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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multimodal datasets: misogyny, pornography, and malignant stereotypes · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2110.01963/</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/2110.01963/feed.xml" rel="self" type="application/rss+xml" /><item><title>Multimodal datasets: misogyny, pornography, and malignant stereotypes — mentioned by nicklecompte</title><link>https://news.ycombinator.com/item?id=40032688</link><guid isPermaLink="false">urn:hackerpapers:mention:2110.01963:40032688</guid><pubDate>Sun, 14 Apr 2024 17:24:46 GMT</pubDate><description>&lt;p&gt;It hasn&amp;#x27;t been demonstrated in DALL-E, but this was a problem in older OpenAI text-video models, and it&amp;#x27;s in plenty of CommonCrawl/etc data. There is anecdata from contractors suggesting that DALL-E generated CSAM imagery during RLHF, which is circumstantial evidence that similar images are somewhere in the training data. I think it&amp;#x27;s fair to say we can&amp;#x27;t rely on OpenAI&amp;#x27;s technical competence to remove this stuff from their training data, despite claims to the contrary w.r.t DALL-E 2. (Likewise it seems Copilot Designer churns out CSAM like candy.) Your attitude is naive and competely at odds…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2110.01963/"&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>Multimodal datasets: misogyny, pornography, and malignant stereotypes — HN submission</title><link>https://news.ycombinator.com/item?id=28784421</link><guid isPermaLink="false">urn:hackerpapers:submission:2110.01963:28784421</guid><pubDate>Thu, 07 Oct 2021 10:19:42 GMT</pubDate><description>&lt;p&gt;Misogyny, pornography, and malignant stereotypes in LAION-400M image dataset&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/2110.01963/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
