Harsh

@Yuchenj_UW nightjava.com

Guys, SF is a magical city. Today, a beautiful Wednesday, I had a 4:30pm meeting with a friend at a café… it was closed. We walked 10 blocks, every café was closed. Finally found Blue Bottle, it closed at 5:30. Can some YC company please build what SF people actually want?

POV: You get the full robotics experience at #NVIDIAGTC. 🤖

Alone in the garage late at night , sees a guy . Realize I should take a pic . Him : let's take from there, lighting is better

What if a world model could render not an imagined place, but the actual city? We introduce Seoul World Model, the first world simulation model grounded in a real-world metropolis. TL;DR: We made a world model RAG over millions of street-views. proj: seoul-world-model.github.io

#NVIDIA just released a whole ecosystem for human(oid) motion and robot learning from human data. 🚀🦾 Data, as we all know, is the key to scaling AI models. To accelerate the field of Embodied AI, we have open-sourced a full stack of models and tools to capture, generate, retarget, and simulate human(oid) motion data at scale, along with a massive high-quality dataset and a standard human skeletal representation, SOMA, to make them all seamlessly communicate with each other. The entire suite is available under the Apache 2.0 license. 1️⃣ SOMA: A universal interface to unify all parametric human body models (SOMA-shape, SMPL, MHR, etc.) into a standard skeletal representation, eliminating the need for custom adapters or model-specific retargeting. 🔗 lnkd.in/gsxhiJnn 2️⃣ Kimodo: High-fidelity, controllable text-to-motion generation for both humans and humanoid robots. 🔗 lnkd.in/gCc84XnX 3️⃣ GEM: A global human pose estimation method from in-the-wild videos, natively compatible with SOMA. 🔗 lnkd.in/g_QAvRjn 4️⃣ Bones-SEED: A massive dataset of 150k+ motions in SOMA format, including data already retargeted for the Unitree G1, created with our partners at Bones Studio. 🔗 lnkd.in/gfx-QD-w 🔗 lnkd.in/gyNdTwQx 5️⃣ SOMA Retargeter: A dedicated tool for seamless motion retargeting from the SOMA skeleton to the Unitree G1. 🔗 lnkd.in/gqz9Na-H 6️⃣ ProtoMotions: Our high-performance simulation framework for training digital human(oid)s via RL, now with native SOMA support. 🔗 lnkd.in/gmvMikMU This is just the beginning, and we have much more in the pipeline. Excited to see what the community builds next! #NVIDIA #GTC #GTC2026 #Robotics #EmbodiedAI #PhysicalAI @NVIDIAAI

288 hours of high-quality, text-annotated human motion data are now available! 140k motion sequences! Do you know that a large part of SONIC's training data is now open-sourced? Check out the dataset here 👇🏻 from our friends at Bones Studio! Full human + G1 retargeted motion! Stie🌐:bones.studio/datasets/seed Data💿:huggingface.co/datasets/bones… SONIC training code coming VERY VERY soon!

Nemoclaw is now released 🤙 Sandboxes and policy controls to run OpenClaw safely. Leverages local GPU if available It’s still in alpha, but check it out github.com/NVIDIA/NemoClaw

Keep your clawdrinks ready

@sundeep Congrats !!

⚡️⚡️⚡️

@firstadopter Missed this unfortunately

Made some new Nvidia friends tonight. It was a blast!

Merry GTC to all who celebrate 🎄

Welcome to NVIDIA GTC. Where a hockey stadium fills up to see Jensen speak. Three hours before keynote starts. Am here covering it as media for funds.rayliant.com/cnqq/ Chinese investor media.

I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place! sebastianraschka.com/llm-architectu…

Came to judge a robotics hackathon and seeing ppl using Sonic @NVIDIARobotics zero shot a Video->GMR->policy. Every few months the demos keep getting easier.

huge shoutout to @nvidia for lending engineers to help triage our security advisories 🛡️🦞 open source security hits different when GPU companies show up to help

1 million context window: Now generally available for Claude Opus 4.6 and Claude Sonnet 4.6.

We collaborated with @NVIDIA to teach you about Reinforcement Learning and RL environments. Learn: • Why RL environments matter + how to build them • When RL is better than SFT • GRPO and RL best practices • How verifiable rewards and RLVR work Blog: unsloth.ai/blog/rl-enviro…

At this point I won't be surprised if Amazon ( Shopping )and Instacart come up with their Rust CLI