<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Distilling Governing Laws and Source Input for Dynamical Systems from Videos · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2205.01314/</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/2205.01314/feed.xml" rel="self" type="application/rss+xml" /><item><title>Distilling Governing Laws and Source Input for Dynamical Systems from Videos — mentioned by zone411</title><link>https://news.ycombinator.com/item?id=33869149</link><guid isPermaLink="false">urn:hackerpapers:mention:2205.01314:33869149</guid><pubDate>Mon, 05 Dec 2022 18:01:18 GMT</pubDate><description>&lt;p&gt;You said &amp;quot;There is zero chance that an AI can understand the physical world without access to it,&amp;quot; which is wrong. It is possible. Using videos is an active research area, e.g. https://proceedings.neurips.cc/paper/2021/hash/07845cd9aefa6... or https://arxiv.org/abs/2205.01314&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2205.01314/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
