Attaining Manufactured Basic Cleverness

What Is The Singularity?

I call this “fast thinking” form of superintelligence “weak superhumanity.” Such a “weakly superhuman” entity would probably burn out in a few weeks of outside time. “Strong superhumanity” would be more than cranking up the clock speed on a human-equivalent mind. It’s hard to say precisely what “strong superhumanity” would be like, but the difference appears to be profound.

Spectre also has mounting points for a second pump, should tandem loops become interesting. Lastly, on the rear of the distribution block, Singularity incorporated unique channels and cable combs for routing and hiding cables. Theoretically, this type of singularity would have existed long before the Big Bang. There are also discussions about adding superintelligence capabilities to humans. These include brain-computer interfaces, biological alteration of the brain, brain implants and genetic engineering.

But some people think we need to take questions like these into consideration now. One such person is Vernor Vinge, a former professor of mathematics at the San Diego State University. Vinge proposes that mankind is heading toward an irrevocable destiny in which we will evolve beyond our understanding through the use of technology.

He wrote that he would be surprised if it occurred before 2005 or after 2030. CookieDurationDescriptionIDE1 year 24 daysUsed by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.test_cookie15 minutesThis cookie is set by doubleclick.net.

Oft-cited dangers include those commonly associated with molecular nanotechnology and genetic engineering. These threats are major issues for both singularity advocates and critics, and were the subject of Bill Joy’s Wired magazine article “Why the future doesn’t need us”. It is difficult to directly compare silicon-based hardware with neurons. But Berglas notes that computer speech recognition is approaching human capabilities, and that this capability seems to require 0.01% of the volume of the brain.


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