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Comment on NanoGPT Speedrun Frontierparent

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So maybe this is a simple way to put it..

They gave 18 frontier models the task of “researching” how to improve a lab-rat nano model’s training. Stopping when it met a quality goal of a target loss rate. During each autonomous research session, the AI repeatedly tried changes, tested them, and used the results to decide what to try next. They repeated the whole research session many times with different seeds to average out variance.

Thank you. The primeintellect writing is like an icepick to the forehead.

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