John Ellis talks with AI researcher Alan D. Thompson about the rapid advance of artificial intelligence and the prospect of artificial superintelligence. Thompson explains his methods for tracking progress toward AGI, the growth of trillion-parameter models, and the narrowing gap between leading American and Chinese systems. They discuss the enormous capital investment in data centers, the economics of AI infrastructure, and the sectors most likely to be transformed first, including healthcare and mental health. The conversation also covers job displacement, the difficulty of managing the economic transition, the emergence of autonomous humanoid robots, and the possibility that increasingly capable systems could reshape governance and social institutions. Thompson argues that continued scaling remains the central force driving AI progress and that the next advances may arrive faster than expected.
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Hosted by John Ellis
Produced by Dale Eisinger
