https://hackerpaper.kaipfister.de/p/2111.03797/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=32330261urn:hackerpapers:mention:2111.03797:32330261Wed, 03 Aug 2022 11:28:41 GMT<p>The trick is to remember that a neural network is a function approximator. A good deal of AI research is in the business of casting &quot;intelligence&quot; as a &quot;function&quot; so that you can pose a problem and figure out how to feed it data, ie., well-defined input and output. That&#x27;s why different function approximators can be used for AI, such as decision trees, etc., not just neural networks. What to model, and how to model it, are orthogonal problems, both interesting in their own right. It just happens that NN are particularly good at handling high-dimensional inputs, which are necessary for…</p><p><a href="https://hackerpaper.kaipfister.de/p/2111.03797/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.GR