https://hackerpaper.kaipfister.de/p/2510.03426/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=45672542urn:hackerpapers:mention:2510.03426:45672542Wed, 22 Oct 2025 17:40:54 GMT<p>The paper[0] is actually about their logarithmic number system. Deep learning is given as an example, and their reference implementation is in PyTorch, but it is far from the only application. Anything involving a large number of multiplications that produce extremely small or extremely large numbers could make use of their number representation. It builds on existing complex number implementations, making it fairly easy to implement in software and relatively efficient. They provide implementations of a number of common operations, including dot product (building on PyTorch&#x27;s preexisting…</p><p><a href="https://hackerpaper.kaipfister.de/p/2510.03426/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=45527191urn:hackerpapers:submission:2510.03426:45527191Thu, 09 Oct 2025 13:08:26 GMT<p>Generalized Orders of Magnitude</p><p>https://github.com/glassroom/generalized_orders_of_magnitude</p><p>45 points; 12 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2510.03426/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG