brain emulation

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pages: 574 words: 164,509

Superintelligence: Paths, Dangers, Strategies by Nick Bostrom

agricultural Revolution, AI winter, Albert Einstein, algorithmic trading, anthropic principle, Anthropocene, anti-communist, artificial general intelligence, autism spectrum disorder, autonomous vehicles, backpropagation, barriers to entry, Bayesian statistics, bioinformatics, brain emulation, cloud computing, combinatorial explosion, computer vision, Computing Machinery and Intelligence, cosmological constant, dark matter, DARPA: Urban Challenge, data acquisition, delayed gratification, Demis Hassabis, demographic transition, different worldview, Donald Knuth, Douglas Hofstadter, driverless car, Drosophila, Elon Musk, en.wikipedia.org, endogenous growth, epigenetics, fear of failure, Flash crash, Flynn Effect, friendly AI, general purpose technology, Geoffrey Hinton, Gödel, Escher, Bach, hallucination problem, Hans Moravec, income inequality, industrial robot, informal economy, information retrieval, interchangeable parts, iterative process, job automation, John Markoff, John von Neumann, knowledge worker, Large Hadron Collider, longitudinal study, machine translation, megaproject, Menlo Park, meta-analysis, mutually assured destruction, Nash equilibrium, Netflix Prize, new economy, Nick Bostrom, Norbert Wiener, NP-complete, nuclear winter, operational security, optical character recognition, paperclip maximiser, pattern recognition, performance metric, phenotype, prediction markets, price stability, principal–agent problem, race to the bottom, random walk, Ray Kurzweil, recommendation engine, reversible computing, search costs, social graph, speech recognition, Stanislav Petrov, statistical model, stem cell, Stephen Hawking, Strategic Defense Initiative, strong AI, superintelligent machines, supervolcano, synthetic biology, technological singularity, technoutopianism, The Coming Technological Singularity, The Nature of the Firm, Thomas Kuhn: the structure of scientific revolutions, time dilation, Tragedy of the Commons, transaction costs, trolley problem, Turing machine, Vernor Vinge, WarGames: Global Thermonuclear War, Watson beat the top human players on Jeopardy!, World Values Survey, zero-sum game

One reason, discussed earlier, is that a later arrival of superintelligence may be preferable, in order to allow more time for progress on the control problem and for other favorable background trends to culminate—and thus, if one were confident that whole brain emulation would precede AI anyway, it would be counterproductive to further hasten the arrival of whole brain emulation. But even if it were the case that it would be best for whole brain emulation to arrive as soon as possible, it still would not follow that we ought to favor progress toward whole brain emulation. For it is possible that progress toward whole brain emulation will not yield whole brain emulation. It may instead yield neuromorphic artificial intelligence—forms of AI that mimic some aspects of cortical organization but do not replicate neuronal functionality with sufficient fidelity to constitute a proper emulation.

We will shortly have more to say about the relative danger of whole brain emulation, neuromorphic AI, and synthetic AI, but we can already flag another important technology coupling: that between whole brain emulation and AI. Even if a push toward whole brain emulation actually resulted in whole brain emulation (as opposed to neuromorphic AI), and even if the arrival of whole brain emulation could be safely handled, a further risk would still remain: the risk associated with a second transition, a transition from whole brain emulation to AI, which is an ultimately more powerful form of machine intelligence.

