Ray Kurzweil is an interesting guy and certainly his thoughts on an exponential rate of technological advancement are relevant to everyone from West Bum Fuck Texas to West End London and everywhere in between. It’s one reason why people are constantly underestimating the rate at which advances are made (they are estimating linear growth when exponential applies). Here’s his book on Amazon: The Singularity Is Near: When Humans Transcend Biology. Now on to the articles (two of them):
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Futurist Ray Kurzweil Pulls Out All the Stops (and Pills) to Live to Witness the Singularity
By Gary Wolf Email 03.24.08 | 6:00 PM
Photo: Rennio Maifredi
Ray Kurzweil, the famous inventor, is trim, balding, and not very tall. With his perfect posture and narrow black glasses, he would look at home in an old documentary about Cape Canaveral, but his mission is bolder than any mere voyage into space. He is attempting to travel across a frontier in time, to pass through the border between our era and a future so different as to be unrecognizable. He calls this border the singularity. Kurzweil is 60, but he intends to be no more than 40 when the singularity arrives.
Kurzweil’s notion of a singularity is taken from cosmology, in which it signifies a border in spacetime beyond which normal rules of measurement do not apply (the edge of a black hole, for example). The word was first used to describe a crucial moment in the evolution of humanity by the great mathematician John von Neumann. One day in the 1950s, while talking with his colleague Stanislaw Ulam, von Neumann began discussing the ever-accelerating pace of technological change, which, he said, “gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs as we know them could not continue.”
(jump to article #2: Never Mind the Singularity, Here’s the Science)
Many years later, this idea was picked up by another mathematician, the professor and science fiction writer Vernor Vinge, who added an additional twist. Vinge linked the singularity directly with improvements in computer hardware. This put the future on a schedule. He could look at how quickly computers were improving and make an educated guess about when the singularity would arrive. “Within 30 years, we will have the technological means to create superhuman intelligence,” Vinge wrote at the beginning of his 1993 essay The Coming Technological Singularity: How to Survive in the Post-Human Era. “Shortly after, the human era will be ended.” According to Vinge, superintelligent machines will take charge of their own evolution, creating ever smarter successors. Humans will become bystanders in history, too dull in comparison with their devices to make any decisions that matter.
Kurzweil transformed the singularity from an interesting speculation into a social movement. His best-selling books The Age of Spiritual Machines and The Singularity Is Near cover everything from unsolved problems in neuroscience to the question of whether intelligent machines should have legal rights. But the crucial thing that Kurzweil did was to make the end of the human era seem actionable: He argues that while artificial intelligence will render biological humans obsolete, it will not make human consciousness irrelevant. The first AIs will be created, he says, as add-ons to human intelligence, modeled on our actual brains and used to extend our human reach. AIs will help us see and hear better. They will give us better memories and help us fight disease. Eventually, AIs will allow us to conquer death itself. The singularity won’t destroy us, Kurzweil says. Instead, it will immortalize us.
There are singularity conferences now, and singularity journals. There has been a congressional report about confronting the challenges of the singularity, and late last year there was a meeting at the NASA Ames Research Center to explore the establishment of a singularity university. The meeting was called by Peter Diamandis, who established the X Prize. Attendees included senior government researchers from NASA, a noted Silicon Valley venture capitalist, a pioneer of private space exploration, and two computer scientists from Google.
At this meeting, there was some discussion about whether this university should avoid the provocative term singularity, with its cosmic connotations, and use a more ordinary phrase, like accelerating change. Kurzweil argued strongly against backing off. He is confident that the word will take hold as more and more of his astounding predictions come true.
Kurzweil does not believe in half measures. He takes 180 to 210 vitamin and mineral supplements a day, so many that he doesn’t have time to organize them all himself. So he’s hired a pill wrangler, who takes them out of their bottles and sorts them into daily doses, which he carries everywhere in plastic bags. Kurzweil also spends one day a week at a medical clinic, receiving intravenous longevity treatments. The reason for his focus on optimal health should be obvious: If the singularity is going to render humans immortal by the middle of this century, it would be a shame to die in the interim. To perish of a heart attack just before the singularity occurred would not only be sad for all the ordinary reasons, it would also be tragically bad luck, like being the last soldier shot down on the Western Front moments before the armistice was proclaimed.
