HuggingFace CEO:开源AI比限制更安全

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精选理由

开源与安全的争论从未停止——Delangue 用历史案例和比喻直击核心,做AI政策研究或开源项目的团队值得一看,能帮你理解反对限制的论据。

AI 摘要

HuggingFace CEO Clement Delangue 在采访中反驳了开源AI风险论,认为限制AI反而会增加风险。他以GPT-2和Mythos为例,指出当初被警告危险的模型最终并未造成灾难。他强调,在网络安全领域,少数玩家垄断能力才是最大风险,开源能让防御者更快反应。他用“有人会打人,所以绑住所有人的手”的比喻批评限制AI的逻辑。Delangue 警告,限制会拖慢进步、扩大能力差距,并制造新的风险。

原文 · Clement Delangue

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Good catch @theojaffee 😂 Your browser does not support the video tag. 🔗 View on Twitter MTS @MTSlive We asked the CEO of HuggingFace @ClementDelangue what the risks of releasing powerful open source models are. He says restricting AI creates more risk than openness. "Six, seven years ago, at the time it was GPT-2, and there was already a lot of people saying that it was too dangerous to release in open source." "Mythos, when it was announced was crazy dangerous... In a few weeks or a few months, everyone is gonna be using Mythos, and not destroy the world as a result." "For cybersecurity, the biggest risk is that a few players have capabilities that other people don't have... If you make it more open, it's usually easier for defenders to react and make the whole system safer." "The idea of restricting a technology like AI based on risks is like saying, 'Some people can punch other people, so let's tie down everybody's hands.'" "Otherwise you slow down progress, you create massive gaps in terms of controls, in terms of capabilities, and you create actually additional risks." Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 6 🔄 4 ❤️ 51 👀 11119 📊 9 ⚡