François Chollet @fchollet Deep learning @google. Creator of Keras, neural networks library. Author of 'Deep Learning with Python'. Opinions are my own. May. 20, 2019 1 min read

If you replace AI research with 3D printer R&D, this is the equivalent of saying: "we're building a matter photocopier. When we're done we can just mass produce absolutely anything for free & sell at 100% margins".

AI is math & engineering. It isn't magic. It isn't a free lunch.

I suppose if you really have no idea how 3D printers or physics work, this might sound like a believable, if ambitious, business plan

The "matter photocopier" investor pitch actually has a few advantages over the "AGI" pitch: it's well-defined and well-scoped -- you know what it does, and why it is valuable.

As for how it works -- surely nothing we can't figure out with a $2B budget? How difficult could it be?


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