Thread

Show HN: A Claude Code skill to analyze your chess games

75 points · 57 comments · brumar

Bootvis · 1790450573 · focus · HN ↗
Already a year ago I vibe coded Babelfish: <a href="https://github.com/bobjansen/Babelfish" rel="nofollow">https://github.com/bobjansen/Babelfish
It integrates an LLM of your choice with StockFish to analyze games. Back then, the results weren't very good and I abandoned the project but a lot has changed (the LLM's got better and I did too) so maybe it is time to take another stab at it.
1. jeremyjh · 1790453866 · focus · HN ↗
  LLMs have gotten better at things they've been heavily post-trained for; its really post-training that has gotten better.
  1. Bootvis · 1790454993 · focus · HN ↗
    The early GPTs were supposedly reasonable at chess but it indeed is not a very useful skill to have for an LLM (Elo 1800 IIRC) which is stronger than most players and for them it could be a useful tool.
    Even at higher levels, I think there could be use. The Dvoretsky example on my GitHub is real but it’s not a guarantee you get it and it could just be reiterating from training. What didn’t work for me was forcing it to look at lines in detail, but maybe with larger context and better engineering, you can get the LLM to extract themes from the search tree. With compare and contrast, it could maybe figure out why a move works in one variant and not in another and produce a coherent explanation of this nuance.
    I’m not trying this yet because it would take a lot of tokens and I don’t have the time.
    jeremyjh · 1790455808 · focus · HN ↗
    1800 was ChessGPT, it was post-trained on chess.

Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.