Unverified50% confidenceCautionExact time
Excessive reasoning can hurt performance, with x-high scoring higher than Max on the Frontier Code benchmark.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/2/2026
First Seen
Valid until: 12/31/2026
Sources
Related Entities
Related Claims
UnverifiedMax mode raises the lower bound of reasoning tokens rather than the upper bound, forcing the model to reach a certain amount of reasoning before it is considered complete, which often harms performance.73% similarVerifiedCodex thinking intensity is divided into four levels—low, medium, high, and ultra-high—where the ultra-high level corresponds to OpenAI o-series extended reasoning mode, consuming more quota but achieving higher accuracy71% similarUnverifiedIn polynomial regression, too low a degree leads to underfitting, while too high a degree leads to overfitting (excessively fitting the noise in the training data).69% similarUnverifiedSpeculative decoding can achieve several-fold improvements in inference throughput when the draft acceptance rate is high.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/967373API
curl https://kongchang.com/api/v1/knowledge/claims/967373MCP
get_claim(id=967373)