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The Myth of unsafe Open Source AI

florianbrand.com · 1,146 words · saved by 1 readers

Thoughts about open and closed AI

The Myth of unsafe Open Source AI The Myth of unsafe Open Source AI Researchers, often working at closed labs, argue that open models are inherently unsafe because you cannot control them after their release, and because they can be fine-tuned for any malicious use case. While this argument is theoretically true, it also assumes that closed models are safer, that their guardrails work, and that their providers take measures against misuse. Therefore, I went ahead and researched the misuse of both open and closed models and compiled a list. For this, I looked into third-party reports examining

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