Unverified50% confidenceOpinionExact time
The poster said they are unsure how formal verification holds up in floating-point arithmetic or any nondeterministic scenario.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
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Related Claims
UnverifiedRounding errors in floating-point arithmetic and the nondeterminism of parallel execution are classic difficulties for formal verification.80% similarUnverifiedObtaining this guarantee relies on learning the unknown heteroscedastic variance through repeated simulation, rather than assuming the variance is known or estimating it in advance.70% similarUnverifiedThere is a counterintuitive conclusion: under the setting of an exact verifier and a fixed source, interleaved execution cannot break the hard upper bounds; but under a noisy verifier, the source-first protocol may lose an unbounded factor, indicating that curriculum-style intuition is unsafe in the noisy verification setting.67% similarUnverifiedThe credible interval in Bayesian methods can be directly interpreted as the probability that a parameter falls within the range, providing a more intuitive quantification of uncertainty than the frequentist confidence interval.66% similarUnverifiedDefenses against prompt injection (classifiers, instruction hierarchies, source labels) are without exception probabilistic; the model may be bypassed by novel phrasing, and classifiers may misjudge legitimate input.66% similar
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