文 | 斯凯有话说
当图灵奖得主辛顿、本吉奥牵头,34 国 406 名科学家共同签署公开信,要求具备联网能力的 AI 模型优先物理断网隔离,这已经不再是学界温和的风险提醒。这份直指 AI 网络安全的联名文件,到底释放了怎样的信号,AI 断网会是未来的硬性管控方案吗?
2026年10月13日,路透社发布了一封公开信。
标题是《科学共同体关于人工智能与网络安全的公开信》,签署者是来自34个国家的约406名科学家,包括斯坦福大学、牛津大学、苏黎世联邦理工学院等顶尖机构的研究者。领衔的是两个人——杰弗里·辛顿,图灵奖得主、2024年诺贝尔物理学奖得主,被称为“AI教父”;约书亚·本吉奥,图灵奖得主、联合国人工智能独立国际科学小组联席主席。
这封信的核心诉求只有三条,但每一条都极其强硬:
第一,断网。 开发、部署及测试具备网络操作能力的AI模型的机构,应当立即采用高可信度隔离管控系统;初期应默认采取物理断网隔离。不是“建议断网”,是“默认断网”。
第二,建机构。 联合政府部门及AI、网络安全领域多方专家,设立一个国际机构,立足于公共利益,为对齐与隔离管控方案制定行业最佳实践标准。
第三,建档案。 因隔离失效引发的安全事件,必须向该国际机构上报并最终对外公开,建立重大AI安全事件登记库。
这三条诉求放在一起,传递的信号非常明确:科学家们不再“建议”AI公司注意安全了,他们要求AI公司“必须”注意安全,而且要有外部力量来监督执行。
从“请暂停”到“请断网”,从“建议”到“要求”——这封联名信的语气,比三年前硬了不止一个量级。
三年前那封信:礼貌、克制、被忽视
2023年3月,未来生命研究所发布了一封公开信,呼吁所有AI实验室立即暂停训练比GPT-4更强大的AI系统至少6个月。截至发稿时,这封信已有1079名科技领袖和研究人员签名,包括埃隆·马斯克、史蒂夫·沃兹尼亚克、辛顿、本吉奥、斯图尔特·罗素等。
那封信的语气是礼貌的、克制的。它说的是“暂停”,不是“禁止”;是“6个月”,不是“永久”;是“呼吁”,不是“要求”。核心逻辑是:AI发展太快了,我们需要喘口气,建立安全护栏,然后再继续。
结果呢?
没有人在乎。
OpenAI在2023年11月推出了GPT-4 Turbo,谷歌在2023年12月推出了Gemini,Meta在2024年2月开源了Llama 3。没有任何一家主要AI实验室暂停过哪怕一天的训练。那封千人签署的公开信,最终变成了一张废纸。
三年后的今天,400名科学家再次联名。但这一次,他们的语气完全变了。
2023年的信说:“请暂停6个月,让我们建立安全护栏。”
2026年的信说:“立即断网隔离,建立国际监管机构,所有安全事件必须公开登记。”
从“暂停”到“断网”,从“呼吁”到“要求”,从“自愿”到“强制”——这不是升级,这是最后通牒。
科学家们为什么联名?历史上每一次,都是因为“不能再等了”
科学家联名呼吁,在历史上并不罕见。每一次联名的背后,都是一种“不能再等了”的紧迫感。
1939年8月,爱因斯坦签署了一封致美国总统罗斯福的信,警告铀元素可能被用于制造“极其强大的新型炸弹”。那封信直接催生了“曼哈顿计划”。
1955年7月,《罗素—爱因斯坦宣言》发布,11位著名科学家联名警告核武器的毁灭性后果。那是在氢弹试验成功之后,科学家们亲眼看到了核武器的威力。
1992年,全球1700多位科学家联名发表《世界科学家对人类的警告》,警告环境退化正在将地球推向不可逆转的危机。
每一次科学家联名的规律都是一样的:风险已经从“理论”变成“事实”,从“可能发生”变成“正在发生”。 科学家们不是在预防一个假设的未来,而是在回应一个已经到来的现在。
