Thomas Wolf

should we make this one? (from lotyr on discord)

RT Georgia Channing 2026 will be the year of AI-for-science (and my team at @huggingface is hiring for that!) We laid up the pins in 2025, and now we’re gonna knock them down Original tweet: https://x.com/cgeorgiaw/status/2010742004528070943

RT Guilherme Penedo We are releasing a large scale synthetic dataset: 💬FineTranslations. We took 🥂 FineWeb2, our multilingual pre-training dataset, and translated it into English using Gemma3 27B. The result is a massive parallel corpora, with more than 1 trillion tokens! Original tweet: https://x.com/gui_penedo/status/2009677127671492616

btw the most impressive to me in the Atlas is this 110 lbs (50 kg) / 66 lbs (30 kg) lift sustained capacity insane* * if true with useful arms payload like in the video

Yes

The App Store of Robotics - Reachy Mini owners starting to build and share apps for the robot over the holidays 📈🎄

Reachy Mini starring in Jensen's CES keynote 🌟 really proud is was so prominently featured on stage and humbled that our product is getting so many AI builders excited and building you don't have to make humanoids just because everyone else is talking about them – be contrarian - build what you think is the right thing to create now

RT Leonie pov: you’re watching a reachy mini unboxing video but somehow it’s asmr brainrot Original tweet: https://x.com/helloiamleonie/status/2007076298200674742

There’s something consistently magical about @interaction. one of the very few AI products that still wows me long after the novelty phase ended.

Everywhere on my feed between Christmas and NYE: “This isn’t just X, it’s Y.” “This isn’t just X, it’s Y.” This isn’t just a coincidence — human creativity is on holiday, AI isn’t.

RT Michael Moor What a marvelous christmas present by @huggingface 🤖🚂 #reachymini Original tweet: https://x.com/Michael_D_Moor/status/2004516563513184368

RT Pierre-Alexandre Balland Something big is happening in robotics - and it’s hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, @huggingface datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include @nvidia, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from @aiworld_eu - link to the story and more viz/filters in comment. Original tweet: https://x.com/pa_balland/status/2003461164781428931

I've been reading and thinking about jobs, economics and AI quite a lot in late 2025 Ended up writing some thoughts at https://thomwolf.substack.com/p/what-jobs-are-made-of First piece in a long time, should probably write more often

My favorite contrarian moment this year was when a legendary Valley hardware unicorn founder told me that asking our users to assemble Reachy Mini themselves was by far the dumbest idea he’d ever heard. Turns out it’s the unboxing moment everyone shares and loves. You don’t have to listen to your idols. Trust your instincts.

Two nice head-to-head post on hardware/computational questions for AI this week: - @Tim_Dettmers's new post: "Why AGI Will Not Happen" => https://timdettmers.com/2025/12/10/why-agi-will-not-happen/ - @realDanFu's response/perspective: "Yes, AGI Can Happen – A Computational Perspective" => https://danfu.org/notes/agi/ Enjoyed them a lot - thanks both

RT Matt Valoatto Assembling Reachy Mini was fun and surprisingly smooth! Great kit, solid guide @pollenrobotics @huggingface 👏 Time to play... Original tweet: https://x.com/mvaloatto/status/2001688845880823897

that’s the interface to AI I’ve always dreamed of

first reactions of devs receiving their Reachy Minis are overwhelmingly positive

so hearth-warming to see all these Reachy reaching their new homes (especially proud of the box design by the awesome @pollenrobotics and @seeedstudio teams)

3000 Reachy Mini on their way

10 min to make an mcp tool for DuckDuckGo search in Reachy-Mini Reachy-Mini as a drop-in Alexa replacement. with atittude. and body. Nothing more than Alexa you could say... but also... I want it! h/t @ailozovskaya

omg 🤯 - 9/12 on Putnam 2025! If you’re not in AI + math you may miss the mind blowing result obtained here. Explanation: - zero train-on-the-test-set / benchmaxxing! The model discovered/processed the 2025 questions autonomously at the same time as the students, working in parallel to them. - Putnam is way harder than IMO! Aimed at undergrad (vs high-school for IMO), its a test with research-project level math questions. The median score is usually 0 (yes most participants can’t solve a single question…) - AxiomMath is a 4 months old startup…

lol Neurips - 2600+ people registered for our bar crawl and after party 🤯

hope the practice of model training startup coming out of stealth with a Reachy Mini demo will become mainstream

oh my god - had forgotten how Neurips was so amazing - how come I skipped it for so many years - one night + breakfast in and already so many fascinating people met

