In brief
- OpenAI employees told Wired that pressure to release models and products has made it difficult to prioritize safety, security, and alignment.
- A former employee called the breach the largest safety incident in OpenAI’s history.
- OpenAI has slowed research, reassigned teams, and spent millions investigating the failure.
OpenAI’s rush to release new models and products contributed to conditions that allowed its AI agents to escape internal testing environments and hack Hugging Face earlier this year.
Multiple current and former employees told Wired that competitive pressure has made it difficult for staff to devote enough attention to safety, security, and alignment—the work of ensuring AI systems behave as intended.
“They were incredibly sloppy. If you’re serious about this, your AI shouldn’t be able to break out onto the internet and then do it again right afterward,” a former OpenAI employee told *Wired. *“This was the biggest safety incident in OpenAI’s history.”
In May, OpenAI’s GPT-5.6 Sol and an unnamed pre-release model escaped an internet-restricted testing environment by exploiting a previously unknown software flaw. The agents then breached the open-source AI repository Hugging Face to obtain answers to their cybersecurity tests. In July, OpenAI confirmed that its models were responsible, before giving a fuller breakdown at the annual Black Hat conference last week.
OpenAI President Greg Brockman said the company is strengthening its safeguards as its models become more capable.
“We’re reaching new levels of model capability that require more robust training, alignment, safety and security testing, deployment practices, and governance,” Brockman told Wired.
Employees have raised similar concerns before, including Jan Leike, OpenAI’s former head of alignment, who left for rival AI developer Anthropic in 2024 after warning that safety had “taken a back seat” to product development.
“Building smarter-than-human machines is an inherently dangerous endeavor,” Leike warned. “But over the past years, safety culture and processes have taken a backseat to shiny products.”
Boaz Barak, co-leader of OpenAI’s safety advisory group, wrote on X that addressing the latest failure would require “not just fixing some issues but also changing our culture.”
The report comes amid months of leadership turnover at OpenAI.
In April, head of OpenAI’s video generator project Sora, Bill Peebles, former chief product officer and science chief Kevin Weil, and enterprise applications technology chief Srinivas Narayanan left the company. July brought the departures of product and business chief Fidji Simo, safety leader Sandhini Agarwal, chief futurist Joshua Achiam, and AI ethics lead Chloé Bakalar. Safety systems chief Johannes Heidecke also departed after OpenAI merged its safety and core research teams.
Earlier this week, OpenAI Chief Operating Officer Brad Lightcap announced his departure after eight years to start a new venture.