The Ledger
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Will Brown: Academia Will Likely Be the Best Source of AI Evals
“I mean, I do think that like the best source of evals going forward is probably going to be academia.”
Brown: GRPO is more memory efficient and easier to distribute
“GRPO is, like, great for, like, leaning heavy on highly parallel inference compute. It's more memory efficient for the actual training process. It's much easier to do in a distributed fashion because you have less gradient syncing and less model weight copies.”
Algorithms for practical multi-agent RL do not yet exist
“Multi-agent RL's hard. I did five years of it in grad school. It's like not easy. And to the algorithms don't really even exist for the things you would really want to do.”
No legitimate open-source million-token context models exist at scale
“Scaling to, like, million token contexts is, like, really, really hard. There, I don't think there are real, like, open source replications, open token context scaling, Beyond, like, tiny, like, academic model sizes.”
Brown: Reasoning effort dropdowns will disappear from chat interfaces
“I think in chat interfaces, it probably won't stick around. Like, I don't think we're always going to have the dropdown of like Oath for many and Oath for many high. That feels silly.”
No open-source model currently matches OpenAI's general agent capabilities
“There really isn't currently an open source model that behaves in the way that these models do. We have things like R-one, which are great at kind of the single-term math and code reasoning problems. But they are not in the general purpose agents world yet.”