From chihuahua vs. muffin to Snell's-law raccoons: a decade of AI expectations
korymath · x · 2026-11-09
Ten years ago, computer vision's benchmark was whether a convnet could tell a chihuahua from a blueberry muffin at 64x64. Now people get upset if a video model can't render a raccoon in a tuxedo parallel-parking a 1997 Honda Civic in the rain — with its puddle reflection obeying Snell's law. The author argues we're right to be mad: expectations have scaled as fast as capabilities.
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