What does model naming have to do with pacing or not?
This is a ~20% relative quality improvement on the frontier (fable) at ~40% of the cost, just 21 days after the last release.
replyIntelligence per dollar is the only thing that matters, this is what controls how many agents you can run in parallel, how long you can let them run etc. This is absolutely a step improvement on the frontier and not some lipstick on a harmless second tier model.
pretty annoying topic tbh. You're just weaponizing this dumb blog post so anything released is now a contradiction. By your same logic, if all inference was served at 50% less power cost and the savings are passed on somewhat to the user, its also a contradiction of the blog post.
replyIts an agenda serving blog post, but constantly bringing it up like this is just obnoxious.
Well yes, If you magically found a way to reduce a models energy usage by 50%, the thing that would happen immediately after is a doubling of a training scale and of the test time compute assigned for a given budget.
I don’t see how that wouldn’t be considered pushing the frontier. Given that scaling is the one thing that has been bringing us closer and closer to AGI, a sudden 2x increase in scaling laws would definitely not be considered pacing. You seem to see a contradiction where I don’t.
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