GLM-5.2: The Most Powerful Open Model yet and the Brutal Reality of Running It(vettedconsumer.com)

32 points by ermantrout 4 months ago | 4 comments

Introducing gpt-oss(openai.com)

159 points by meetpateltech 1 year ago | 10 comments

GPT-OSS 120B Runs at 3000 tokens/sec on Cerebras(cerebras.ai)

20 points by samspenc 11 months ago | 12 comments

Self-hosted inference orchestrators compared: LocalAI, exo, GPUStack, vLLM(nexlab.net)

11 points by nextime 1 month ago | 2 comments

NTIA Solicits Comments on Open-Weight AI Models(commerce.gov)

28 points by magoghm 2 years ago | 9 comments

Why did Meta open-source Llama 2?(matt-rickard.com)

55 points by rckrd 3 years ago | 44 comments

GPT-5.2 derives a new result in theoretical physics(openai.com)

545 points by davidbarker 8 months ago | 369 comments

OpenAI post announcing that GPT-5.2 derived a new result in theoretical physics; the captured page shows only a loading logo.

OpenAI is good at unminifying code(glama.ai)

860 points by punkpeye 2 years ago | 290 comments

Glama blog post describing how OpenAI's model was used to reverse-engineer and unminify a minified JavaScript component that renders ASCII art.

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.

We were wrong about GPUs(fly.io)

834 points by mxstbr 1 year ago | 529 comments

Fly.io blog post reflecting on how the company's bet on offering GPU machines to developers did not pan out as expected.

Deep Learning Is Not So Mysterious or Different(arxiv.org)

445 points by wuubuu 1 year ago | 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.

Twitter's Recommendation Algorithm(blog.twitter.com)

1670 points by jonknee 3 years ago | 605 comments

GitHub repository twitter/the-algorithm-ml containing the open-sourced machine learning code for Twitter's recommendation algorithm.