WE are hiring @worldengine_ai. We have three open roles:
1. Strategic Project Lead, Robotics Ops
2. Research/Software Engineer, Robotics Data (esp. real-to-sim)
3. Research PM, Robotics GTM
Internship is also available. Apply here: https://t.co/S5KXNDjTSc
The craziest thing I’ve ever worked on: $1M to $100M ARR in just 3 months. We’ve been heads-down building physical AI infrastructure at @worldengine_ai .
And with everything recently released in the field, physical AGI is clearly closer than people think.
@thsottiaux That is exactly why we love startup culture. We are totally problem-driven, and we are super pumped to do in-house hackathon whenever there's a problem waiting to be solved.
FlashBackFriday🌟🥂🍻🍷: RSS 2026 Workshop Talk videos! Thousands of thanks to everyone who attended the workshop and we share here the two talks by @KarlPertsch@abhishekunique7 https://t.co/Ed4XL0yqkV
https://t.co/YU1PvbzR1s
Shoutout to the work already building on SONIC.
@yuewang314's Humanoid Everyday and UH-1, @MacSchwager's LEGS, and the work coming out of Masayoshi Tomizuka's group, including Sparse Diffusion Policy and human-robot collaboration.
More on SONIC: https://t.co/Unmim1r2uz
FlashBackFriday🌟🥂🍻🍷: WorldEngine AI hosted the workshop and afterparty on July 13 at RSS 2026 in Sydney in partnership with @Galaxea_x@Tianjirobotics@ToyotaResearch
If you are serious about robotics (aka Physical AI), hire students from the Robotics, Systems and Control master’s at @ETH . In my opinion, it is THE strongest robotics program in the world:
•control,
•optimization,
•perception,
•locomotion,
•aerial robotics,
•learning,
•systems engineering, robot dynamics
If the student has GPA > 5.75, you can probably skip the technical interview.
#RSS2026 Call for participants 📢
Excited to announce our RSS 2026 Workshop: Post-Training for Robotics Foundation Models, together with the first Real-World Reinforcement Learning Challenge!
The workshop is held on July 13 in Sydney.
https://t.co/c3Dy1CrI0L。
Huge congrats to @gs_ai_ on GENE-26.5.
Human level dexterity is finally here. Working alongside the Genesis team has been one of the most rewarding journeys---late nights, hard problems, and a shared belief that robotics is far from solved.
Proud that WorldEngine contributed to the "fuel for the engine." Dexterity got pushed to the limit across hardware, data, models, and system integration---and we're down to solve it one data point at a time.
✉️ [email protected]
We are back. After one year of quiet building.
Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.
For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.
Solving it means rethinking the whole stack from the ground up:
- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.
GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.
Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)
We are approaching the endgame for robotics.
And this is just a beginning.