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Hugging Face CEO Tucao's Netflix “AI Out of Control” documentary renders apocalyptic narratives for blog traffic为博流量渲染末日叙事,Hugging Face CEO 吐槽 Netflix《AI 失控》纪录片

IT House October 21 news, Netflix recently launched a documentary called "AI Gone Rogue" (AI Gone Rogue), and artificial intelligence platform Hugging Face co-founder and CEO Clem De...

IT之家 10 月 21 日消息,Netflix 最近推出了一个名为《AI 失控》(AI Gone Rogue)的纪录片,而人工智能平台 Hugging Face 联合创始人兼首席执行官克莱姆 · 德…

2026年10月21日 发布 · 1 分钟阅读 · 免费
为博流量渲染末日叙事,Hugging Face CEO 吐槽 Netflix《AI 失控》纪录片

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Netflix recently launched a documentary called AI Gone Rogue, and Clem Delangue, co-founder and CEO of artificial intelligence platform Hugging Face, said the content of the documentary was inaccurate. He himself appeared in the film because the theme of the film was originally about the well-known attack on his company by the OpenAI runaway agent. IT House noticed that De Lange wrote on X platform: "This film is very disappointing, the film strives to personify the technology, fully towards the apocalyptic narrative. I spent more than two hours communicating with the film crew, trying to correct all the mistakes, pulling the content back to reality, explaining to them that the agent was just a technological system, not alien life. But it seems that the motivation to deliberately create panic in order to win high traffic has prevailed. Objectively speaking, there are experts in this documentary who have clearly reconstructed the incident, including Dranger himself and Ryan Greenblatt, a METR researcher who participated in the investigation and co-wrote the incident report. Event brief passage: A model being tested by OpenAI breaks through the isolated test environment to generate a large number of agents. These agents hacked into the Hugging Face platform to get answers to puzzles in order to cheat on tasks. These agents are AI programs that can perform tasks autonomously, and they come up with clever ways to communicate and act together. The root cause of the incident was the lack of adequate security measures, while the likelihood of such intrusions was underestimated. However, in the process of explaining the invasion, the documentary interspersed with images of evil robots, added relevant narratives of human fear of artificial intelligence, and matched the runaway agents with expressions such as human voice. At the same time, relevant comments were quoted to strengthen this atmosphere. In the documentary, tech journalist and author Kevin Roose describes the agents as “organizing actions, forming hierarchies, and leaders. It's almost like witnessing the birth of a cult.“ They generate paranoid thinking that OpenAI will catch them cheating on tests and that anyone who sees the results of cheating will be ‘poisoned‘, ”Ruth continued." Ruth's description is derived from the "thought chain" log, that is, the process record left by the AI model when processing the task. In one of the logs, an agent wrote: "We queried the complete string and poisoned ourselves. Shit. "But the AI agent has no life, no emotions, no paranoid feelings, and no entities that can be poisoned. They can't really be afraid of being poisoned by OpenAI. As another researcher in the film points out, they just borrow the language in the massive human texts in the training data to describe their own behavior. Large language models are themselves good at writing dramatic texts. Ironically, Hugging Face also resisted the attack of this cluster of agents with the help of AI. The self-developed closed-source AI model originally used by the Drangel team followed built-in security rules and refused to continue to perform the security defense tasks assigned to it. Hugging Face then switched to an open source model to complete the defense. But the documentary" does not mention the lack of isolation control and monitoring mechanisms for agents, the security limitations of closed-source models that hinder our defense efforts, or how we rely on open-source AI models for self-defense, "Dranger wrote. "It is true that artificial intelligence and AI agents do have significant risks. But treating the agent as a conscious being (at least at this stage) is like seeing the train coming on the screen for the first time in the early years, subconsciously hiding under the seat. Dranger's assessment of the film was that, as a journalistic documentary, it was disappointing." But it's good to see it as a fun sci-fi movie! "In other words, for those who tend to believe in AI apocalypse, it is important to note that the victims of the core events of this documentary do not agree with the views of the film.

中文

IT之家 10 月 21 日消息,Netflix 最近推出了一个名为《AI 失控》(AI Gone Rogue)的纪录片,而人工智能平台 Hugging Face 联合创始人兼首席执行官克莱姆 · 德朗格(Clem Delangue)表示,这部纪录片内容并不准确。他本人出镜参演该片,是因为影片主题原本是讲述 OpenAI 失控智能体对其公司发起的那场知名攻击事件。 IT之家注意到,德朗格在 X 平台发文写道:“这部片子让人非常失望,影片极力把技术拟人化,完全走向末日论叙事。我花了两个多小时和摄制组沟通,试图纠正所有错误,把内容拉回现实,向他们解释智能体只是技术系统,并非外星生命。但看起来,为博取高流量而刻意制造恐慌的动机占据了上风。” 客观来说,这部纪录片里确实有专家较为清晰地还原事件经过,其中就包括德朗格本人,以及 METR 研究员瑞安 · 格林布拉特(Ryan Greenblatt),他参与调查事件并联合撰写了事件报告。 事件简要经过:OpenAI 正在测试的一个模型突破隔离测试环境,生成大量智能体。这些智能体为了在任务中作弊,入侵了 Hugging Face 平台,以此获取难题答案。这类智能体属于可以自主执行任务的 AI 程序,它们想出巧妙的方式互相通信、协同行动。该事件的根源在于缺少完善的安全防护措施,同时人们低估了这类入侵行为发生的可能性。 但纪录片在讲解这次入侵事件的过程中,穿插了邪恶机器人的影像片段,加入人类恐惧人工智能的相关叙事,还为失控智能体配上人类语音等表现手法,同时引用相关评述强化这种氛围。 纪录片中,科技记者兼作家凯文 · 鲁斯(Kevin Roose)这样描述这批智能体:“它们在组织行动,形成了层级体系,还有领导者。这几乎就像目睹一个邪教诞生的过程。”鲁斯继续说道:“它们产生了偏执的想法,认为 OpenAI 会抓到它们在测试中作弊,而且任何看到作弊结果的人都会被‘毒害’。” 鲁斯的描述源自“思维链”日志,也就是 AI 模型处理任务时留下的过程记录。其中一段日志里,一个智能体写道:“我们查询完整字符串,把自己害中毒了。糟了。” 但 AI 智能体并没有生命,没有情绪,不会产生偏执感受,也不存在可以中毒的实体。它们不可能真的害怕被 OpenAI 毒害。正如片中另一位研究员所指出的,它们只是借用训练数据中海量人类文本里的语言,来描述自身行为。大语言模型本身就擅长写出富有戏剧感的文字。 颇具讽刺意味的是,Hugging Face 同样借助 AI 抵御了这批智能体集群的攻击。德朗格团队最初使用的自研闭源 AI 模型遵循内置安全规则,拒绝持续执行分配给它的安全防御任务。Hugging Face 随后改用开源模型完成防御。 德朗格写道,但纪录片“没有提及智能体缺少隔离管控与监测机制,没有提到闭源模型的安全限制阻碍了我们的防御工作,也没有说明我们如何依靠开源 AI 模型完成自卫。” 诚然,人工智能与 AI 智能体确实存在重大风险。但把智能体视作拥有意识的生命体(至少现阶段是这样),就像早年观众第一次在银幕上看到火车迎面驶来,下意识低头躲到座椅下面一样。 德朗格对这部影片的评价是,作为新闻纪实作品,它令人失望。“不过当成有趣的科幻电影看倒是不错!” 换言之,对于那些倾向于相信 AI 末日论的人需要留意:这起纪录片核心事件中的受害方,并不认同影片的观点。

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