Reddit debate: is overfitting killing LLM creativity?
Expensive-Paint-9490 · reddit · 2026-10-15
A Reddit user argues GPT-2-era models felt more creative: today's models are fitted so hard on huge datasets that they excel at in-distribution prediction (especially code) but can't generalize to genuine creativity. They ask whether a creative model should be trained on a huge dataset but fitted less — a last-gen recipe deliberately "undercooked" — trading coding ability for creative writing, and invite discussion of epochs, learning rates, and other knobs.
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