54:27.400 --> 0:54:29.399
<v Speaker 2>in a weird order because I'm recording this knowing there's

0:54:29.400 --> 0:54:31.120
<v Speaker 2>a three part of this week, but this will come

0:54:31.120 --> 0:54:32.800
<v Speaker 2>out with a monologue of some sort. Thank you so

0:54:32.880 --> 0:54:34.840
<v Speaker 2>much for listening everyone, of course, but he thank you

0:54:34.840 --> 0:54:37.160
<v Speaker 2>for producing here out in New York City. And yeah,

0:54:37.280 --> 0:54:38.319
<v Speaker 2>thanks everyone.

0:54:46.360 --> 0:54:48.040
<v Speaker 6>Thank you for listening to Better Offline.

0:54:48.160 --> 0:54:50.600
<v Speaker 2>The editor and composer of the Better Offline theme song

0:54:50.680 --> 0:54:53.319
<v Speaker 2>is Matasowski. You can check out more of his music

0:54:53.360 --> 0:54:56.279
<v Speaker 2>and audio projects at Matasowski dot com.

0:54:56.440 --> 0:54:59.839
<v Speaker 6>M A T T O S O W S K I.

0:55:01.400 --> 0:55:03.680
<v Speaker 2>You can email me at easy at better offline dot

0:55:03.719 --> 0:55:05.960
<v Speaker 2>com or visit better offline dot com to find more

0:55:05.960 --> 0:55:09.359
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0:55:09.400 --> 0:55:11.680
<v Speaker 2>recommend you go to chat dot where's youreaed dot at

0:55:11.680 --> 0:55:14.200
<v Speaker 2>to visit the discord, and go to our slash.

0:55:13.880 --> 0:55:15.760
<v Speaker 6>Better Offline to check out our reddit.

0:55:16.520 --> 0:55:17.880
<v Speaker 2>Thank you so much for listening.

0:55:18.719 --> 0:55:21.400
<v Speaker 1>Better Offline is a production of cool Zone Media. For

0:55:21.520 --> 0:55:24.680
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