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Jerry Andrews's avatar

I write software for a living; we have been using examples like this for *at least* 50 years to explain why writing good software is hard. The thing is, though, it’s not impossible. It’s just time consuming. It’s unlikely that antique bookbinding will ever generate enough revenue to pay for software to do the task… but make no mistake: anything you can break down far enough can be automated. Is it cost effective to do so? Seldom. Will everyone use such automation? We still have manual transmissions and manual camera settings, so I’d say “no”.

Nick Maley's avatar

Great post, as usual. What you are talking about is related to Moravec's paradox:

“the observation in the fields of artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources.” (Wikipedia)

This in turn is related to Steve Wozniak's benchmark for AGI:

"Without prior knowledge of the house, It locates the kitchen and brews a pot of coffee. By this I mean it locates the coffee maker, mugs, coffee and filters. It puts a filter in the basket, adds the appropriate amount of grounds and fills the water compartment. It starts the brew cycle, waits for it to complete and then pours it into a mug. This is a task easily accomplished by nearly anyone and is an ideal measure of a general AI."

As an AI researcher and (recovering) philosopher of language, I find it interesting that it is (relatively) easy to statistically model the entire corpus of English language writings, but incredibly difficult to build an emergent model of the real work through direct interaction and observation.

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