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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SlopShape: Identifying AI-Generated Commercial Web Content · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2609.15369/</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/2609.15369/feed.xml" rel="self" type="application/rss+xml" /><item><title>SlopShape: Identifying AI-Generated Commercial Web Content — mentioned by corysama</title><link>https://news.ycombinator.com/item?id=50092128</link><guid isPermaLink="false">urn:hackerpapers:mention:2609.15369:50092128</guid><pubDate>Wed, 14 Oct 2026 18:03:47 GMT</pubDate><description>&lt;p&gt;Supposedly, SlopShape https://arxiv.org/abs/2609.15369 can ID not just human vs bot but which bot via structural patterns in the writing. Next we need a &amp;quot;Verbose useless content&amp;quot; detector and we&amp;#x27;ll be set up to GAN the whole internet into https://xkcd.com/810/ &amp;quot;Mission Accomplished&amp;quot;.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2609.15369/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>SlopShape: Identifying AI-Generated Commercial Web Content — HN submission</title><link>https://news.ycombinator.com/item?id=49800566</link><guid isPermaLink="false">urn:hackerpapers:submission:2609.15369:49800566</guid><pubDate>Tue, 22 Sep 2026 13:00:49 GMT</pubDate><description>&lt;p&gt;Show HN: Training a model to identify AI web content from structure alone&lt;/p&gt;&lt;p&gt;Hey HN! We’re Vincent and Jochen from Sitefire (https://sitefire.ai). We have been working together for years, with backgrounds in RL/optimization at Stanford and software engineering from Technical University Munich (TUM). With Sitefire (YC W26), we help marketing teams get recommended by AI Search (ChatGPT, Google AI Overviews, AI Mode, Claude, etc.). Our software monitors prompts, sees which web pages get cited, and uses these insights to help marketing teams take action, e.g. create YouTube videos or write the right blog posts. This means we have a commercial stake in AI-generated web…&lt;/p&gt;&lt;p&gt;74 points; 28 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2609.15369/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
