Kolmogorov-Arnold networks may make neural networks more understandable(quantamagazine.org)

263 points by isaacfrond 2 years ago | 77 comments

Neural network training makes beautiful fractals(sohl-dickstein.github.io)

264 points by telotortium 2 years ago | 54 comments

Hypernetworks: Neural Networks for Hierarchical Data(blog.sturdystatistics.com)

73 points by mkmccjr 8 months ago | 5 comments

Towards the Cutest Neural Network(kevinlynagh.com)

91 points by surprisetalk 1 year ago | 23 comments

Types and Neural Networks(brunogavranovic.com)

62 points by bgavran 6 months ago | 11 comments

Neural networks need data to learn, even if it’s fake(quantamagazine.org)

35 points by nsoonhui 3 years ago | 15 comments

Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)

549 points by chmaynard 1 year ago | 134 comments

Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.

AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)

343 points by saikatsg 7 months ago | 242 comments

Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.

Deep Learning Is Applied Topology(theahura.substack.com)

473 points by theahura 1 year ago | 176 comments

A Substack essay from 12 Grams of Carbon arguing that deep learning is applied topology, explaining how neural networks transform data lying on manifolds.

AI has access to a vastly larger working memory than the human brain(davidepiffer.com)

524 points by rzk 2 months ago | 452 comments

A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.

AI tools are spotting errors in research papers(nature.com)

555 points by kgwgk 1 year ago | 200 comments

Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.

Artificial intelligence is losing hype(economist.com)

453 points by bx376 2 years ago | 663 comments

An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.