EU–INC is the single best thing Europe could do to catch-up in the AI race A simple unified pan-European startup structure, with modern employee ownership and simple access to capital, able to tap into Europe’s full talent pool. ‼️ but it’s at high risk of not seeing the light of day. You can help👇

Reachy-Mini update🚨 Good: quality up++, sound/elec better than alpha. First tiny batches ship late Sep. Less good: scaling to thousands units (vs. 100s planned) taking longer than expected Still on track to ship first 3000 pre-orders before Xmas🎄(Lite & Wireless), most shipping early Dec.

first test in plugging the $100 Amazing Hands on a (cute) humanoid instead of grippers - pretty happy about it Hand: github.com/pollen-robot... Humanoid: www.pollen-robotics.com/reachy/

oh my god this is just crazy folks github.com/huggingface/...

wow, total BoM cost $660, folks open-source community >> closed source hyped robots Read more at Xlerobot.readthedocs.io

So excited to finally release our first robot today: Reachy Mini A dream come true: cute and low priced, hackable yet easy to use, powered by open-source and the infinite community. Read more and order now at huggingface.co/blog/reachy-...

very excited about this

London's robot conference is going crazy over it! Today we're unveiling our 1st robot Hugging Face 🤝 Pollen Robotics A low-cost $250 open-source robot designed as an open-source platform for fun human computer interactions powered by HF Spaces, models and community. => discord.com/invite/jsvMR...

We've seen nothing yet! We hosted a 9-13 yo vibe-coding event with @robertkeus.bsky.social this weekend (h/t @antonosika.bsky.social and Lovable) takeaway? AI is unleashing a generation of wildly creative builders beyond anything I'd have imagined and they grow up knowing they can build anything!

Low Tech AI!

This is a really good blog post about how modern speech AI models work, highly recommended ⬇️ #MLSky

[Past weekends side project] A quick introduction to contextual speech models I made some interactive visualisations to explain a bit better how recent contextual speech models and audio tokenization work (e.g. Sesame's demo).

being in a robotics lab in 2025 open-source hardware + good RL + impressive people => lot of fun join the OpenDuck community to build yours: discord.com/invite/UtJZs...

If you've followed the progress of robotics in the past 18 months, you've likely noticed how robotics is increasingly becoming the next frontier that AI will unlock. ---

Fascinating example of applied research! No. 1 question we get with +1.5M models on the hub: how to find the best one for your use-case? Here comes YourBench 🪄 a research work led by Sumuk Shashidhar, Alina Lozovskaya and team. ---

Wow - open-source LLMs for code are so back Just one week after the latest DeepSeek release, here is the All-Hands team dropping a 32B model with matching performance on software engineering tasks benchmarks (SWE-Bench). 20 times smaller than the DeepSeek model --

We've kept pushing our Open-R1 project, an open initiative to replicate and extend the techniques behind DeepSeek-R1 And even we were mind-blown by the results we got with this latest model we're releasing: ⚡️OlympicCoder [1/3]

We're super excited to introduce the Academia Hub! A game-changer for school, university, courses, research, projects, collaborations, publications. Learn more: huggingface.co/docs/hub/aca... It's a per-school offer, not individual => your faculty/admin have to apply Go schools, go universities!

I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a "compressed 21st century" Here: thomwolf.io/blog/scienti... It's an extension of this interview discussion from the AI summit: youtu.be/AxBd3G0lFLs?...

Oh! My TED talk is just out. I talk about how open-source is critical for AI safety and humanity's resilience. Yes, you don't hear that perspective often! :) It's called "What if AI just works" It's here: www.ted.com/talks/thomas...

A few words on DeepSeek new releases. Links are: - github.com/deepseek-ai/... - github.com/deepseek-ai/... - github.com/deepseek-ai/... and the Ultra-Scale Playbook at huggingface.co/spaces/nanot...

We’re just scratching the surface of the "big models + raw video + closed-loop sim" stack. More to come! 🚀 Retweet if you’re excited, and follow @valeoai.bsky.social for updates! 💚 🙏 Thanks for reading! [10/10]

Hugging Face just entered the top 10 organizations on @github.com Close to 500,000 GitHub stars across our open-source libraries! Couldn't be more proud of what this 220-person team is accomplishing

Building real-time WebRTC and Websocket applications is very difficult to get right in Python. Until now - Introducing FastRTC, the realtime communication library for Python ⚡️ huggingface.co/blog/fastrtc

After 6+ months in the making and over a year of GPU compute, we're excited to release the "Ultra-Scale Playbook": hf.co/spaces/nanot... A book to learn all about 5D parallelism, ZeRO, CUDA kernels, how/why overlap compute & coms with theory, motivation, interactive plots and 4000+ experiments!

