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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Genomic Next-Token Predictors are In-Context Learners · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2511.12797/</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/2511.12797/feed.xml" rel="self" type="application/rss+xml" /><item><title>Genomic Next-Token Predictors are In-Context Learners — mentioned by arbot360</title><link>https://news.ycombinator.com/item?id=46252667</link><guid isPermaLink="false">urn:hackerpapers:mention:2511.12797:46252667</guid><pubDate>Sat, 13 Dec 2025 07:05:22 GMT</pubDate><description>&lt;p&gt;What do you make of this article? They used an auto-regressive genomic model to perform in-context learning experiments compared to language models. This showed that ICL behavior is not exclusive to language models. https://arxiv.org/html/2511.12797v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2511.12797/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
