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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Discovery of Unstable Singularities · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2509.14185/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2509.14185/feed.xml" rel="self" type="application/rss+xml" /><item><title>Discovery of Unstable Singularities — HN submission</title><link>https://news.ycombinator.com/item?id=46250588</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.14185:46250588</guid><pubDate>Sat, 13 Dec 2025 00:05:04 GMT</pubDate><description>&lt;p&gt;Discovery of Unstable Singularities (In 3D Navier-Stokes Équations)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.14185/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.AP</category></item><item><title>Discovery of Unstable Singularities — HN submission</title><link>https://news.ycombinator.com/item?id=45645461</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.14185:45645461</guid><pubDate>Mon, 20 Oct 2025 16:04:03 GMT</pubDate><description>&lt;p&gt;Show HN: Unstable Singularity Detector update 1.4.1&lt;/p&gt;&lt;p&gt;Hi HN, I&amp;#x27;m the author of this project. Unstable Singularity Detector is an open-source implementation of a Physics-Informed Neural Network (PINN) system that detects blow-up singularities in PDEs — like those found in fluid dynamics. It’s inspired by the methodology in a recent DeepMind paper, but fully independently built from scratch. The system predicts instability thresholds (lambda values), trains PINNs in multiple stages, and reaches machine-level residuals (10⁻¹³) using a high-precision Gauss–Newton optimizer. This new v1.4.1 release adds: - Multi-stage PINN orchestration with FSDP and…&lt;/p&gt;&lt;p&gt;1 point; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.14185/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.AP</category></item><item><title>Discovery of Unstable Singularities — HN submission</title><link>https://news.ycombinator.com/item?id=45496094</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.14185:45496094</guid><pubDate>Mon, 06 Oct 2025 20:43:05 GMT</pubDate><description>&lt;p&gt;Discovery of Unstable Singularities in Navier Stokes (DeepMind)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.14185/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.AP</category></item><item><title>Discovery of Unstable Singularities — HN submission</title><link>https://news.ycombinator.com/item?id=45472755</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.14185:45472755</guid><pubDate>Sat, 04 Oct 2025 12:15:15 GMT</pubDate><description>&lt;p&gt;Show HN: Unstable Singularity Detector&lt;/p&gt;&lt;p&gt;### Why I built - Earlier this year, DeepMind published groundbreaking work on detecting unstable singularities in fluid dynamics—one of the deepest open problems in mathematical physics (arXiv:2509.14185). - The challenge? No public code. - Extreme numerical precision requirements. - Complex multi-stage training. This makes independent verification nearly impossible. - So I built an open-source re-implementation to bridge that gap. --- ### What It Does Detects finite-time blow-ups in PDEs using Physics-Informed Neural Networks: - Lambda prediction formulas (&amp;lt;1% error vs. published…&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.14185/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.AP</category></item><item><title>Discovery of Unstable Singularities — HN submission</title><link>https://news.ycombinator.com/item?id=45412072</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.14185:45412072</guid><pubDate>Mon, 29 Sep 2025 10:20:45 GMT</pubDate><description>&lt;p&gt;Discovery of Unstable Singularities&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/2509.14185/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.AP</category></item><item><title>Discovery of Unstable Singularities — HN submission</title><link>https://news.ycombinator.com/item?id=45293872</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.14185:45293872</guid><pubDate>Thu, 18 Sep 2025 19:24:47 GMT</pubDate><description>&lt;p&gt;Discovery of Unstable Singularities&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.14185/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.AP</category></item></channel></rss>
