Uncapped with Jack Altman
00:52:31 · Jack Altman, Ev Randle
[00:52:31] S0: because there's there's just no limit Very unintuitively, by the way. Everybody thought that the data thing would run out, they would buy the data, and then they bought the data, and now they can go And the movie's gone. Just turned out to be wrong. [00:52:42] S1: Yeah, reality has a surprising amount of detail, as they say. And there's just so many different things that these labs want to train on. There's so many different data types that emerge. And I think how much we've seen in digital space, in the digital data space, we're going to see... I think you have to see more. I don't know if he's the first one to come up this, but Brendan Foody at Mercor says the internet was a one time subsidy on the production of LLMs. And these physical spaces, they don't have as much of that one time subsidy. They don't have the internet. They have some data. There's a lot of biodata. There's some robotics data, but nowhere near [00:53:14] S0: And you also need a ridiculous diversity of data, it turns out, to build these models well. And so it's just not going to happen overnight. [00:53:20] S1: But I think it's going be like a civilization scale thing. Yes. I think maybe economy scale, civilization scale is maybe a little dramatic. But to get these things where they need to be, it's going to take an I think it's going be Manhattan Project level scale. Yes. [00:53:34] S0: It'll be a bigger effort to make it actually happen. But if you imagine what's really possible with good AI robotics, it's probably bigger than all the digital stuff so far, if it actually works.
00:53:34 · Jack Altman, Ev Randle
[00:53:34] S0: It'll be a bigger effort to make it actually happen. But if you imagine what's really possible with good AI robotics, it's probably bigger than all the digital stuff so far, if it actually works. [00:53:48] S1: I mean, if you think about the GDP impact of maybe it could get scary because if you extend lifespans, then you have an even more gring population, but would getting too much in the macro. Not But to get too personal with it, but again, my dad got diagnosed with a very advanced form of cancer. I look at the survivor cohort rates. It was eight percent by year two or whatever, yet immunotherapy drugs produced in the last ten years have given him a ten plus year prognosis, which would if he got the disease twelve years ago, he's dead, and now he's in remission. And we are just at the start of probably 100 to 1,000 times that amount of things happening, it's like every single disease area, every single cancer. We've solved everything else from AI, and when we solve bio through all the scale of investment we're going to need to make, it's going to make probably a much, much larger impact than any of these other things. [00:54:47] S0: Well, think that was enough for this one. [00:54:48] S1: This was lovely. This is great. What are you going to do for Halloween with the family? [00:54:52] S0: We're going to go trick or treating in an extremely dense neighborhood. Wow. And I'm gonna just try not to lose the kids. [00:54:59] S1: That's [00:54:59] S0: great. That's always my goal.
00:54:59 · Jack Altman, Ev Randle
[00:54:59] S0: great. That's always my goal. [00:55:00] S1: Is it NSF? In the... On The Peninsula. On The Peninsula? Yeah. Mhmm. Yeah. Yeah. Not in to. Well, Brett and I are gonna be in in San Francisco. [00:55:08] S0: Why don't you guys come down? [00:55:09] S1: We we might we might come talk about it. [00:55:11] S0: And then [00:55:11] S1: do we do we get a duo review, or is that next episode? [00:55:13] S0: The duo the duo is unbelievable. Duo. Do you have the duo? Yeah. The duo is unbelievable with the with the open. [00:55:20] S1: Wow. It's incredible. You liking it? So this is day two? [00:55:24] S0: This is this is... Yeah. I'm twenty four hours in. And you love it. I'm obsessed with it. Amazing. But if... Next episode, let's see if I Yeah. [00:55:30] S1: Yeah. We'll see we'll see the two if [00:55:31] S0: I've returned it. [00:55:32] S1: Yeah. Yeah. Alright. [00:55:33] S0: I'll see [00:55:33] S1: you later. [00:55:33] S0: Thanks, Jack. Goodbye.