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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Compact Proofs of Model Performance via Mechanistic Interpretability · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.11779/</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/2406.11779/feed.xml" rel="self" type="application/rss+xml" /><item><title>Compact Proofs of Model Performance via Mechanistic Interpretability — mentioned by jasongross</title><link>https://news.ycombinator.com/item?id=46619489</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.11779:46619489</guid><pubDate>Wed, 14 Jan 2026 17:55:33 GMT</pubDate><description>&lt;p&gt;There is a tradeoff between the compute required to generate a proof and the compute required to check it. Fully generic methods such as SMT solvers require compute exponential in the number of variables in scope and lines of code in a single function. Breaking the exponential requires (and is perhaps equivalent to) understanding the code in sufficient detail (cf https://arxiv.org/abs/2406.11779). In practice, the computational cost of semi-automated proof generation is a significant bottleneck, cf https://dspace.mit.edu/handle/1721.1/130763?show=full and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.11779/"&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>
