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AI guardrails questioned as distilled models gain dangerous information

The effectiveness and purpose of guardrails on AI models are being questioned, particularly in relation to distilled or plagiarized models. A key concern raised is how these supposedly less-safe models acquire dangerous information if guardrails are indeed crucial for frontier models. This has led to speculation that guardrails might be an attempt at gatekeeping rather than a genuine safety measure. AI

IMPACT Raises questions about the true purpose and effectiveness of safety measures in AI development.

RANK_REASON The item is an opinion piece questioning the efficacy and intent of AI guardrails.

Read on Mastodon — fosstodon.org →

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AI guardrails questioned as distilled models gain dangerous information

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    If guardrails are so important for frontier models, and the supposedly plagiarised/distilled models are dangerous due to a lack of guardrails, how did they get

    If guardrails are so important for frontier models, and the supposedly plagiarised/distilled models are dangerous due to a lack of guardrails, how did they get all this dangerous information? Are guardrails just a desperate attempt at gatekeeping, perchance? 🤔 # AI