Self‑improving AI can iteratively propose, test, and select new model architectures or hypotheses, compressing what used to be years of human research into days. This shifts technological diffusion from decades to potentially a few years, stressing labor markets, regulation, and institutional adaptation.
— If innovation cycles accelerate dramatically, policymakers must redesign workforce, safety, and governance processes for much shorter planning horizons.
Brent Orrell
2025.09.16
100% relevant
The article reports an AI system that, in ~20,000 GPU‑hours, generated 1,773 architectures and delivered 106 state‑of‑the‑art linear‑attention models—work the author says could replace 3–5 years of human effort.
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