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Enterprises absolutely care about benchmarks (especially internal ones, but the headline benchmaxxed ones too), and the Ant coding thing is a great example. How
by jlorentz1 20d ago
Enterprises absolutely care about benchmarks (especially internal ones, but the headline benchmaxxed ones too), and the Ant coding thing is a great example. How long did that last again? A few months? Illustrates my point perfectly. Switching is easy. Why would a business have any loyalty to one text->text endpoint over another? The consumer market may be less responsive to quality, sure, but it is more responsive to cost which I mentioned. It's also just not as big.
Well, I'm not really talking about freezing models forever either, I'm saying that nonstop training is a necessary part of their business. I don't think slowing down is untenable, I just think it's silly not to expect & account for ongoing training costs. That's all my original comment meant.
I also don't understand why you think the open labs couldn't catch up to a given level of quality. If something's been done twice already, why can't a well funded team of experts somewhere else do it a third time? Sounds like wishful thinking.
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- famouswaffles 20d agoEnterprises have loyalty, but an obvious step-change in ability will sway. No, i don't think open source will zoom past the frontier (the necessary step change) just because they put the brakes on. Like i said, there's a reason Open Source is perpertually behind. If frontier labs decide to stop chasing AGI, then what, open source providers will step in to bleed a lot more money without being able to distill from the frontier ? To what end ?
- jlorentz1 20d ago> To what end? To chase AGI, of course! An "open" lab does not have to stay open forever. Are you confident that a step change in open source is unlikely? The industry seems to disagree, considering billions are being spent on them and billions are being spent to stay ahead of them. Open step changes have happened before (eg R1, or heck, self-attention). By the way, AIs themselves are quite good at writing GPU kernels now.