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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 #65371 · 04/13/2026, 02:55 AM

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🚀 BTC Decline Affects Whale's Investment Strategy On April 13, BTC experienced a slight decline, impacting the HYPE token, which fell before recovering above $41. According to BlockBeats, a major investor known for profiting from a long BTC exchange rate strategy is facing pressure, with a capital withdrawal of $1.9 million this week. The investor currently holds a BTC long position with 40x leverage, valued at $30.06 million at an average price of $70,557, and a HYPE short position with 5x leverage, valued at $23.03 million at an average price of $38.93. The positions were established during a previous HYPE surge, with the full setup completed by March 20, totaling approximately $53 million. Since the establishment of these positions, the investor has incurred a net loss of about $1.32 million, with the portfolio yet to achieve positive returns. #BTC#HYPE#WhaleInvestment#Leverage#CapitalWithdrawal#CryptoStrategy#BTCDecline#InvestmentLoss#CryptoMarket

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