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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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Crypto M - Crypto News

@CryptoM · Post #65085 · 04/10/2026, 10:56 PM

🚀 Offchain Labs Co-Founder Ed Felten on the Future of Layer 2s Amid Ethereum's Mainnet Scaling Offchain Labs co-founder Ed Felten expressed confidence in the continued relevance of layer 2 solutions like Arbitrum, even as Ethereum focuses on scaling its mainnet. According to NS3.AI, Felten highlighted that layer 2s can maintain their competitiveness by providing faster response times, reduced block times, and increased throughput. #OffchainLabs#EdFelten#Layer2#Ethereum#Arbitrum#Scaling#Blockchain#NS3AI#Throughput#ETH#ARB