Senior research leaders from OpenAI, Anthropic, Meta Platforms and Microsoft are urging policymakers to examine how far companies have progressed in automating AI research, according to a report cited by Odaily and attributed to The Wall Street Journal. In a paper released on Monday, the researchers said automation in AI research could trigger an "intelligence explosion," compressing advances that once took years into months or even less. They warned that such a pace could push technological development beyond human understanding. The paper was signed in the authors' personal capacities and called for urgent transparency requirements so policymakers can assess the current state of automation in model development across companies. Named authors include OpenAI chief scientist Jakub Pachocki, Anthropic co-founder Jack Clark, Microsoft chief scientific officer Eric Horvitz, and Meta vice president of AI research Dawn Song.
Research leaders from OpenAI, Anthropic, Meta Platforms and Microsoft are calling on policymakers to review how far their companies have advanced in automating AI research, echoing broader industry calls for tighter oversight of AI technology.
In a paper released on Monday, researchers including OpenAI Chief Scientist Jakub Pachocki, Anthropic co-founder Jack Clark, Microsoft Chief Scientific Officer Eric Horvitz, and Meta Vice President of AI Research Dawn Song wrote that automation in AI research could lead to an "intelligence explosion."
The paper warns about the pace of automated AI development
According to the paper, that trajectory could compress progress that would normally take years into months or even less, pushing the speed of technological development beyond human understanding.
Writing in their personal capacities, the authors said policymakers should urgently require greater transparency to determine how far companies have already gone in automating model development.
The report was cited from The Wall Street Journal.
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