Unverified50% confidenceOpinionExact time
The instructor repeatedly emphasized in the project: no matter how many layers of evaluation are done, an agent can probably reach 99.9%, but it can never truly reach 100%.
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50%
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Long-term
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10/15/2026
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Related Claims
UnverifiedIn scenarios where AI-generated works account for a low proportion (e.g., only 5%), even with a detection accuracy of 90%, more than two-thirds of the flagged works are actually human-created—this is the base rate fallacy in Bayesian reasoning.71% similarUnverifiedTest data shows that only about 10% of agent tasks genuinely require the highest-tier model, while the remaining 90% show no measurable quality loss when using cheaper tiers.71% similarUnverifiedA high score on any single benchmark test (such as 99.9%) only shows that the model performs excellently within the distribution of that test's questions, and cannot be directly equated with general intelligence.70% similarUnverifiedIn 10%–25% of cases, reasoning about the hypothetical grader pulled the agent's work away from the user's original specification.68% similarUnverifiedCalibration does not equal high accuracy; a system that reports 95% confidence on everything may still be overconfident or blindly optimistic even if its accuracy reaches 95%.68% similar
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