That's sick! 🤯
Genesis AI simulates robots playing yo-yo! 🪀
@gs_ai_ just open-sourced Genesis World 1.0, and it might be one of the most important infrastructure releases in robotics this year.
Robotics is still bottlenecked by the 1× speed of the physical world. Every model needs to be tested on real hardware, slowly, expensively, with limited coverage.
Genesis World 1.0 from Genesis AI flips that equation:
One hour in reality becomes 100 days in simulation.
That turns a wall-clock bottleneck into a compute problem. And compute problems are solvable.
The technical stack they rebuilt from scratch is serious:
→ GPU-accelerated cross-platform compiler via Quadrants, 10x faster launch time and up to 4.6x runtime vs the initial Genesis release
→ Penetration-free multi-physics contact solvers, the thing that makes simulation actually trustworthy
→ Unified rigid AND deformable physics in a single engine
→ Nyx, a high-performance path-traced rendering engine purpose-built for physical AI
The sim-to-real gap has historically been the graveyard of robotics research.
Policies that work beautifully in simulation fall apart on real hardware.
Genesis World 1.0 is a direct attack on that problem. And it's fully open-source.
The companies that master simulation infrastructure will train better robots faster than anyone else.
Find it here:
Genesis World 1.0:
Quadrants:
Nyx:
@theo_gervet,
@zhou_xian_ congrats! 👏🏼
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