Long Convolutions via Polynomial Multiplication(hazyresearch.stanford.edu)

39 points by cochlear 1 year ago | 6 comments

Two years later, deep learning is still faced with the same basic challenges(garymarcus.substack.com)

51 points by spenvo 2 years ago | 38 comments

Learning From DNA: a grand challenge in biology(hazyresearch.stanford.edu)

103 points by ninjha01 2 years ago | 25 comments

Douglas Hofstadter changes his mind on Deep Learning and AI risk(lesswrong.com)

216 points by kfarr 3 years ago | 305 comments

Look Ma, No Bubbles: Designing a Low-Latency Megakernel for Llama-1B(hazyresearch.stanford.edu)

207 points by ljosifov 1 year ago | 28 comments

The Differences Between Deep Research, Deep Research, and Deep Research(leehanchung.github.io)

200 points by thenameless7741 1 year ago | 66 comments

Doing a Machine Learning PhD While Working in Japan(tokyodev.com)

126 points by pwim 26 days ago | 41 comments

A TokyoDev article by Marco Cognetta on completing a computer science PhD at Tokyo Institute of Technology on a MEXT scholarship while working at Google.

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.

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.

A New Experiment Meta-Strategy(chillphysicsenjoyer.substack.com)

26 points by surprisetalk 1 month ago | 1 comments

A Substack post by an amateur physicist describing a new strategy for doing home experiments after reorganizing a messy lab to fit limited free evenings.

PyTorch Internals: Ezyang's Blog(blog.ezyang.com)

418 points by Anon84 1 year ago | 24 comments

Edward Yang's long-form blog essay on PyTorch internals, based on his talk at the PyTorch NYC meetup on May 14, 2019.

What Is RLCD? The Secret Behind Jev(di-zhang-llm.github.io)

51 points by tnspacetime 1 month ago | 6 comments

Blog post by Fudan PhD candidate Di Zhang explaining RLCD, a calibrated reward modeling approach building on PPRM and Plackett-Luce, and its role in Jev.