LLM Reasoning labs will be eating good today🍔 We commandeered the HF cluster for a few days and generated 1.2M reasoning-filled solutions to 500k NuminaMath problems with DeepSeek-R1 🐳 Have fun!

OK! My Google colleague Thang Luong shared some exciting updates about AlphaGeometry2! AG2 now has surpassed the average gold-medalist in solving Olympiad geometry problems, w/ a solve rate of 84% compared to 54% previously! Paper: arxiv.org/abs/2502.03544 See full list of authors on link

From an open-research point of view, maybe the greatest thing about DeepSeek–R1 is how its RL training technique appears so straightforward/simple in comparison to the cumbersome approaches we were starting to think necessary for reasoning like Process Reward Models or Monte Carlo Tree Search. [1/2]

We've just released the new Spaces search and it's quite mind blowing Explore over 400k AI Apps in the most intuitive way background removal, image-to-3D, comic factory, sound transcription, image editing, clothes virtual try-on, etc All made by AI builders for AI builders huggingface.co/spaces

« appending "Wait" multiple times to the model's generation » is our current most likely path to AGI :) See the fresh arxiv.org/abs/2501.19393 by Niklas Muennighoff et al.

Yes! a 15-min-read post to catch up on all experiments, reproductions, explorations around DeepSeek R1 We've summarized everything we did & saw in this first week since DS came to light Results/code/dataset/experiment => if we missed one, share & we'll update Link: huggingface.co/blog/open-r1...

I wrote some reflections on DeepSeek, open-source, AI, US and China, starting from Dario's recent essay calling for stronger export controls. I mostly disagree with his essay and think it missed the point You can read it here: thomwolf.io/blog/deepsee...

I was briefly chatting on Bloomberg earlier today about DeepSeek and open-source AI youtu.be/wjU2zTbrqQY?...

The most impactful open-source project of today (dixit Vercel VP of AI) => huggingface.co/blog/open-r1

Every time you declare open-source AI dead another team rise up like a Whac-A-Mole. Intelligence will be commoditized! The remaining moat will be the quality of the product and how it integrate with co-factors. That’s were billions dollars AI companies will be built.

The AI agent course keeps breaking records! Now breaking discord registration system You can still join at bit.ly/hf-learn-age... (let’s test discord infrastructure hahah)

Wait! Over 35 *thousands* people already registered for the AI Agent course in a few days... time to find the biggest conference center in the world and gather everyone for a giga-conference on agents? you can still join the online course here bit.ly/hf-learn-age...

🚨 I'll be in Davos next week as part of the Unicorn program at the World Economic Forum Let's meet if you're interested in leveraging/building/discussing AI!

Mind blown 👇 when people ask whether you need an agent framework at all! All evals should move to agentic evals in 2025 in my opinion. We’re just leaving so much capabilities of our models on the table. Benchmarked with smolagents: github.com/huggingface/...

Free course on Agents by Hugging Face. We just added a chapter to smol course on agents. Naturally, using smolagents! The course cover these topics: - Code agents - Retrieval agents - Custom functional If you're building agent applications, this course should help.

Yes!

What was the most impactful/visible/useful release on evaluation in AI in 2024?

New LLM evals entering and leaving the field saturated before the paper is even published in ML conferences 📸 matt_mccreary1

4 out of the 6 top trending repos on GitHub are from Chinese AI teams today 2025 is gonna look quite different from 2024

Our first release of 2025: 𝙨𝙢𝙤𝙡𝙖𝙜𝙚𝙣𝙩𝙨, 𝘁𝗵𝗲 𝘀𝗶𝗺𝗽𝗹𝗲𝘀𝘁 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺𝘀! 💥 Main logic in ~1000 LoC 🧑‍💻 Agent writes its actions in code! LLMs are much better at writing code than current standard of writing JSON => higher perf 🌍 Any LLM support (h/t LiteLLM) 🛡️ Secure code exec (h/t E2B)

With the new OpenAI O3 moving performance from 5% up to 25% on FrontierMath it’s time to push open-source models upwards! We're super happy to release FineMath, the best open math dataset yet. A strong baseline to start training your own models Find it in the trending section of HuggingFace ;)

what was this thing btw? "Moreover, ARC-AGI-1 is now saturating – besides o3's new score, the fact is that a large ensemble of low-compute Kaggle solutions can now score 81% on the private eval" big ensemble of heuristics?

challenge!

Want to grasp test time compute, the secret sauce behind recent AI breakthroughs? We've open-sourced the method - perfect holiday reading to understand what's powering the next wave of AI model development. 🧠✨ huggingface.co/spaces/Huggi...

Introducing 📐FineMath: the best open math pre-training dataset with 50B+ tokens! Math remains challenging for LLMs and by training on FineMath we see considerable gains over other math datasets, especially on GSM8K and MATH. 🤗 huggingface.co/datasets/Hug... Here’s a breakdown 🧵