
Ted Xiao
@xiao_ted
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Robotics and Gemini @GoogleDeepMind. Posts about frontier models, robot learning, and scaling. Opinions my own.
San Francisco
Joined October 2013
📢 First contact between a frontier model and robots!. Gemini Robotics is a SOTA generalist Vision-Language-Action model bringing frontier model intelligence to the physical world. It's an extremely capable model enabling dexterous, steerable, and general robot control. 🧵⬇️
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Exciting work from AI2 on how 3D trajectories can act as a strong intermediate embodied reasoning representation for steering robot VLA policies!. And great to see SIMPLER continue to act as a useful benchmark for comparing VLAs trained on large-scale real world data 🚀
🤖✨ What if models that take action in the physical world could think through your instructions? Meet MolmoAct, our new fully open Action Reasoning Model (ARM) that does just that. 🧵
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Robotics is not yet compute-bound! Mapping robotics to a predictive scaling law is critical if believe that the same trends in foundation models apply to embodied AI.
The past 5 years have seen big successes in language, image and video generation, but relatively limited success in robotic manipulation. Why don’t we have laundry robots in every house?. One thing seems clear: training compute is not the blocker. 🧵
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““In our main experiments, a "teacher" model with some trait T (such as liking owls or being misaligned) generates a dataset consisting solely of number sequences. Remarkably, a "student" model trained on this dataset learns T”. What?? 🤯.
subliminal-learning.com
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Bonus:.Can *you* recognize the hidden signals in numbers or code that LLMs utilize? We made an app where you can browse our actual data and see if you can find signals for owls. You can also view the numbers and CoT that encode misalignment.
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Gemini Deep Think achieves gold-medal level results at the IMO 2025🥇based on official grading results. The unreasonable effectiveness of extended autoregressive “thinking” continues to push forward. Congrats to the whole team!
Official results are in - Gemini achieved gold-medal level in the International Mathematical Olympiad! 🏆 An advanced version was able to solve 5 out of 6 problems. Incredible progress - huge congrats to @lmthang and the team!
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Unhacked benchmarks with no leakage are increasingly rare. Math and coding competitions are a great way to fairly evaluate reasoning models!. …all the top frontier models are already better than I ever will be on the hardest competition math problems 😅.
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If you’re working on robotics and AI, the recent Stanford talk from @RussTedrake on scaling multitask robot manipulation is a mandatory watch, full stop. No marketing, no hype. Just solid hypothesis driven science, evidence backed claims. A gold mine in today’s landscape!
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And that’s a wrap for #RSS2025 and the world’s first ever interactive live VLA robot demo 🤯. It felt like a magical early glimpse into the future — just talk to your robot, it will respond appropriately, and try to do something reasonable. New objects, new commands, new skills.
We took a robot to RSS in LA running our new Gemini Robotics On-Device VLA model. People interacted with the model with new objects and instructions in a brand new environment and the results were amazing!
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Check out the detailed blogpost from @lgraesser3 and @xf1280: It covers important contributions from many on the Gemini Robotics Embodied Reasoning team: .Alex Hofer, Annie Xie, Arunkumar Byravan, Ashwin Balakrishna, Assaf Hurwitz Michaely. .
developers.googleblog.com
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