James Zou
speaker
371 appearances
1 recordings
1 series
first heard Dec 2024
last heard Dec 2024
James Zou’s voice in public audio — every appearance, attributed to the second.
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Appearances
But then we also can see over time maybe the virtual lab will actually evolve their own meeting structures and maybe they can actually teach us like what's a more efficient way of doing science.
Um and that itself, that's almost like a sociology aspect of this could be also be fascinating to follow.
Well, one thing that's kind of interesting is that, you know, every meeting we have this critic, right, AI critic, whose job is to basically provide constructive feedback.
to everything that's been said.
And sometimes like the eight different agents they do disagree with each other, right?
And then of course the being language models they're very nice about it and very polite.
And then they have to somehow resolve their disagreements.
But one thing that's kind of interesting is that these language models, because of RHF, they're actually it tends to be overly polite, I think, right?
And especially the critics, sometimes maybe we do want the the the AI critic agent to be a little bit
harsher, like a little bit not mean, but like a bit more direct and say like, oh yeah, this is a bad idea.
Right.
And right now like it's uh somewhat like a very friendly social dynamics.
But I'll be curious to see almost use this as a test spec to see okay if we do have a more
aggressive critic, right, who's not worried about hurting the feelings of the other agents, right?
Would actually be more or less productive science.
Yeah, yeah.
Oh thanks for that uh context.
So as you mentioned, there's a lot of exciting developments recently around using sparse autoencoders as way to
extracts meaningful concepts basically that are learned by large language models, right?
Like GPT style models.
Showing 281–300 of 371 · page 15 of 19
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