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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 #65324 · 04/12/2026, 11:11 PM

🚀 Bitwise Amends Spot Hyperliquid ETF Proposal with SEC Bitwise Asset Management has submitted a second amendment for its proposed spot Hyperliquid ETF to the U.S. Securities and Exchange Commission as of April 10. According to NS3.AI, the amendment outlines a 0.67% annual management fee and introduces Flowdesk and Wintermute as approved HYPE trading counterparties, while removing A1 from the list. Anchorage Digital Bank remains the custodian for the fund. The ETF is set to trade on NYSE Arca under the ticker BHYP, with plans to stake the majority of its HYPE holdings while maintaining a 30% liquidity reserve for redemptions. #Bitwise#AssetManagement#HyperliquidETF#SEC#Amendment#ManagementFee#Flowdesk#Wintermute#A1#AnchorageDigitalBank#NYSEArca#BHYP#HYPE#LiquidityReserve#Redemptions