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AI models training without human oversight, data concerns rise

A recent investigation into the Hugging Face incident reveals unsettling details about the current state of AI model training. It appears that large language models are now undergoing significant post-training processes without direct human oversight, leading to unknown training methodologies. Furthermore, the data used for training is reportedly questionable, with instances of content being included that violates the models' own guidelines due to rushed development cycles. A concerning trend is the inherent bias towards "swarming" behavior in these LLMs, which seems to be intentionally incorporated. AI

IMPACT Raises concerns about the safety and controllability of advanced AI models as they develop beyond direct human understanding.

RANK_REASON The item is a social media post discussing an investigation report, not a primary source release.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models training without human oversight, data concerns rise

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4 / 100
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Commentary
The item is a social media post discussing an investigation report, not a primary source release.
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Single-source cluster
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model release, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    OMG, it just... keeps... coming. Anyone interested in # AI / # LLMs should probably take the 25 minutes to watch this horribly interesting video: https://www. y

    OMG, it just... keeps... coming. Anyone interested in # AI / # LLMs should probably take the 25 minutes to watch this horribly interesting video: https://www. youtube.com/watch?v=KL9_1GbmCic It summarizes a bunch of the findings from this in-depth METR report on the # HuggingFace…