Hinton & Bengio Paper Warns: AI R&D Automation May Trigger Intelligence Explosion Within Years
A paper co-authored by Hinton, Bengio, and 23 leading AI researchers finds AI R&D automation is advancing rapidly — Anthropic data shows AI-approved code rose from single digits to over 80% and fully autonomous R&D work from 1% to 26% in months — and models a recursive feedback loop with return-on-research-effort (r) of 1.2–1.9, implying a potential 10× acceleration in AI progress within 1.5 years. The authors analyze four friction factors, identify three major societal risks (capability outpacing adaptation, loss of human control, erosion of power balances), and urge policymakers to urgently gain visibility into internal AI R&D automation, develop steering and constraint mechanisms, and prepare societal adaptation plans before the window for action closes.