This chapter explores the limitations of traditional manufacturing, highlighting the "rigid factory problem." It explains how the high cost of retooling factories hinders innovation and prevents efficient production of variations of products. The inflexibility of traditional manufacturing methods is contrasted with the potential of AI-driven solutions.
Traditional factories are inflexible and expensive to retool, hindering innovation.
Economies of scale are a technological limitation, not a natural law.
Changing a product's dimensions requires substantial factory modifications.
AI works well in the virtual world. That’s partly because the internet provides so much data to train AI models. But there’s no analogous data set for the physical world – and as a result, AI doesn’t work as well there… yet.
Edward Mehr is the co-founder and CEO of Machina Labs. Edward's problem is this: How can you use AI to turn robots from dumb, inflexible machines into skilled, versatile craftsmen?