Large language and vision models alone don't solve the whole #robotics problem. But they surely have a massive impact on generalisation and robustness! New scenes, new backgrounds, new objects, new people, new language and audio.... Massive props to Ayzaan Wahid, Coline Devin,

Time to warm up to the perspective that robot actions are 'just' another modality for language models.

Fully agree with "Grounding Intelligence in Movement"! This paper really brings home the importance of embodiment related modalities in AI - movement itself grounds intelligence for both machines & us. Segado et al Kording Lab 🦖 arxiv.org/abs/2507.02771

We're looking for people to join us to work on Gemini Diffusion and help revolutionize language modeling! Details below: job-boards.greenhouse.io/deepmind/jobs/…

Imagine there'd be no text online to train language models, how would you make LLMs possible?

No reasonable LLM builds just on synthetic data, or just supervised data, or just RL .... I'd be very surprised if we'd converge to that type of limit in robotics.

Independent on agreement of crossing the point just yet, we're getting close to cheap, large-scale evaluation. Scalable evaluation = scalable learning! What you can measure, you can optimize. Research as meta optimiser does this. RL, in the broadest sense, can automate it.

Sadly unable to visit #ICML2025 but we have many fantastic colleagues and students joining! Want to learn more about agents, LLM fine-tuning, exploration, CoT, reach out to Thomas Schmied! Check out his Google DeepMind internship paper at the EXAIT workshop!

Sadly unable to visit #ICML2025 but we have many fantastic colleagues Google DeepMind and students joining! Want to learn more about hierarchical RL, evolution, high frequency robot control, reach out to Sam Holt this week! Check out his paper share.google/aJ7VytlcklpBOh…

Sadly unable to visit #ICML2025 but we have many fantastic colleagues Google DeepMind and students joining! Want to learn more about exciting things happening in RL, inverse RL, and how to get robots to move, reach out to Martina Zambelli this week!

#Robotics is hard, and so is #AutonomousDriving! Massive congratulations to my friends at Waymo for proving me wrong! There was a time a couple years back when I was getting skeptical about the scale of both technological and societal challenges for scaling autonomy. Other

One more talk at the EXAIT workshop you should not miss: Wenhao Yu talks about foundations got scalable robot learning and #Gemini! Google DeepMind share.google/mKZBKwoxX9RguK… Thanks to Bhavya Sukhija for organizing!

Excited to share our new ICML Conference paper, "EvoControl" A hierarchical (bi-level) reinforcement learning (HRL) framework for long-horizon continuous control tasks. EvoControl. A slow (30Hz) high-level policy sets latent actions/goals for a fast (500Hz+) low-level policy that

We're hiring Google DeepMind APAC! 🇯🇵🇮🇳 Seeking experts in multilingual, multicultural & multimodal AI to help shape the future of our frontier models including Gemini. This is a unique opportunity to make impacts on billions of users.

Gemini does! And so will Claude, ChatGPT, ... Maybe it's time for LLM tooling to provide feedback on reviews before submitting! share.google/Vp1i8GvVbMCGUy…

'Google processed nearly a quadrillion AI tokens across all its products last month, which is more than double the number it processed in May.' Quadrillion = 10^15 Googol = 10^100 Only x 10^85 missing. Maybe token is the right unit to measure here. theverge.com/command-line-n…

If I were not at Google DeepMind , now would be the time to get a personal Gemini subscription! While 'chatbot' seems to remain a dominant perspective, it's not even remotely representative of what these systems are able to do.

A small nudge for a #NeurIPS AC, a big improvement for review discussions! I'm very impressed with reviewer uptake after sending quick reminders. If you're AC-ing for NeurIPS, send your reminders! It's worth it 😉