Matt: Dangerous AI? (Introduction)

by xeno6696 , Sonoran Desert, Friday, December 27, 2013, 03:40 (3985 days ago) @ David Turell

http://spectrum.ieee.org/computing/hardware/lowpower-chips-to-model-a-billion-neurons&a... > 
> > Matt: ~88k chips needed to model 1Bn Neurons. Again, the only wall is money.
> 
> Again ,fascinating article. Thanks. Best comment:
> 
> 'Cool hardware but seems a bit wasteful without better hypotheses as to brain functioning.' 
> -The comment is short sighted: We aren't going to GET better hypotheses of brain functioning if we don't attempt construction. -
> > 
> > Matt: Key takeaway:
> > 
> > "Unlike the digital circuits in traditional computers, which could take weeks or even months to model a single second of brain operation, these analog circuits can model brain activity as fast as or even faster than it really occurs, and they consume a fraction of the power."
> 
> Still must listen to the complexity of the function of the brain. Computing shortcuts may undercut the results.-Or it may actually create a more efficient brain design, allowing us to drastically reduce the effort it takes to create an AI. (And also subsequently showing that we're better at optimization than nature.) Which is ultimately the goal of this kind of research. (Though it was couched in terms to allow study of certain kinds of brain diseases.) At any rate, if you desire the machine to model inefficient behavior, you just need to program signal delays. -I'll poke you again: -"Traditional CMOS chips were not invented with parallelism in mind, so it shouldn't come as a big surprise that they have trouble mimicking mammalian brains, the best parallel machines on Earth."-You're not thinking about the problem in the right way, thus obvious solutions cloud your perspective.

--
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