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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Silicon Psyche: Anthropomorphic Vulnerabilities in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.00867/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2601.00867/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Silicon Psyche: Anthropomorphic Vulnerabilities in Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=48192607</link><guid isPermaLink="false">urn:hackerpapers:submission:2601.00867:48192607</guid><pubDate>Tue, 19 May 2026 12:48:32 GMT</pubDate><description>&lt;p&gt;Show HN: How to analyze your LLM output – A behavioural health monitor for LLMs&lt;/p&gt;&lt;p&gt;Hey HN! We&amp;#x27;re Dr. Kashyap Thimmaraju and Giuseppe Canale from Silicon Psyche. We&amp;#x27;ve built Posture Sequence Analysis (PSA), a behavioural health monitor for LLMs and AI Agents. Why we built PSA We built PSA because we wanted to operationalize the Cybersecurity Psychology Framework (CPF3)[1] via Silicon Psyche[2]: our theory that because LLMs have been trained by humans on human-generated data, they inherit human-like vulnerabilities (what hackers use to psychologically trick people into doing things). Our initial attempt resulted in a methodology to jailbreak Opus 4.6 and other frontier…&lt;/p&gt;&lt;p&gt;10 points; 7 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2601.00867/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
