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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Video models are zero-shot learners and reasoners · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2509.20328/</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/2509.20328/feed.xml" rel="self" type="application/rss+xml" /><item><title>Video models are zero-shot learners and reasoners — mentioned by andy12_</title><link>https://news.ycombinator.com/item?id=46443314</link><guid isPermaLink="false">urn:hackerpapers:mention:2509.20328:46443314</guid><pubDate>Wed, 31 Dec 2025 11:35:48 GMT</pubDate><description>&lt;p&gt;Because the general idea here is that image and video models, when scaled way up, can generalize like text models did[1], and eventually be treated as &amp;quot;world models&amp;quot;[2]; models that can accurately model real world processes. These &amp;quot;world models&amp;quot; then could be used to train embodied agents with RL in an scalable way[3]. The video-slop and image-slop generators is just a way to take advantage of the current research in world models to get more out of it. [1] https://arxiv.org/pdf/2509.20328 [2] https://deepmind.google/blog/genie-3-a-new-frontier-for-worl... [3] https://arxiv.org/pdf/2509.24527&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2509.20328/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Video models are zero-shot learners and reasoners — HN submission</title><link>https://news.ycombinator.com/item?id=45493466</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.20328:45493466</guid><pubDate>Mon, 06 Oct 2025 17:02:43 GMT</pubDate><description>&lt;p&gt;Video models are zero-shot learners and reasoners&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.20328/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