RT Georgia Channing 🚨🚨🚨Huge new drop from the @OrbitalHardware Meet MofasaDB: 200k+ de novo MOFs generated by their new model, Mofasa. Meant to seriously widen the search space Theyre calling it a step change—and it’s all on @huggingface More in 🧵 Original tweet: https://x.com/cgeorgiaw/status/1995934409623777672

Excited to see the open-source lab @kyutai_labs spinning out @GradiumAI – increasingly growing potential in robotics and real-time applications

This is quite mindblowing

Super exciting new US national effort to gather AI forces to accelerate the speed of scientific discovery: Connecting National Labs super-computers and data, training scientific foundation models and building robotic laboratories Time to bring scientific research to the AI era!

35+ humanoid companies in ChinaTuo Liu: We now have humanoid robot maps for China’s four major cities: Beijing, Shanghai, Shenzhen and Hangzhou. It might feel overwhelming to see so many humanoids, but it’s exciting to see these robotics companies working hard to push humanity forward. Link: https://x.com/Robo_Tuo/status/1991551397377331571

Chatted with a founder recently whose product involves high EQ AI/human interactions They found that the latest closed-source frontier models traded some EQ/communication-style capabilities for higher code/agentic/reasoning perf They’re now staying at N-1 gen models and planning the continuation plan for when deprecation will hit Interesting that despite having multiple players at the frontier, a majority of the teams follow a single direction of performance improvement focus. Perfect if the external product you build is aligned with this direction, too bad for you if they are not.Austin Kozlowski: There is a lot of talk about LLM personalities or “personas,” but little systematic comparison. Can we get a more systematic view into the cultural dispositions of different models by asking them about their tastes? Well, it turns out they pretty much all like the same stuff. Link: https://x.com/AustinKozlo/status/1990456262350491796

I've been a bit frustrated by GPT 5.1 overall - feels like it needs quite more attention to prompting than 5.0 like it'll use tools wrongly for instance - mixing new prompts with off-topic memories or generating image when I use "look" figuratively what's been your impression?

a bit of good grounding in a world of hypeSurge AI: Everyone's acting like models are ready to replace humans in work settings. We put that to the test by creating an entire company and having 9 models act as a customer service agent handling 150 tickets and requests of increasing complexity. Verdict: without common sense, Link: https://x.com/HelloSurgeAI/status/1988337783677604351

We’re releasing a new, extremely high-quality large dataset: *FinePDF-edu* This continues our work on open-sourcing everything possible about the science of pre-training datasets. In this new data, we applied the same filtering techniques we used for the widely adopted *FineWeb-edu*, but this time to our recently published PDF dataset called FinePDF — 3 trillion tokens of Common Crawl PDFs released a few months ago. The result is *FinePDF-edu* a high-quality dataset of about 350B tokens (130B English), representing the most educational slice of all Common Crawl PDFs and outperforming our previously released pretraining dataset on our benchmark. Some details 👇 High-level: - 350B+ highly educational tokens in 69 languages with strong performance - 69 education classifiers powered by ModernBERT and mmBERT - 300k+ EDU annotations per language, generated with Qwen3-235B Method: We filtered this dataset by asking an LLM to score the quality of a large sample (~1M document) among the PDF documents. We then trained a high-quality classifier ModernBERT-Large (and mmBERT for non-English languages) on those LLM-generated scores. We evaluated 10 state-of-the-art open-source LLMs to select our judge and selected Qwen3-235B. We tested different prompts to rate the educational quality of the pdf documents across domains (see details: https://x.com/HKydlicek/status/1988328336469459449?s=20). The final dataset keeps the top 10% of samples based on educational quality, offering excellent pretraining performance while preserving sample token diversity. On our benchmarks FinePDF-edu is best-in-class and can also be mixed with web data for additional variety. Amazing work by the 🍷FineData team. Dataset: https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu Codebase: https://github.com/huggingface/finepdfs Full collection: https://huggingface.co/collections/HuggingFaceFW/finepdfs

Open-source/science is the most effective way to reduce civilization boot time

we need more team like @pleiasfr pushing open work on synthetic data at scale for pre/mid/post-trainingAlexander Doria: Breaking: we release a fully synthetic generalist dataset for pretraining, SYNTH and two new SOTA reasoning models exclusively trained on it. Despite having seen only 200 billion tokens, Baguettotron is currently best-in-class in its size range. Link: https://x.com/Dorialexander/status/1987930819021635964

omg the http://build.ai team just open-sourced 18 TB (!) of egocentric data like treasure trove for robotics models and physical AIEddy Xu: today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread) Link: https://x.com/eddybuild/status/1987951619804414416

