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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An Algorithm for Routing Vectors in Sequences · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2211.11754/</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/2211.11754/feed.xml" rel="self" type="application/rss+xml" /><item><title>An Algorithm for Routing Vectors in Sequences — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=34108047</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.11754:34108047</guid><pubDate>Fri, 23 Dec 2022 17:01:03 GMT</pubDate><description>&lt;p&gt;Funnily enough, I&amp;#x27;m currently trying to make my way through a preprint showing that models of dense associate memory with bipartite structure, including Transformers (!!!), are a special case of a more general routing algorithm that implements a &amp;quot;block of agents&amp;quot; in a differentiable model of Minsky&amp;#x27;s Society of Mind: https://arxiv.org/abs/2211.11754. Maybe &amp;quot;symbolic&amp;quot; and &amp;quot;connectionist&amp;quot; AI are two sides of the same coin? EDIT: I feel compelled to mention that the efficient implementation of that more general routing algorithm can handle input sequences with more than 1M token embeddings in a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.11754/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>An Algorithm for Routing Vectors in Sequences — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=34097434</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.11754:34097434</guid><pubDate>Thu, 22 Dec 2022 19:30:16 GMT</pubDate><description>&lt;p&gt;&amp;gt; I wonder whether it would make sense to separate the concepts of &amp;quot;simpler&amp;quot; and &amp;quot;interpretable.&amp;quot; Interesting. I was thinking the same, after coming across a preprint proposing a credit-assignment mechanism that seems to make it possible to build deep models in a way that enables interpretability: https://arxiv.org/abs/2211.11754 (please note: the results look interesting/significant to me, but I&amp;#x27;m still making my way through the preprint and its accompanying code). Consider that our brains are incredibly complex organs, yet they are really good at answering questions in a way that other…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.11754/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