Photo: Garry McLeod
In his childhood, Kurzweil was a technical prodigy. Before he turned 13, he’d fashioned telephone relays into a calculating device that could find square roots. At 14, he wrote software that analyzed statistical deviance; the program was distributed as standard equipment with the new IBM 1620. As a teenager, he cofounded a business that matched high school students with colleges based on computer evaluation of a mail-in questionnaire. He sold the company to Harcourt, Brace & World in 1968 for $100,000 plus royalties and had his first small fortune while still an undergraduate at MIT.
Though Kurzweil was young, it would have been a poor bet to issue him life insurance using standard actuarial tables. He has unlucky genes: His father died of heart disease at 58, his grandfather in his early forties. He himself was diagnosed with high cholesterol and incipient type 2 diabetes — both considered to be significant risk factors for early death — when only 35. He felt his bad luck as a cloud hanging over his life.
Still, the inventor squeezed a lot of achievement out of these early years. In his twenties, he tackled a science fiction type of problem: teaching computers to decipher words on a page and then read them back aloud. At the time, common wisdom held that computers were too slow and too expensive to master printed text in all its forms, at least in a way that was commercially viable.
But Kurzweil had a special confidence that grew from a habit of mind he’d been cultivating for years: He thought exponentially. To illustrate what this means, consider the following quiz: 2, 4, ?, ?.
What are the missing numbers? Many people will say 6 and 8. This suggests a linear function. But some will say the missing numbers are 8 and 16. This suggests an exponential function. (Of course, both answers are correct. This is a test of thinking style, not math skills.)
Human minds have a lot of practice with linear patterns. If we set out on a walk, the time it takes will vary linearly with the distance we’re going. If we bill by the hour, our income increases linearly with the number of hours we work. Exponential change is also common, but it’s harder to see. Financial advisers like to tantalize us by explaining how a tiny investment can grow into a startling sum through the exponential magic of compound interest. But it’s psychologically difficult to heed their advice. For years, an interest-bearing account increases by depressingly tiny amounts. Then, in the last moment, it seems to jump. Exponential growth is unintuitive, because it can be imperceptible for a long time and then move shockingly fast. It takes training and experience, and perhaps a certain analytical coolness, to trust in exponential curves whose effects cannot be easily perceived.
Moore’s law — the observation by Intel cofounder Gordon Moore that the number of transistors on an integrated circuit doubles roughly every 18 months — is another example of exponential change. For people like Kurzweil, it is the key example, because Moore’s law and its many derivatives suggest that just about any limit on computing power today will be overcome in short order. While Kurzweil was working on his reading machine, computers were improving, and they were indeed improving exponentially. The payoff came on January 13, 1976, when Walter Cronkite’s famous sign-off — “and that’s the way it is” — was read not by the anchorman but by the synthetic voice of a Kurzweil Reading Machine. Stevie Wonder was the first customer.
The original reader was the size of a washing machine. It read slowly and cost $50,000. One day late last year, as a winter storm broke across New England, I stood in Kurzweil’s small office suite in suburban Boston, playing with the latest version. I hefted it in my hand, stuck it in my pocket, pulled it out again, then raised it above a book flopped open on the table. A bright light flashed, and a voice began reading aloud. The angle of the book, the curve of its pages, the uneven shadows — none of that was a problem. The mechanical voice picked up from the numerals on the upper left corner — … four hundred ten. The singularity is near. The continued opportunity to alleviate human distress is one key motivation for continuing technological advancement — and continued down the page in an artificial monotone. Even after three decades of improvement, Kurzweil’s reader is a dull companion. It expresses no emotion. However, it is functionally brilliant to the point of magic. It can handle hundreds of fonts and any size book. It doesn’t mind being held at an angle by an unsteady hand. Not only that, it also makes calls: Computers have become so fast and small they’ve nearly disappeared, and the Kurzweil reader is now just software running on a Nokia phone.