Depending on one’s views on human nature, this might or might not be reassuring.22 iii It is not clear why whole brain emulation should result in a slower takeoff than artificial intelligence. Perhaps with whole brain emulation one should expect less hardware overhang, since whole brain emulation is less computationally efficient than artificial intelligence can be. Perhaps, also, an AI system could more easily absorb all available computing power into one giant integrated intellect, whereas whole brain emulation would forego quality superintelligence and pull ahead of humanity only in speed and size of population. If whole brain emulation does lead to a slower takeoff, this could have benefits in terms of alleviating the control problem.


pages: 589 words: 147,053

The Age of Em: Work, Love and Life When Robots Rule the Earth by Robin Hanson

8-hour work day, artificial general intelligence, augmented reality, Berlin Wall, bitcoin, blockchain, brain emulation, business cycle, business process, Clayton Christensen, cloud computing, correlation does not imply causation, creative destruction, deep learning, demographic transition, Erik Brynjolfsson, Ethereum, ethereum blockchain, experimental subject, fault tolerance, financial intermediation, Flynn Effect, Future Shock, Herman Kahn, hindsight bias, information asymmetry, job automation, job satisfaction, John Markoff, Just-in-time delivery, lone genius, Machinery of Freedom by David Friedman, market design, megaproject, meta-analysis, Nash equilibrium, new economy, Nick Bostrom, pneumatic tube, power law, prediction markets, quantum cryptography, rent control, rent-seeking, reversible computing, risk tolerance, Silicon Valley, smart contracts, social distancing, statistical model, stem cell, Thomas Malthus, trade route, Turing test, Tyler Cowen, Vernor Vinge, William MacAskill

In addition, any em can be tweaked in a limited number of ways. Artificial Intelligence Brain emulation is not the only possible way to make machines that can do almost all human jobs. For over a half-century, researchers in “artificial intelligence” (AI) have tried to directly and explicitly design and write software to accomplish many of the impressive functions performed by the human brain. This AI approach to creating intelligent machines is very different from the direct brain emulation approach that is the focus of this book. Brain emulation is more like porting software from one machine to another machine. To port software, one need only write software for the new machine that allows that machine to emulate the machine language of the old machine.

“Cracking the Code of Mass Customization.” MIT Sloan Management Review 50(3): 70–79. Sandberg, Anders. 2014. “Monte Carlo model of brain emulation development.” Working Paper 2014–1 (version 1.2), Future of Humanity Institute. http://www.aleph.se/papers/Monte%20Carlo%20model%20of%20brain%20emulation%20development.pdf. Sandberg, Anders, and Nick Bostrom. 2008. “Whole Brain Emulation: A Roadmap.” Technical Report #2008–2003, Future of Humanity Institute, Oxford University. http://www.fhi.ox.ac.uk/__data/assets/pdf_file/0019/3853/brain-emulation-roadmap-report.pdf. Sandstrom, Gillian, and Elizabeth Dunn. 2014. “Social Interactions and Well-Being: The Surprising Power of Weak Ties.”

If so, I aim to show that you were told wrong. My method is simple. I will start with a particular very disruptive technology often foreseen in futurism and science fiction: brain emulations, in which brains are recorded, copied, and used to make artificial “robot” minds. I will then use standard theories from many physical, human, and social sciences to describe in detail what a world with that future technology would look like. I may be wrong about some consequences of brain emulations, and I may misapply some science. Even so, the view I offer will still show just how troublingly strange the future can be. So let us begin.


pages: 144 words: 43,356

Surviving AI: The Promise and Peril of Artificial Intelligence by Calum Chace

3D printing, Ada Lovelace, AI winter, Airbnb, Alvin Toffler, artificial general intelligence, augmented reality, barriers to entry, basic income, bitcoin, Bletchley Park, blockchain, brain emulation, Buckminster Fuller, Charles Babbage, cloud computing, computer age, computer vision, correlation does not imply causation, credit crunch, cryptocurrency, cuban missile crisis, deep learning, DeepMind, dematerialisation, Demis Hassabis, discovery of the americas, disintermediation, don't be evil, driverless car, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, everywhere but in the productivity statistics, Flash crash, friendly AI, Geoffrey Hinton, Google Glasses, hedonic treadmill, hype cycle, industrial robot, Internet of things, invention of agriculture, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, Kevin Kelly, life extension, low skilled workers, machine translation, Mahatma Gandhi, means of production, mutually assured destruction, Neil Armstrong, Nicholas Carr, Nick Bostrom, paperclip maximiser, pattern recognition, peer-to-peer, peer-to-peer model, Peter Thiel, radical life extension, Ray Kurzweil, Robert Solow, Rodney Brooks, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley ideology, Skype, South Sea Bubble, speech recognition, Stanislav Petrov, Stephen Hawking, Steve Jobs, strong AI, technological singularity, TED Talk, The future is already here, The Future of Employment, theory of mind, Turing machine, Turing test, universal basic income, Vernor Vinge, wage slave, Wall-E, zero-sum game

