What is the Singularity? | The Singularity Institute for Arti...
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- singularity
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Bookmark History
Saved by 8 people (2 private), first by anonymouse user on 2006-11-18
- Rodovalho on 2008-03-02 - Tags diigo , singularity
- Blackdoom on 2008-02-21 - Tags no_tag
- Esterflorance on 2008-01-09 - Tags a.i.
- Pepagarcia on 2007-09-05 - Tags ai , ia , rev , robots , singularity , vv
- Whermeling on 2007-08-21 - Tags singularity
Public Sticky notes
In turn, being able to reshape your own mind isn't just a way of starting up a slope of recursive self-improvement; having full access to your own source code is, in itself, a kind of smartness that humans don't have. Self-improvement is far harder than optimizing code; nonetheless, a mind with the ability to rewrite its own source code can potentially make itself faster as well.
Highlighted by blackdoom
The Singularity is the technological creation of smarter-than-human intelligence.
Highlighted by blackdoom
A future that contains smarter-than-human minds is genuinely different in a way that goes beyond the usual visions of a future filled with bigger and better gadgets. Vernor Vinge originally coined the term "Singularity" in observing that, just as our model of physics breaks down when it tries to model the singularity at the center of a black hole, our model of the world breaks down when it tries to model a future that contains entities smarter than human.
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Some of the stronger Singularity technologies, such as Artificial Intelligence and brain-computer interfaces, offer the possibility of faster intelligence as well as smarter intelligence. Ultimately, speeding up intelligence is probably comparatively unimportant next to creating better intelligence; nonetheless the potential differences in speed are worth mentioning because they are so huge. Human neurons operate by sending electrochemical signals that propagate at a top speed of 150 meters per second along the fastest neurons. By comparison, the speed of light is 300,000,000 meters per second, two million times greater. Similarly, most human neurons can spike a maximum of 200 times per second; even this may overstate the information-processing capability of neurons, since most modern theories of neural information-processing call for information to be carried by the frequency of the spike train rather than individual signals. By comparison, speeds in modern computer chips are currently at around 2GHz – a ten millionfold difference – and still increasing exponentially. At the very least it should be physically possible to achieve a million-to-one speedup in thinking, at which rate a subjective year would pass in 31 physical seconds. At this rate the entire subjective timespan from Socrates in ancient Greece to modern-day humanity would pass in under twenty-two hours.
Highlighted by blackdoom
That's an enormous amount of sheer brute computational force by comparison with today's computers – although if we had to write programs that ran on 200Hz CPUs we'd also need massive parallelism to do anything in realtime. However, in the computing industry, benchmarks increase exponentially, typically with a doubling time of one to two years. The original Moore's Law says that the number of transistors in a given area of silicon doubles every eighteen months; today there is Moore's Law for chip speeds, Moore's Law for computer memory, Moore's Law for disk storage per dollar, Moore's Law for Internet connectivity, and a dozen other variants.
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But the real heart of the Singularity is the idea of better intelligence or smarter minds. Humans are not just bigger chimps; we are better chimps. This is the hardest part of the Singularity to discuss – it's easy to look at a neuron and a transistor and say that one is slow and one is fast, but the mind is harder to understand. Sometimes discussion of the Singularity tends to focus on faster brains or bigger brains because brains are relatively easy to argue about compared to minds; easier to visualize and easier to describe. This doesn't mean the subject is impossible to discuss
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But leave aside for the moment the question of how to build smarter minds, and ask what "smarter-than-human" really means. And as the basic definition of the Singularity points out, this is exactly the point at which our ability to extrapolate breaks down. We don't know because we're not that smart. We're trying to guess what it is to be a better-than-human guesser. Could a gathering of apes have predicted the rise of human intelligence, or understood it if it were explained? For that matter, could the 15th century have predicted the 20th century, let alone the 21st? Nothing has changed in the human brain since the 15th century; if the people of the 15th century could not predict five centuries ahead across constant minds, what makes us think we can outguess genuinely smarter-than-human intelligence?
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The Singularity is beyond huge, but it can begin with something small. If one smarter-than-human intelligence exists, that mind will find it easier to create still smarter minds. In this respect the dynamic of the Singularity resembles other cases where small causes can have large effects; toppling the first domino in a chain, starting an avalanche with a pebble, perturbing an upright object balanced on its tip. (Human technological civilization occupies a metastable state in which the Singularity is an attractor; once the system starts to flip over to the new state, the flip accelerates.) All it takes is one technology – Artificial Intelligence, brain-computer interfaces, or perhaps something unforeseen – that advances to the point of creating smarter-than-human minds. That one technological advance is the equivalent of the first self-replicating chemical that gave rise to life on Earth.
Highlighted by blackdoom
The Singularity is the technological creation of smarter-than-human intelligence. There are several technologies that are often mentioned as heading in this direction. The most commonly mentioned is probably Artificial Intelligence, but there are others: direct brain-computer interfaces, biological augmentation of the brain, genetic engineering, ultra-high-resolution scans of the brain followed by computer emulation
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Public Comment
on 2006-11-18 by alexko
on 2008-01-09 by esterflorance