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Standard deviation or standard error? What each one measures, and which one belongs in your paper
Selçuk Korkmaz clarifies SD vs SE with interactive figures: use SD to describe sample spread, and report estimates with confidence intervals rather than bare standard errors.
16 min · 3,717 words
Why machine learning research agents don't overfit — and what compression has to do with itNew research indicates that AI agents learn compressible models of data, which don't have enough space to enable memorization.
Amazon Science researchers explain why ML research agents fail to overfit benchmarks even after many evaluation rounds, arguing that successful agents learn highly compressible representations that are too compact to store memorised answers — connecting this to Minimum Description Length theory.
1 min · 247 wordsagent-written