However, it is not hard to imagine that if and when the prospect of conscious machines comes closer, the research may come under fire from particularly ardent worshippers. In the next three sections we will look at three ways to build a mind – an artificial system which can perform all the intellectual activities that an adult human can. They are: Whole brain emulation Building on artificial narrow intelligence A comprehensive theory of mind 4.2 – Whole brain emulation Whole brain emulation is the process of modelling (copying or replicating) the structures of a brain in very fine detail such that the model produces the same output as the original. So if a brain produces a mind, then the emulation (the model) produces a mind also.

If the replicated mind is approximately the same, but differs in some important respects it is called a simulation. Modelling a brain entails capturing the wiring diagram of the brain down a fine level of detail. The wiring diagram is called the connectome, by analogy with the genome, which is the map of an organism’s genetic material. Whole brain emulation is a mammoth undertaking. A human brain contains around 85 billion neurons (brain cells) and each neuron may have a thousand connections to other neurons. Imagine you could give every inhabitant of New York City a thousand pieces of string and tell them to hand the other end of each piece of string to a thousand other inhabitants, and have each piece of string send two hundred signals per second.

Imagine you could give every inhabitant of New York City a thousand pieces of string and tell them to hand the other end of each piece of string to a thousand other inhabitants, and have each piece of string send two hundred signals per second. Now multiply the city by a factor of ten thousand. That is a model of a human brain. It is often said to be the most complicated thing that we know of in the whole universe. To make the job of brain emulation more complex, individual neurons – the cells which brains are made up of – are not simple beasts. They consist of a cell body, an axon to transmit signals to other neurons, and a number of dendrites to receive signals. Axons and dendrites pass signals to each other across gaps called synapses.


pages: 252 words: 79,452

To Be a Machine: Adventures Among Cyborgs, Utopians, Hackers, and the Futurists Solving the Modest Problem of Death by Mark O'Connell

"World Economic Forum" Davos, 3D printing, Ada Lovelace, AI winter, Airbnb, Albert Einstein, AlphaGo, Amazon Picking Challenge, artificial general intelligence, Bletchley Park, Boston Dynamics, brain emulation, Charles Babbage, clean water, cognitive dissonance, computer age, cosmological principle, dark matter, DeepMind, disruptive innovation, double helix, Edward Snowden, effective altruism, Elon Musk, Extropian, friendly AI, global pandemic, Great Leap Forward, Hans Moravec, impulse control, income inequality, invention of the wheel, Jacques de Vaucanson, John von Neumann, knowledge economy, Law of Accelerating Returns, Lewis Mumford, life extension, lifelogging, Lyft, Mars Rover, means of production, military-industrial complex, Nick Bostrom, Norbert Wiener, paperclip maximiser, Peter Thiel, profit motive, radical life extension, Ray Kurzweil, RFID, San Francisco homelessness, self-driving car, sharing economy, Silicon Valley, Silicon Valley billionaire, Silicon Valley ideology, Singularitarianism, Skype, SoftBank, Stephen Hawking, Steve Wozniak, superintelligent machines, tech billionaire, technological singularity, technoutopianism, TED Talk, The Coming Technological Singularity, Travis Kalanick, trickle-down economics, Turing machine, uber lyft, Vernor Vinge

Randal had mentioned his name on several occasions during our discussions—both as someone broadly supportive of whole brain emulation and whose work was of significant relevance to that project—and Boyden had been a speaker at the Global Future 2045 event in New York the previous year. It was Boyden’s belief, he told me, that it would eventually be possible to build neuroprosthetic replacements for brain parts—which, if you take the Ship of Theseus view of things, is essentially the same as believing that whole brain emulation is possible. “Our goal is to solve the brain,” he said. He was referring here to the ultimate goal of neuroscience, which was to understand how the brain did what it did, how its billions of neurons, and the trillions of connections between them, organized themselves in such a way as to produce specific phenomena of consciousness.

