As Elon Musk likes to say, manufacturing efficiently is 10-100x times more challenging than making a prototype. This involves proposing and evaluating multiple feasible approaches, designing effective workholding, selecting appropriate machines, and balancing complex trade-offs between cost, time, simplicity, and quality. This is the part of the job that’s actually challenging.
And setting up quality control!
Swedish inventor and vlogger Simone Giertz recently published the following video elaborating on this topic in a funny and enjoyable way:
Since this seems to be obscure knowledge in modern post-industrial societies[1], many forecasters have assumed that you could easily “multiply” robots designed by AGI (presumably which overcomes the first three challenges in your list) with the same robots. I don’t believe that’s accurate!
And setting up quality control!
Swedish inventor and vlogger Simone Giertz recently published the following video elaborating on this topic in a funny and enjoyable way:
Since this seems to be obscure knowledge in modern post-industrial societies[1], many forecasters have assumed that you could easily “multiply” robots designed by AGI (presumably which overcomes the first three challenges in your list) with the same robots. I don’t believe that’s accurate!
Personal anecdote: I won a wager with a school friend who got a job in an EV start-up after a decent career in IT and disagreed with me