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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Context Compaction Theory · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2608.01326/</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/2608.01326/feed.xml" rel="self" type="application/rss+xml" /><item><title>Context Compaction Theory — mentioned by kgcgfva</title><link>https://news.ycombinator.com/item?id=49513339</link><guid isPermaLink="false">urn:hackerpapers:mention:2608.01326:49513339</guid><pubDate>Mon, 31 Aug 2026 18:46:14 GMT</pubDate><description>&lt;p&gt;A recent paper, Context Compaction Theory (arXiv:2608.01326) puts a floor on how much you can compact an agent&amp;#x27;s memory. They measured Opus 4.8 against the floor. 4.8 lands on the random-guess line for membership queries. Not very good; but at least it&amp;#x27;s latent and $-spendy? I ran the same probes against Wunderblock, which is based on vector-symbolic architecture, and got 84% of the floor with no LLM at all. Bloom filters sit at 55%. LLMs are overused!&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2608.01326/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item><item><title>Context Compaction Theory — HN submission</title><link>https://news.ycombinator.com/item?id=49164228</link><guid isPermaLink="false">urn:hackerpapers:submission:2608.01326:49164228</guid><pubDate>Tue, 04 Aug 2026 03:58:14 GMT</pubDate><description>&lt;p&gt;Context Compaction Theory&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2608.01326/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item></channel></rss>