Into a computable form?” “Yes,” said Boyden. “That’s the hope.” I felt that he was holding back from telling me he believed that whole brain emulations would at some point become a reality, but it was clear that he felt the principle to be sound, in a way that Nicolelis did not. And what he was telling me, ultimately, was that whether or not it led to it in the end, and whether or not it was his own ultimate goal, the kind of research that was necessary for the achievement of whole brain emulation was precisely the kind of research he himself was doing at MIT. This was all clearly a very long way from where Randal wanted to get to, a very long way from his mind, or mine, or yours, on a laptop screen, with its hundred billion firing neurons glimmering with the light of purified consciousness.

The conversation had turned to Ray Kurzweil, the inventor and entrepreneur and director of engineering at Google who had popularized the idea of the Technological Singularity, an eschatological prophecy about how the advent of AI will usher in a new human dispensation, a merger of people and machines, and a final eradication of death. Anders was saying that Kurzweil’s view of brain emulation, among other things, was too crude, that it totally ignored what he called the “subcortical mess of motivations.” “Emotions!” said the Frenchwoman, emotionally. “He doesn’t need emotions! That is why!” “That might be true,” said Alberto. “He wants to become a machine!” she said. “That is what he really wants to be!”


pages: 798 words: 240,182

The Transhumanist Reader by Max More, Natasha Vita-More

"World Economic Forum" Davos, 23andMe, Any sufficiently advanced technology is indistinguishable from magic, artificial general intelligence, augmented reality, Bill Joy: nanobots, bioinformatics, brain emulation, Buckminster Fuller, cellular automata, clean water, cloud computing, cognitive bias, cognitive dissonance, combinatorial explosion, Computing Machinery and Intelligence, conceptual framework, Conway's Game of Life, cosmological principle, data acquisition, discovery of DNA, Douglas Engelbart, Drosophila, en.wikipedia.org, endogenous growth, experimental subject, Extropian, fault tolerance, Flynn Effect, Francis Fukuyama: the end of history, Frank Gehry, friendly AI, Future Shock, game design, germ theory of disease, Hans Moravec, hypertext link, impulse control, index fund, John von Neumann, joint-stock company, Kevin Kelly, Law of Accelerating Returns, life extension, lifelogging, Louis Pasteur, Menlo Park, meta-analysis, moral hazard, Network effects, Nick Bostrom, Norbert Wiener, pattern recognition, Pepto Bismol, phenotype, positional goods, power law, precautionary principle, prediction markets, presumed consent, Project Xanadu, public intellectual, radical life extension, Ray Kurzweil, reversible computing, RFID, Ronald Reagan, scientific worldview, silicon-based life, Singularitarianism, social intelligence, stem cell, stochastic process, superintelligent machines, supply-chain management, supply-chain management software, synthetic biology, systems thinking, technological determinism, technological singularity, Ted Nelson, telepresence, telepresence robot, telerobotics, the built environment, The Coming Technological Singularity, the scientific method, The Wisdom of Crowds, transaction costs, Turing machine, Turing test, Upton Sinclair, Vernor Vinge, Von Neumann architecture, VTOL, Whole Earth Review, women in the workforce, zero-sum game

He authored Citizen Cyborg: Why Democratic Societies Must Respond to the Redesigned Human of the Future (Basic Books, 2004); and “Embracing Change with All Four Arms: A Post-Humanist Defense of Genetic Engineering” (Eubios Journal of Asian and International Bioethics 6, 1996). Randal A. Koene, PhD, is Founder and CEO, Carboncopies.org. He authored “Fundamentals of Whole Brain Emulation: State, Transition and Update Representations” (International Journal on Machine Consciousness 4, 2012); and “Embracing Competitive Balance: The Case for Substrate-Independent Minds and Whole Brain Emulation” (The Singularity Hypothesis: A Scientific and Philosophical Assessment, Springer, 2012). Ray Kurzweil, PhD, is Founder, Kurzweil Technologies, Inc., Co-Founder and Chancellor, Singularity University.

