Gary Marcus: belief

Transcript context

…And they're also incentivized not to open it up and you know, to not be transparent about it and so forth unfortunately. Yeah. I think we have a little disagreement there about transparency and how much we might expect. I think you're a little bit more optimistic. And I'm with Daniel and being a little bit less optimistic about transparency. I'm especially less optimistic about transparency as we get closer to having actual AGI or let's say differentiated AI. So right now I would say that what's there is not very differentiated. Everybody's kind of using LLMs with reasoning models and so forth. There's some differentiation in how people do their RL and what their data sets are, but I think there's not so much value in transparency until somebody has something that really is unique that they think other people aren't going to just reconstruct very rapidly. And as 1 gets to that point of having some unique piece of intellectual property, which I think will happen, there's even more reason to be less transparent. So I think I'd be optimistic about being transparent about numbers of the best models internally. Not necessarily the methods that were used to create them or the weights for them, but at least the public knowing what's going on, what's the peak capabilities that the models are exhibiting and then being aware of that.…

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