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heritable variation of candidates and a system that culls the least-suitable candidates. This latter -- the fitness-factor that determines which individuals in a cohort breed and which vanish -- is the key to a successful evolutionary system. Without it, there's no pressure for the system to achieve the desired goal: merely mutation and more mutation.
But how can a machine evaluate which of a trillion models of a human brain is "most like" a conscious mind? Or better still: which one is most like the individual whose brain is being modeled?
"It is a sleight of hand in Spiritual Machines," Kurzweil admits. "But in The Singularity Is Near, I have an in-depth discussion about what we know about the brain and how to model it. Our tools for understanding the brain are subject to the Law of Accelerating Returns, and we've made more progress in reverse-engineering the human brain than most people realize." This is a tasty Kurzweilism that observes that improvements in technology yield tools for improving technology, round and round, so that the thing that progress begets more than anything is more and yet faster progress.
"Scanning resolution of human tissue -- both spatial and temporal -- is doubling every year, and so is our knowledge of the workings of the brain. The brain is not one big neural net, the brain is several hundred different regions, and we can understand each region, we can model the regions with mathematics, most of which have some nexus with chaos and self-organizing systems. This has already been done for a couple dozen regions out of the several hundred.
"We have a good model of a dozen or so regions of the auditory and visual cortex, how we strip images down to very low-resolution movies based on pattern recognition. Interestingly, we don't actually see things, we essentially hallucinate them in detail from what we see from these low resolution cues. Past the early phases of the visual cortex, detail doesn't reach the brain.
"We are getting exponentially more knowledge. We can get detailed scans of neurons working in vivo, and are beginning to understand the chaotic algorithms underlying human intelligence. In some cases, we are getting comparable performance of brain regions in simulation. These tools will continue to grow in detail and sophistication.
"We can have confidence of reverse-engineering the brain in twenty years or so. The reason that brain reverse engineering has not contributed much to artificial intelligence is that up until recently we didn't have the right tools. If I gave you a computer and a few magnetic sensors and asked you to reverse-engineer it, you might figure out that there's a magnetic device spinning when a file is saved, but you'd never get at the instruction set. Once you reverse-engineer the computer fully, however, you can express its principles of operation in just a few dozen pages.
"Now there are new tools that let us see the interneuronal connections and their signaling, in vivo, and in real-time. We're just now getting these tools and there's very rapid application of the tools to obtain the data.
"Twenty years from now we will have realistic simulations and models of all the regions of the brain and [we will] understand how they work. We won't blindly or mindlessly copy those methods, we will understand them and use them to improve our AI toolkit. So we'll learn how the brain works and then apply the sophisticated tools that we will obtain, as we discover how the brain works.
"Once we understand a subtle science principle, we can isolate, amplify, and expand it. Air goes faster over a curved surface: from that insight we isolated, amplified, and expanded the idea and invented air travel. We'll do the same with intelligence.
"Progress is exponential -- not just a measure of power of computation, number of Internet nodes, and magnetic spots on a hard disk -- the rate of paradigm shift is itself accelerating, doubling every decade. Scientists look at a problem and they intuitively conclude that since we've solved 1 percent over the last year, it'll therefore be one hundred years until the problem is exhausted: but the rate of progress doubles every decade, and the power of the information tools (in price-performance, resolution, bandwidth, and so on) doubles every year. People, even scientists, don't grasp exponential growth. During the first decade of the human genome project, we only solved 2 percent of the problem, but we solved the remaining 98 percent in five years."
But Kurzweil doesn't think that the future will arrive in a rush. As William Gibson observed, "The future is here, it's just not evenly distributed."
"Sure, it'd be interesting to take a human brain, scan it, reinstantiate the brain, and run it on another substrate. That will ultimately happen."
"But the most salient scenario is that we'll gradually merge with our technology. We'll use nanobots to kill pathogens, then to kill cancer cells, and then they'll go into our brain and do benign things there like augment our memory, and very gradually they'll get more and more sophisticated. There's no single great leap, but there is ultimately a great leap comprised of many small steps.
"In The Singularity Is Near, I describe the radically different world of 2040, and how we'll get there one benign change at a time. The Singularity will be gradual, smooth.
"Really, this is about augmenting our biological thinking with nonbiological thinking. We have a capacity of 1026 to 1029 calculations per second (cps) in the approximately 1010 biological human brains on Earth and that number won't change much in fifty years, but nonbiological thinking will just crash through that. By 2049, nonbiological thinking capacity will be on the order of a billion times that. We'll get to the point where bio thinking is relatively insignificant.
