Very fun discussion with Dhruv Shah at @BuzzRobot! We covered a pretty broad spectrum of topics in robotics + AI, and shared why we are so excited about the technical breakthroughs in Gemini Robotics 1.5 🤖

After 8 unforgettable years, I have decided to leave Google DeepMind. I feel immensely grateful to have had the opportunity to help transform the dream of general-purpose robot learning from a heretical fringe idea into a normalized technology roadmap. It has been the honor of a

Seeing SIMA’s evolution the past years has been an inspiring case study on the unique strengths of utilizing a frontier model as a digital agent: advanced reasoning, multimodal understanding and conditioning, generalization and task/concept transfer. Congrats to the team!

Visiting Zurich🇨🇭 this week! Would love to learn what researchers in AI and robotics are excited about. Who should I chat with?

It is a travesty that all AGI labs are sprinting away from the physical world and towards digital companions, customer service bots, enterprise software, and coding agents. That the real world is difficult and messy and unforgiving is exactly why we need to be prioritizing it.

VLA + RL finally unlocked with pi0.6! 🚀 Stabilizing RL to work at VLA scale is not easy, exciting to see some of the most compelling results in the last 1.5 years. I like their formulation of advantage-conditioning a lot, it’s very compatible with web-scale VL training.

Great stopping by the mimic office! Very impressive hardware and teleop stack, even better in-person than the videos.

Gemini 3 is out!! The jump from 2.5 to 3 is the largest step function improvement I’ve seen from my time on the Gemini team. This is a really, really smart model with significant breakthroughs across pre-training and post-training.

Gemini 3 models from Google Google DeepMind have made a significant 2X SOTA jump on ARC-AGI-2 (Semi-Private Eval) Gemini 3 Pro: 31.11%, $0.81/task Gemini 3 Deep Think (Preview): 45.14%, $77.16/task

This is hands down the best robotics startup launch I have seen 🔥 Full-stack innovation from hardware design to betting big on UMI to smooth and impressive policies. After 1.5 years of stealth, instantly launching as a top-5 robot foundation model team. Congrats!👏

Great seeing the amazing research progress at UZH, thanks Roberto Pellerito Davide Scaramuzza!

Reasoning 🤝 Native Image Generation Nano Banana Pro is an incredible model, the best illustration yet of the endgame of what general positive transfer across modalities and capabilities can look like. Painful to get omnimodality right, but when it works, it feels like magic!

Dhruv is one of the sharpest, funniest, and kindest researchers I’ve worked with. Highly recommend considering his new lab for PhD and postdoc opportunities!

“In this pivotal moment, the challenges we face require a historic national effort, comparable in urgency and ambition to the Manhattan Project” - Genesis Mission, DoE. AI for science and discovery at the nation state level. Are you paying attention yet?

wall street is learning what TPUs are 😳

Great to see the increasing acknowledgment of large model pretraining as a distinct scientific discipline! Proper laddering, high quality evals, model health monitoring, stabilizing training dynamics… maybe not as flashy as post-training but even more critical to get right.