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

  1. How can we prevent AI models from cannibalizing themselves when human-generated data runs out? Scientists say they've found the answer. Via @live_science #AI #A

    Researchers are exploring methods to prevent AI models from degrading due to a lack of high-quality human-generated data. One proposed solution involves using AI-generated data to train future models, a technique that could sustain AI development even as human data becomes scarce. This approach aims to ensure continued progress in AI capabilities by creating a self-sustaining data loop. AI

    IMPACT Proposes a method to sustain AI development by using AI-generated data, potentially overcoming future data limitations.