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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2605.00225/</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/2605.00225/feed.xml" rel="self" type="application/rss+xml" /><item><title>From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings — mentioned by plumbline</title><link>https://news.ycombinator.com/item?id=48056951</link><guid isPermaLink="false">urn:hackerpapers:mention:2605.00225:48056951</guid><pubDate>Fri, 08 May 2026 00:32:03 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;ve been thinking about this a lot actually. It can almost be related to the conversation about specialization. The more specialized a model is required to be, the less capable it seems to be at a foundational level, where as if you just aim towards a liiitle bit of abstraction, you might get the best of both worlds. Here&amp;#x27;s a pretty specific example of what I mean, but maybe food for thought: Podcast (20 minute digest): https://pub-6333550e348d4a5abe6f40ae47d2925c.r2.dev/EP008.ht... Paper: https://arxiv.org/abs/2605.00225&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2605.00225/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item></channel></rss>
