Mom, I wrote a book! ⇒ "Ultra-Intelligence", the book to make 🇫🇷 more AI-pilled I often had this question from friends: "How far will AI go?" It's hard to know for a normal French person: most content on AI here is either math- or code-heavy, or just false. So I wrote this

What in the F is an AI factory? I had to investigate what the unelected @EU_Commission is talking about today So according to them, it's some data centers (which they call supercomputers) in 6 different EU countries I checked out the most powerful one: Karolina, a Czech data

Why would in-context learning be that important in AI? (i'm not talking about just "storing new info", which could be achieved for LLMs by enriching prompt, but about "updating reasoning processes") Like, for a human, I get it, we are limited by both lifespan and memory size

Great unforeseen use case of AI: Adaptive timing of red light, ♾️times better than pre-programmed times! (no more waiting for green at midnight in empty streets)

Ok everyone we've found the perfect random number generator

@ThomasScialom @SanhEstPasMoi @TimDarcet Tell me if anyone else should be in there! My graph collection started from a list of seed authors and expanded by exploring co-authors, it could have missed some islands of talent

I parsed results using ScrapingDog Google Scholar API. Restricted it to young authors, i.e. "first paper after 2015" Citation counts can be wrong, attributing main authorship was hacky Anyway, congrats @ThomasScialom @SanhEstPasMoi @TimDarcet for being so good! (and

Looking to poach top french AI researchers? I did a table for you, ranked by yearly citations:

Less is More is the best paper I've read in months And probably one of the most important breakthroughs this year Congrats @jm_alexia 👏

That's insane! i wanted to try my hand on a HRM, but I'll have to try TRM

New paper 📜: Tiny Recursion Model (TRM) is a recursive reasoning approach with a tiny 7M parameters neural network that obtains 45% on ARC-AGI-1 and 8% on ARC-AGI-2, beating most LLMs. Blog: https://t.co/w5ZDsHDDPE Code: https://t.co/7UgKuD9Yll Paper:

Want to catch up with an AI lab's releases over the last months/years? Visiting their 🤗 Hub page is a great way, especially if the org curates collections. (no I don't work at HF anymore, I'll just always be a fan) (i was checking the latest tiny embedding models from

That's a good direction! Let models write their tool calls in code snippets, it's much more flexible & readable & expressive than the lame JSON blobs of usual tool calling!

The @huggingface agents team and @AymericRoucher were so early on this!!

Impressive ! These were meaningful tasks: - evaluated to take > 7 hours on average for professionals - required tool calls (LLMs were in agent mode with code execution / web search / document use)