Novel method of cold water immersion for heat stroke(onlinelibrary.wiley.com)

43 points by bookofjoe 3 years ago | 39 comments

A Milestone in Formalization: The Sphere Packing Problem in Dimension 8(alphaxiv.org)

25 points by measurablefunc 6 months ago | 0 comments

Code World Models for Parameter Control in Evolutionary Algorithms(alphaxiv.org)

3 points by camilochs 7 months ago | 0 comments

Helios: Real real-time long video generation model(alphaxiv.org)

11 points by tzury 7 months ago | 3 comments

Defining new Jax types with hijax(docs.jax.dev)

11 points by fhchl 3 months ago | 2 comments

Halvar's Guide to Entrepreneurship(thomasdullien.github.io)

199 points by nekitamo 4 months ago | 44 comments

How I use LLMs to learn complex topics(laurentiugabriel.github.io)

763 points by laurentiurad 2 months ago | 489 comments

Personal blog post by Laurentiu Raducu describing how he uses LLMs to learn complex topics, including building an interactive chip-making game called ChipTycoon.

The new skill in AI is not prompting, it's context engineering(philschmid.de)

832 points by robotswantdata 1 year ago | 467 comments

Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.

Artificial intelligence is losing hype(economist.com)

453 points by bx376 2 years ago | 663 comments

An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.

When everyone has AI and the company still learns nothing(robert-glaser.de)

355 points by youngbrioche 5 months ago | 234 comments

Robert Glaser's blog essay on why companies fail to turn individual AI tool use into organizational learning and team capabilities.

Some thoughts on LLMs and software development(martinfowler.com)

378 points by floverfelt 1 year ago | 347 comments

Martin Fowler's blog post sharing scattered thoughts on the state of LLMs and AI and their effect on software development.

LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)

336 points by CharlesW 2 years ago | 121 comments

MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.