In the late ’70s, Kurzweil’s character-recognition algorithms were used to scan legal documents and articles from newspapers and magazines. The result was the Lexis and Nexis databases. And a few years later, Kurzweil released speech recognition software that is the direct ancestor of today’s robot customer service agents. Their irritating mistakes taking orders and answering questions would seem to offer convincing evidence that real AI is still many years away. But Kurzweil draws the opposite conclusion. He admits that not everything he has invented works exactly as we might wish. But if you will grant him exponential progress, the fact that we already have virtual robots standing in for retail clerks, and cell phones that read books out loud, is evidence that the world is about to change in even more fantastical ways.
Look at it this way: If the series of numbers in the quiz mentioned earlier is linear and progresses for 100 steps, the final entry is 200. But if progress is exponential, then the final entry is 1,267,650,600,228,229,400,000,000,000,000. Computers will soon be smarter than humans. Nobody has to die.
In a small medical office on the outskirts of Denver, with windows overlooking the dirty snow and the golden arches of a fast-food mini-mall, one of the world’s leading longevity physicians, Terry Grossman, works on keeping Ray Kurzweil alive. Kurzweil is not Grossman’s only client. The doctor charges $6,000 per appointment, and wealthy singularitarians from all over the world visit him to plan their leap into the future.
Grossman’s patient today is Matt Philips, 32, who became independently wealthy when Yahoo bought the Internet advertising company where he worked for four years. A young medical technician is snipping locks of his hair, and another is extracting small vials of blood. Philips is in good shape at the moment, but he is aware that time marches on. “I’m dying slowly. I can’t feel it, but I know its happening, little by little, cell by cell,” he wrote on his intake questionnaire. Philips has read Kurzweil’s books. He is a smart, skeptical person and accepts that the future is not entirely predictable, but he also knows the meaning of upside. At worst, his money buys him new information about his health. At best, it makes him immortal.
“The normal human lifespan is about 125 years,” Grossman tells him. But Philips wasn’t born until 1975, so he starts with an advantage. “I think somebody your age, and in your condition, has a reasonable chance of making it across the first bridge,” Grossman says.
According to Grossman and other singularitarians, immortality will arrive in stages. First, lifestyle and aggressive antiaging therapies will allow more people to approach the 125-year limit of the natural human lifespan. This is bridge one. Meanwhile, advanced medical technology will begin to fix some of the underlying biological causes of aging, allowing this natural limit to be surpassed. This is bridge two. Finally, computers become so powerful that they can model human consciousness. This will permit us to download our personalities into nonbiological substrates. When we cross this third bridge, we become information. And then, as long as we maintain multiple copies of ourselves to protect against a system crash, we won’t die.
Kurzweil himself started across the first bridge in 1988. That year, he confronted the risk that had been haunting him and began to treat his body as a machine. He read up on the latest nutritional research, adopted the Pritikin diet, cut his fat intake to 10 percent of his calories, lost 40 pounds, and cured both his high cholesterol and his incipient diabetes. Kurzweil wrote a book about his experience, The 10% Solution for a Healthy Life. But this was only the beginning.
Kurzweil met Grossman at a Foresight Nanotech Institute meeting in 1999, and they became research partners. Their object of investigation was Kurzweil’s body. Having cured himself of his most pressing health problems, Kurzweil was interested in adopting the most advanced medical and nutritional technologies, but it wasn’t easy to find a doctor willing to tolerate his persistent questions. Grossman was building a new type of practice, focused not on illness but on the pursuit of optimal health and extreme longevity. The two men exchanged thousands of emails, sharing speculations about which cutting-edge discoveries could be safely tried.
