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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Bayesian Second Law of Thermodynamics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1508.02421/</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/1508.02421/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Bayesian Second Law of Thermodynamics — mentioned by Vecr</title><link>https://news.ycombinator.com/item?id=41903811</link><guid isPermaLink="false">urn:hackerpapers:mention:1508.02421:41903811</guid><pubDate>Mon, 21 Oct 2024 13:12:30 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/1508.02421v1 https://arxiv.org/abs/1508.02421v3 (updated, 2017) They claim to fix the criticisms, see the section &amp;quot;The Bayesian arrow of time.&amp;quot; Who knows how well they did though. As far as I can tell they&amp;#x27;re still making impossible assumptions, because certain Bayesian problems can&amp;#x27;t be calculated under a certain amount of energy, and some can&amp;#x27;t be calculated at all while embedded in spacetime (excepting time travel, and sometimes even then). I think it&amp;#x27;s necessary to increase (on expectation) the entropy in a closed system when measuring, unless you take measuring to…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1508.02421/"&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><item><title>The Bayesian Second Law of Thermodynamics — mentioned by riemannzeta</title><link>https://news.ycombinator.com/item?id=37227552</link><guid isPermaLink="false">urn:hackerpapers:mention:1508.02421:37227552</guid><pubDate>Tue, 22 Aug 2023 19:37:26 GMT</pubDate><description>&lt;p&gt;KL divergence has also been used to generalize the second law of thermodynamics for systems far from equilibrium: https://arxiv.org/abs/1508.02421 And to explain the relationship between the rate of evolution and evolutionary fitness: https://math.ucr.edu/home/baez/bio_asu/bio_asu_web.pdf The connection between all of these manifestations of KL divergence is that a system far from equilibrium contains more information (in the Shannon sense) than a system in equilibirum. That &amp;quot;excess information&amp;quot; is what drives fitness within some environment.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1508.02421/"&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><item><title>The Bayesian Second Law of Thermodynamics — HN submission</title><link>https://news.ycombinator.com/item?id=11230109</link><guid isPermaLink="false">urn:hackerpapers:submission:1508.02421:11230109</guid><pubDate>Sat, 05 Mar 2016 17:33:10 GMT</pubDate><description>&lt;p&gt;The Bayesian Second Law of Thermodynamics&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1508.02421/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cond-mat.stat-mech</category></item></channel></rss>
