TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

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

Results

1 similar post found

Search: #uscrypto

当前筛选 #uscrypto清除筛选
Crypto M - Crypto News

@CryptoM · Post #65242 · 04/12/2026, 08:25 AM

🚀 Former Bank of China VP Comments on U.S. Crypto Regulation Approach Former Bank of China Vice President Wang Yongli has expressed that the United States' method of classifying and regulating crypto assets warrants examination. According to NS3.AI, Wang Yongli noted that the CLARITY Act guidance document represents a notable advancement. However, he emphasized that nations should tailor their crypto asset regulations to align with their specific circumstances. #BankOfChina#CryptoRegulation#USCrypto#CLARITYAct#WangYongli#CryptoPolicy#FinancialRegulation#Blockchain