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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Made a World Action Model at home

    A developer trained a world action model on the Lunar Lander game, utilizing a novel approach that does not involve reinforcement learning. This project demonstrates an alternative method for creating models capable of understanding and acting within complex environments. AI

    Made a World Action Model at home

    IMPACT Demonstrates an alternative to reinforcement learning for training AI models, potentially opening new avenues for agent development.