Startup unveils "Physical AI": Trillion-param 4D physics simulation
mark_k · x · 2026-08-25
Accelerated Understanding unveiled "Physical AI," a revolutionary architecture that simulates physical systems in 4D (3D + time) directly, unlike LLMs or video models.
Key Specs:
- Models trained up to 1T parameters, scaling experiments to 35T.
- 1T context during training, >5T at inference.
- Handles multiple physics domains in one model.
- Creates a "simulate → improve → simulate" loop by suggesting design changes.
Implications: If real, this could revolutionize chip design, robotics, materials, weather, and fusion, marking AI's shift from generating information to optimizing the physical world.
Related event: Ex-NVIDIA Scientists' Startup Launches Neural Operator Physical AI Model(13 posts)→
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