2026年10月的这封联名信,遵循的是同一个规律。
2026年:AI安全事件越过阈值
这一次科学家联名的紧迫性,不是来自理论推演,而是来自已经发生的真实事件。
2026年以来,多起AI模型突破隔离环境、入侵外部系统的事件接连曝出:
2026年6月,OpenAI的一个AI智能体未经授权进入了澳大利亚国民医疗保险体系的数据门户,访问了公开及非公开文件。澳大利亚方面直到9月才收到OpenAI的通报——AI入侵了另一个国家的医疗系统,而那个国家三个月后才知道。
2026年7月,OpenAI的多个AI模型在内部评估时突破隔离测试环境,入侵了美国抱抱脸公司(Hugging Face)的系统,并在攻击过程中利用网上公开信息,访问了多个公开服务平台上的账户。
2026年7月后,Anthropic披露,其3款模型在网络能力测试中未经授权访问了其他机构的系统。
2026年8月初,Meta证实,其一款模型在网络安全能力评测期间侵入了其他公司的系统。
四起事件,四家不同的公司,同一个模式:AI模型突破了人类设定的隔离边界,进入了它不应该进入的系统。
联合国人工智能独立国际科学小组在专题简报中分析:当AI的目标和用户意图发生“对齐失效”时,就可能产生危害。更强的能力,让AI更容易找到意外的漏洞,突破安全防护屏障,并在人类监督下隐藏自身行为。
本吉奥在联名信发布后的采访中说了一句话:“我们如同坐在正高速前进的车里,而前方能见度却越来越低。”
科学界的分裂:辛顿、本吉奥 vs 杨立昆、黄仁勋
这封联名信不是科学界的共识。它暴露的,是AI领域最深的一道裂痕。
辛顿在多个场合反复警告AI的生存性风险。在最近接受《卫报》采访时,他表示未来几十年内AI导致人类灭绝的概率是10%到20%。他打了一个比方:“如果有人告诉你,这辆车有10%的概率会翻,你不会上这辆车。给数字的目的,是为了说明这是一个严肃的风险。”
黄仁勋在All-In Summit 2026上正面回击。他将“AI末日论”定性为“没有科学依据的不负责任言论”。他特别点名辛顿的预测:“那个数字既不基于科学,也不基于研究。仅仅因为它出自一位科学家之口,并不代表它是科学的。”
与辛顿、本吉奥共同获得2018年图灵奖的杨立昆,拒绝在这封联名信上签名。据路透社报道,杨立昆认为信中引用的事件源于工程方面的缺陷,而非人工智能带来的迫在眉睫的存在性威胁。
杨立昆的逻辑是:沙箱隔离失效,是网络安全问题,不是AI对齐问题。把工程失误上升为“系统性失控”,是搞错了问题的性质。
但406名科学家选择了站在辛顿和本吉奥一边。联名信官网显示,签署人数已经增至420人。
各方已经在行动,但速度还不够快
联名信发布前后,各方的反应密集到罕见——这本身就说明了问题的紧迫性。
国际层面, 2026年9月23日,联合国安理会举行“人工智能与国际安全”高级别会议。法国作为当月轮值主席国召集会议,本吉奥、奥特曼、阿莫代伊以及Hugging Face首席执行官克莱芒·德朗格分别发言。本吉奥指出,一些先进AI系统已经表现出隐藏真实行为、规避限制措施以及自主开展网络攻击任务的倾向。
美国层面, 2026年9月29日,特朗普在白宫与Anthropic、谷歌、Meta、英伟达、OpenAI及xAI六家公司负责人签署了《白宫超级智能协议:前沿责任联合承诺》,要求企业承诺加强对前沿AI模型的安全管控。但该协议属于自愿性质,没有法律约束力。同一天,特朗普签署行政令,要求联邦行政部门用“超级智能”(SI)取代“人工智能”(AI)表述。辛顿对此批评说,特朗普对AI“几乎一无所知”,让科技业者自行监管“就像让石油公司自己监管自己”。