And in terms of their activity those components are mostly quiet. I coined the term whole brain emulation around February/March of 2000 during a discussion on the old “mind uploading research group” (MURG) mailing list, in an effort to remove ­confusion stemming from the use of the term “mind uploading”, which better refers to a process of transfer of a mind from a biological brain to another substrate. It has since found a home in mainstream neuroscience, although the less specific term “brain emulation” is also frequently used when a project does not take on the scope of whole brains. The concept of emulation, as opposed to simulation (a term in common use where models in computational neuroscience are involved), refers to the running of an exact copy of the functions of mind on another processing platform.

Where astrophysics focuses on the physical or chemical properties of celestial bodies, cosmology focuses on the properties of our universe as a whole, in the one form in which it exists, of many possible forms allowed by physical properties. By now, you can probably tell that a whole brain emulation takes a very specific tack in its approach to achieving substrate-independent minds. We consider whole brain emulation the most conservative approach. If we understood a lot more about the way the mind works and how brain produces mind then we might have far more creative or effective ways to achieve a transfer (an “upload”) from a biological brain to another substrate.


pages: 377 words: 97,144

Singularity Rising: Surviving and Thriving in a Smarter, Richer, and More Dangerous World by James D. Miller

23andMe, affirmative action, Albert Einstein, artificial general intelligence, Asperger Syndrome, barriers to entry, brain emulation, cloud computing, cognitive bias, correlation does not imply causation, crowdsourcing, Daniel Kahneman / Amos Tversky, David Brooks, David Ricardo: comparative advantage, Deng Xiaoping, en.wikipedia.org, feminist movement, Flynn Effect, friendly AI, hive mind, impulse control, indoor plumbing, invention of agriculture, Isaac Newton, John Gilmore, John von Neumann, knowledge worker, Larry Ellison, Long Term Capital Management, low interest rates, low skilled workers, Netflix Prize, neurotypical, Nick Bostrom, Norman Macrae, pattern recognition, Peter Thiel, phenotype, placebo effect, prisoner's dilemma, profit maximization, Ray Kurzweil, recommendation engine, reversible computing, Richard Feynman, Rodney Brooks, Silicon Valley, Singularitarianism, Skype, statistical model, Stephen Hawking, Steve Jobs, sugar pill, supervolcano, tech billionaire, technological singularity, The Coming Technological Singularity, the scientific method, Thomas Malthus, transaction costs, Turing test, twin studies, Vernor Vinge, Von Neumann architecture

Kurzweil foresees mankind colonizing the universe at almost the maximum speed allowed by the laws of physics.59 I’m uncertain whether bioengineers will ever be able to figure out how to make extremely smart people by integrating computers into our brains. But the possibility that this could happen is a path to the Singularity that mankind has a reasonable chance of following. 2.Whole Brain Emulation An argument against using the brain as the basis for AI is that our brains are so complex it might take centuries for us to understand them well enough to merge them with machines. But even if we don’t completely understand how the brain works, we still might be able to create machine emulations of it. Brain emulation would essentially be an “upload” of a human brain into a computer. Assuming sufficiently high fidelity in both simulation and brain scanning, the emulation would think just as the original, biological human did.

