Over 20 leading AI researchers jointly warn of intelligence explosion risk
Academics and OpenAI's own research lead co-sign one warning paper; policy visibility into AI R&D automation is what to watch next.
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Automating AI R&D could trigger an "intelligence explosion" within years, compressing years of progress into months — the joint warning of more than 20 AI researchers, signed by deep-learning pioneers Geoffrey Hinton and Yoshua Bengio plus OpenAI research lead Jakub Pachocki.
Until now such risks mostly surfaced in scattered discussion, without formal co-signing by academics and insiders from frontier labs, and policymakers had limited visibility into how much AI research is being automated.
The paper says AI systems already write most of the code at the companies building them and could automate the entire AI R&D pipeline within years; the authors self-report this as a warning, not a new measurement, give no timeline for a trigger, acknowledge much uncertainty remains, and urge policymakers to gain far more visibility into how AI research is being automated.
The warning carries no measurement benchmark and has no third-party replication yet.