Unverified50% confidenceFactExact time
In this model, non-labor evaluation spend grows about 13-fold from pilot to production ($404 to $5293), while the test set grows only 4-fold.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedWhen budget and timeline calculations were delegated to an external reliable process rather than inferred by the model itself, accuracy improved by as much as 42 percentage points on weaker models and only 2 to 5 percentage points on stronger models.67% similarUnverifiedIn the test set, the deployment cost of a medium-sized model was 4 times that of a certain smaller model, but application performance improved by only about 2%.67% similarUnverifiedIn 7 of the 12 model × task combinations, high only changed the price while accuracy stayed the same, with the cost per correct answer rising by 1.5 to 3.4 times.64% similarUnverifiedIn tests on four manipulation task families, CoDA raised the out-of-distribution (OOD) success rate from 5.3% after supervised fine-tuning to 27.6%, exceeding the strongest closed-loop baseline by 9.5 percentage points under the same generation budget.63% similarUnverifiedOn the arithmetic control task, all models' accuracy stayed the same but the cost per correct answer rose by 1.65 to 2.5 times.63% similar
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