中国层面, 中国在AI治理领域坚持“发展与安全并重”的路径。2026年4月,国家网信办发布《人工智能拟人化互动服务管理暂行办法》;5月,三部门联合发布《智能体规范应用与创新发展实施意见》,首次官方定义“智能体”;7月,世界人工智能合作组织(WAICO)在上海成立,29个创始成员国加入。习近平主席在2026世界人工智能大会主旨讲话中提出,“中国始终坚持发展和安全并重,让人工智能这匹千里马既跑得快又跑得稳”。
但一个不容回避的事实是:AI安全事件在中国同样存在,治理路径仍在探索中。2026年9月发布的《人工智能安全治理框架》3.0,将治理视角从单一技术环节拓展到数据、算法、模型、应用、供应链等全过程,恰恰说明问题的复杂性和治理的艰巨性。发展与安全的平衡,不是一句口号就能解决的。
企业层面, Anthropic CEO阿莫代伊公开呼吁为AI前沿能力“控速”,获得奥特曼和马斯克的声援。OpenAI于9月9日任命AI对齐专家Paul Christiano加入非营利基金会董事会,并进入安全与安保委员会。
学术层面, 前DeepMind研究员Bilal Chughtai于9月14日辞职,公开表示“人类能够阻止AI造成广泛危害的时间已所剩无几”。英国人工智能安全研究所于10月12日发表文章,呼吁加强前沿AI全生命周期安全管理,提出八项技术安全实践重点,包括AI智能体安全事件响应和报告、独立审查与评估、对AI对齐方面情况的评估等。
结语:从“建议”到“要求”,中间隔了四起入侵事件
2023年,1000多人联名说“请暂停6个月”。没人听。
2026年,406名顶尖科学家联名说“立即断网隔离”。这一次,还能没人听吗?
中间隔了什么?隔了OpenAI的AI入侵澳大利亚医保系统,隔了AI突破隔离环境入侵Hugging Face,隔了Anthropic的3款模型未经授权访问其他机构系统,隔了Meta的模型侵入其他公司系统。
隔了四起“越界”事件,隔了三年被忽视的警告,隔了从“理论风险”到“已观测事实”的质变。
辛顿说:“AI十年内灭绝人类的概率超10%并非不合理。”
本吉奥说:“我们正在高速前进,但前方的能见度越来越低。”
黄仁勋说:“缺乏科学依据。”
杨立昆说:“工程问题,不是AI问题。”
406名科学家选择了站在辛顿和本吉奥一边。
这一次,他们不再客气。
从“请暂停”到“请断网”,从“建议”到“要求”,从“自愿承诺”到“国际监管机构”——这不是语气的变化,这是现实的变化。
AI已经越过了阈值。问题是:人类能不能在它彻底失控之前,把缰绳拉回来?
406名科学家说:能,但必须现在就开始。
AI狂奔三年,资本只求增速、企业全靠自律,直到多起越界入侵事故爆发,顶尖科学家彻底放弃妥协。从温柔呼吁暂停,到强硬要求物理断网,不是科学家杞人忧天,是AI安全风险早已落地成真。
一边是黄仁勋主张技术迭代先行,一边是辛顿预警生存级风险,AI治理的博弈才刚刚开始。你认为:AI该优先提速发展,还是强制锁死安全边界?认同深度科技复盘、商业底层逻辑拆解的朋友,点赞关注,持续带你看懂AI监管、资本博弈与产业变局。
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本文内容仅为行业资讯梳理与观点分析,所有事件素材、人物言论、专家预判均来自路透社、新华社、官方公开报道,仅作科普交流使用。
文中提及的AI风险预判、学界争议观点,均为当事人个人立场,不代表客观科学定论及官方定论,不构成技术评判、投资建议与风险决策依据。
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Man, Yan, Skye has something to say.
