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Javier E

Assessing Kurzweil: the results - Less Wrong - 0 views

  • when talking about unprecedented future events such as nanotechnology or AI, the choice of the model is also dependent on expert judgement.
  • In various books, he's made predictions about what would happen in 2009, and we're now in a position to judge their accuracy. I haven't been satisfied by the various accuracy ratings I've found online, so I decided to do my own assessments.
  • Ray Kurzweil has a model of technological intelligence development where, broadly speaking, evolution, pre-computer technological development, post-computer technological development and future AIs all fit into the same exponential increase.
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  • relying on a single assessor is unreliable, especially when some of the judgements are subjective. So I started a call for volunteers to get assessors. Meanwhile Malo Bourgon set up a separate assessment on Youtopia, harnessing the awesome power of altruists chasing after points. The results are now in, and they are fascinating. They are...
sgardner35

Ray Kurzweil: Humans will be hybrids by 2030 - Jun. 3, 2015 - 0 views

  • That means our brains will be able to connect directly to the cloud, where there will be thousands of computers, and those computers will augment our existing intelligence. He said the brain will connect via nanobots -- tiny robots made from DNA strands.
  • For those concerned with artificial intelligence taking over the world, Kurzweil said we have a moral imperative to keep developing the technology while controlling for potential dangers.
  • The bigger and more complex the cloud, the more advanced our thinking. By the time we get to the late 2030s or the early 2040s, Kurzweil believes our thinking will be predominately non-biological.
maddieireland334

Ray Kurzweil: Humans will be hybrids by 2030 - 0 views

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    That's the prediction of Ray Kurzweil, director of engineering at Google , who spoke Wednesday at the Exponential Finance conference in New York. Kurzweil predicts that humans will become hybrids in the 2030s. That means our brains will be able to connect directly to the cloud, where there will be thousands of computers, and those computers will augment our existing intelligence.
Javier E

Can We Improve? - The New York Times - 1 views

  • are we capable of substantial moral improvement? Could we someday be much better ethically than we are now? Is it likely that members of our species could become, on average, more generous or more honest, less self-deceptive or less self-interested?
  • I’d like to focus here on a more recent moment: 19th-century America, where the great optimism and idealism of a rapidly rising nation was tempered by a withering realism.
  • Emerson thought that “the Spirit who led us hither” would help perfect us; others have believed the agent of improvement to be evolution, or the inevitable progress of civilization. More recent advocates of our perfectibility might focus on genetic or neurological interventions, or — as in Ray Kurzweil’s “When Singularity Is Near” — information technologies.
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  • One reason that a profound moral improvement of humankind is hard to envision is that it seems difficult to pull ourselves up morally by our own bootstraps; our attempts at improvement are going to be made by the unimproved
  • People and societies occasionally improve, managing to enfranchise marginalized groups, for example, or reduce violence, but also often degenerate into war, oppression or xenophobia. It is difficult to improve and easy to convince yourself that you have improved, until the next personality crisis, the next bad decision, the next war, the next outbreak of racism, the next “crisis” in educatio
  • It’s difficult to teach your children what you yourself do not know, and it’s difficult to be good enough actually to teach your children to be good.
  • Plans for our improvement have resulted in progress here and there, but they’ve also led to many disasters of oppression, many wars and genocides.
  • One thing that Twain is saying is that many forms of evil — envy, for example, or elaborate dishonesty — appear on earth only with human beings and are found wherever we are. Creatures like us can’t see clearly what we’d be making progress toward.
  • His story “The Imp of the Perverse” shows another sort of reason that humans find it difficult to improve. The narrator asserts that a basic human impulse is to act wrongly on purpose, or even to do things because we know they’re wrong: “We act, for the reason that we should not,” the narrator declares. This is one reason that human action tends to undermine itself; our desires are contradictory.
  • Perhaps, then if we cannot improve systematically, we can improve inadvertently — or even by sheer perversity
  • As to evolution, it, too, is as likely to end in our extinction as our flourishing; it has of course extinguished most of the species to which it has given rise, and it does not clearly entail that every or any species gets better in any dimension over time
  • Our technologies may, as Kurzweil believes, allow us to transcend our finitude. On the other hand, they may end in our or even the planet’s total destruction.
  • “I have no faith in human perfectibility. I think that human exertion will have no appreciable effect on humanity. Man is … not more happy — nor more wise, than he was 6,000 years ago.”
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    are we capable of substantial moral improvement? Could we someday be much better ethically than we are now? Is it likely that members of our species could become, on average, more generous or more honest, less self-deceptive or less self-interested?
marleen_ueberall

Humans Are the World's Best Pattern-Recognition Machines, But for How Long? - Big Think - 0 views

