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Swift Sampling: Selecting Temporal Surprises via Taylor Series

Hugging Face Daily Papers · 2026-05-21 Cached

Swift Sampling is a training-free algorithm that uses Taylor expansion to identify high-information moments in long-form videos by detecting deviations from predicted feature trajectories, improving accuracy on video QA tasks with minimal computational overhead.

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#taylor-series

A philosophical reflection on the problem of approximation in mathematics, finance, and AI, discussing how models are imperfect but useful, and the implications for AI safety and machine consciousness

X AI KOLs · 14h ago Cached

A philosophical reflection on the problem of approximation in mathematics, finance, and AI, discussing how models are imperfect but useful, and the implications for AI safety and machine consciousness.

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