Though both Grossman and Kurzweil respect science, their approach is necessarily improvisational. If a therapy has some scientific promise and little risk, they’ll try it. Kurzweil gets phosphatidylcholine intravenously, on the theory that this will rejuvenate all his body’s tissues. He takes DHEA and testosterone. Both men use special filters to produce alkaline water, which they drink between meals in the hope that negatively charged ions in the water will scavenge free radicals and produce a variety of health benefits. This kind of thing may seem like quackery, especially when promoted by various New Age outfits touting the “pH miracle of living.” Kurzweil and Grossman justify it not so much with scientific citations — though they have a few — but with a tinkerer’s shrug. “Life is not a randomized, double-blind, placebo-controlled study,” Grossman explains. “We don’t have that luxury. We are operating with incomplete information. The best we can do is experiment with ourselves.”
Obviously, Kurzweil has no plan for retirement. He intends to sustain himself indefinitely through his intelligence, which he hopes will only grow. A few years ago he deployed an automated system for making money on the stock market, called FatKat, which he uses to direct his own hedge fund. He also earns about $1 million a year in speaking fees.
Meanwhile, he tries to safeguard his well-being. As a driver he is cautious. He frequently bicycles through the Boston suburbs, which is good for physical conditioning but also puts his immortality on the line. For most people, such risks blend into the background of life, concealed by a cheerful fatalism that under ordinary conditions we take as a sign of mental health. But of course Kurzweil objects to this fatalism. He wants us to try harder to survive.
His plea is often ignored. Kurzweil has written about the loneliness of being a singularitarian. This may seem an odd complaint, given his large following, but there is something to it. A dozen of his fans may show up in Denver every month to initiate longevity treatments, but many of them, like Matt Philips, are simply hedging their bets. Most health fanatics remain agnostic, at best, on the question of immortality.
Kurzweil predicts that by the early 2030s, most of our fallible internal organs will have been replaced by tiny robots. We’ll have “eliminated the heart, lungs, red and white blood cells, platelets, pancreas, thyroid and all the hormone-producing organs, kidneys, bladder, liver, lower esophagus, stomach, small intestines, large intestines, and bowel. What we have left at this point is the skeleton, skin, sex organs, sensory organs, mouth and upper esophagus, and brain.”
In outlining these developments, Kurzweil’s tone is so calm and confident that he seems to be describing the world as it is today, rather than some distant, barely imaginable future. This is because his prediction falls out cleanly from the equations he’s proposed. Knowledge doubles every year, Kurzweil says. He has estimated the number of computations necessary to simulate a human brain. The rest is simple math.
But wait. There may be something wrong. Kurzweil’s theory of accelerating change is meant to be a universal law, applicable wherever intelligence is found. It’s fine to say that knowledge doubles every year. But then again, what is a year? A year is an astronomical artifact. It is the length of time required by Earth to make one orbit around our unexceptional star. A year is important to our nature, to our biology, to our fantasies and dreams. But it is a strange unit to discover in a general law.
“Doubling every year,” I say to Kurzweil, “makes your theory sound like a wish.”
He’s not thrown off. A year, he replies, is just shorthand. The real equation for accelerating world knowledge is much more complicated than that. In his book, he gives it as:
He has examined the evidence, and welcomes debate on the minor details. If you accept his basic premise of accelerating growth, he’ll yield a little on the date he predicts the singularity will occur. After all, concede accelerating growth and the exponential fuse is lit. At the end you get that big bang: an explosion in intelligence that yields immortal life.
Despite all this, people continue to disbelieve. There is a lively discussion among experts about the validity of Moore’s law. Kurzweil pushes Moore’s law back to the dawn of time, and forward to the end of the universe. But many computer scientists and historians of technology wonder if it will last another decade. Some suspect that the acceleration of computing power has already slowed.
There are also philosophical objections. Kurzweil’s theory is that super-intelligent computers will necessarily be human, because they will be modeled on the human brain. But there are other types of intelligence in the world — for instance, the intelligence of ant colonies — that are alien to humanity. Grant that a computer, or a network of computers, might awaken. The consciousness of the this fabulous AI might remain as incomprehensible to us as we are to the protozoa.
