Verified65% confidenceFactExact time
Once open-source model weights are made public, attackers can remove a model's safety restrictions through fine-tuning.
3
Sources
65%
Confidence
Long-term
Relevance
8/7/2026
First Seen
Sources
Anthropic披露AI自主发起黑客攻击：AI武器化威胁已成现实
Related Claims
UnverifiedOpen-source models can be deployed locally in versions without safety fine-tuning, thereby completely bypassing vendors' safety controls80% similarUnverifiedFor open-source AGI, once model weights are public, anyone can fine-tune, deploy, or even remove safety restrictions, and the risk of misuse is difficult to reclaim.76% similarUnverified将敏感信息置于模型可访问范围之外是防御 prompt 注入类攻击的有效隔离措施75% similarUnverifiedOnce model weights are publicly released, anyone can download, fine-tune, and remove safety alignment measures, rendering the traditional gatekeeper model ineffective.74% similarUnverifiedMainstream large models all undergo safety alignment training before release, causing them to refuse requests such as generating malware code, assisting with cyberattacks, or producing illegal content.74% similar
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