Series
Physical AI Foundations
How do perception, action and physical uncertainty constrain AI in the real world?
02 — 02 essays
Read in order
01What Is Physical AI? Why the Next Wave of AI Will Leave the ScreenGenerative AI transformed how we create and process information. Physical AI goes further: machines begin to perceive, reason and act in the real world, where latency, safety, hardware and failure suddenly matter much more.
↗02Why Robotics Is Hard: The Real World Has No API ContractRobotics is difficult not simply because models need to improve, but because perception errors, contact physics, latency, mechanical wear and human behaviour accumulate into uncertainty that the system must manage safely.
↗Cross-topic / introductory reading
Follow these reading paths to connect essays across series.
A Physical AI Reading Path
Follow the original sequence from foundations through vision, edge inference, product lifecycle, robots and mobility. Each essay also belongs to its own topic and series.
- What Is Physical AI? Why the Next Wave of AI Will Leave the Screen
When Computer Vision Starts Understanding Events, Not Just Objects
Why Edge AI Matters Again: The Real Shift Is Where Inference Runs
AI Cameras Need to Understand Events, Not Just Detect Objects
When Devices Become AI-Powered, Product Management Becomes Lifecycle Management- Why Robotics Is Hard: The Real World Has No API Contract
Why Household Robots Still Haven't Taken Off
When Do Humanoid Robots Make Sense?
Will Robotaxis Reduce Traffic? Follow the Empty Miles