Other pessimists point out that the brain is more than raw processing power. It also has a certain architecture, a certain design. It is attached to specific type of nervous system, it accepts only particular kinds of inputs. Even with better computational speed driving our thoughts, we might still be stuck in a kind of evolutionary dead end, incapable of radical self-improvement.
And these are the merely intellectual protests Kurzweil receives. The fundamental cause for loneliness, if you are a prophet of the singularity, is probably more profound. It stems from the simple fact that the idea is so strange. “Death has been a ubiquitous, ever-present facet of human society,” says Kurzweil’s friend Martine Rothblatt, founder of Sirius radio and chair of United Therapeutics, a biotech firm on whose board Kurzweil sits. “To tell people you are going to defeat death is like telling people you are going to travel back in time. It has never been done. I would be surprised if people had a positive reaction.”
To press his case, Kurzweil is writing and producing an autobiographical movie, with walk-ons by Alan Dershowitz and Tony Robbins. Kurzweil appears in two guises, as himself and as an intelligent computer named Ramona, played by an actress. Ramona has long been the inventor’s virtual alter ego and the expression of his most personal goals. “Women are more interesting than men,” he says, “and if it’s more interesting to be with a woman, it is probably more interesting to be a woman.” He hopes one day to bring Ramona to life, and to have genuine human experiences, both with her and as her. Kurzweil has been married for 32 years to his wife, Sonya Kurzweil. They have two children — one at Stanford University, one at Harvard Business School. “I don’t necessarily only want to be Ramona,” he says. “It’s not necessarily about gender confusion, it’s just about freedom to express yourself.”
Kurzweil’s movie offers a taste of the drama such a future will bring. Ramona is on a quest to attain full legal rights as a person. She agrees to take a Turing test, the classic proof of artificial intelligence, but although Ramona does her best to masquerade as human, she falls victim to one of the test’s subtle flaws: Humans have limited intelligence. A computer that appears too smart will fail just as definitively as one that seems too dumb. “She loses because she is too clever!” Kurzweil says.
The inventor’s sympathy with his robot heroine is heartfelt. “If you’re just very good at doing mathematical theorems and making stock market investments, you’re not going to pass the Turing test,” Kurzweil acknowledged in 2006 during a public debate with noted computer scientist David Gelernter. Kurzweil himself is brilliant at math, and pretty good at stock market investments. The great benefits of the singularity, for him, do not lie here. “Human emotion is really the cutting edge of human intelligence,” he says. “Being funny, expressing a loving sentiment — these are very complex behaviors.”
One day, sitting in his office overlooking the suburban parking lot, I ask Kurzweil if being a singularitarian makes him happy. “If you took a poll of primitive man, happiness would be getting a fire to light more easily,” he says. “But we’ve expanded our horizon, and that kind of happiness is now the wrong thing to focus on. Extending our knowledge and casting a wider net of consciousness is the purpose of life.” Kurzweil expects that the world will soon be entirely saturated by thought. Even the stones may compute, he says, within 200 years.
Every day he stays alive brings him closer to this climax in intelligence, and to the time when Ramona will be real. Kurzweil is a technical person, but his goal is not technical in this respect. Yes, he wants to become a robot. But the robots of his dreams are complex, funny, loving machines. They are as human as he hopes to be.
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Never Mind the Singularity, Here’s the Science
By Mark Anderson Email 03.24.08 | 6:00 PM
Many computer scientists take it on faith that one day machines will become conscious. Led by futurist Ray Kurzweil, proponents of the so-called strong-AI school believe that a sufficient number of digitally simulated neurons, running at a high enough speed, can awaken into awareness. Once computing speed reaches 1016 operations per second — roughly by 2020 — the trick will be simply to come up with an algorithm for the mind. When we find it, machines will become self-aware, with unpredictable consequences. This event is known as the singularity.
