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Dan Fu: commitment

24 Dec 2024 Latent Space 2024 in Post-Transformers Architectures (State Space Models, RWKV) [LS Live @ NeurIPS]

“I know I just gave a whole talk about it, but you know, what, what's the point of doing research if you can't, you know, play both sides. But I think one of the, so I think for both of us, the reason that we first got into this was just from the first principled questions of there's this quadratic thing.”

— Dan Fu

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Speaker
Dan Fu
Attribution
Verified speaker
Claim type
commitment
Recorded
24 Dec 2024
Publisher
Latent Space

Transcript context

…Can we open up Q& A and hot takes for the audience? I have a hot take Q& A. Do these scale? When, when 405B state space model, RAG exists, no one does long context, who's throwing in 2 million token questions, hot takes? The, the who's throwing in 2 million token question, I think, is, is a really good question. So I actually, I was going to offer that as a hot take. I mean, my hot take was going to be that long context doesn't matter. I know I just gave a whole talk about it, but you know, what, what's the point of doing research if you can't, you know, play both sides. But I think one of the, so I think for both of us, the reason that we first got into this was just from the first principled questions of there's this quadratic thing. Clearly intelligence doesn't need to be quadratic. What is going on? Can we understand it better? You know, since then it's kind of turned into a race, which has [00:38:00] been exciting to watch, like, how much context you can take in. But I think it's right. Nobody is actually putting in a two million context prompt into these models. And, and, you know, if they are, maybe we can go, go You know, design a better model to do that particular thing. Yeah, what do you think about that? So you've also been working on this. Do you think long context matters? So I'm going to burn a bit. How many of you remember the news of Google Gemini supporting 3 million contacts, right? Raise your hand.…

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