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Dev tools · February 12, 2026

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Solving Sudoku reasoning via Energy Geometric models

We were genuinely impressed by Yann LeCun’s recent announcement about his Sudoku solver based on Energy-Based Models here: https://logicalintelligence.com/yann-lecun So we (a software engineer and prodigy mathematician) worked in the weekend to see if we can beat it and we did! If Kona solves puzzles in 313 milliseconds, we currently solve 270,000 puzzles per second! We do not know the internal mechanics behind Logical Intelligence’s system, but we are happy to share ours in the webpage there is a full description, code and also a paper published. Why people are obsessed with…

In plain words

Solving Sudoku reasoning via Energy Geometric models is a software tool that solves Sudoku puzzles using energy-based geometric approaches. Built by a software engineer and mathematician, it processes thousands of puzzles per second using an optimization method based on energy models. The developers have published the complete code, methodology, and research paper. The tool is designed for developers and researchers interested in constraint satisfaction problems and their applications to scheduling, resource allocation, and logistics optimization.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

We were genuinely impressed by Yann LeCun’s recent announcement about his Sudoku solver based on Energy-Based Models here: https://logicalintelligence.com/yann-lecun So we (a software engineer and prodigy mathematician) worked in the weekend to see if we can beat it and we did! If Kona solves puzzles in 313 milliseconds, we currently solve 270,000 puzzles per second! We do not know the internal mechanics behind Logical Intelligence’s system, but we are happy to share ours in the webpage there is a full description, code and also a paper published. Why people are obsessed with Sudoku: we think is because being a CSP, it can solve some serious business problems such as work scheduling, resource allocations and logistic optimization. For any questions reach me out to: [email protected].

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