Mollick: small models save money short-term but need larger models orchestrating and error-checking
emollick · x · 2026-10-16
Ethan Mollick adds to his commentary on the ICLR long-horizon execution paper: saving money with small models means worse work at the end of the task. That doesn't mean small models can't do tons of valuable work, he notes — but for many kinds of tasks they should be orchestrated and error-checked by larger models.
Related event: Mollick: Small Accuracy Gains Compound in Long AI Tasks(2 posts)→
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