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this has been done for a few gens now - would be more interesting to see someone distill a large open source model down lean enough, retaining for this knowledge domain only, so that it can operate the machine locally
or develop a platform for distilling those models thats machine agnostic
@sanpellyenjoyer guy on left is the dependable second in command but also possibly scheming his own come-up within the anti-Flock community
guy on the right is the classic lowly, lunkhead archetype - the dumbo ears are a dead giveaway. They keep him around because he knows to much.
Sam Altman admits he was wrong on AI's timeline and says society and the economy will adapt more slowly
"I thought when we got to GPT-4, which was back in 2023, that very quickly after that there was going to be much more disruption, software businesses up for grabs right away, than it turned out to be."
"I think I was wrong about a few things, but one in terms of the speed: the economy just has so much inertia."
"People keep doing the same things, buying from the same company, wanting to use their tools the same way. I think this is actually a positive in many ways, and it's going to make this big transition go smoother and slower. I'm grateful for it."
"But it means we've all been too ambitious on timelines. Even with this incredible technology, society and the economy will adapt more slowly."
@MatthewParrott No its because its breakthrough capabilities are gained via RL post training. Result is that it loses the ability to articulate its real understanding in conversation.
Seeing this across the board, actually - not just claude
@Jesseeckel It's just marketing and they keep doing it bc it keeps working. Next year they will say the same about some new model and we'll be having the same conversation.