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Source channel @githubtrending · Post #15314 · Dec 6

#python#brain_inspired_ai#deep_learning#large_language_models#reasoning The Hierarchical Reasoning Model (HRM) is a new type of AI that reasons more like a human brain, using a fast part for quick details and a slow part for big-picture planning. It solves hard logic tasks like Sudoku, mazes, and IQ-style puzzles very well, even though it is tiny (only 27 million parameters) and learns from very little data (just 1,000 examples). Unlike most large language models, it does not need long chains of written reasoning steps or huge amounts of training, which makes it much faster, cheaper, and more efficient. For the user, this means powerful reasoning in a small, fast system that can run on ordinary hardware and still beat much larger models on tough problems. https://github.com/sapientinc/HRM

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@kejiqu · Post #4203 · 02/27/2026, 10:50 AM

AI 正在重塑世界顶级围棋选手们的思考方式 AI正在深刻改变围棋运动。Google DeepMind 的 AlphaGo 在 2016 年击败李世石后,AI 彻底颠覆了围棋的策略和训练方式。职业棋手现在依赖 AI 程序如 KataGo 进行训练,模仿 AI 的棋步,并分析比赛。尽管 AI 改变了比赛风格,导致开局策略同质化,但它也为女性棋手提供了更多机会,并促进了训练的 democratizing。顶级棋手如申真绪正在利用 AI 提升水平,但同时也面临着理解 AI 思考方式的挑战。尽管 AI 已经超越了人类棋手,但人们仍然更喜欢观看人类之间的比赛,因为人类比赛更能展现个性、创造力和戏剧性。MIT Technology Review 🏷#AI#Go#AlphaGo#KataGo 📢频道👥群组📝投稿