Sebastian Raschka

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1,024 appearances 1 recordings 1 series first heard Feb 2026 last heard 1 Feb

Sebastian Raschka’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Feb 2026 with 1.

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Lex Fridman Podcast · #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI · 1 Feb 2026 podcast

And I think that's not because the LLM can't do X, Y, Z. It's because people don't want it to do it this way.

Okay, I agree.

I think this will happen in a lot of domains, especially also like domains that have a lot of, you know, resources like finance and legal and pharmaceutical companies.

But then again, is it really AGI again, because we are now specializing it again.

And then again, is it really that much different from back in the day how we had specialized algorithms?

I think it's just the same thing, way more sophisticated, but

I don't know, is there a threshold when we call it AGI, I guess?

I think the real cool thing is here that we have the foundation models that we can specialize.

I think that's the breakthrough at some point.

Right now, I think we're not there yet because, well, first, it's too expensive, but also...

You know, like Chachapiti doesn't just give away that Chachapiti to customize it.

I think once that's going to be true in some way, and I think I can imagine this as a business model that Chachapiti says at some point, like, hey, you know, Bank of America for 100 million, we will do your custom model or something like that.

I think that will be the huge economic value add.

The other thing, though, is also companies.

I mean, right now, what is the differentiating factor?

I mean, if everyone uses the same LLM, if everyone uses ChatGPD, they will all do the same thing again.

I mean, then, well, everyone is moving in lockstep, but usually companies, they want to have a competitive advantage.

And I think there's no way around using some of their private data and experimenting and maybe specializing.

It's going to be interesting, yeah.

Also, specification-wise, I think the problem is also for arbitrary tasks.

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