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I'm just dropping this all over this thread but you're unfortunately mistaken

More show and less tell would be appreciated.

Summarizing here for my dear friends, the guy on the other end managed to fine tune a model gpt-3.5-fine-tune against stockfish vs stockfish games to perform at 1200 elo level against stockfish.

I have been proved wrong I should have quit while I was ahead. /s

I think your summary is not really correct, maybe I'm missing something. As far as I can read, the approximate takeaways are these:

* LLM chess play is hyper sensitive to the harness being used (see: the section on regurgitation), and only mildly sensitive to fine tuning

* The best ELOs the author was observing were from 1500 to 1750 or so (circa 2024/25). Not grandmaster, but no longer incompetent monkey either.

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