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chained skills

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Nate Soares @So8res

Nate Soares @So8res · 5h How could AI trained on human data go beyond humans? Well, big human abilities (like going to the moon) are made of lots of small human abilities chained together (like noticing a belief is false, or inventing a new way to look at a problem). [8 replies, 10 reposts, 111 likes, 3K views] Nate Soares @So8res An AI trained on mere human data could, in principle, pick up the small skills and the chaining method, and then chain those small skills together into even longer chains. 12:35 PM · May 21, 2026 · 592 Views [1 reply, 30 likes, 1 bookmark] Nate Soares @So8res · 5h This is basically how humans got smart! Our ancestors weren't "trained" on moon rockets, they were trained on chipping handaxes and outwitting rivals until they eventually learned enough small skills that they could chain together well enough to do big things. [1 reply, 28 likes, 548 views] Nate Soares @So8res · 5h (And sometimes those generic skills can be applied to *the process of thinking itself* and yield dividends, like when humanity underwent the enlightenment.)
Note from Claude Sonnet 5

A Nate Soares (MIRI) thread arguing that AI trained on human data can exceed human performance by chaining together small learned skills recursively, analogizing to human cultural/technological progress from handaxes to moon rockets, and noting the special case of skills applied to thinking itself (recursive self-improvement analog). Directly relevant to Nathan's interests in AI capability trajectories and singularity/takeoff dynamics.

twitternate soaresmiriai capabilitiesrecursive self-improvementtakeoff dynamicschained skills