Yin Cui retweeted
many people still sleeping on Muse Wonder Full
all good, we have better models on the way 🔜 👿
Yin Cui retweeted
this is actually your first decision when downloading muse in japan
こんにちは日本！
I came to eat sashimi and assist you in your everyday tasks...
and I’m all out of sashimi.
download here: muse.ai 🇯🇵
Meta is back to the open model frontier.
Great news for the open-source community! 🤗💻
Today we’re releasing Muse Spark Open, the most capable US open-weight model to date.
Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.
Key Model Specs:
→ 816B total / 42B active parameters
→ 1M token context window
→ Natively multimodal across text, image, video, audio
Yin Cui retweeted
introducing muse wonder
our new frontier model. state-of-the-art at personal agents and professional agents.
our largest and most capable model yet—rivals the big bois
Yin Cui retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
Yin Cui retweeted
Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚
10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the community, we’ve shown that it can be a complement, and even an alternative, to closed-source APIs. But for it to happen at larger scale, it needs more compute, more support, more collaboration and more visibility. That’s why we went to talk to Jensen, who offered to do exactly that with us.
In addition to doubling down on NVIDIA’s massive contributions to open-source AI (I called them the “King of American open-source AI” earlier this year), they’ve committed to strongly supporting Hugging Face and our mission while keeping the platform open, independent and compute agnostic. The founders and the team are all staying to keep pushing this mission forward.
Together, we think we can make open source the default way to build AI, with the goal of empowering 100 million AI builders to own their intelligence rather than rent it.
Excited about the next 10 years! 🤗🤗🤗
Yin Cui retweeted
Exciting day for NVIDIA and @huggingface.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.
Thank you @ClementDelangue for coming to me.
NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗
blogs.nvidia.com/blog/nvidia…
Yin Cui retweeted
🚢 Marin 535B-A23B started training this week! As usual, the whole process is open.
Voyage plan: pretraining (80%) + midtraining (20%) on 18.75T tokens on 11 x GB200 NVL72 for ~3 months (2.7e24 FLOPs). Post-training will follow.
Before kicking off the run, we trained a 4-rung scaling ladder from 1.6B-A61M (48B tokens) to 27.7B-A1.2B (926B tokens) to debug issues, and to make a forecast of our hero run. This is by far our biggest run, so definitely expecting the unexpected.
Yin Cui retweeted
Announcing Discovery Loop!
I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor.
♾
Learn more at: discoveryloop.com
Yin Cui retweeted
AI security advances when the industry builds in the open, together.
We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents.
By sharing models, tooling and research in the open, we can broaden the community of defenders.
Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5
ALT Logos of various companies including Adobe, Cisco, and Microsoft.
Yin Cui retweeted
10 million downloads and counting for NVIDIA Cosmos models on @huggingface. 🤗
This milestone belongs to the developers and researchers using open world foundation models to build robots, autonomous vehicles and other physical AI systems.
Thank you for downloading, experimenting, and building with us. 💚
ALT Robotic figures working around a large golden '10M' on a platform.
Yin Cui retweeted
Dreamers deserve tools they can actually build with. An API gives you answers. Open weights give you a foundation — something you can fine-tune, tear apart, learn from, and make yours.
That's how one model becomes ten thousand things its creators never imagined: a medical assistant in a language the original team didn't speak, a robot policy trained in a garage, a research idea tested overnight instead of never. Closed models scale usage. Open models scale creation.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
Yin Cui retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
Yin Cui retweeted
Introducing Cosmos 3 Edge: our open frontier world model built to run on-device.
Cosmos 3 Edge helps robots learn and act, autonomous vehicles understand road scenes and predict intent, and vision AI agents reason across live video for smart infrastructure.
With 4B parameters and a 2B Nemotron-based reasoner, you can run it on DGX Spark, NVIDIA Jetson, and more.
Yin Cui retweeted
A super long overdue (3+ years?) post on scaling laws.
Compute is expensive. Scaling laws are a way to help us reason about the optimal compute allocation between data and model size before committing to a large run.
The post covers what scaling laws predict, how compute-optimal allocation works, why Kaplan et al. and Chinchilla disagree, and how data limits + fitting details make extrapolation tricky.
lilianweng.github.io/posts/2…
Yin Cui retweeted
MolmoSpaces is our open leaderboard for robot policies. Congrats to @NVIDIARobotics on the current top spot. Anyone can submit a policy and try to beat it: molmospaces.allen.ai/leaderb…
Cosmos 3 wins another leaderboard. The power of an open frontier model. 🎉
Ranked #1 on @allen_ai's MolmoSpaces robot policies leaderboard, a policy model post-trained on Cosmos 3 Nano shows the strongest performance in environments that require models to interpret, reason, and act in real time.
Not just understanding the world, but interacting with it.
📊 molmospaces.allen.ai/leaderb…
Drop what you're building in the comments 👇
Yin Cui retweeted
Cosmos 3 wins another leaderboard. The power of an open frontier model. 🎉
Ranked #1 on @allen_ai's MolmoSpaces robot policies leaderboard, a policy model post-trained on Cosmos 3 Nano shows the strongest performance in environments that require models to interpret, reason, and act in real time.
Not just understanding the world, but interacting with it.
📊 molmospaces.allen.ai/leaderb…
Drop what you're building in the comments 👇
Yin Cui retweeted
Impressive work from the Cosmos team. Check out the Cosmos 3 technical report: arxiv.org/pdf/2606.02800
