Unverified50% confidenceFactExact time
Even with temperature set to zero, verdicts still flip between identical replicates; on difficult tasks, swapping the positions of two candidate answers can reverse most verdicts.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
Unverified"Temperature 0" is not equivalent to "a unique result": batch scheduling, floating-point nondeterminism, mixture-of-experts routing, quantization error, and provider backend redeployments can all cause the same input to produce different outputs.77% similarUnverifiedSetting the sampling temperature to 0 causes reasoning models to fall into a thinking loop and become stuck during the thinking phase.73% similarVerifiedEven when temperature is set to 0, some models still exhibit slight output fluctuations due to floating-point errors in parallel computation.72% similarVerifiedEven when the temperature is set to 0, some inference frameworks still have non-determinism in underlying floating-point computations, causing output differences across hardware and across batches.72% similarUnverifiedIn multi-turn autonomous tasks, numerical non-determinism is systematically amplified, so one should not blindly trust the reproducibility of temperature=0.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1034833API
curl https://kongchang.com/api/v1/knowledge/claims/1034833MCP
get_claim(id=1034833)