Virtual Threads Arrive in JDK 21, Ushering a New Era of Concurrency(infoq.com)

274 points by ivanche 3 years ago | 441 comments

Meme group on Discord is focus of uproar over leaked Pentagon documents(nytimes.com)

71 points by hi5eyes 3 years ago | 223 comments

Click (2016)(clickclickclick.click)

117 points by JetSpiegel 3 years ago | 33 comments

Meta Open-Sources Computer Vision Foundation Model DINOv2(infoq.com)

202 points by thread_id 3 years ago | 84 comments

LLM tech comes to Wolfram Language(writings.stephenwolfram.com)

110 points by zyl1n 3 years ago | 21 comments

Master Plan Part 3(tesla.com)

268 points by mfiguiere 3 years ago | 304 comments

The Little Book of Deep Learning [pdf](fleuret.org)

420 points by dataminer 3 years ago | 29 comments

A PDF of François Fleuret's The Little Book of Deep Learning, a short introductory textbook on deep learning.

DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost(esengine.github.io)

706 points by Alifatisk 5 months ago | 273 comments

Project homepage for Reasonix, an open-source DeepSeek-native terminal coding agent built around DeepSeek's prefix cache for low-cost long sessions.

TinyML: Ultra-low power machine learning(ikkaro.net)

349 points by Gedxx 2 years ago | 84 comments

An Ikkaro blog article explaining TinyML, covering model compression techniques like pruning, quantization and distillation, tools, and uses on low-power devices.

RubyLLM: A Ruby framework for all major AI providers(rubyllm.com)

439 points by doener 4 months ago | 75 comments

Documentation homepage for RubyLLM, an open-source Ruby framework offering a unified API across major AI providers for chatbots, agents, and RAG apps.

Show HN: Panda, the world's first personal AI computer(pandax1.com)

6 points by moezee1 28 days ago | 19 comments

Product landing page for Panda, a personal AI computer for consumers that runs AI locally, with preorders available.

Qwen3: Think deeper, act faster(qwenlm.github.io)

808 points by synthwave 1 year ago | 369 comments

Blog post from the Qwen team announcing the Qwen3 family of large language models with hybrid thinking and non-thinking modes.