Artificial Superintelligence (ASI) is an AGI that can recursively improve itself — in both capability and power efficiency — making itself infinitely smarter and more compact over time. Aravind Srinivas calls this 'the last project in AI': once recursive self-improvement is cracked, there is literally nothing else left to build in the field.
Where this was said
At 2:31:40 · chapter starts 2:28:20
The episode closes on its most speculative and philosophically rich terrain: what happens after AGI? Srinivas introduces the concept of ASI (Artificial Superintelligence) — not just AGI but an AGI that can recursively redesign itself, improving both its intelligence and its power efficiency in an unbounded loop. He calls this the 'last project in AI': once recursive self-improvement is cracked, the field as a discipline is essentially complete. In practice, he expects the messy real world to buffer this: information is fragmented across legacy systems, and tasking an ASI to 'reduce inflation by 5%' or 'fix healthcare' requires navigating compliance, politics, and institutional inertia that pure intelligence cannot easily circumvent. Human beings remain necessary to effect change in systems built by and for humans.
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