One week into Open-R1, our project to replicate its training pipeline and synthetic data. A thread 🧵 (0/13) More details here: huggingface.co/blog/open-r1/u…

Open-R1: Update #1 huggingface.co/blog/open-r1/u…

LightOn joins OpenEuroLLM - LightOn lighton.ai/lighton-blogs/…

Open Euro LLM openeurollm.eu

AI made in 🇪🇺 OpenEuroLLM, the first family of open source Large Language Models covering all EU languages, has earned the first STEP Seal for its excellence. It brings together EU startups, research labs and supercomputing hosts to train AI on European supercomputers ↓

Thank you for your persistence!

Within 24 hours, OpenAI's Deep Research has been replicated by an open-source version that already scores 54% on the same validation set OpenAI's scored 67%.

Apple team shows self-driving AI can learn entirely by practicing against itself - no human driving data needed. In testing, their system averages 17.5 years of continuous driving between incidents, far surpassing humans. All through self-play, not imitation.

na klar!

60+ EU companies announce the EU AI Champions Initiative. Is Europe finally waking up?

Any plans to get an iOS back to the AppStore?

Either would be awesome, I still have the two Kickstarter editions.

A reasonable expert in economics or finance is now free basically

Done ✅

I would like to see a. unpack details / dig deeper b. compare contrary views

addition c. compile a whole thread with different aspects/prompts into a summary (export pdf, md)

When will AI systems be able to carry out long projects independently? In new research, we find a kind of “Moore’s Law for AI agents”: the length of tasks that AIs can do is doubling about every 7 months.

linkedin pre 2017 without posing & sales

Amazing

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity - Apple Machine Learning Research machinelearning.apple.com/research/illus…