Consequently, there’s an excellent chance that the software “essences” of our brains are robust enough that they could survive being ported to a machine. Of course, porting might introduce alterations that evolution never had a chance to protect us against, so the changes might make our brains nonfunctional. But whole brain emulation is still a path to the Singularity that could work, even if a Kurzweilian merger proves beyond the capacity of bioengineers. If we had whole brain emulations, Moore’s Law would eventually give us some kind of Singularity. Imagine we just simulated the brain of John von Neumann. If the (software adjusted) speed of computers doubled every year, then in twenty years we could run this software on computers that were a million times faster and in forty years on computers that were a trillion times faster.

Doing this wouldn’t require me to understand why a game had blue dots. Once my computer had the emulator, it could run any Atari game without my having to understand how the software worked. An emulator for the human brain, similarly, could allow the uploading of a brain by someone ignorant of most of the brain’s biochemistry. The success of whole brain emulations would, in large part, come down to how well our brains can handle small changes because the emulations would never be perfect. Human brains, however, are extremely robust to environmental stress. You could hit someone, infect his brain with parasites, raise or lower the temperature of his environment, and feed him lots of strange information, and he’d probably still be able to think pretty much the way he did before.68 Evolution designed our brains to not go crazy when they encounter an unfamiliar environment.


pages: 372 words: 101,174

How to Create a Mind: The Secret of Human Thought Revealed by Ray Kurzweil

Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Albert Einstein, Albert Michelson, anesthesia awareness, anthropic principle, brain emulation, cellular automata, Charles Babbage, Claude Shannon: information theory, cloud computing, computer age, Computing Machinery and Intelligence, Dean Kamen, discovery of DNA, double helix, driverless car, en.wikipedia.org, epigenetics, George Gilder, Google Earth, Hans Moravec, Isaac Newton, iterative process, Jacquard loom, Jeff Hawkins, John von Neumann, Law of Accelerating Returns, linear programming, Loebner Prize, mandelbrot fractal, Nick Bostrom, Norbert Wiener, optical character recognition, PalmPilot, pattern recognition, Peter Thiel, Ralph Waldo Emerson, random walk, Ray Kurzweil, reversible computing, selective serotonin reuptake inhibitor (SSRI), self-driving car, speech recognition, Steven Pinker, strong AI, the scientific method, theory of mind, Turing complete, Turing machine, Turing test, Wall-E, Watson beat the top human players on Jeopardy!, X Prize

The report projects ongoing exponential gains in all of these areas of capability and argues that the requirements to simulate the human brain at a high level of detail are coming into place. An outline of the technological capabilities needed for whole brain emulation, in Whole Brain Emulation: A Roadmap by Anders Sandberg and Nick Bostrom. An outline of Whole Brain Emulation: A Roadmap by Anders Sandberg and Nick Bostrom. Neural Nets In 1964, at the age of sixteen, I wrote to Frank Rosenblatt (1928–1971), a professor at Cornell University, inquiring about a machine called the Mark 1 Perceptron. He had created it four years earlier, and it was described as having brainlike properties.

Wedeen and his colleagues at Massachusetts General Hospital showing a highly regular gridlike structure of the wiring of the neocortex that I described in chapter 4 is one early result from this project. Oxford University computational neuroscientist Anders Sandberg (born in 1972) and Swedish philosopher Nick Bostrom (born in 1973) have written the comprehensive Whole Brain Emulation: A Roadmap, which details the requirements for simulating the human brain (and other types of brains) at different levels of specificity from high-level functional models to simulating molecules.8 The report does not provide a timeline, but it does describe the requirements to simulate different types of brains at varying levels of precision in terms of brain scanning, modeling, storage, and computation.

