Why is GPT-3 15.77x more expensive for certain languages?(denyslinkov.medium.com)

106 points by rayshan 3 years ago | 101 comments

GPUHammer: Rowhammer attacks on GPU memories are practical(gpuhammer.com)

260 points by jonbaer 1 year ago | 89 comments

Faster sorting with SIMD CUDA intrinsics (2024)(winwang.blog)

73 points by winwang 1 year ago | 9 comments

APL: An Array Oriented Programming Language (2018)(medium.com)

94 points by tailrecursion 3 years ago | 80 comments

FSRS: A modern, efficient spaced repetition algorithm(github.com)

339 points by rickcarlino 2 years ago | 107 comments

GitHub wiki page for fsrs4anki explaining the basics of FSRS, a spaced repetition scheduling algorithm by Jarrett Ye intended to replace Anki's SM2.

Discovering a JDK Race Condition, and Debugging It in 30 Minutes with Fray(aoli.al)

132 points by aoli-al 1 year ago | 37 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.

Why Math Dumped OpenAI(raymyers.org)

11 points by xeonmc 9 days ago | 0 comments

A blog post by Ray Myers arguing why the mathematics community moved away from OpenAI.

Notes on OpenAI's new o1 chain-of-thought models(simonwillison.net)

641 points by loganfrederick 2 years ago | 566 comments

Simon Willison's blog post with notes on OpenAI's o1-preview and o1-mini models, covering chain-of-thought training, API details, hidden reasoning tokens and examples.

OpenAI just dropped 700 preprints of mathematical proofs and counterexamples(github.com)

20 points by tootie 19 days ago | 6 comments

GitHub directory in OpenAI's math repository containing hundreds of preprints of mathematical proofs and counterexamples.

What AI-Native Looks Like(fagnerbrack.com)

14 points by fagnerbrack 1 month ago | 7 comments

A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.

GPUs Go Brrr(hazyresearch.stanford.edu)

1056 points by nmstoker 2 years ago | 243 comments

Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.