"People didn't throw their typewriters away when word-processing started. There's always an overlap -- it'll take time before we realize how much more powerful nonbiological thinking will ultimately be."
It's well and good to talk about all the stuff we can do with technology, but it's a lot more important to talk about the stuff we'll be allowed to do with technology. Think of the global freak-out caused by the relatively trivial advent of peer-to-peer file-sharing tools: Universities are wiretapping their campuses and disciplining computer science students for writing legitimate, general purpose software; grandmothers and twelve-year-olds are losing their life savings; privacy and due process have sailed out the window without so much as a by-your-leave.
Even P2P's worst enemies admit that this is a general-purpose technology with good and bad uses, but when new tech comes along it often engenders a response that countenances punishing an infinite number of innocent people to get at the guilty.
What's going to happen when the new technology paradigm isn't song-swapping, but transcendent super-intelligence? Will the reactionary forces be justified in razing the whole ecosystem to eliminate a few parasites who are doing negative things with the new tools?
"Complex ecosystems will always have parasites. Malware [malicious software] is the most important battlefield today.
"Everything will become software -- objects will be malleable, we'll spend lots of time in VR, and computhought will be orders of magnitude more important than biothought.
"Software is already complex enough that we have an ecological terrain that has emerged just as it did in the bioworld.
"That's partly because technology is unregulated and people have access to the tools to create malware and the medicine to treat it. Today's software viruses are clever and stealthy and not simpleminded. Very clever.
"But here's the thing: you don't see people advocating shutting down the Internet because malware is so destructive. I mean, malware is potentially more than a nuisance -- emergency systems, air traffic control, and nuclear reactors all run on vulnerable software. It's an important issue, but the potential damage is still a tiny fraction of the benefit we get from the Internet.
"I hope it'll remain that way -- that the Internet won't become a regulated space like medicine. Malware's not the most important issue facing human society today. Designer bioviruses are. People are concerted about WMDs, but the most daunting WMD would be a designed biological virus. The means exist in college labs to create destructive viruses that erupt and spread silently with long incubation periods.
"Importantly, a would-be bio-terrorist doesn't have to put malware through the FDA's regulatory approval process, but scientists working to fix bio-malware do.
"In Huxley's Brave New World, the rationale for the totalitarian system was that technology was too dangerous and needed to be controlled. But that just pushes technology underground where it becomes less stable. Regulation gives the edge of power to the irresponsible who won't listen to the regulators anyway.
"The way to put more stones on the defense side of the scale is to put more resources into defensive technologies, not create a totalitarian regime of Draconian control.
"I advocate a one hundred billion dollar program to accelerate the development of anti-biological virus technology. The way to combat this is to develop broad tools to destroy viruses. We have tools like RNA interference, just discovered in the past two years to block gene expression. We could develop means to sequence the genes of a new virus (SARS only took thirty-one days) and respond to it in a matter of days.
"Think about it. There's no FDA for software, no certification for programmers. The government is thinking about it, though! The reason the FCC is contemplating Trusted Computing mandates," -- a system to restrict what a computer can do by means of hardware locks embedded on the motherboard -- "is that computing technology is broadening to cover everything. So now you have communications bureaucrats, biology bureaucrats, all wanting to regulate computers.
"Biology would be a lot more stable if we moved away from regulation -- which is extremely irrational and onerous and doesn't appropriately balance risks. Many medications are not available today even though they should be. The FDA always wants to know what happens if we approve this and will it turn into a thalidomide situation that embarrasses us on CNN?
"Nobody asks about the harm that will certainly accrue from delaying a treatment for one or more years. There's no political weight at all, people have been dying from diseases like heart disease and cancer for as long as we've been alive. Attributable risks get 100-1000 times more weight than unattributable risks."
Is this spirituality or science? Perhaps it is the melding of both -- more shades of Heinlein, this time the weird religions founded by people who took Stranger in a Strange Land way too seriously.
After all, this is a system of belief that dictates a means by which we can care for our bodies virtuously and live long enough to transcend them. It is a system of belief that concerns itself with the meddling of non-believers, who work to undermine its goals through irrational systems predicated on their disbelief. It is a system of belief that asks and answers the question of what it means to be human.
It's no wonder that the Singularity has come to occupy so much of the science fiction narrative in these years. Science or spirituality, you could hardly ask for a subject better tailored to technological speculation and drama.
$$$$
Wikipedia: a genuine Hitchhikers' Guide to the Galaxy -- minus the editors
(Originally published in The Anthology at the End of the Universe, April 2005)
"Mostly Harmless" -- a phrase so funny that Adams actually titled a book after it. Not that there's a lot of comedy inherent in those two words: rather, they're the punchline to a joke that anyone who's ever written for publication can really
But how can a machine evaluate which of a trillion models of a human brain is "most like" a conscious mind? Or better still: which one is most like the individual whose brain is being modeled?
