Understanding DeepMind's sorting algorithm(justine.lol)
325 points by jart | 48 comments
Justine Tunney's blog post analyzing DeepMind's AlphaDev-discovered sorting kernels and how they apply to C library sorting code.
First screen, captured .
Looks similar
JSONB has landed(sqlite.org)
579 points by nalgeon | 181 comments
SQLite forum post by Richard Hipp announcing JSONB, a binary rewrite of SQLite's JSON functions that landed on trunk and can be several times faster.
Perl v5.40.0 is now available(perldoc.perl.org)
50 points by bw86 | 6 comments
Related stories
Deep Learning Is Not So Mysterious or Different(arxiv.org)
445 points by wuubuu | 112 comments
arXiv paper by Andrew Gordon Wilson arguing deep learning generalization phenomena like benign overfitting and double descent are explainable by soft inductive biases.
The Little Book of Deep Learning [pdf](fleuret.org)
420 points by dataminer | 29 comments
A PDF of François Fleuret's The Little Book of Deep Learning, a short introductory textbook on deep learning.
Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory(arxiv.org)
412 points by Anon84 | 132 comments
arXiv listing for a book by Jentzen, Kuckuck, and von Wurstemberger giving a mathematically rigorous introduction to deep learning methods, implementations, and theory.
There Will Be a Scientific Theory of Deep Learning(arxiv.org)
320 points by jamie-simon | 142 comments
An arXiv position paper arguing that a scientific theory of deep learning is emerging, surveying five strands of research such as solvable models, scaling limits, and universal behaviors.
Understanding Machine Learning: From Theory to Algorithms(cs.huji.ac.il)
407 points by Anon84 | 51 comments
Link to the free online copy of the textbook Understanding Machine Learning: From Theory to Algorithms; the page loaded as a security-block error.
Deep Learning Is Applied Topology(theahura.substack.com)
473 points by theahura | 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.