  • Not only are machines rapidly catching up to — and exceeding — humans in terms of raw computing power, they are also starting to do things that we used to consider inherently human
  • Quite simply, humans are amazing pattern-recognition machines. They have the ability to recognize many different types of patterns - and then transform these "recursive probabalistic fractals" into concrete, actionable steps.
  • Intelligence, then, is really just a matter of being able to store more patterns than anyone else
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  • Artificial intelligence pioneer Ray Kurzweil was among the first to recognize how the link between pattern recognition and human intelligence could be used to build the next generation of artificially intelligent machines.
  • where human "expertise" has always trumped machine "expertise."
  • It turns out patterns matter, and they matter a lot.
  • The more you think about it, the more you can see patterns all around you. Getting to work on time in the morning is the result of recognizing patterns in your daily commute
  • it's really just a matter of recognizing the right patterns faster than anyone else, and machines just have so much processing power these days it's easy to see them becoming the future doctors and lawyers of the world.
  • The future of intelligence is in making our patterns better, our heuristics stronger.
  • One thing is clear – being able to recognize patterns is what gave humans their evolutionary edge over animals.
  • How we refine, shape and improve our pattern recognition is the key to how much longer we'll have the evolutionary edge over machines.
Javier E

Netanyahu's Dark Worldview - The Atlantic - 0 views

  • as Netanyahu soon made clear, when it comes to AI, he believes that bad outcomes are the likely outcomes. The Israeli leader interrogated OpenAI’s Brockman about the impact of his company’s creations on the job market. By replacing more and more workers, Netanyahu argued, AI threatens to “cannibalize a lot more jobs than you create,” leaving many people adrift and unable to contribute to the economy. When Brockman suggested that AI could usher in a world where people would not have to work, Netanyahu countered that the benefits of the technology were unlikely to accrue to most people, because the data, computational power, and engineering talent required for AI are concentrated in a few countries.
  • “You have these trillion-dollar [AI] companies that are produced overnight, and they concentrate enormous wealth and power with a smaller and smaller number of people,” the Israeli leader said, noting that even a free-market evangelist like himself was unsettled by such monopolization. “That will create a bigger and bigger distance between the haves and the have-nots, and that’s another thing that causes tremendous instability in our world. And I don’t know if you have an idea of how you overcome that?”
  • The other panelists did not. Brockman briefly pivoted to talk about OpenAI’s Israeli employees before saying, “The world we should shoot for is one where all the boats are rising.” But other than mentioning the possibility of a universal basic income for people living in an AI-saturated society, Brockman agreed that “creative solutions” to this problem were needed—without providing any.
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  • The AI boosters emphasized the incredible potential of their innovation, and Netanyahu raised practical objections to their enthusiasm. They cited futurists such as Ray Kurzweil to paint a bright picture of a post-AI world; Netanyahu cited the Bible and the medieval Jewish philosopher Maimonides to caution against upending human institutions and subordinating our existence to machines.
  • Musk matter-of-factly explained that the “very positive scenario of AI” is “actually in a lot of ways a description of heaven,” where “you can have whatever you want, you don’t need to work, you have no obligations, any illness you have can be cured,” and death is “a choice.” Netanyahu incredulously retorted, “You want this world?”
  • By the time the panel began to wind down, the Israeli leader had seemingly made up his mind. “This is like having nuclear technology in the Stone Age,” he said. “The pace of development [is] outpacing what solutions we need to put in place to maximize the benefits and limit the risks.”
  • Netanyahu was a naysayer about the Arab Spring, unwilling to join the rapturous ranks of hopeful politicians, activists, and democracy advocates. But he was also right.
  • This was less because he is a prophet and more because he is a pessimist. When it comes to grandiose predictions about a better tomorrow—whether through peace with the Palestinians, a nuclear deal with Iran, or the advent of artificial intelligence—Netanyahu always bets against. Informed by a dark reading of Jewish history, he is a cynic about human nature and a skeptic of human progress.
  • fter all, no matter how far civilization has advanced, it has always found ways to persecute the powerless, most notably, in his mind, the Jews. For Netanyahu, the arc of history is long, and it bends toward whoever is bending it.
  • This is why the Israeli leader puts little stock in utopian promises, whether they are made by progressive internationalists or Silicon Valley futurists, and places his trust in hard power instead
  • “The weak crumble, are slaughtered and are erased from history while the strong, for good or for ill, survive. The strong are respected, and alliances are made with the strong, and in the end peace is made with the strong.”
  • To his many critics, myself included, Netanyahu’s refusal to envision a different future makes him a “creature of the bunker,” perpetually governed by fear. Although his pessimism may sometimes be vindicated, it also holds his country hostag
  • In other words, the same cynicism that drives Netanyahu’s reactionary politics is the thing that makes him an astute interrogator of AI and its promoters. Just as he doesn’t trust others not to use their power to endanger Jews, he doesn’t trust AI companies or AI itself to police its rapidly growing capabilities.
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