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Source channel @githubtrending · Post #15539 · Mar 5

#python#agent#llm#llm_agent#llm_reasoning#machine_learning_systems#mlsys#reinforcement_learning#rl AReaL is a free, open-source system for fast asynchronous reinforcement learning to train large AI models in math, coding, search, and agents. It decouples generation and training for up to 2.77x speedup, stable performance, and easy setup on single or 1000+ GPUs with algorithms like GRPO/PPO. Install via git/pip, run examples like GSM8K math instantly. You benefit by building top AI agents affordably and quickly, reproducing results with shared data/models, saving time/money vs. slow synchronous tools. https://github.com/inclusionAI/AReaL

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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