The Ken Thompson Hack(wiki.c2.com)
98 points by stephc_int13 | 27 comments
98 points by stephc_int13 | 27 comments
14 points by mfrw | 5 comments
18 points by luu | 0 comments
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.
342 points by jxmorris12 | 36 comments
A tutorial blog post by Chenyang Yuan explaining diffusion models from scratch through a new theoretical perspective.
376 points by kristianpaul | 43 comments
GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.
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.
474 points by paulpauper | 375 comments
LessWrong linkpost essay arguing recent AI model improvements feel overstated, based on experience building an AI codebase security-scanning startup.
546 points by fagnerbrack | 213 comments
A blog post arguing that many so-called abstractions in codebases are merely layers of indirection that add complexity and hurt performance without real value.