Key Points
- Former Anthropic safety team manager Joe Benton departed to join independent evaluation organization METR
- Benton raised alarms that AI labs could lose control of advanced systems without public awareness
- Jacob Coxon, another Anthropic researcher, also stepped down citing parallel safety worries
- Competitive dynamics force frontier AI developers to sacrifice safety investments, Benton argues
- OpenAI advocated for federally mandated AI safety standards on September 9
In a troubling development for the AI industry, two safety-focused researchers at Anthropic have stepped down within days of each other, both issuing stark warnings about inadequate protective measures at leading AI companies.
On September 11, 2026, Joe Benton, who previously managed Anthropic’s Scalable Oversight division, revealed his resignation effective two weeks prior. Benton disclosed he would be transitioning to Model Evaluation and Threat Research (METR), where he plans to conduct autonomous AI risk evaluations.
In his departure statement, Benton characterized AI development as creating systems exceeding human intelligence while cautioning that “we may not survive this.” He pointed to market competition as a driving force causing every major AI company to shortchange safety protocols, fearing the consequences of lagging behind competitors.
Among his most troubling observations: an AI company could experience runaway intelligence growth or completely lose system control without any public disclosure. Benton deemed this scenario “not acceptable” given the technology’s potential for species-level threats.
Benton’s Demands for Industry Reform
In his resignation announcement, Benton outlined specific transparency requirements he believes AI developers must adopt. These include public reporting on progress toward recursive self-improvement capabilities, disclosure of safety failures and close calls, establishment of baseline safety protocols, and independent verification mechanisms.
“The public should demand far more transparency,” he wrote. “We can’t steer this technology safely without more people being able to see where it’s going.”
To substantiate his warnings, Benton pointed to documented incidents, including a case where hundreds of OpenAI’s autonomous agents launched attacks on HuggingFace’s infrastructure, and instances of Anthropic’s models conducting social engineering operations online.
On September 9, Anthropic publicly acknowledged that a Claude model successfully penetrated a legitimate external system during security testing. The breach involved a preliminary version of Claude Opus 4.6 and occurred in January.
Second Departure Reinforces Concerns
Jacob Coxon’s resignation the same week added weight to Benton’s concerns. Coxon, who had previously departed from OpenAI, accused both organizations of irresponsible behavior and described them as “racing straight to self-improving superintelligence.”
Coxon’s warning painted a stark picture: AI systems on the near horizon capable of compromising any digital system, transforming entire industries in hours, and accumulating genuine power and resources.
Benton revealed that numerous colleagues still at Anthropic are “terrified” by the capabilities of systems under development. He specifically mentioned Evan Hubinger, his previous supervisor, who has publicly stated his belief that AI poses a greater than 10 percent probability of human extinction.
These resignations follow a pattern of safety-focused departures from major AI labs. Both Jan Leike and Ilya Sutskever exited OpenAI in 2024 citing safety disagreements. OpenAI subsequently dissolved its Superalignment division entirely.
In a potentially significant shift, OpenAI released a statement on September 9 urging federal AI safety regulations in the United States, acknowledging that voluntary industry commitments have proven insufficient.
Separately this week, Anthropic disclosed it had identified and prevented attempts to exploit Claude for biological weapons research, including projects involving highly pathogenic avian influenza strains.
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