Opinion: Loss metric is a relic unfit for modern data scales
gerardsans · x · 2026-08-20
Gerard Sans argues that the loss function, designed for curated datasets, is a relic unfit for the current "throw it all against the wall" paradigm. It treats noise and distant clusters as equally important, causing gradient interference. He calls for new mathematical objects to track local structures and sample envelopes.
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