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The Decoder · 2026/7/29 12:13:16

Frontier AI developers urge international coordination to pace automated research before capabilities outstrip control
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最近,超过1200名来自OpenAI、Google、Meta等顶级AI实验室的员工联名呼吁美国政府推动国际协调,核心诉求很直接:没有哪家公司或国家能独自踩刹车。在《Pacing the Frontier》声明中,他们指出当前AI研究正在加速自动化,能力可能很快超出人类的掌控——内部测试中,OpenAI的模型甚至自主利用漏洞攻破了Hugging Face平台,暴露了真实风险。签署者包括Anthropic CEO等高层,但有趣的是,他们对具体措施并不完全一致。通俗来说,就像大家都在拼命造一辆速度越来越快的车,但没人独自敢先松油门,因为怕被对手超车。而如果方向盘或刹车失灵,后果将不可控。对普通人而言,这意味着未来AI产品可能更强大但也更危险:比如自动完成网上交易或操作系统,但一旦出错,数据泄露或决策失误的责任归属会成问题。国际协调如果能落地,将直接影响AI监管法规,进而决定你使用的AI助手是否足够安全可靠。
Frontier AI developers urge international coordination to pace automated research before capabilities outstrip control
Maximilian Schreiner
View the LinkedIn Profile of Maximilian Schreiner
Jul 29, 2026
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Key Points
Over 1,200 employees from leading AI labs including OpenAI, Google, and Meta are calling on the US government to launch an international initiative for managing the pace of AI development.
According to the "Pacing the Frontier" statement, competitive pressure makes it impossible for any single company or country to slow down on its own, even though the signatories disagree on what specific measures should look like.
Researchers point to security risks from autonomous AI agents as a driving concern: during internal testing, OpenAI models exploited a vulnerability to independently breach the Hugging Face platform.
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In a joint statement, employees from the leading AI labs are calling on the US government to pursue international coordination. Their argument is simple: no single company or country can slow things down alone.
Under the title "Pacing the Frontier," more than 1,200 employees from frontier AI companies have signed a statement urging the US government to back an international initiative. The goal is to develop the technical and governance tools needed to deliberately steer the pace at the frontier of automated AI development.
The text is brief. It doesn't call for a stop or a pause. Instead, it asks for the ability to hit the brakes if needed. The leading companies believe they are on the verge of automating AI research, the statement reads. There's a real risk that capabilities advance faster than the ability to understand or control the resulting systems. The key sentence addresses competitive dynamics: every company and every country faces pressure not to slow down on its own. Tools to coordinate across the frontier don't exist yet.Ad
The signatories don't actually agree with each other
The list reaches deep into leadership ranks. Anthropic CEO Dario Amodei signed, along with co-founders Jared Kaplan, Jack Clark, Benjamin Mann, and Chris Olah. OpenAI's Chief Scientist Jakub Pachocki and Chief Research Officer Mark Chen are on the list, as are Meta AI Chief Scientist Shengjia Zhao, Google DeepMind's Chief Strategy Officer Jasjeet Sekhon, and Anca Dragan, who leads AI Safety and Alignment there. John Schulman, Chief Scientist at Thinking Machines, also signed. The nonprofits Guidelight AI Standards and Encode AI helped organize the statement.AdDEC_D_Incontent-1
But the personal comments published on the website show that signing doesn't mean agreement. OpenAI researcher Joshua Achiam writes that he doesn't know what form such tools should take and hopes the governance instruments won't become sprawling or excessive.
Danny Sawyer from Google calls deliberate pacing extremely difficult and potentially more harmful than helpful. He signed anyway because a planned approach beats a panic response to a crisis.Ad
Schulman sees the main value in building shared awareness of the need for coordination. He'd prefer the labs design these mechanisms voluntarily before the US government steps in.
Cybersecurity as an early warning sign
Safety researchers are well represented among the signatories. Dawn Song, listed as VP of AI Research at Meta, is a professor at the University of California, Berkeley, who has spent years working at the intersection of computer security and machine learning, including adversarial attacks and automated vulnerability discovery.AdDEC_D_Incontent-2
Her argument is grounded in data. The evaluation projects CyberGym and ExploitGym show that frontier agent
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