Unverified50% confidenceFactExact time
Non-determinism stems from the random sampling mechanism of model inference itself as well as vendors' continuous iteration on model versions.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
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Related Claims
UnverifiedThe inherently stochastic sampling of diffusion models means that each generation result differs even given the same prompt.77% similarUnverifiedLarge models rely on a pseudorandom number generator as the sampling source when generating text, and if that pseudorandom source can be predicted, the generation process no longer possesses true unpredictability.76% similarUnverifiedReverse-engineered prompt results may not 100% reproduce the original image, because the original prompt is highly dependent on a specific model version and random seed.75% similarUnverifiedDeterministic inference refers to controlling random factors so that the model always produces completely consistent output for the same input.75% similarUnverifiedPredictive Bayes reformulates the inference process as: using the model to make sequential predictions on unseen data, with these prediction sequences forming a martingale (a stochastic process whose expectation equals its current value).75% similar
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