Powerful A.I. is coming. We’re not ready. – The New York Times
Maybe A.I. progress will hit a bottleneck we weren’t expecting — an energy shortage that prevents A.I. companies from building bigger data centers, or limited access to the powerful chips used to train A.I. models. Maybe today’s model architectures and training techniques can’t take us all the way to A.G.I., and more breakthroughs are needed. But even if A.G.I. arrives a decade later than I expect — in 2036, rather than 2026 — I believe we should start preparing for it now.
Most of the advice I’ve heard for how institutions should prepare for A.G.I. boils down to things we should be doing anyway: modernizing our energy infrastructure, hardening our cybersecurity defenses, speeding up the approval pipeline for A.I.-designed drugs, writing regulations to prevent the most serious A.I. harms, teaching A.I. literacy in schools and prioritizing social and emotional development over soon-to-be-obsolete technical skills. These are all sensible ideas, with or without A.G.I.