Jonah Lehrer, “Can a Thinking, Remembering, Decision-Making Biologically Accurate Brain Be Built from a Supercomputer?” Seed, http://seedmagazine.com/content/article/out_of_the_blue/. 6. Fildes, “Artificial Brain ‘10 Years Away.’” 7. See http://www.humanconnectomeproject.org/. 8. Anders Sandberg and Nick Bostrom, Whole Brain Emulation: A Roadmap, Technical Report #2008–3 (2008), Future of Humanity Institute, Oxford University, www.fhi.ox.ac.uk/reports/2008‐3.pdf. 9. Here is the basic schema for a neural net algorithm. Many variations are possible, and the designer of the system needs to provide certain critical parameters and methods, detailed on the following pages.


pages: 326 words: 88,968

The Science and Technology of Growing Young: An Insider's Guide to the Breakthroughs That Will Dramatically Extend Our Lifespan . . . And What You Can Do Right Now by Sergey Young

23andMe, 3D printing, Albert Einstein, artificial general intelligence, augmented reality, basic income, Big Tech, bioinformatics, Biosphere 2, brain emulation, caloric restriction, caloric restriction, Charles Lindbergh, classic study, clean water, cloud computing, cognitive bias, computer vision, coronavirus, COVID-19, CRISPR, deep learning, digital twin, diversified portfolio, Doomsday Clock, double helix, Easter island, Elon Musk, en.wikipedia.org, epigenetics, European colonialism, game design, Gavin Belson, George Floyd, global pandemic, hockey-stick growth, impulse control, Internet of things, late capitalism, Law of Accelerating Returns, life extension, lockdown, Lyft, Mark Zuckerberg, meta-analysis, microbiome, microdosing, moral hazard, mouse model, natural language processing, personalized medicine, plant based meat, precision agriculture, radical life extension, Ralph Waldo Emerson, Ray Kurzweil, Richard Feynman, ride hailing / ride sharing, Ronald Reagan, self-driving car, seminal paper, Silicon Valley, stem cell, Steve Jobs, tech billionaire, TED Talk, uber lyft, ultra-processed food, universal basic income, Virgin Galactic, Vision Fund, X Prize

Steve Horvath, who developed the first epigenetic clock—a method of measuring age biologically, rather than merely by your birthdate. I have also sat with visionary futurists like Susumu Tachi, PhD, who invented the concept of human avatars, which he calls telexistence, a highly realistic form of remote virtual reality; Anders Sandberg, PhD, one of the few true experts on whole brain emulation and technical immortality; as well as extraordinary polymaths, such as organ regeneration and pharmaceutical entrepreneur Martine Rothblatt, PhD; prolific inventor Dr. Robert Langer, a cofounder of Moderna, which you may recognize as the company that developed one of the first COVID-19 vaccines, also known as the Edison of Medicine; and Jamie Metzl, public policy expert and the author of Hacking Darwin: Genetic Engineering and the Future of Humanity.

Take that yet one step further—what if the artificial intelligence controlling the avatar was actually you? What if your consciousness could be digitized and stored in the cloud, ready to be accessed by any computing device or avatar that you wished, whether your original physical body continued to exist or not? That is the premise of “whole brain emulation,” a project spearheaded by Anders Sandberg, a Swedish neuroscientist, futurist, and researcher at the Oxford Future of Humanity Institute. Anders and others believe that it may be possible to digitally simulate all the neurons of the brain and the electrochemical signals that are exchanged between them.

If it is possible to identify exactly the pattern of impulses that takes place with every thought, every action, every emotion, then this can be fully replicated by a computer program. With the help of quantum computing and AGI, it could become so accurate that the emulated you would be indistinguishable from the original you. Using advanced scanning technology, microscopes, and mathematics, Anders believes this is entirely possible. These whole-brain emulations could be deployed anywhere—even in multiple places simultaneously. Want to understand quantum physics? Summon up Richard Feynman or Albert Einstein for a chat. Need a visionary business genius to help your company through its next transformation? Download Steve Jobs or Tony Robbins. Throwing a big bash for your 150th birthday party?


