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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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@kejiqu · Post #4249 · 03/10/2026, 02:50 AM

灵活的猫脊椎揭示了“落猫问题” 科学家们持续研究猫在坠落时总能着陆的机制。自1700年以来,研究人员通过实验分析猫的身体结构,提出了包括“蜷缩和转动”、“花样滑冰运动员”、“弯曲和扭转”以及“螺旋桨尾巴”等四种假设。发表在《The Anatomical Record》期刊上的新研究分析了猫脊椎的灵活性。Greg Gbur 在其著作 *Falling Felines and Fundamental Physics* 中强调,猫并非理想的刚体,其运动比想象的更为复杂。Etienne-Jules Marey 在1894年的高速摄影也为该研究提供了重要证据。Ars Technica 🏷#cats#falling#feline#spines#physics 📢频道👥群组📝投稿