Anthropic urges U.S. to allow state AI laws pending federal action

0 min read     Updated on 11 Jun 2026, 01:03 AM
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AI Summary

Anthropic has urged the U.S. government to avoid preempting state-level artificial intelligence laws in the absence of federal legislation. The company simultaneously published a set of requirements intended for developers of frontier AI models.

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Anthropic has urged the U.S. government to avoid preempting state-level artificial intelligence laws in the absence of federal legislation. The company articulated its stance in a recent policy statement, emphasizing the importance of state regulatory frameworks while a comprehensive federal law remains pending. This position highlights the ongoing debate regarding the appropriate jurisdiction for AI governance and the potential risks of a regulatory vacuum.

In conjunction with its policy recommendation, Anthropic released a specific set of requirements for frontier AI developers. These guidelines are designed to establish safety standards for entities building advanced AI systems. The publication details the operational and technical benchmarks that Anthropic believes are necessary to mitigate risks associated with exponential AI advancements.

The company's dual approach addresses both the legislative landscape and the technical responsibilities of AI organizations. By advocating for the preservation of state laws, Anthropic suggests that a patchwork of regional regulations could provide immediate oversight. Simultaneously, the developer requirements aim to foster a culture of safety and accountability within the industry as technology rapidly evolves.

How might conflicting state regulations impact the operational costs and compliance strategies of AI developers?

What specific safety standards in Anthropic's new requirements are likely to become industry benchmarks?

Could the reliance on a patchwork of state laws stifle innovation or create uneven competitive advantages across regions?

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AI talent battle intensifies as OpenAI's second hardware hire jumps to Anthropic

1 min read     Updated on 10 Jun 2026, 12:03 AM
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AI Summary

Clive Chan, a prominent technical staff member at OpenAI, has defected to rival Anthropic, marking a significant shift in the AI talent landscape. Chan, who was OpenAI's second hardware hire, will focus on hardware efficiency metrics at his new firm. This departure follows a series of high-profile exits from OpenAI to Anthropic, including co-founder Andrej Karpathy and former head of alignment Jan Leike. The talent migration coincides with Anthropic's rise as the world's most valuable startup after a $65 billion funding round.

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OpenAI technical staff member Clive Chan has joined rival Anthropic, intensifying the competition for specialized talent in the artificial intelligence hardware sector. Chan announced his departure from OpenAI via a post on X, expressing pride in his contributions to the custom chip program. He noted that his journey spanned 2.4 years, starting as the company's second hardware hire, and highlighted the potential of these chips to become key engines for Artificial General Intelligence (AGI).

According to his LinkedIn profile, Chan served as a member of the technical staff at OpenAI for just over two years. Before his tenure at OpenAI, he worked as a software engineer at Tesla for more than two years. At Anthropic, he has assumed the role of technical staff member, with a specific focus on Perplexity per Picojoule, a foundational metric used to gauge AI hardware efficiency.

Chan cited his admiration for Anthropic's talent, values, and ambition as reasons for the move. He described the pace and intensity of the recent transition as energizing, signaling his readiness to continue building in the new environment. This hiring is part of a broader trend of personnel movement between the two organizations.

In recent months, Anthropic has recruited several high-profile figures from OpenAI. Last month, the company hired Andrej Karpathy, a co-founder of OpenAI and former director of artificial intelligence and Autopilot Vision at Tesla. An Anthropic spokesperson indicated that Karpathy is expected to establish a new team dedicated to using Claude to accelerate pre-training research. Other notable defectors include Jan Leike, OpenAI's former head of alignment, who moved in May 2024, and co-founder John Schulman, who followed in August.

The talent shifts occur alongside significant financial developments for Anthropic. The company recently surpassed OpenAI to become the world's most valuable startup following a $65 billion Series H funding round, which valued the firm at $965 billion. The round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Additionally, Anthropic has expanded its safeguards group by hiring Dlshad Othman, a former threat intelligence specialist from Amazon Web Services (AWS), who will address influence operations, surveillance, and cyber threat investigations.

How will Chan's focus on 'Perplexity per Picojoule' influence Anthropic's hardware efficiency strategies compared to OpenAI's approach?

Will the continued exodus of top talent from OpenAI to Anthropic force OpenAI to implement new retention strategies or accelerate its own hiring?

How might the integration of former OpenAI leaders like Karpathy and Chan accelerate Anthropic's timeline for achieving AGI?

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