Opinion: Broken scaling laws result from ignoring output fidelity
gerardsans · x · 2026-08-20
Gerard Sans comments on a paper regarding broken scaling laws in scientific AI. He argues that focusing only on scanner internal loss is insufficient, as "objects have tiered structure, scanners have finite kernels, and compression is lossy." Without closing the loop from object to output fidelity, relying on a single loss metric hides structural mis-captures.
Related event: Study: Data Scaling in Scientific AI Is Not Always Smooth(2 posts)→
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