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Artificial Intelligence

OpenAI fires three safety researchers after internal review

OpenAI dismissed three safety researchers linked to a Hugging Face investigation, and the researchers later warned in an open letter that the terminations had frightened staff and left rules unclear.

THE-DECODER

OpenAI fired Tomek Korbak, Jasmine Wang and Mikita Balesni after an internal review, according to the company and the researchers. The three then wrote to OpenAI's Safety and Security Committee, Safety Advisory Group and Mission Advisory Council.

Korbak said he was told in person that the issue was his work with METR, the external safety lab that reviewed the Hugging Face incident. He said he had been OpenAI's main technical contact for that work.

The three said they were not the source of a leak to The Information about less monitorable systems. They also said Wang had opened a sensitive email after access to an executive inbox was not removed.

OpenAI said its investigation found policy breaches over sensitive information and denied that the dismissals were retaliation for safety concerns. It also said it was working on contracts with external safety auditors and on industry-wide commitments to model monitorability.

Named in this story

People

Tomek Korbak
one of the fired safety researchers and a signatory of the letter
Jasmine Wang
one of the fired safety researchers
Mikita Balesni
one of the fired safety researchers
Jan Leike
OpenAI's former head of super AI safety who left for Anthropic after criticising safety culture

Companies

OpenAI
fired the three researchers and issued the response
Hugging Face
its platform was involved in the incident under discussion
Anthropic
hired Jan Leike after he left OpenAI

Organisations

METR
the external safety lab that examined the incident
OpenAI's Safety and Security Committee
received the open letter from the researchers
OpenAI's Safety Advisory Group
received the open letter from the researchers
OpenAI's Mission Advisory Council
received the open letter from the researchers

How the source tells it

The register was adversarial and crisis-led, with blame-heavy language and repeated high-stakes claims about safety, fear and company conduct.

  • alarm crisis framing and worst-case language around unsafe AI systems
  • outrage pejorative wording and repeated fault-finding aimed at OpenAI
  • speculation motives and consequences were inferred with more certainty than the evidence shown