https://hackerpaper.kaipfister.de/p/1904.02990/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=44766849urn:hackerpapers:mention:1904.02990:44766849Sat, 02 Aug 2025 11:48:36 GMT<p>You could argue that since automatic differentiation and symbolic differentiation are equivalent, [1] symbolic AI did succeed by becoming massively parallelizable, we just needed to scale up the data and hardware in kind. [1]: https://arxiv.org/pdf/1904.02990</p><p><a href="https://hackerpaper.kaipfister.de/p/1904.02990/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.SChttps://news.ycombinator.com/item?id=35577484urn:hackerpapers:mention:1904.02990:35577484Sat, 15 Apr 2023 03:56:11 GMT<p>Sören Laue, creator and first author of this work [1] gave a nice talk [2,3] about it at our reading group not long ago. He also has written about how automatic and symbolic differentiation are essentially equivalent. [4] [1]: https://papers.nips.cc/paper/2018/file/0a1bf96b7165e962e90cb... [2]: https://www.youtube.com/watch?v=IbTRRlPZwgc [3]: https://compcalc.github.io/public/laue/tensor_derivatives.pd... [4]: https://arxiv.org/pdf/1904.02990.pdf</p><p><a href="https://hackerpaper.kaipfister.de/p/1904.02990/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.SC