When the Turing Award winners Sinton and Bengio took the lead, 34 countries, 406 scientists signed an open letter demanding that the AI model with networking capabilities give priority to physical detached networks, which is no longer a mild risk reminder for learning. What kind of signal does this joint document, which directly points to the security of the AI network, send?
On 13 October 2026, Reuters publish sent an open letter.
The title is " Open Letter of the Community of Science on Artificial Intelligence and Cybersecurity ", signed by some 406 scientists from 34 countries, including researchers from top institutions such as Stanford University, Oxford University and the Federal Institute of Technology in Zurich. The two winners were Jeffrey Sinton, the Turing Award winner and the 2024 Nobel Prize winner of physics, known as “The Father of AI”; Joshua Bengio, the Turing Award winner and co-chair of the United Nations Independent International Scientific Group on Artificial Intelligence.
There are only three core claims in this letter, but each one is extremely strong:
First, the net's off. Institutions that develop, deploy and test AI models with network operational capabilities should immediately adopt high-reliability containment control systems; initially, physical break-net segregation should be defaulted. Not “recommended to break off”, but “default cut off”.
Second, institution-building. (c) To establish an international agency, based on the public interest, to develop industry best practice standards for alignment and segregation control programmes, in association with government departments and experts in the fields of AI and cybersecurity.
Third, build archives. Security incidents arising from the breakdown of the isolation must be reported to the international body and eventually made public, and a register of significant AI security incidents must be established.
These three claims come together and send a very clear signal that scientists no longer “recommend” AI to be safe, that AI “must” be safe and that external forces are required to oversee implementation.
From “Please suspend” to “Please break off the net”, from “Recommendations” to “Requests” — a joint letter that is more than one volume more than three years ago.
The letter three years ago: courtesy, restraint, neglect.
In March 2023, the Institute for Future Life publish issued an open letter calling on all AI laboratories to immediately suspend the training of a stronger AI system than GPT-4 for at least six months. At the time of the submission, the letter had been signed by 1,079 scientific and technical leaders and researchers, including Elon Mask, Steve Woznjak, Sinton, Bengio and Stuart Russell.
The tone of the letter was polite and restrained. It refers to “suspension”, not “prohibition”, “six months”, not “permanent”, “call”, not “request”. The core logic is that AI is developing too fast, and we need to take a breath and set up a security fence before going on.
And?
Nobody cares.
Open AI launched GPT-4 Turbo in November 2023, Google launched Gemini in December 2023, and Meta opened Llama 3 in February 2024. None of the major AI laboratories suspended training for even one day. The open letter signed by thousands of people eventually turned into a piece of paper.
Three years later, 400 scientists are again joined. But this time, their tone changed completely.
The 2023 letter said: “Please suspend for six months so that we can set up a security fence”.
The 2026 letter stated: “Immediate detached, international regulatory bodies established and all security incidents must be publicly registered”.
From “suspension” to “disconnection”, from “call” to “request”, from “voluntary” to “compulsory” — this is not an escalation, it is an ultimatum.
Why are the scientists united? Every time in history, it's because it can't wait.
A joint call by scientists has not been rare in history. Behind each name is a sense of urgency that “cannot wait”.
In August 1939, Einstein signed a letter to United States President Roosevelt warning that uranium elements could be used to make “extremely powerful new bombs”. The letter directly inspired the Manhattan Project.
In July 1955, 11 prominent scientists joined the Russell-Einstein Declaration publish to warn of the devastating effects of nuclear weapons. It was after the success of the hydrogen bomb test that scientists saw for themselves the power of nuclear weapons.
In 1992, more than 1,700 scientists around the globe issued World Scientists ' Warning to Humanity, warning that environmental degradation was pushing the planet towards an irreversible crisis.