"It is a sleight of hand in Spiritual Machines," Kurzweil admits. "But in The Singularity Is Near, I have an in-depth discussion about what we know about the brain and how to model it. Our tools for understanding the brain are subject to the Law of Accelerating Returns, and we've made more progress in reverse-engineering the human brain than most people realize." This is a tasty Kurzweilism that observes that improvements in technology yield tools for improving technology, round and round, so that the thing that progress begets more than anything is more and yet faster progress.
"Scanning resolution of human tissue -- both spatial and temporal -- is doubling every year, and so is our knowledge of the workings of the brain. The brain is not one big neural net, the brain is several hundred different regions, and we can understand each region, we can model the regions with mathematics, most of which have some nexus with chaos and self-organizing systems. This has already been done for a couple dozen regions out of the several hundred.
"We have a good model of a dozen or so regions of the auditory and visual cortex, how we strip images down to very low-resolution movies based on pattern recognition. Interestingly, we don't actually see things, we essentially hallucinate them in detail from what we see from these low resolution cues. Past the early phases of the visual cortex, detail doesn't reach the brain.
"We are getting exponentially more knowledge. We can get detailed scans of neurons working in vivo, and are beginning to understand the chaotic algorithms underlying human intelligence. In some cases, we are getting comparable performance of brain regions in simulation. These tools will continue to grow in detail and sophistication.
"We can have confidence of reverse-engineering the brain in twenty years or so. The reason that brain reverse engineering has not contributed much to artificial intelligence is that up until recently we didn't have the right tools. If I gave you a computer and a few magnetic sensors and asked you to reverse-engineer it, you might figure out that there's a magnetic device spinning when a file is saved, but you'd never get at the instruction set. Once you reverse-engineer the computer fully, however, you can express its principles of operation in just a few dozen pages.
"Now there are new tools that let us see the interneuronal connections and their signaling, in vivo, and in real-time. We're just now getting these tools and there's very rapid application of the tools to obtain the data.
"Twenty years from now we will have realistic simulations and models of all the regions of the brain and [we will] understand how they work. We won't blindly or mindlessly copy those methods, we will understand them and use them to improve our AI toolkit. So we'll learn how the brain works and then apply the sophisticated tools that we will obtain, as we discover how the brain works.
"Once we understand a subtle science principle, we can isolate, amplify, and expand it. Air goes faster over a curved surface: from that insight we isolated, amplified, and expanded the idea and invented air travel. We'll do the same with intelligence.
"Progress is exponential -- not just a measure of power of computation, number of Internet nodes, and magnetic spots on a hard disk -- the rate of paradigm shift is itself accelerating, doubling every decade. Scientists look at a problem and they intuitively conclude that since we've solved 1 percent over the last year, it'll therefore be one hundred years until the problem is exhausted: but the rate of progress doubles every decade, and the power of the information tools (in price-performance, resolution, bandwidth, and so on) doubles every year. People, even scientists, don't grasp exponential growth. During the first decade of the human genome project, we only solved 2 percent of the problem, but we solved the remaining 98 percent in five years."
But Kurzweil doesn't think that the future will arrive in a rush. As William Gibson observed, "The future is here, it's just not evenly distributed."
"Sure, it'd be interesting to take a human brain, scan it, reinstantiate the brain, and run it on another substrate. That will ultimately happen."
"But the most salient scenario is that we'll gradually merge with our technology. We'll use nanobots to kill pathogens, then to kill cancer cells, and then they'll go into our brain and do benign things there like augment our memory, and very gradually they'll get more and more sophisticated. There's no single great leap, but there is ultimately a great leap comprised of many small steps.
"In The Singularity Is Near, I describe the radically different world of 2040, and how we'll get there one benign change at a time. The Singularity will be gradual, smooth.
"Really, this is about augmenting our biological thinking with nonbiological thinking. We have a capacity of 1026 to 1029 calculations per second (cps) in the approximately 1010 biological human brains on Earth and that number won't change much in fifty years, but nonbiological thinking will just crash through that. By 2049, nonbiological thinking capacity will be on the order of a billion times that. We'll get to the point where bio thinking is relatively insignificant.
"People didn't throw their typewriters away when word-processing started. There's always an overlap -- it'll take time before we realize how much more powerful nonbiological thinking will ultimately be."
