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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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@CryptoM · Post #65079 · 04/10/2026, 08:28 PM

🚀 Stablecoin Reward Negotiations Intensify Ahead of Senate Vote Negotiations over stablecoin rewards are gaining momentum as lawmakers prepare to reconvene next week. According to NS3.AI, the Senate Banking Committee is set to vote on a comprehensive crypto market structure bill by the end of the month. A recent report from White House economists suggests that stablecoin rewards are unlikely to significantly impact bank lending or broader credit conditions. However, banking advocates are pushing for stricter language on yield prohibitions, while crypto firms argue that such limits could stifle innovation. #Stablecoin#Crypto#SenateVote#Banking#CryptoRegulation#FinancialInnovation#YieldLimits#CreditConditions