Perception versus Training in AI Art

Updated: 2026.10.06 2H ago 1 sources
Distinguish two kinds of machine art: outputs produced by statistical recombination of human works (training‑based) and outputs produced by embodied systems that perceive and respond to the environment (perception‑based). This distinction matters for how audiences, institutions, and laws assign authorship, value, and moral standing to creations labelled 'AI art.' — If perception‑based systems become common, debates about copyright, authenticity, and whether machines can 'create' will shift from technical details to broad cultural and legal reassessments.

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Paul Graham Versus the Pope
Alex Tabarrok 2026.10.06 100% relevant
The piece cites Pope Leo XIV asserting an ontological gap and Paul Graham arguing robots that learn from their own sensors will close that gap — the two positions exemplify the perception vs. training contrast.
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