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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Information geometry for multiparameter models: New perspectives on the origin of simplicity · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2111.07176/</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/2111.07176/feed.xml" rel="self" type="application/rss+xml" /><item><title>Information geometry for multiparameter models: New perspectives on the origin of simplicity — mentioned by bglazer</title><link>https://news.ycombinator.com/item?id=40801827</link><guid isPermaLink="false">urn:hackerpapers:mention:2111.07176:40801827</guid><pubDate>Wed, 26 Jun 2024 16:39:00 GMT</pubDate><description>&lt;p&gt;Interesting stuff! I&amp;#x27;m mostly thinking individual cells in a multicellular organism (i.e. lung cells in a person). It is indeed very hard to understand what they are optimizing for. Obviously, the organism as a whole is under selective pressure, but I&amp;#x27;m not sure how much an individual cell in a given organism actually &amp;quot;feels&amp;quot; the pressure. Like, they undergo many cell cycles during one organism&amp;#x27;s life, but they&amp;#x27;re not really evolving or being selected during each cell cycle. Of course, this isn&amp;#x27;t always true as tumors definitely display selective pressure and evolution. But for normal tissue…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2111.07176/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cond-mat.stat-mech</category></item></channel></rss>
