maia-chess
Stockfish
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| maia-chess | Stockfish | |
|---|---|---|
| 97 | 1 | |
| 891 | 99 | |
| 3.1% | - | |
| 1.6 | 0.0 | |
| 9 months ago | almost 3 years ago | |
| Python | C++ | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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maia-chess
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Grandmaster-Level Chess Without Search
This was studied with the Maia series of bots. See:
https://github.com/CSSLab/maia-chess
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Chess-GPT's Internal World Model
There is a very interesting project on this exact problem called Maia, which trains an engine based on millions of human games played on Lichess, specifically targeting varying levels of skill from 1300 to 1900 Elo. I haven't played it myself, by my understanding is that it does a much better job imitating the mistakes of human players. https://maiachess.com
- A chess terminal user interface implementation
- Interested in going to my first tournament and was wondering if there is a place where I can review players classical games around 1700 rating so I can get an idea of what is expected and their strengths?
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Scientists claim >99 percent identification rate of ChatGPT content
In general the goal of these progrms is to win, not to pretend to be human.
In chess, there is a project called Maia which aims at predicting the human move rather than the best move. Even then it blunders less than humans of a similar rating, so it can still be detected.
https://maiachess.com/
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Most human engine to play against?
Maia Chess
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Do you have to buy Maia to use it offline?
It's on GitHub, you just need an interface like Nibbler.
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Anyone know if there are chess AIs trained like chatGPT, as a move predictor instead of a move maximizer as most have been (I think)?
That's exactly what Maia Chess is designed to do. https://maiachess.com/
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Can a 2000 elo bot blunder like this?
If you wanna play a more human like bot check out Maia https://maiachess.com/
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The Q&A Megathread for new and beginner chess players
If you want to play an engine who plays a lot more like a human, you should try Maia Chess.
Stockfish
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What have we learned from the best chess engines? What rules have they confirmed, modified or rejected in the old chess theory?
Well the main replies were like "if you can make it 100 elo better than you should be able to pass fishtest w/o any problem". Also I really like this part of the post: "(As a side note, another shogi engine developer (@nodchip on Twitter) is trying out his new shogi evaluation function within Stockfish. The new eval, called NNUE, brought many Elo gains and all the top engines now use it. It was Nodchip's fiddling with Stockfish that led the YaneuraOu developer to make this blog post in first place. https://github.com/nodchip/Stockfish )" and this is indeed what happened - NNUE was made to SF by nodchip. So idk. If you give up at stage of setting up test to fishtest you probably wouldn't be able to bring elo anyway because making it work is much more simple than developing NNUE.
What are some alternatives?
stockfish - Integrates the Stockfish chess engine with Python
lc0 - The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
Winter - UCI Chess Engine
zahak - A UCI compatible chess AI in Go
Stockfish - A free and strong UCI chess engine
lila - ♞ lichess.org: the forever free, adless and open source chess server ♞
MongoDB - The MongoDB Database
Auto-Chess - A chess bot that automatically calculates the best moves and plays them for you
pgnToFen - Takes PGN as input and returns FEN
product-extraction-benchmark
neural_network_chess - Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)