Frontier models over-parameterize when giving modeling advice, ignoring parsimony
Jabaluck · x · 2026-10-17
The author observes that current frontier models nearly always err toward massive overfitting when asked for modeling advice: if a coefficient varies by age, they'll immediately suggest replacing 1 parameter with 11, with no sense of the value of parsimony. Replies joke it's like computer scientists writing an economic model, and that the CS crowd keeps asking why you don't just use an ABM.
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