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Speaker unverified: belief

29 Mar 2025 Latent Space Unsupervised Learning x Latent Space Crossover Special

“I think that we're most interested, at least from our side and like, you know, foundation models for specific use cases and more specialized use cases.”

— Speaker unverified

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Speaker
Speaker unverified
Attribution
Not verified from this transcript
Claim type
belief
Recorded
29 Mar 2025
Publisher
Latent Space

Transcript context

…pursue a GI, you know, all, they all want to be like, oh, we'll, we'll like hit, you know, soda on all the benchmarks and like, they can't all do it. Yeah. I mean, look, I don't know if Ilia has the secret secret approach up his sleeve of of something beyond test time compute. Mm-hmm. But it was funny, I, we had Noam Shaer on the podcast last week. I was asking him like, you know, is, is there like some sort of other algorithmic breakthrough? Would he make a Ilia? And he's like, look, I think what he is implicitly said was test time compute gets to the point where these models are doing AI engineering for us. And so, you know, at that point they'll figure out the next algorithm breakthrough. Yeah. Which I thought was was pretty interesting. I agree with you folks. I think that we're most interested, at least from our side and like, you know, foundation models for specific use cases and more specialized use cases. Mm-hmm. I guess the broader point is if there is something like that, that these companies can latch onto and being there sort of. Known for being the best at. Maybe there's a case for that. Largely though I do agree with you that I don't think there should be, at this point, more model companies. I think it's like these unique data sets, right? I mean, obviously robotics has been an area we've been really interested in. It's entirely different set of data that's required, you know, on top of like a, a good BLM and then, you know, biology, material sciences, more the specific use cases basically. Yeah. But also specific, like specific markets. A lot of these models are super generalizable, but like, you know finding opportunities to, you know, where, you know, for a lot of these bio companies, they have wet labs, like they're like running a ton of experiments or you know, same on the material sciences side. And so I still feel like there's some, some opportunities there, but the core kind of like LLM agent space is it's tough, tough to compete with the big ones. Yeah. Agree. Yeah. But they're moving more into product. Yeah. So I think that's the question is like, if they could do better vertical models, why not do that instead of trying to do deep research and operator? And these different things. Mm-hmm. I think that's what I'm, in my mind, it's like the agents coming…

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