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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 #65265 · 04/12/2026, 12:44 PM

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🚀 Paradigm CEO Highlights Gen Z's Impact on Crypto Innovation Paradigm, a crypto investment firm managing approximately $12 billion, is led by co-founder and CEO Matt Huang. According to Odaily, Huang acknowledges that while Gen Z employees can sometimes create chaos, their creativity and technological breakthroughs are impressive. He remains committed to investing in young talent, citing the example of Charlie Noyes, who joined Paradigm at 19 after dropping out of MIT. Noyes played a crucial role in MEV research and Flashbots investment, contributing significantly to the Ethereum ecosystem. Huang likens the Paradigm team to running an 'X-Men Academy,' noting that despite the unpredictability of young employees, their technical skills and innovation often surpass those of traditional professionals. #GenZ#CryptoInnovation#Paradigm#MattHuang#Ethereum#MEV#Flashbots#Investment#YoungTalent#TechBreakthroughs#XMenAcademy#ETH

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