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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Guppy Effect as Interference · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1208.2362/</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/1208.2362/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Guppy Effect as Interference — mentioned by Xmd5a</title><link>https://news.ycombinator.com/item?id=46018945</link><guid isPermaLink="false">urn:hackerpapers:mention:1208.2362:46018945</guid><pubDate>Sat, 22 Nov 2025 22:37:09 GMT</pubDate><description>&lt;p&gt;Related: From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning – https://arxiv.org/pdf/2505.17117 (Lecun/Jurafsky) &amp;gt; Large Language Models (LLMs) demonstrate striking linguistic capabilities that suggest semantic understanding (Singh et al., 2024; Li et al., 2024). Yet, a critical question remains unanswered: Do 1arXiv:2505.17117v5 [cs.CL] 25 Sep 2025LLMs navigate the compression-meaning trade-off similarly to humans, or do they employ fundamentally different representational strategies? This question matters because true understanding, which goes beyond surface-level…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1208.2362/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>The Guppy Effect as Interference — mentioned by Xmd5a</title><link>https://news.ycombinator.com/item?id=44448632</link><guid isPermaLink="false">urn:hackerpapers:mention:1208.2362:44448632</guid><pubDate>Wed, 02 Jul 2025 20:45:45 GMT</pubDate><description>&lt;p&gt;I don&amp;#x27;t think this cursory look at the abstracts and first pages of these papers is achieving the effect you intended. The first quote summarize the findings (page 4) of Tversky &amp;amp; Shafir, 1992. Google indicates this paper has 978 citations. &amp;gt;is STONE LION a STONE This is called a typicality test. Jurafsky, Lecun &amp;amp; two more fellows dropped this paper recently: https://arxiv.org/pdf/2505.17117 (emphasis mine) &amp;gt;This work aims to bridge this gap by integrating cognitive psychology, information theory, and modern NLP. We pose three central research questions to guide our investigation: [RQ1]: To…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1208.2362/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
