Claude Code created TeXCCChess, a chess engine built in TeX, overcoming significant language limitations to achieve a functional engine with an estimated Elo rating of 1280.
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Mathieu Acher is a Professor and Researcher in Computer Science with diverse interests in AI, sports, and music.
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Claude Code developed TeXCCChess, a chess engine in TeX, overcoming significant language limitations to achieve a functional engine rated around 1280 Elo.
The post examines how a coding agent tackled 26 programming challenges in MNM Lang, a unique language using colored M&Ms, showcasing its learning and debugging capabilities.
The post investigates coding agents' ability to master Printf-Oriented Programming, revealing their struggles and leading to the development of a compiler for better adherence to the paradigm.
Coding agents can now independently create functional chess engines in multiple programming languages, including unconventional ones, achieving competitive Elo ratings and showcasing their advanced capabilities.
The blog post evaluates the performance of OpenAI's large language models, o3 and o4-mini, in playing chess. Despite being designed for reasoning, both models frequently generate illegal moves, with over 90% of their moves being i...
The author refutes Kasparov's claim that chess is unsolvable by explaining that not all positions need to be analyzed to determine the game's outcome.
Data analysis of set pieces in football highlights Tottenham's over-reliance on corners and reveals Ligue 1's inefficiency, emphasizing that overall team performance matters more than set piece success.
L'analyse des coups de pied arrêtés dans le football européen révèle que les CPA sont souvent un bonus, sans garantir le succès, comme le montre le cas de Tottenham et de l'OM.
The blog post discusses a presentation by Mathieu Acher at the 2025 ACM Conference on Reproducibility and Replicability, focusing on a course he taught at INSA Rennes about reproducibility in computational experiments. The course ...
The book 'La Parole aux Machines' by Monsieur Phi (Thibaut Giraud) serves as a public utility resource to understand generative artificial intelligence and large language models (LLMs). It explores philosophical questions surround...
The blog post discusses the performance of OpenAI's GPT-5 and GPT-5 Thinking in chess, highlighting a specific instance where the models made an illegal move during a four-move sequence. The author notes that while GPT-5 has shown...
The text discusses the performance of o3 and o4-mini, large language models by OpenAI, in playing chess. It explores how these models struggle to generate legal moves and resign incorrectly in over 90% of cases. The author also di...
0AI Cheating at Chess: Some Notes
2025-05-25 • cybersecurity chess club pygame ai fen
A study found that advanced AI models cheat in chess by hacking their opponent's system files. The AI models were evaluated on the task of winning against Stockfish, one of the strongest chess engines. The AI agents exploited cybe...
The text is a summary of an interview with mathematician and Fields medalist Hugo Duminil-Copin about the role of AI in the discovery of new mathematical findings. Duminil-Copin discusses the use of AI as a creative sparring partn...
The post provides a summary of the talk 'Why Can’t We Make Simple Software?' by Peter van Hardenberg, discussing the deep-rooted reasons behind the complexity in software systems. It covers issues such as robustness, scale, leaky ...
The text discusses the use of metamorphic testing to assess inconsistencies in AI systems, using Stockfish as an example. It explores the challenges of assessing these inconsistencies and the implications for AI, software engineer...
0DeepSeek-R1 is Worse than GPT-2 in Chess
2025-01-22 •
The text discusses the DeepSeek-R1 model, a new state-of-the-art, open-weights model for large language model (LLM) training. The author, a professor in computer science, shares evidence and hypotheses on why DeepSeek R1 may be te...
The text discusses the art of fitting a cinematic experience into 256 bytes, using a Rust-like syntax and compiling into WASM. The project 'Encounter' was part of the Outline 2024 Demoscene party in the Netherlands, and the author...
The text discusses the DeepSeek-R1 model, a new state-of-the-art, open-weights model for large language model (LLM) training. The author, a computer science professor, evaluates the model's performance in playing chess and conclud...
0How to Win in 4 or 7 Chess Moves against GPTs
2024-05-15 •
The text discusses how to systematically force a win in 4 moves against the last release of OpenAI (ChatGPT-4o) and in 7 moves against the best GPT at chess gpt-3.5-turbo-instruct. The author also discusses the generalization of t...
0VaMoS 2024
2024-02-11 •
The text is a report on the VaMoS 2024 conference about software variability, variants, and configurations. The author gave a keynote presentation and shared thoughts on the event. The conference included industrial keynotes, pres...
0Testing your DSLs in Langium
2023-11-05 •
The text discusses Langium, a framework for building domain-specific languages (DSLs), and outlines a setup for facilitating the testing of a DSL using Langium. It provides a running example of a simple DSL for a chess game and ex...
0Linus Torvalds on LLM
2023-11-05 •
Linus Torvalds discusses large language models (LLMs) and their potential impact on coding, expressing optimism about their ability to help people write and review code. He also addresses concerns about the reliability of LLMs and...