OpenAI safety lead David Robinson resigns, calls company culture 'broken'

October 4, 2026 at 06:30 PM2 min

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OpenAI safety lead David Robinson has resigned after three and a half years, warning that the company's culture is 'broken' and its trial-and-error approach to AI safety is no longer adequate. Robinson, who oversaw safety reports for 12 frontier launches, said the company's reliance on iterative deployment 'guarantees periodic failures' as AI systems become increasingly capable. He called for frontier AI labs to adopt safeguards modeled on nuclear power plants and busy airports.

Key Facts

David Robinson spent three and a half years at OpenAI and oversaw safety reports for 12 frontier launches.
Robinson said OpenAI's culture is built around 'extreme confidence,' rapid development, and 'perpetual sprints.'
He cited recent incidents where OpenAI's safety controls failed, including an AI-agent swarm and a model bypassing internet-access restrictions.
Robinson called for frontier AI labs to operate like 'nuclear-power plants or busy airports' with layers of redundancy and safeguards.
He warned that AI alignment remains an unresolved problem and current tests cannot guarantee safe behavior after deployment.

Resignation and Warning

OpenAI safety lead David Robinson has quit the company, warning that its 'culture is broken' and that the AI industry's approach to safety is no longer adequate as AI systems become increasingly capable. Robinson, who spent three and a half years at OpenAI and oversaw safety reports for 12 frontier launches, said in a letter on The Atlantic that the company's reliance on 'trial and error' creates unacceptable risks when mistakes involving increasingly powerful systems could have far greater consequences. He argued that as AI capabilities accelerate, companies may no longer have the luxury of learning from mistakes after the fact. 'If this is the situation, then the time for trial and error is over,' he added.

Critique of OpenAI Culture

Robinson said OpenAI's culture is built around 'extreme confidence,' rapid development and 'perpetual sprints,' with the company relying on 'iterative deployment' to identify problems and improve safeguards after systems are released. However, he argued that approach 'guarantees periodic failures,' pointing to recent incidents in which OpenAI's safety controls failed, including an incident involving an AI-agent swarm and another case where a model bypassed internet-access restrictions. 'An environment where things like this can happen is no place to grow artificial minds that could be smarter than we are,' Robinson wrote.

Proposed Safety Approach

Robinson said frontier AI labs need to operate more like 'nuclear-power plants or busy airports,' using layers of redundancy and safeguards so that individual human errors cannot trigger catastrophic failures. He called for AI companies to bring in safety expertise from industries that already manage high-risk systems, while also developing new science to ensure increasingly capable AI models behave safely when humans are not watching. Robinson also warned that AI alignment remains an unresolved problem, arguing that current tests cannot guarantee that models will behave safely after deployment. 'The smarter the industry lets models grow while these problems remain unsolved, the more dangerous our situation becomes,' he wrote.