'Nemotron-4 340B' model redefines synthetic data generation, rivals GPT-4(venturebeat.com)

28 points by belter 2 years ago | 3 comments

Cerebras fastest host for DeepSeek R1, 57x faster than Nvidia GPUs(venturebeat.com)

3 points by hochmartinez 1 year ago | 0 comments

Mistral CEO confirms 'leak' of new open source AI model nearing GPT4 performance(venturebeat.com)

267 points by pg_1234 2 years ago | 155 comments

Legions of DEF CON hackers will attack generative AI models(venturebeat.com)

180 points by sebg 3 years ago | 83 comments

What Meta learned from Galactica, the doomed model(venturebeat.com)

110 points by swyx 2 years ago | 51 comments

Replit cuts staff by 30 amid aggressive AI push in software development(venturebeat.com)

18 points by petethomas 2 years ago | 7 comments

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.

AI has access to a vastly larger working memory than the human brain(davidepiffer.com)

524 points by rzk 2 months ago | 452 comments

A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.

Training LLMs from ground zero as a startup(yitay.net)

360 points by swyx 2 years ago | 92 comments

Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.

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.

GLM-5.2 is a step change for open agents(interconnects.ai)

344 points by vantareed 4 months ago | 197 comments

Nathan Lambert's Interconnects post arguing that the GLM-5.2 model marks a capability threshold for open-weight agentic AI.

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.