“I really do think that similar to how we saw with large pre-trained models before with small fine-tuned models made it like, had gains over the sort of GPT-II era, but then were obsoleted by GPT-IV being generally good at everything. I think, to be honest, you're going to see this generalization and learning across all kinds of things that means you benefit from having large single models rather than specialization or area fine-tuned models.”
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More from Sholto Douglas
Disclosure
Douglas: Frontier Labs Avoid RL Training Directly on ARC-AGI
“And I mean, I think if you are old on Arc AGI, then it would, you'd probably get superhuman at it pretty fast. But I think we're all trying not to RL on it so that it functions as like an interesting held out.”
Douglas: AI will use long-horizon reward signals within two years
“We've got very little rewards right now, but pretty quickly over the next year or two, you're going to start to see much more meaningful and long horizon rewards.”
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