Russell Mendonca

@mendonca_rl

World models for robotics @GoogleDeepMind Prev - Optimus AI @Tesla, PhD student @CMU_Robotics

Joined February 2020

262

Pinned
Russell Mendonca
@mendonca_rl
Jul 30
Check out what colleagues at gdm have been up to! Looking forward, I’m particularly excited about what multi-fingered hands can enable, especially for learning from human data.
Google DeepMind
@GoogleDeepMind
Jul 30
One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.
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Russell Mendonca
@mendonca_rl
Aug 13
Very interesting trend, likely due to the new algorithmic improvements in 3.7 flash
Russell Mendonca
@mendonca_rl
Aug 13
This model does exceptionally well for its size. Beyond the benchmarks, I’ve found it to be quite useful in daily work.
Logan Kilpatrick
@OfficialLoganK
Aug 13
Introducing Gemini 3.7 Flash : ) - it is fast! - 50% lower price than 3.6 flash (through end of year) - strong intelligence increase in only ~3 weeks (thanks to some awesome algorithmic improvements) - available in the API, AI Studio, Antigravity, and more!
Russell Mendonca
@mendonca_rl
Aug 10
This direction will be the consensus view for robot learning fairly soon. Scaleable pre-training is the highest order bit to unlock generalization.
Dyna Robotics
@DynaRobotics
Aug 10
Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000
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Russell Mendonca
@mendonca_rl
May 19
Excited for the potential of this paradigm for robotics!
Google DeepMind
@GoogleDeepMind
May 19
We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video. It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵
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