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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Concept Attractors in LLMs and their Applications · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.11575/</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/2601.11575/feed.xml" rel="self" type="application/rss+xml" /><item><title>Concept Attractors in LLMs and their Applications — mentioned by gAI</title><link>https://news.ycombinator.com/item?id=47555649</link><guid isPermaLink="false">urn:hackerpapers:mention:2601.11575:47555649</guid><pubDate>Sat, 28 Mar 2026 15:46:41 GMT</pubDate><description>&lt;p&gt;As I understand it, it&amp;#x27;s more that the training (and training data set) bake in the concept attractor space (https://arxiv.org/abs/2601.11575). So the available characters are fixed, yes, and some are much stronger attractors than others. But we still have a fair amount of control over which archetype steps into the circle. As an aside, this is also why jailbreaking is fundamentally unsolved. It&amp;#x27;s not difficult to call the characters with dark traits. They&amp;#x27;re strong attractors, in spite of (or because of?) the effort put into strengthening the pull of the Assistant character.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2601.11575/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
