Shawn Wang: prediction

Transcript context

…Yeah. Just because those are the models that people actually wanna end up using. And it’s just like cost prohibit. It is more, yeah, it’s cost. Yeah. It’s, it’s not the want, it’s just, just, just the cost. Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that’s proving to be wrong. And well then if I’m wrong, how wrong? How wrong am I? Do we do 200 trillion? Do we do two quarter trillion, whatever? Um, and I don’t think we have the straight answer to that, but like, uh, it’s interesting that we are continuing to scale number of pers when everyone kind of assu like can see that we’re not going to get like the next thousand or 1 million x from this paradigm. So like the others, like the alias of the world are working on other. Um, model architecture improvements. We need a different scaling law, I guess, because like, we’re, I, I feel like people already already feel like we’re tapped out on this. Like the, the end, the end state of this is we turn most of the world into data centers and like, I don’t know. I don’t know if we want that. Yeah, I mean, uh, if the, if, if, if the return of intelligence are there, maybe, uh, maybe not so bad.…

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