will machines outsmart man

Upload: jeffrey-w-danese

Post on 06-Apr-2018

213 views

Category:

Documents


0 download

TRANSCRIPT

  • 8/3/2019 Will Machines Outsmart Man

    1/3

  • 8/3/2019 Will Machines Outsmart Man

    2/3

    Intel and they were able to reinvent the CMOS transistor using new materials." Intel is

    now looking beyond 2020 at photonics and quantum effects such as spin. "The arc of

    Moore's law brings the singularity ever closer."

    Judgment day

    Belief in an approaching singularity is not solely American. Peter Cochrane, the former

    head of BT's research labs, says for machines to outsmart humans it "depends on almost

    one factor alone - the number of networked sensors. Intelligence is more to do with

    sensory ability than memory and computing power." The internet, he adds, overtook the

    capacity of a single human brain in 2006. "I reckon we're looking at the 2020 timeframe

    for a significant machine intelligence to emerge." And, he said: "By 2030 it really should

    be game over."

    Predictions like this flew at the summit. Imagine when a human-scale brain costs $1 -

    you could have a pocket full of them. The web will wake up, like Gaia. Nova Spivack,

    founder of EarthWeb and, more recently, Radar Networks (creator of Twine.com),

    quoted Freeman Dyson: "God is what mind becomes when it has passed beyond the

    scale of our comprehension."

    Listening, you'd never guess that artificial intelligence has been about 20 years away for

    a long time now. John McCarthy, one of AI's fathers, thought when he convened the

    first conference on the subject in 1956, that they'd be able to wrap the whole thing up in

    six months. McCarthy calls the singularity, bluntly, "nonsense".

    Even so, there are many current technologies, such as speech recognition, machine

    translation, and IBM's human-beating chess grandmaster Deep Blue, that would have

    seemed like AI at the beginning. "It's incredible how intelligent a human being in front

    of a connected computer is," observed the CNBC reporter Bob Pisani, marvelling at how

    clever Google makes him sound to viewers phoning in. Such advances are reminders

    that there may be valuable discoveries that make attempts at even the wildest ideas

    worthwhile.

    Dharmendra Modha, head of the cognitive computing group at IBM's Almaden researchlab, is leading a "quest" to "understand and build a brain as cheaply and quickly as

    possible". Last year, his group succeeded in simulating a rat-scale cortical model - 55m

    neurons, 442bn synapses - in 8TB memory of a 32,768-processor IBM Blue Gene

    supercomputer. The key, he says, is not the neurons but the synapses, the electrical-

    chemical-electrical connections between those neurons. Biological microcircuits are

    roughly essentially the same in all mammals. "An individual human being is stored in

    the strength of the synapses."

    Smarter than smart

    Modha doesn't suggest that the team has made a rat brain. "Philosophically," he writeson the subject, "any simulation is always an approximation (a kind of 'cartoon') based

    on certain assumptions. A biophysically realistic simulation is not the focus of our

    work." His team is using the simulation to try to understand the brain's high-level

    computational principles.

    But computational power is nothing without software. "Would the neural code that

    powers human reasoning run on a different substrate?" the sceptical science writer John

    Horgan asked Kurzweil, who replied: "The key to the singularity is amplifying

    intelligence. The prediction is that an entity that passes the Turing test and has

    emotional intelligence ... will convince us that it's conscious. But that's not a

  • 8/3/2019 Will Machines Outsmart Man

    3/3

    2011 Guardian News and Media Limited or its affiliated companies. All rights reserved.

    philosophical demonstration."

    For intelligence to be effective, it has to be able to change the physical world. The MIT

    physicist Neil Gershenfeld was therefore at the summit to talk about programmable

    matter. It's a neat trick: computer science talks in ones and zeros, but these are

    abstractions representing the flow or interruption of electric current, a physical

    phenomenon. Gershenfeld, noting that maintaining that abstraction requires increasing

    amounts of power and complex programmning, wants to turn this on its head. What if,

    he asked, you could buy computing cells by the pound, coat them on a surface, and run

    programs that assemble them like proteins to solve problems?

    Gershenfeld is always difficult for non-physicists to understand, and his video of cells

    sorting was no exception. Two things he said were clear. First: "We aim to create life."

    Second: "We have a 20-year road map to make the Star Trek replicator."

    Twenty years: 2028. Vernor Vinge began talking about the singularity in the early 80s

    (naming it after the gravitational phenomenon around a black hole), and has always put

    the date at 2030. Kurzweil likes 2045; Rattner, before 2050.

    Turning back time

    These dates may be personally significant. Rattner is 59; Vinge is 64. Kurzweil is 60,

    takes 250 vitamins and other supplements a day, and believes some of them can turn

    back ageing. If curing all human ills will be a piece of cake for a superhuman

    intelligence, then the singularity carries with it the promise of immortality - as long as

    you're still alive when it happens.

    It is in this connection between the singularity and immortality, along with the idea that

    sufficiently advanced technology can solve every problem from climate change to the

    exhaustion of oil reserves, that gives the summit the feel of a religious movement.

    Certainly, James Miller, assistant professor of economics at Smith College, sounded

    evangelical when he reviewed how best to prepare financially. He was optimistic,

    reviewing investment strategies and assuming retirement funds won't be needed.

    HowStuffWorks founder Marshall Brain, by contrast, explained why 50 million people

    will lose their jobs when they can be replaced by robots. "In the whole universe, there is

    one intelligent species," he said. "We're in the process of creating the second intelligent

    species."

    The anthropologist Jane Goodall may disagree. She sees a different kind of singularity -

    the growing ecological devastation of Africa - and worries about the disconnection

    between human minds and hearts. "If we're the most intellectual animal," she said,

    "why are we destroying our only home?"

    If Goodall's singularity comes first, the other one might never happen at all - one of

    those catastrophes that Vinge admits as the only thing he can imagine that could stop it.