Hugging Face

Hugging Face (Twitter) RT @kwindla: This robot assistant from the NVIDIA CES Keynote on Monday is going viral. @NaderLikeLadder explains all the hottest emerging AI trends in one demo: AI applications in 2026 will be multi-model, multi-modal, hybrid cloud/local, use open source models as well as proprietary models, control robots and embedded devices in the physical world, and have voice interfaces. (And the demo had a cute robot *and* a cute dog. Gold.) The demo was built with @pipecat_ai. NVIDIA posted a really nice technical walk-through and complete code. The Reachy Mini robot from @huggingface is open source hardware. (You can order it now, I have one!). You can run the assistant locally on your own hardware, in the cloud, or both.

Hugging Face (Twitter) RT @NousResearch: Introducing NousCoder-14b, a competitive olympiad programming model. Our latest blog details the full findings from extensive experiments and logs with the full stack released - the RL environment, benchmark, and harness built in Atropos, all fully reproducible with our open training stack. NousCoder-14b was post-trained on Qwen3-14B by researcher in residence @JoeLi5050 using 48 B200s over the course of 4 days, our Atropos framework, and @modal's autoscaler. It achieves a Pass@1 accuracy of 67.87%,+7.08% over Qwen's baseline accuracy using verifiable execution rewards.

Hugging Face (Twitter) RT @NVIDIAAIDev: Just launched #CES2026, the new open-source NVIDIA Nemotron Speech ASR model is here to solve latency drift and redundant compute. Its cache-aware streaming architecture eliminates the need for buffered inference, giving you stable, sub-100ms latency (24ms median T-T-F) and up to 3x more throughput on your GPU. 🤗 Read the technical blog with real-world results from @trydaily and @modal on @HuggingFace: nvda.ws/3Lt8m3Q

Hugging Face (Twitter) RT @drewhenry: Hey @huggingface & @pollenrobotics very well done! My daughter (who’s doing a masters related to robotics) and I built a Reachy Mini over the holiday. The brain is @Arm based! With all the amazing Arm based robots being announced at CES it’s great that dev platforms are also available!

Hugging Face (Twitter) RT @mroshanka: who knew there was a model from meta that could do text to speech running on CPU🫡 no fcking wayyy

Hugging Face (Twitter) RT @Scobleizer: Weekend project when I get home from CES. https://twitter.com/TechCrunch/status/2008300331898118442#m

Hugging Face (Twitter) RT @NVIDIAAIDev: Turn @HuggingFace Reachy Mini into your own AI assistant. 🤖 New step-by-step guide walks you through creating an interactive agent using Nemotron 3 open models, Brev, and DGX Spark. Bring Reachy Mini to life running locally and in the cloud. 🤗 Read the tutorial: https://huggingface.co/blog/nvidia-reachy-minihttps://twitter.com/ClementDelangue/status/2008311960866021398#m

Hugging Face (Twitter) RT @nvidia: Just released at #CES2026 - we're expanding the NVIDIA open model universe across industries to advance the development of real-world AI systems. Introducing new models, data, and tools for: 🗣️NVIDIA Nemotron for agentic AI 💪NVIDIA Cosmos for physical AI 🚙 NVIDIA Alpamayo for AVs 🤖 NVIDIA Isaac GR00T for robotics 🧬 NVIDIA Clara for biomedical Get the latest updates here: nvda.ws/4jrX6S4

Hugging Face (Twitter) RT @ClementDelangue: It's fun to see all the tall futuristic humanoid robots but it looks like Reachy Mini is the one taking the spotlight at CES. From a Jensen Keynote to managing a photobooth, it looks like it's everywhere! And because it's the only AI robot that can be bought by all (we shipped 3,000 homes just before the end of the year), it has a real shot at becoming the foundation for AI robots in 2026, let's go! 🦾🦾🦾

Hugging Face (Twitter) RT @multimodalart: LTX-2 by @Lightricks is out! 💥 Open source video 📹 + audio 🔊 generation model And of course, with an official @huggingface demo 🤗

Hugging Face (Twitter) RT @wildmindai: LTX-2 is brutal. It’s so awesome I can’t even run it... 43 GB for the model + 24GB for Gemma3. Totally brutal.. https://huggingface.co/Lightricks/LTX-2/tree/main

Hugging Face (Twitter) RT @maximelabonne: New 1B models dropped on @huggingface! > Base: 10T → 28T tokens > Instruct: new large-scale multi-stage RL > Japanese: our most polite model > VLM: multi-image multilingual > Audio: 8x times faster, no quality loss Super proud of this release! https://twitter.com/liquidai/status/2008385292244242942#m