Expired60% confidenceFactTime unknown
OpenAI's o1 series of reasoning models improved accuracy through an internal 'thinking' process, but at the cost of significantly longer wait times — sometimes requiring tens of seconds to complete a single response
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
GPT 5.5 Instant Deep Dive: How It Tackles AI Hallucinations for Trustworthy Real-World Deployment
bilibili阿丽小塔
Related Claims
Unverified更强大的推理模型(如OpenAI o系列)往往延迟更高,不适合实时对话,构成速度-智能权衡困境80% similarUnverifiedTaking OpenAI's o1-pro as an example, a single complex reasoning task may generate tens of thousands of hidden thinking tokens, and the cost can be 5 to 10 times that of normal mode.72% similarUnverifiedEnabling deep reasoning significantly increases inference time and token consumption; questions that originally took a few seconds to answer may require several minutes.71% similarUnverifiedSelf-consistency checking, by having the model sample the same question multiple times and comparing answer stability, consumes only inference time without increasing peak VRAM usage.71% similarUnverifiedThe high accuracy of large models on everyday tasks provides fertile ground for automation bias—the higher a system's accuracy rate, the more easily its errors are overlooked by humans.71% similar
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