<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.28489/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2603.28489/feed.xml" rel="self" type="application/rss+xml" /><item><title>Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms — mentioned by popalchemist</title><link>https://news.ycombinator.com/item?id=49945703</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.28489:49945703</guid><pubDate>Sat, 03 Oct 2026 16:36:24 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/html/2603.28489v1 Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms https://bfl.ai/models/flux-3-action The idea to use predictive models of future observations for decision making has a long history, including early demonstrations of robot control which combined action-conditioned video prediction with model-predictive control. Clearly I&amp;#x27;m the uneducated one here eh&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.28489/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.IV</category></item></channel></rss>
