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OpenAI calls for global body to slow AI development when risks outpace safeguards

OpenAI and Anthropic are calling for a global body to monitor advanced AI and slow frontier research when risks outpace safeguards. Both companies have also filed confidential IPO registration statements with the SEC.

OpenAI and Anthropic Push for Global AI Oversight

OpenAI is calling for governments to establish a global body that monitors advanced AI development and can slow or pause frontier research when risks exceed available safeguards. The company outlined the proposal in a blog post authored by CEO Sam Altman and chief scientist Jakub Pachocki.

"One goal of such an organization should be to make it possible for the world to take coordinated action, including slowing frontier development when needed, so societal resilience, safety, and alignment can keep pace," OpenAI said.

Anthropic made a similar argument last week, stating that a worldwide pause on frontier AI development could be beneficial if governments could actually enforce it.

AI Systems Training AI Systems

Both companies identified a specific inflection point: AI systems doing AI research themselves. OpenAI said this capability will likely become "the determining factor of the pace of progress within the next few years."

OpenAI plans to have "a significant fraction" of its research conducted by AI systems working alongside human researchers by March 2028. The company has set building an "automated AI researcher" as a major internal objective.

For IT and development professionals, this shift matters. When AI systems accelerate their own development, the pace of change in tools and frameworks you work with could accelerate unpredictably.

IPO Filings Signal Market Shift

Both OpenAI and Anthropic have submitted confidential draft registration statements to the SEC, signaling plans to go public. Neither company has announced a timeline for its IPO.

The filings represent a convergence of AI companies entering public markets simultaneously-a test of investor appetite for long-term, high-risk bets on generative AI and LLM development.

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