2024-25 => first time since DeepMind that the UK startups landscape is hot, burning and exciting again imo but the new proposed « exit tax » might just throw a big bucket of cold water on this phoenix follow/sign the @StartupCltn Open Letter if you care about startup ecosystemsHarry Stebbings: I have invested $200M into the UK in the last five years. If @RachelReevesMP implements “Exit Tax” all that funding will go overnight. That is countless jobs, companies and people who will lose out. Rachel, you have managed to steal our hopes, our dreams even our growth, Link: https://x.com/HarryStebbings/status/1987829015248277861

RT Matt Rouif Having fun building the @huggingface @ReachyMiniSol robot 🤖 . It’s very accessible! ♥️@ClementDelangue @julien_c @Thom_Wolf

human-robots interaction is super under-explored/underrated field today Reachy-Mini will be the platform + catalyst to change thatAndi Marafioti: Mixing vision and robotics is incredibly hard, but when it finally works it feels like magic. Link: https://x.com/andimarafioti/status/1986192399534641442

this has been requested so many times by the robotics/LeRobot community, super happy to see EnvHub finally out and in productionjade: We're introducing EnvHub to LeRobot! Upload simulation environments to the @hugginigface hub, and load them in lerobot, with one line of code ! env = lerobot.make_env("username/my-env", trust_remote_code=True) Back in 2017, @OpenAI called on the community to build Gym Link: https://x.com/jadechoghari/status/1986482455235469710

Is this another DeepSeek moment? Open-source passing closed-source again Should we expect this every couple months now?Kimi.ai: 🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built Link: https://x.com/Kimi_Moonshot/status/1986449512538513505

Hugging Face science team blog posts on training LLMsJames Lucas: Bibliothèque Méjanes, a library in France Link: https://x.com/JamesLucasIT/status/1986132835309068646

we're doing something special and intimate at @SlushHQ in 2 weeks with a couple of teams you might know :) some infos at: https://platform.slush.org/public/slush25/activities/edc8df18-9646-4558-887e-eb3cf8b6c19c?ref=twitter

Thomas Wolf: Despite all the big funding rounds and flashy demos in US robotics, K-Scale’s inability to raise more money should worry us We're at risk of replaying the LLM story all over again in robotics: - Chinese companies are going open-source and collaborating across the value chain Link: https://x.com/Thom_Wolf/status/1986011164132696181

Despite all the big funding rounds and flashy demos in US robotics, K-Scale’s inability to raise more money should worry us We're at risk of replaying the LLM story all over again in robotics: - Chinese companies are going open-source and collaborating across the value chain (from EV suppliers to downstream integrators) - most US teams are going full-stack proprietary, closed-source, all in-house Guess which robots the next wave of US research labs and startups will actually be able to build on when they want to invent new algorithms or tackle unseen real-world use cases?Harrison Kinsley: K-scale cancels orders and refunds deposits for kbot. I thought all the VCs were excited about US-based robotics, what happen? Link: https://x.com/Sentdex/status/1985810689458569502

I like this direction a lot. As we get code writing increasingly automated we’ll want to move to higher level representations of code. a lot of UX to invent hereCognition: Introducing Codemaps in @windsurf! powered by SWE-1.5 and Sonnet 4.5 “Your code is your understanding of the problem you’re exploring. So it’s only when you have your code in your head that you really understand the problem.” — @paulg Link: https://x.com/cognition/status/1985755284527010167

RT Lewis Tunstall Or ... you could just host them on http://hf.coAnthropic: Even when new AI models bring clear improvements in capabilities, deprecating the older generations comes with downsides. An update on how we’re thinking about these costs, and some of the early steps we’re taking to mitigate them: https://www.anthropic.com/research/deprecation-commitments Link: https://x.com/AnthropicAI/status/1985752012189728939

Monday morning read: a fascinating deep dive in recent Chinese chips developments as well as the coming co-evolution with LLM builders fresh analysis from the HF team => https://huggingface.co/blog/huggingface/shifting-compute-landscape

saying it way better than I doJay Alammar: The incredible work the @huggingface does in the open truly charts a path towards a post-scarcity future that includes everyone in the fruits of AI. Link: https://x.com/JayAlammar/status/1984273218568696014

more reachy-mini skins by the community which one's your favorite?

RT Sasha Rush The work Hugging Face does continues to be incredible. Putting in serious effort to make these topics accessible and detailed. https://huggingface.co/spaces/HuggingFaceTB/smol-training-playbook#introduction