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Morning Edition · Friday, October 2, 2026Published at 2:31 AM EDT · New York
OpenAI Fires Three Safety Researchers Over Alleged Leak to an Outside Safety Group
The dismissals land three days after OpenAI's president signed a White House accord promising internal verification teams and external audits of frontier models, with no enforcement attached.
OpenAI has terminated three members of its safety team after an internal investigation concluded they shared confidential company information with an outside AI-safety organization, first reported by The Wall Street Journal and since confirmed in part by the company. An OpenAI spokesperson said the company "parted ways with three individuals for violating our policies on accessing and handling sensitive company information," and that the investigation found the individuals "mishandled sensitive information outside established company procedures," according to Decrypt and Gizmodo.
What is verified is narrow. OpenAI has not named the three people, the organization that received the material, or what the material contained. Separate reporting noted the near-simultaneous departures of researchers Jasmine Wang, Mikita Balesni and Tomek Korbak, and neither OpenAI nor the researchers have said whether those exits are connected to the investigation.
The timing matters because of what OpenAI committed to days earlier. On September 29, OpenAI president Greg Brockman joined the chief executives of Google, Anthropic, Meta, Nvidia and xAI in signing a voluntary safety accord with President Donald Trump, structured around four layers: internal controls, internal verification teams, external audits and independent board oversight. Trump called it morally binding. No regulator enforces it, and it carries no penalties and no deadlines.
Veracity: Corroborated
90/100- If true, who benefits
OpenAI gains control over what safety staff may hand to outside evaluators, while critics of self-regulation gain a concrete case that voluntary audit pledges do not protect the people who feed external auditors.
Part of a tracked trend
Oversight and Evaluation Lag Accelerating AI Capabilities
Over the next 3-6 months, evidence mounts that governance, evaluation, and agent-safety methods are failing to keep pace with capability growth, driving investment in interpretability, agent-manipulation benchmarks, and institutional-reform proposals.
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