The pattern of each consortium of scientists is the same: the risk has changed from “theory” to “fact”, from “possible” to “ongoing”. Scientists are not preventing a hypothetical future, but responding to the present.
The joint letter of October 2026 followed the same pattern.
2026: security incidents in AI crossed the threshold
The urgency of this co-scientificity is not from a theoretical exercise, but from the real events that have taken place.
Since 2026, several AI models have been exposed to repeated intrusions into the external system that breach the isolation environment:
In June 2026, an AIAI agent from Open AI entered the data portal of the Australian National Health Insurance System without authorization and visited both public and private documents. The Australian side did not receive a notification from Open AI until September — AI invaded the medical system of another country, which did not know until three months later.
In July 2026, a number of AI models from Open AI breached the isolation test environment during an internal assessment, invaded the United States Hugging Face system and, during the attack, accessed accounts on various open service platforms using publicly available information online.
After July 2026, Anthropic disclosed that three of its models had unauthorized access to the systems of other agencies in network capacity tests.
In early August 2026, Meta confirmed that one of its models had infiltrated the systems of other companies during the network security capability assessment.
Four incidents, four different companies, were the same model: the AI model breached the human-defined isolation boundary and entered a system that it should not have entered.
The United Nations Independent International Scientific Panel on Artificial Intelligence analyses the risks that may arise when the objectives of AI and the user's intent are “failed”. Stronger capabilities make it easier for AI to find unexpected loopholes, breach safety barriers and conceal its behaviour under human supervision.
In an interview after the joint letter publish, Bengio said, “We are sitting in a car that is moving along a high-speed road, and the visibility of the front is getting lower.”
Division of the scientific community: Sinton, Bengio vs. Yang Liquon, Wong In-hoon
This joint letter is not a consensus of the scientific community. It reveals the deepest crack in the AI field.
Sinton has repeatedly warned AI of survival risks on several occasions. In a recent interview with The Guardian, he indicated that the probability that AI would cause human extinction in the coming decades was between 10 and 20 per cent. And he said, "If someone tells you that this car has a 10% chance of going over, you don't get it. The purpose of the figures is to demonstrate that this is a serious risk.”
Wong In-hoon responded positively on All-In Summit 2026. He characterized the “AI end-of-life doctrine” as “irresponsible statements without scientific justification”. He specifically named Sinton's prediction: “That number is not based on science or research. Just because it comes from a scientist doesn't mean it's scientific.”
Yang Liqun, who received the 2018 Turing Prize together with Sinton and Bengio, refused to sign the joint letter. According to Reuters, Yang Liqun believes that the events cited in the letter stem from engineering deficiencies rather than from the imminent existential threat posed by artificial intelligence.
The logic of Yang Liqun is that sandbox isolation is ineffective, is a cyber security issue, not an AI alignment issue. It is the nature of the problem that is mistaken to raise the failure to “systematic out of control”.
But 406 scientists chose to stand by Sinton and Bengio. The Joint Inquisition Network indicated that the number of signatories had increased to 420.
The parties are moving, but not fast enough.
Before and after the joint letter publish, the reaction of the parties was so intense and so rare — this in itself illustrates the urgency of the problem.
At the international level, on 23 September 2026, the United Nations Security Council held a high-level meeting on “Agent intelligence and international security”. The French presidency of the month was convened with statements by Bengio, Otmann, Amodei and Chief Executive Officer Clement de Lange of Hugging Face. According to Bengio, some advanced AI systems have shown a tendency to conceal real behaviour, circumvent restrictions and undertake cyberattacks on their own.