It's well and good to talk about all the stuff we can do with technology, but it's a lot more important to talk about the stuff we'll be allowed to do with technology. Think of the global freak-out caused by the relatively trivial advent of peer-to-peer file-sharing tools: Universities are wiretapping their campuses and disciplining computer science students for writing legitimate, general purpose software; grandmothers and twelve-year-olds are losing their life savings; privacy and due process have sailed out the window without so much as a by-your-leave.
Even P2P's worst enemies admit that this is a general-purpose technology with good and bad uses, but when new tech comes along it often engenders a response that countenances punishing an infinite number of innocent people to get at the guilty.
What's going to happen when the new technology paradigm isn't song-swapping, but transcendent super-intelligence? Will the reactionary forces be justified in razing the whole ecosystem to eliminate a few parasites who are doing negative things with the new tools?
"Complex ecosystems will always have parasites. Malware [malicious software] is the most important battlefield today.
"Everything will become software -- objects will be malleable, we'll spend lots of time in VR, and computhought will be orders of magnitude more important than biothought.
"Software is already complex enough that we have an ecological terrain that has emerged just as it did in the bioworld.
"That's partly because technology is unregulated and people have access to the tools to create malware and the medicine to treat it. Today's software viruses are clever and stealthy and not simpleminded. Very clever.
"But here's the thing: you don't see people advocating shutting down the Internet because malware is so destructive. I mean, malware is potentially more than a nuisance -- emergency systems, air traffic control, and nuclear reactors all run on vulnerable software. It's an important issue, but the potential damage is still a tiny fraction of the benefit we get from the Internet.
"I hope it'll remain that way -- that the Internet won't become a regulated space like medicine. Malware's not the most important issue facing human society today. Designer bioviruses are. People are concerted about WMDs, but the most daunting WMD would be a designed biological virus. The means exist in college labs to create destructive viruses that erupt and spread silently with long incubation periods.
"Importantly, a would-be bio-terrorist doesn't have to put malware through the FDA's regulatory approval process, but scientists working to fix bio-malware do.
"In Huxley's Brave New World, the rationale for the totalitarian system was that technology was too dangerous and needed to be controlled. But that just pushes technology underground where it becomes less stable. Regulation gives the edge of power to the irresponsible who won't listen to the regulators anyway.
"The way to put more stones on the defense side of the scale is to put more resources into defensive technologies, not create a totalitarian regime of Draconian control.
"I advocate a one hundred billion dollar program to accelerate the development of anti-biological virus technology. The way to combat this is to develop broad tools to destroy viruses. We have tools like RNA interference, just discovered in the past two years to block gene expression. We could develop means to sequence the genes of a new virus (SARS only took thirty-one days) and respond to it in a matter of days.
"Think about it. There's no FDA for software, no certification for programmers. The government is thinking about it, though! The reason the FCC is contemplating Trusted Computing mandates," -- a system to restrict what a computer can do by means of hardware locks embedded on the motherboard -- "is that computing technology is broadening to cover everything. So now you have communications bureaucrats, biology bureaucrats, all wanting to regulate computers.
"Biology would be a lot more stable if we moved away from regulation -- which is extremely irrational and onerous and doesn't appropriately balance risks. Many medications are not available today even though they should be. The FDA always wants to know what happens if we approve this and will it turn into a thalidomide situation that embarrasses us on CNN?
"Nobody asks about the harm that will certainly accrue from delaying a treatment for one or more years. There's no political weight at all, people have been dying from diseases like heart disease and cancer for as long as we've been alive. Attributable risks get 100-1000 times more weight than unattributable risks."
Is this spirituality or science? Perhaps it is the melding of both -- more shades of Heinlein, this time the weird religions founded by people who took Stranger in a Strange Land way too seriously.
After all, this is a system of belief that dictates a means by which we can care for our bodies virtuously and live long enough to transcend them. It is a system of belief that concerns itself with the meddling of non-believers, who work to undermine its goals through irrational systems predicated on their disbelief. It is a system of belief that asks and answers the question of what it means to be human.
It's no wonder that the Singularity has come to occupy so much of the science fiction narrative in these years. Science or spirituality, you could hardly ask for a subject better tailored to technological speculation and drama.
$$$$
Wikipedia: a genuine Hitchhikers' Guide to the Galaxy -- minus the editors
(Originally published in The Anthology at the End of the Universe, April 2005)
"Mostly Harmless" -- a phrase so funny that Adams actually titled a book after it. Not that there's a lot of comedy inherent in those two words: rather, they're the punchline to a joke that anyone who's ever written for publication can really
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