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Dwarkesh Patel44 min

I thought superintelligence was a decade away. Not anymore.

Interview, Lecture, Other

Speaker predictions estimate a 2028 median timeline for AI to match human researchers, driven by internal metrics showing rapid adoption at Anthropic and OpenAI. This automation is expected to unlock exponential gains through threefold execution speed, increased work volume, and thousands of parallel agents, potentially enabling breakthroughs in chip design and superconductor discovery by 2030. Consequently, the speaker argues that verifiable empirical proxies will overcome objections regarding research taste and real-world transfer, allowing AI to master complex domains within years rather than decades.