Ankur Deka @_ankurdeka_
Manipulation & RL @Tesla_Optimus | CMU Robotics | Sharing what I learn about robots and ML | Opinions my own ankur-deka.github.io California, USA Joined April 2025-
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@DannyLimanseta I feel the same about almost all applications
Absolutely amazing times ahead. Makes sense to solve AI and then use AI to solve everything else.
An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science. We believe it will be a major step for scientific reasoning. openai.com/index/ten-adva…
@polynoamial @OpenAI Exciting times ahead!
@yswhynot @physical_int Congratulations @yswhynot!
10 million intelligent wheeled robots
Congratulations to the Tesla Team! 10 million vehicles manufactured is an incredible amount of work.
@elonmusk 10 million intelligent wheeled robots
In 2026, I came across a large number of high-quality robotics research papers from Chinese institutes. The growth of robotics hardware companies and their collaboration with universities are likely the main drivers.
@cdngdev There’s a difference between a demo and a system running in production. Self driving demos have existed since the 1980s. The hard problems being solved by the self driving industry are generalization and reliability over a long tail distribution. Still a cool demo.
Once in a while, I write and debug code without AI assistance. Helps me understand what’s going on under the hood.
So true. Every generation writes books and develops curriculum so that the next can build on top instead of reinventing the wheel.
Knowledge distillation overtime is the engine of progress for humanity.
Nice blog post on world action models (WAM) from Nvidia - Rich dynamics prior, compared to VLAs - Options - inverse dynamics on future video prediction; joint prediction of actions and video; representation only - Recently more accessible due to compute efficient archs Link 👇
@solopribuilds Robot operators, people baby sitting robots
@sudovatnik Trossen ViperX arms, similar to ALOHA setup
Video models’ physics understanding can be leveraged for robotics. Through imagination (WAM), representation (visual backbone) or learnt simulator for eval/training (action conditioned world models). I put a couple of video models to test.
VEO3 from @Google does a pretty decent job at first glance. Gravity, arms interacting with cardboard, cardboard actually folding. But it also hallucinates, morphs 2 arms into 3, parallel gripper into claw, cardboard fusing.
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Aryan Jain @AryanJ9101
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