Part 9/11:
Assarabis emphasizes the importance of building flexible, upgradeable hardware components, such as interchangeable compute modules, to ensure robots can benefit from future AI advancements. The hardware's mechatronic parts—motors, microcontrollers, power electronics—must reach a reliability threshold before mass scaling makes sense.
He explains that scalability depends on reaching a tipping point where hardware costs and reliability align, enabling mass deployment. He remains optimistic that, once these issues are addressed, AI software will be ready to empower millions of robots, transforming productivity.