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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 #65379 · 04/13/2026, 03:19 AM

🚀 Bank of Korea Nominee Advocates for CBDCs and Stablecoins in Digital Currency Ecosystem Shin Hyun-song, the nominee for the governor of the Bank of Korea, has emphasized the importance of Central Bank Digital Currencies (CBDCs) and commercial bank deposit tokens in shaping the digital currency ecosystem. According to NS3.AI, Shin expressed support for a stablecoin denominated in the domestic won, highlighting that maintaining trust in the currency is paramount. He also noted that stablecoins could facilitate the exchange of tokenized assets and coexist alongside deposit tokens. #BankofKorea#CBDC#Stablecoins#DigitalCurrency#ShinHyunSong#CentralBankDigitalCurrencies#CommercialBankTokens#TokenizedAssets#StablecoinWon#DigitalCurrencyEcosystem