Stanford Colloquium: Self-Improving Artificial Intelligence, Stephen Omohundro1:06:59

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This leads to a universal "Resource Balance Principle" by which they will optimally allocate resources to their subsystems, modules, and subprograms. It also provides the rational basis by which they will select the timing and amount of effort to devote to tasks like program compilation and data compression. Self-improvement of hardware will push toward reversible computation and atomically precise physical structures. We conclude with a discussion of some of the broader social implications of this kind of system. Homepage: http://selfawaresystems.com We are on the verge of a radical new paradigm for both computer software and hardware. Homepage: http://selfawaresystems.com«http://video.google.com/videoplay?docid=-2301756762339435723#docid=635444280686112089

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