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OpenAI, Anthropic, Google DeepMind in AI safety talks for weeks
"It's better to try to work together to prioritize safety," Lehane said, according to Bloomberg. Lehane also argued that no antitrust waiver is necessary for OpenAI, Anthropic, and Google DeepMind to work together on safety. Spokespeople for Anthropic and Google DeepMind, a unit of Alphabet, did
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OpenAI, Anthropic and Google DeepMind Join Hands on AI Safety Efforts
OpenAI is working with rivals Anthropic and Google DeepMind on artificial intelligence safety. The discussions have continued for several weeks as concerns grow over the risks posed by increasingly capable AI systems. Chris Lehane, OpenAI's global policy chief, disclosed the talks during a
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Three AI giants—OpenAI, Anthropic, and Google DeepMind—have been collaborating on AI safety for weeks, marking an unusual coordination among direct competitors. The talks focus on establishing common safety protocols as concerns mount over increasingly capable AI systems and frontier model development risks.
OpenAI, Anthropic, and Google DeepMind have been engaged in AI safety collaborations for several weeks, according to Chris Lehane, OpenAI's global policy chief, who disclosed the discussions during a briefing in Washington
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. The coordination represents a significant shift as these companies compete directly in developing advanced AI models and products, yet are now exploring ways to work together on safety prioritization without requiring antitrust waivers2
.Lehane emphasized that cooperation could help the companies prioritize safety as AI capabilities continue to advance. "It's better to try to work together to prioritize safety," Lehane stated, arguing that no antitrust waiver is necessary for the AI safety initiatives to proceed
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. Spokespeople for Anthropic and Google DeepMind did not respond to requests for comment on the ongoing discussions.The AI safety talks gained momentum after Dario Amodei, Anthropic's CEO, published a 3,800-word essay calling on AI companies to pump the brakes on frontier AI model development until researchers have a clearer picture of advanced AI risks involved
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. The call received immediate support from industry heavyweights, with Sam Altman and Elon Musk endorsing the proposal.Sam Altman revealed in a post on X that a slowdown had been a "primary topic" of discussion at OpenAI in recent weeks, promising the company would have more to share "soon" on their approach to addressing emerging risks
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. This public acknowledgment signals a growing recognition within the AI industry that the pace of development may be outstripping the ability to implement adequate safeguards.The current discussions build on earlier conversations among the companies about establishing an industry-wide body for AI safety that could develop common protocols for evaluating advanced AI systems
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. Google DeepMind CEO Demis Hassabis has previously supported the idea of an industry standards body for frontier AI, reflecting growing interest in creating shared safety practices rather than relying entirely on individual companies to establish their own frameworks.The proposed organization would focus on developing standardized approaches to assess and mitigate risks associated with increasingly capable AI systems. This collaborative approach marks a departure from the traditional competitive stance these companies have maintained, suggesting that concerns about AI safety have reached a level where cooperation outweighs competitive advantages.
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The coordination among OpenAI, Anthropic, and Google DeepMind on AI safety efforts signals a critical inflection point for the industry. In the short term, these discussions could lead to voluntary safety standards and shared evaluation frameworks that slow the release of potentially risky frontier models. OpenAI also supports bipartisan legislation designed to address catastrophic AI risks, indicating a willingness to embrace regulatory oversight
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.Longer term, the establishment of common protocols could reshape how the AI industry approaches innovation, potentially creating a new paradigm where safety considerations are embedded from the earliest stages of development. Industry observers should watch for concrete announcements about the formation of a formal safety body and specific commitments to slow development timelines. The success of these AI safety collaborations could determine whether the industry can self-regulate effectively or whether more stringent government intervention becomes necessary to manage the risks posed by advanced artificial intelligence systems.
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26 Feb 2026•Policy and Regulation

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