the big step was having it reason through math problems that weren't in the trai... | Hacker News

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		sharemywin 4 months ago \| parent \| context \| favorite \| on: GPT-5 the big step was having it reason through math problems that weren't in the training data. even now with web search it doesn't need every article in the training data to do useful things with it.

Ferrus91 4 months ago [–]

This is using think time compute and reinforcement learning. I think this is going to plateau even faster than the initial LLM scaling though.

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