<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Statistical Physics of Self-Replication · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1209.1179/</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/1209.1179/feed.xml" rel="self" type="application/rss+xml" /><item><title>Statistical Physics of Self-Replication — mentioned by pmayrgundter</title><link>https://news.ycombinator.com/item?id=19514383</link><guid isPermaLink="false">urn:hackerpapers:mention:1209.1179:19514383</guid><pubDate>Thu, 28 Mar 2019 17:22:53 GMT</pubDate><description>&lt;p&gt;Shannon observed this in his work towards information theory. Humans are able to predict next letters in a stream of natural language with a probability approaching optimal. The original paper is here: https://www.princeton.edu/~wbialek/rome/refs/shannon_51.pdf The summary at wikipedia: https://en.wikipedia.org/wiki/Entropy_(information_theory)#E... Notably, PPM, the best compression algorithm (at the time), was not able to predict as well. So that&amp;#x27;s a quantitative demonstration of optimality in language performance that includes a faculty for understanding syntax and semantics and presumably…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1209.1179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>physics.bio-ph</category></item></channel></rss>
