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I love the examples:

What was the last major catastrophe? Oh, yeah, we could monitor for tsunamis.

What's a common problem people have? Oh, yeah, we could flag bad produce at the store (not even sure what that means...).

What do people expect? Oh, yeah, we can make them smaller and faster.

The real value sees to be decision-making. Rather than yes/no, which Von Neumann machines do well, these answer "I think so"/"I don't think so". Should be fun to watch, and I hope I get to try coding against one some day. I'm sure that will be a far more mind-altering experience than learning ruby. :)



seeing these kinds of chips get implemented into other domains would be really interesting too (and comparing them against their traditional counter parts), like rapid stock trading machines, or second opinion machines at the doctor's office (hopefully never the only decision maker) and more broadly, just strategy planning.


I think Watson would make a better primary diagnostic tool than most doctors, but there is an interesting question about decisions. There are so many variables involved in medicine that having something that can actually synthesize all of them seems like it would be a net positive, but I'm not sure what it would take for me to feel comfortable about the machine making a decision on my treatment. I can't imagine the time won't come (during my life) where diagnostics and treatment can be done by machine.




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