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Drawn from what Noam Brown said
scaling laws Whether more compute keeps buying more capability, and where the curve now bends -- pre-training, post-training, test-time.
Word for word, with the source under each one. They did not write this page.
Research scientist at OpenAI
and I don't think we're headed to that world largely because of the fact that the models rely so much on large scale test time compute in order to achieve um their greatest intelligence. If you if it requires so much test time on compute to unlock the full capabilities of the model, then that means you're bottlenecked by time
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