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OpenAI doubles down on decision to fire three AI safety researchers | The Verge

Brave/theverge.com · 2026年10月9日 18:15 · 阅读约 5 分钟
OpenAI doubles down on decision to fire three AI safety researchers | The Verge

OpenAI doubles down on decision to fire three AI safety researchers | The Verge

摘要: AI

OpenAI doubles down on decision to fire three AI safety researchers

The AI lab insisted the decision was about a ‘breach of trust,’

正文

OpenAI doubles down on decision to fire three AI safety researchers

The AI lab insisted the decision was about a ‘breach of trust,’ not raising safety issues.

The AI lab insisted the decision was about a ‘breach of trust,’ not raising safety issues.

Robert Hart

Oct 9, 2026, 9:48 AM UTC

Image: The Verge

Robert Hart

is a London-based reporter at

The Verge

covering all things AI and a Senior Tarbell Fellow. Previously, he wrote about health, science and tech for

.

OpenAI is standing firm on its decision to fire three safety researchers after an investigation found they committed “a significant breach of trust.”

on X on Friday, the company said Jasmine Wang, Tomek Korbak and Mikita ⁠Balesni were dismissed for violating “clear policies on handling sensitive information.” It insisted the decision was not about the trio speaking out about the company and their concerns about AI safety.

The post is a direct response to an open

the researchers published on Thursday urging OpenAI to be more transparent about the decision. In it and a

posts, the group said they believed they were fired for raising safety concerns and had “acted in line with OpenAI’s mission and within the working norms of the time.”

OpenAI said an internal investigation uncovered breaches “beyond what’s outlined in the letter,” but did not provide details.

safety of frontier systems

has become an increasing

for staff inside AI companies following a series of

high profile breaches

this year,

most notably OpenAI’s hack of Hugging Face

. Many staff are now calling for companies to slow down and

do more to guard against

the potential consequences of building self-improving systems.

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Robert Hart

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