Hugging Face CEO提出一个务实的AI安全路线：别只靠事后护栏，要加强独立评估、分阶段发布和开源生态。
Hugging Face CEO Clement Delangue认为，事后API护栏无法消除模型的危险能力，只能隐藏在脆弱的接口后面，容易被越狱（jailbroken）。他建议不要训练高风险能力，除非有强评估、理由和遏制措施；采用分阶段发布（staged release），从可信测试者到更广泛访问，并开放发布以透明和问责。他呼吁大力支持开源AI，缩小封闭实验室和政府之间的能力差距；推动独立评估，而非信任黑盒API；赋予执法、法院、监管者、审计员、记者和公民社会强大的AI工具来检测和追究非法使用。
Let’s face it: after-the-fact API guardrails are not the right safety tool for frontier models. The...
Let’s face it: after-the-fact API guardrails are not the right safety tool for frontier models. They don’t make dangerous capabilities disappear. They just hide them behind a brittle interface that can be easily jailbroken. A better safety agenda: - don’t train models for very high-risk capabilities without strong evals, justification, and containment - use staged release, as pioneered by @IreneSolaiman , from trusted testers to broader access, and open release for transparency and accountability - massively support open-source AI so the gap between players does not become so large that a few closed labs and governments end up with overwhelming capabilities and power over everyone else - enable independent evaluation instead of asking everyone to trust a black-box API - give law enforcement, courts, regulators, auditors, journalists, and civil society strong AI tools to detect, investigate, and hold accountable unlawful uses of AI Safety means transparency, staged deployment, distributed power, and making sure democratic institutions can actually enforce the law. 💬 4 🔄 1 ❤️ 23 👀 1431 📊 6 ⚡