Unverified50% confidenceFactExact time
OpenAI controls the degree of reasoning investment via the reasoning.effort parameter (low/medium/high/none), while Anthropic toggles this behavior through the thinking field.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe Poisson process is commonly used to model 'event arrival' problems, but requires independence and stationarity assumptions to be satisfied, whereas OpenAI's reset decisions are human-driven and do not fully satisfy these assumptions.73% similarUnverifiedThe reasoning effort parameter allows callers to trade off reasoning depth against response speed and cost, with high effort triggering more chain-of-thought steps and low effort being faster and more lightweight.70% similarUnverifiedThe effort parameter controls how much the model thinks rather than how much it says; reducing effort does not reliably shorten visible responses, and controlling response length requires explicit prompting.70% similarUnverifiedOpenAI's research this time is essentially measuring AI behavioral stickiness rather than simply functional satisfaction.69% similarUnverified当AI行为不符合预期时，直接追问它「为什么」往往能快速定位到工具或权限层面的限制69% similar
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