<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.13493/</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/2407.13493/feed.xml" rel="self" type="application/rss+xml" /><item><title>Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law — mentioned by frabcus</title><link>https://news.ycombinator.com/item?id=48645427</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.13493:48645427</guid><pubDate>Tue, 23 Jun 2026 14:23:26 GMT</pubDate><description>&lt;p&gt;There have been some US cases about this, but it isn&amp;#x27;t generally settled internationally. &amp;quot;Fair use&amp;quot; is a US specific thing. Even in the US there are ongoing cases. Paper about how weights are a derivative work of the training data: https://arxiv.org/abs/2407.13493 Currently in progress law suits about AI copyright: https://informationisbeautiful.net/visualizations/the-rise-o...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.13493/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law — mentioned by 1vuio0pswjnm7</title><link>https://news.ycombinator.com/item?id=42612990</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.13493:42612990</guid><pubDate>Mon, 06 Jan 2025 17:50:57 GMT</pubDate><description>&lt;p&gt;Where the model owner is not the owner of the training data consider also that weights may be derivative works: https://www.arxiv.org/pdf/2407.13493&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.13493/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
