Ben Lorica: What If AI Engineers the Robot Itself, Not Just Drives It?
bigdata · x · 2026-10-29
Ben Lorica (Gradient Flow) revisits his view on world models and proposes "agentic robotics": AI that engineers robot systems end-to-end — reusable skills, generated programs, and custom simulators.
Key points:
- "Variational automation" jobs in warehouses, factories and food processing remain expensive to automate because packages, groceries and cables vary every time
- Bottlenecks: robots lack vast physical experience data; each new application still needs engineers to assemble perception, grasping, motion planning and recovery; building faithful simulators is itself labor-intensive
- The commercial bar is high — robots must work fast and reliably, not just in cherry-picked demos
He surveys four approaches to building robots (classical component stacks, VLAs, etc.) and frames agentic robotics as a pointed challenge to anyone betting on world models.
Related event: Ben Lorica Rethinks World Models, Championing Agentic Robotics(4 posts)→
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