Intelligence is proportional to data: reorder tasks by data volume and the jagged frontier becomes a spiral
sebkrier · x · 2026-10-16
awiltschko argues the "jagged frontier" of AI capability is really a function of data availability: models are near-superintelligent on data-rich tasks (math, coding, games) and weak on data-scarce ones (cooking lasagna, olfaction, manufacturing trains), with no known exceptions. Reordering tasks by data volume turns the jagged frontier into a smooth spiral, implying task intelligence scales with data absorbed. He distinguishes static data lakes from closed-loop simulators that convert compute into data, illustrated with a radar-chart schematic.
Related event: AI's Jagged Capability Frontier Reframed as a Function of Data Volume(2 posts)→
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