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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1211.1302/</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/1211.1302/feed.xml" rel="self" type="application/rss+xml" /><item><title>Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines — mentioned by Xcelerate</title><link>https://news.ycombinator.com/item?id=17682583</link><guid isPermaLink="false">urn:hackerpapers:mention:1211.1302:17682583</guid><pubDate>Fri, 03 Aug 2018 18:56:25 GMT</pubDate><description>&lt;p&gt;While what the author says is true (and I&amp;#x27;m sure he knows vastly more about the subject than I do), I think the way that Kolmogorov complexity is described in the article is a bit misleading to a general audience. For short strings, we often can and do compute the Kolmogorov complexity. See some of Hector Zenil&amp;#x27;s work, e.g. &amp;quot;Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines&amp;quot; (https://arxiv.org/abs/1211.1302). What &amp;quot;uncomputable&amp;quot; means is that for the general case, there cannot exist a program that is guaranteed to find the Kolmogorov complexity…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1211.1302/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IT</category></item></channel></rss>
