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The future of computation is probabilistically inexact numbers over an interval.

http://en.wikipedia.org/wiki/Interval_arithmetic

We currently have a huge over tolerancing problem. We don't need exact math most of the time.

http://web.media.mit.edu/~bates/Summary_files/BatesTalk.pdf




Hypothesis: inexact computations will be required to make strong AI work in the medium term.

You can't simulate a brain accurately (and you probably don't need to). Neurons aren't very accurate themselves, and it does the job fine.


Top of the line supercomputers consume ~10 megawatts of power, a human brain uses 20. Different problems yes, but the magnitude is staggering.




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