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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture ๆŠ•็จฟใฏๅ€‹ไบบใฎๆ„่ฆ‹ใงใ™ใ€‚
๊ฐ€์ž… May 2026
286 ํŒ”๋กœ์ž‰ ์ค‘    469 ํŒฌ
TL;DR: A survey that treats video as an incomplete projection of a hidden world and organizes video AI research into four operations: Reading, Writing, Sharing, and Interacting. Title: Reading, Writing, Sharing, and Interacting with the World through Video URL: Key points ใƒป๐Ÿ‘๏ธ Reading: infer semantics, space, time, physics, and causality from video ใƒป๐ŸŽฌ Writing: generate video from text, images, camera paths, and other conditions ใƒป๐Ÿ”— Sharing: unify understanding and generation via shared tokens and objectives ใƒป๐Ÿ•น๏ธ Interacting: closed-loop world models that predict state transitions under actions ใƒป๐ŸŽž๏ธ Temporal coherence (neighboring frames agree) is not world consistency (compatible with an admissible world trajectory) ใƒป๐Ÿชœ An evidence ladder grades claims from plausible output up to decision utility The shift in emphasis from visual fidelity to persistent state and physical and causal validity is a useful way to read the field. #WorldModels# #VideoGeneration#
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