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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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🦾#КороткойСтрокой • Гендиректор #Nvidia предсказал появление игр, целиком сгенерированных ИИ, менее чем через 10 лет. • В MIT придумали способ в 30 раз ускорить генерацию изображений с помощью нейросетей. • Глава #StabilityAI Эмад Мостак ушел в отставку. Он заявил, что займется децентрализованным ИИ. • По данным WABetaInfo, мессенджер WhatsApp работает над размещением #Meta AI в строке поиска.

The Digi Doodles

@Digi_doodles · Post #624 · 08/05/2025, 09:05 AM

Stability AI: Fair Pay for Artists?💐 Prem Akkaraju, CEO of Stability AI, has announced a game-changing commitment: Artists whose work is used to train generative AI models may soon receive compensation — similar to royalties on Spotify. Key points: — Focus on licensed training data — Plans for revenue-sharing models with creators — A move toward ethical and transparent AI development ✉️As debates rage over AI and authorship, Stability AI takes a step toward making tech fairer — and more artist-friendly. #AIArt#StabilityAI#CreativeRights#EthicalAI#ArtAndTech