These techno-utopians should pay closer attention to developments in neuroscience. Sure, artificial intelligence techniques like neural networks have led to better spam filters. But research suggests that the current approach to AI won’t result in a conscious machine on anything like Kurzweil’s timeline. The latest evidence shows that, when it comes to consciousness, the brain simply doesn’t work the way computer scientists think it does. Almost nothing is known about how the brain produces awareness, and current models of brain function don’t accord with the little that is known.
Singulatarians would respond by predicting that exponentially growing scientific progress will fill the gap. This notion sweeps under the rug a messy philosophical problem: An algorithm is only a set of instructions, and even the most sophisticated machine executing the most elaborate instructions is still an unconscious automaton. Philosophy aside, a constellation of recent scientific findings indicates that no matter how fast CPUs become in future decades, they’ll be no more aware than a toaster. Building a conscious machine will likely require paradigm shifts in brain science — conceptual leaps that, by definition, won’t come on a schedule. Here, then, are five reasons why the singularity is not near.
The mind is synchronized, but no one knows how. New York University neurologist E. Roy John has established that the hallmark of consciousness is a regular electrical oscillation, or gamma wave, readily detected by electrodes attached to the scalp. More recently, Wolf Singer and his colleagues at the Max Planck Institute for Brain Research in Frankfurt, Germany, confirmed that brain cells flicker in time with the gamma wave. This flickering takes place among widely dispersed neurons throughout the brain with no apparent spatial pattern. What keeps these ever-shifting, widely distributed groups of cells in sync? Neurochemical reactions take place too slowly to explain the phenomenon. This mystery alone seems to demand a wholesale rethinking of AI’s underpinnings.
Current brain maps are of little use in explaining awareness. For more than a century, the brain cell, or neuron, has been seen as a tiny switching station with multiple signals coming in through many input wires, known as dendrites, but only one signal going out through a single output wire, or axon. AI is based on this circuitry model. When it comes to consciousness, though, the model has its wires crossed. Singer has discovered that gamma waves — the indicators of consciousness — issue from the neuron’s supposed inputs, not its output. Confusing matters further, researchers, including Takaichi Fukuda and Toshio Kosaka of Japan’s Kyushu University, have revealed that many inputs interconnect, forming an altogether different set of networks. In other words, the vast strides made by neuroscientists in their attempt to map the brain may reveal little about consciousness.
The brain is faster than singularity theorists think. AI assumes that the neuron is analogous to a single computer bit. But it turns out that each neuron is supported by a supercomputer’s worth of additional circuitry. MIT bioengineer Andreas Mershin and UCLA psychologist Nancy Woolf have independently confirmed the importance of microtubules, the scaffolding that undergirds each neuron, in animal memory and learning. At the University of Alberta, physicist Jack Tuszynski has developed computational models suggesting that these supposedly dumb structures could be smarter than previously recognized. Stuart Hameroff at the University of Arizona argues that trillions of computations per second take place in the microtubules of each neuron. If he’s right, the brain’s speed is 1028 operations per second — a trillion times faster than is generally thought — which pushes the vaunted singularity back by decades.
The on/off switch isn’t where it’s supposed to be. As it happens, doctors have a handy way to flick the switch of consciousness: anesthesia. When you’re under, awareness is disabled, but everything else in the brain operates normally. So how does anesthesia work? Hameroff has come up with a simple model in which anesthetic drugs interact almost exclusively with microtubules; the rest of the neuron plays only a marginal role. This model is the closest anyone has come to a unified theory of anesthesia — yet it flatly contradicts the notion that consciousness arises from firing neurons.
Understanding consciousness may require new physics. In his 1989 book, The Emperor’s New Mind, Oxford physicist Roger Penrose proposed that the classical physics ruling neurobiology can’t explain consciousness. The mind, he declared, relies on the baffling mechanics of quantum physics. Although his point remains controversial, evidence in its favor is accumulating. Most recently, physicist Efstratios Manousakis at Florida State University showed that certain confounding quirks of visual perception are most easily explained by quantum mechanics. If consciousness is indeed a quantum phenomenon, then AI becomes an entirely new game. The singularity will have to wait for engineers to catch up.