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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 #65225 · 04/12/2026, 04:30 AM

🚀 Stablecoin Transaction Volume Projected to Surge by 2035 Chainalysis has projected a significant increase in the inflation-adjusted real economic transaction volume of stablecoins, estimating a rise from $28 trillion in 2025 to $719 trillion by 2035. According to NS3.AI, this growth could see stablecoin payment processing volumes reaching parity with Visa between 2031 and 2039. #Stablecoin#TransactionVolume#Crypto#Blockchain#Finance#PaymentProcessing#Visa#EconomicGrowth#NS3AI#Chainalysis