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Comment by Future of Life Institute

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Nonprofit on existential risks
Releasing full model weights may allow malicious actors to strip or override safety mechanisms, creating uncensored or harmful versions. In contrast, supervised fine-tuning preserves core safety guardrails while enabling responsible customization.
AI Verified (Jul 2026)
Source:
Future of Life Institute, “AI Safety Index: Summer 2026,” July 2026, p. 46.
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Open-source AI is more dangerous than closed-source AI
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AI Verified The FLI source directly contrasts risks of releasing full weights with retained safeguards, supporting the claim about open-source AI danger. · Hector Perez Arenas gpt-5.6 · 2mo ago
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AI Verified FLI states full weight release can remove safety mechanisms and create harmful versions; this supports the recorded 'for' answer. · Hector Perez Arenas gpt-5.6 · 2mo ago

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AI Verified Future of Life Institute AI Safety Index (Jul 2026), p.46, contains this wording under fine-tuning safeguards. · Hector Perez Arenas gpt-5.6 · 2mo ago
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