三名被解雇的 OpenAI 安全研究员称从未被告知自己究竟泄露了什么
Three fired OpenAI safety researchers say they were never told what they actually leaked
- 1三名被解雇的 OpenAI 安全研究员对华尔街日报否认泄露机密,称从未书面被告知违规内容。
- 2OpenAI 指三人涉嫌向外部研究员透露内部模型架构,其手机中发现阅后即焚的 Signal 聊天。
- 3三人曾联名论文呼吁保留思维链访问;The Information 此前报道 Astra 推理步骤外露更少。
- 4METR 与 Redwood Research 审计发现 OpenAI 基础设施多处安全缺口,OpenAI 删减了近半报告。
解雇争议的实质是模型透明度主张与公司保密体系之间的冲突,外部安全监督在头部 AI 公司的处境正在变紧。
- 影响:三名研究员担心此案会吓退独立安全审计方,企业能获得的模型推理可见度与第三方评估可能减少;自研或应用团队与外部专家的沟通及敏感信息管理制度也需对照检视。
- 参考:可考虑在模型选型评估中加入推理过程可见度与厂商接受独立审计的记录;值得盘点自家 AI 团队与外部研究者的沟通渠道、保密协议和审批流程。
- 依据:研究员说法出自华尔街日报采访,OpenAI 否认解雇与安全顾虑有关,双方口径不一;安全缺口出自 METR 与 Redwood Research 审计报告,OpenAI 删减了近半内容。
The three OpenAI safety researchers who were fired over alleged leaks are telling their side of the story. Tomek Korbak, Mikita Balesni, and Jasmine Wang deny sharing confidential information, question the official reasoning behind their termination, and suspect a connection to their advocacy for more transparent AI systems.
OpenAI dismissed all three after an internal investigation into alleged violations of its policies on handling sensitive information. Each of them had spoken publicly about AI risks before being let go.
In interviews with the Wall Street Journal, the researchers now dispute that account. OpenAI told the Journal that the firings had nothing to do with safety concerns the researchers had raised. But the three say they were never told in writing which information they supposedly mishandled. They also worry the case could discourage independent safety auditors from working with AI companies altogether.
The Journal's reporting sheds light on what led to the confrontation. OpenAI's security team suspected the three of sharing details about the company's internal model architecture with an external safety researcher and asked them to unlock their personal phones. On those devices, the team found Signal chats with disappearing messages enabled. A week later, all three were fired at the same time. OpenAI said Signal was not an approved communication tool but insisted it was not the reason for the terminations. Korbak counters that disappearing messages are a routine security practice across Silicon Valley.
A dispute over monitoring AI reasoning steps
The dispute centers on a technical question with major consequences. Should AI companies let outsiders inspect how their models think? Reasoning models can record the intermediate steps of their problem-solving process on an internal scratchpad known as the chain of thought. Companies and safety researchers rely on these traces to understand how models arrive at their decisions.
In a 2025 paper, Balesni, Korbak, and Wang joined leading researchers from several AI labs in calling for continued access to this capability. The issue grew more urgent over the summer, when employees at AI companies began discussing models that think longer but write down fewer intermediate steps. Balesni pushed back internally by sharing a related proposal from Ryan Greenblatt, then chief scientist at Redwood Research.
Korbak, too, was in regular contact with Greenblatt. The two communicated over Slack and Signal while working together on the analysis of a high-profile incident—the attack by OpenAI agents on Hugging Face—for which Greenblatt had been hired by METR to conduct an independent investigation.
A news report about Astra kicked off the investigation
That cooperation became a liability after The Information reported on September 1 that OpenAI's new model Astra was more capable but revealed less of its reasoning process. OpenAI chief scientist Jakub Pachocki dismissed the report as muddled at the time on X, even though he himself had warned of an industry-wide race toward models that can no longer be monitored.
A few weeks later, OpenAI launched an internal leak investigation, according to the Journal. Balesni says investigators named Greenblatt as the suspected source and demanded to see the Signal chats with him. Greenblatt denies passing confidential information to journalists.
Wang faced a separate accusation: OpenAI said she had repeatedly accessed an executive's inbox. She says she had asked nearly a year earlier for that access to be revoked, accidentally opened a sensitive email the previous month, did not share its contents, and reported the incident right away. OpenAI says the access itself was not the issue.
The fallout extends well beyond the three of them, according to Korbak. Colleagues are now afraid to talk to outsiders or raise safety concerns internally, he says. In a letter to OpenAI's board, the three researchers call for closer cooperation with external safety organizations.
Separately, a recently published on-site audit raised its own questions about OpenAI's safety practices. Staff from METR and Redwood Research found numerous security gaps in OpenAI's infrastructure during the review, but OpenAI redacted nearly half the final report.
OpenAI also published its own report on a new security architecture that operates without internet access and said it fixed the issues and resumed training in early October. The company says it will announce several new external partnerships soon.
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