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

  1. RE: https:// mstdn.ca/@teledyn/116652708401 285794 "every single warning that paper made about large language models has now happened at scale" 1. The hallucina

    A recent discussion highlights that all warnings previously issued about large language models have now materialized at scale. These issues include significant hallucination problems, amplification of biases, substantial environmental costs, and a lack of documentation regarding the massive training datasets used, which are too large for effective auditing. AI

    IMPACT Confirms that previously identified risks in LLMs are now widespread and significant.