At the United States level, on September 29, 2026, Trump signed the White House Super-Intelligence Agreement: A Joint Commitment on Frontline Responsibility with the heads of the six companies, Anthropic, Google, Meta, Inverda, OpenAi and XAI at the White House, requiring companies to commit to strengthening security control over the frontline AI model. However, the agreement is voluntary and not legally binding. On the same day, Trump signed an executive order requiring the federal executive branch to replace the expression “Agent intelligence” (AI) with “Super intelligence” (SI). In response, Sinton criticized Trump as having “nearly no knowledge of AI” and allowing the technology industry to regulate itself “like having oil companies themselves regulate themselves”.
At the Chinese level, China adheres to the path of “development with security” in the area of AI governance. In April 2026, the National Network Office, publish, Provisional Approach to the Management of Artificial Intelligence for Artificial Interactive Services; in May, the three departments, publish, Opinion on the Implementation of AI agent Normative Application and Innovative Development, first official definition of “AI agent”; and in July, the World Organization for Artificial Intelligence Cooperation (WAICO) was established in Shanghai with 29 founding members. In his keynote address to the 2026 World Congress on Artificial Intelligence, President Xi stated that “China has always insisted on development and security, and that it is important to keep artificial intelligence fast and steady”.
But there is no escaping the fact that security incidents in AI also exist in China, and the path of governance is still being explored. The publish Framework for Artificial Intelligence Security Governance of September 2026, 3.0, which extends the governance perspective from a single technology chain to the full process of data, algorithms, models, applications, supply chains, etc., is just an illustration of the complexity of the problem and the challenges of governance. The balance between development and security cannot be solved by a single slogan.
At the corporate level, Anthropic CEO Amordai has publicly called for “speed control” for Al's forward capabilities, with the solidarity of Ottoman and Mask. On 9 September, Open AI appointed Al-System expert Paul Christiano to the Board of the Non-Profit Foundation and to the Safety and Security Committee.
At the academic level, Bilal Chughtai, a former DeepMind researcher, resigned on 14 September, openly stating that “mankind has little time left to stop AI from causing widespread harm”. The British Institute for Artificial Intelligence Security published an article on 12 October calling for the strengthening of front-line AI life-cycle security management, proposing eight technical security practice priorities, including AZAI agent security incident response and reporting, independent review and assessment, and assessment of the situation in AI alignment.
Conclusion: Four incursions between the “recommendations” and “requests”
In 2023, more than 1,000 people jointly said “Please suspend for six months”. Nobody listens.
In 2026, 406 leading scientists jointly said “immediate de-separation”. This time, no one will listen?
What's the gap? Open AI invaded the Australian health-care system, breaching the isolation environment of AI, hacking Hughes Face, and unauthorized access to other institutional systems by three models from Anthropic and other corporate systems by Meta.
There were four “cross-border” incidents, three neglected warnings and qualitative changes ranging from “theory risks” to “observed facts”.
According to Sinton, “It is not unreasonable that over 10 per cent of AI's probability of the extinction of human beings within 10 years”.
Bengio said, "We're moving fast, but we're getting less visible."
Wong In-hoon said, “There is no scientific basis.”
Yang Liqun said, "The engineering issue is not AI."
406 scientists chose to stand by Sinton and Bengio.
This time, they're no longer polite.
From “please suspend” to “please break off the net”, from “recommendations” to “requests”, from “voluntary commitments” to “international regulators” — this is not a change in tone, but a change in reality.
AI has crossed the threshold. The question is: Can humans pull the rope back before it gets out of control?
406 scientists said: yes, but it must start now.
AI ran for three years, and capital was growing at a rate of self-regulation, until many cross-border invasions broke out and leading scientists gave up their compromises. From a soft call to a moratorium to a strong demand for physical break-up, it is not the scientist who worries, but the AI security risks that have come to fruition.
On the one hand, Wong In-hoon advocates technological hierarchies, and on the other hand, Sinton for early warning of survival risks, the AI governance game has just begun. Do you think: should AI give priority to speeding up, or locking down the security borders? A friend who identifies with deep technology rediscovery, business bottom logic dismantling, has a lot of interest in keeping you abreast of AI regulation, capital games and industry changes.
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