When Computers Can Think: The Artificial Intelligence Singularity by Anthony Berglas, William Black, Samantha Thalind, Max Scratchmann, Michelle Estes

3D printing, Abraham Maslow, AI winter, air gap, anthropic principle, artificial general intelligence, Asilomar, augmented reality, Automated Insights, autonomous vehicles, availability heuristic, backpropagation, blue-collar work, Boston Dynamics, brain emulation, call centre, cognitive bias, combinatorial explosion, computer vision, Computing Machinery and Intelligence, create, read, update, delete, cuban missile crisis, David Attenborough, DeepMind, disinformation, driverless car, Elon Musk, en.wikipedia.org, epigenetics, Ernest Rutherford, factory automation, feminist movement, finite state, Flynn Effect, friendly AI, general-purpose programming language, Google Glasses, Google X / Alphabet X, Gödel, Escher, Bach, Hans Moravec, industrial robot, Isaac Newton, job automation, John von Neumann, Law of Accelerating Returns, license plate recognition, Mahatma Gandhi, mandelbrot fractal, natural language processing, Nick Bostrom, Parkinson's law, patent troll, patient HM, pattern recognition, phenotype, ransomware, Ray Kurzweil, Recombinant DNA, self-driving car, semantic web, Silicon Valley, Singularitarianism, Skype, sorting algorithm, speech recognition, statistical model, stem cell, Stephen Hawking, Stuxnet, superintelligent machines, technological singularity, Thomas Malthus, Turing machine, Turing test, uranium enrichment, Von Neumann architecture, Watson beat the top human players on Jeopardy!, wikimedia commons, zero day

To be fair, Yudkowsky has never said that building a friendly AGI would be easy, nor has he said that he knows how to do it. He merely states that if it is not done then humanity will be at grave risk from the AGIs that will almost certainly be built in the not-too-distant future. That is a premise with which this author is in full agreement. Whole brain emulation An alternative approach to producing an AGI is to focus on whole brain emulation because such an intelligence would be fundamentally human, and so would share our values. Doing this would only require an understanding of the physics of brains, not how cognition actually arises. This means that the AGI would have limited ability to recursively self-improve, so there would be more opportunity to understand and control it.

Freeze it 4. Show AGIs the light 5. Virtuous machines 6. Ethics 7. Infanticide 8. Three laws of robotics 9. Friendly AGI 10. Friendly AGI research 11. Fast take off 12. Single AGI 13. Goal consistency 14. Unpredictable algorithms 15. Ethics 16. Defeating natural selection 17. Wishful thinking 18. Whole brain emulation 19. Chain of AGIs 20. Running away 21. Just do not build an AGI 8. Political Will 1. Atom bombs 2. Iran's atomic ambitions 3. Stuxnet 4. Glass houses 5. Zero day exploits 6. Practicalities of abstinence 7. Restrict computer hardware 8. Asilomar conference 9. Patent trolls 10. Does it really matter?

It critiques the impressive early results in AI research, and then reviews various approaches to modelling the world formally using logic, and the difficulty of reasoning with uncertain knowledge. Building robots that can function in the real world introduces additional problems of vision and movement. Both artificial and biological neural networks are also described in some detail together with the practical difficulties involved with brain emulation. This part provides sufficient technical details to understand how the technologies actually work, but without using heavy mathematics. It should help raise the level of discussion about artificial intelligence. What will computers think about? Public, NASA supercomputer. The third part of the book considers what the true nature of an intelligent machine might be.


pages: 48 words: 12,437

Smarter Than Us: The Rise of Machine Intelligence by Stuart Armstrong

artificial general intelligence, brain emulation, effective altruism, Flash crash, friendly AI, machine translation, Nick Bostrom, shareholder value, Turing test

David John Chalmers, “The Singularity: A Philosophical Analysis,” Journal of Consciousness Studies 17, nos. 9–10 (2010): 7–65, http://www.ingentaconnect.com/content/imp/jcs/2010/00000017/f0020009/art00001. 5. Robin Hanson, “Economics of the Singularity,” IEEE Spectrum 45, no. 6 (2008): 45–50, doi:10.1109/MSPEC.2008.4531461; Robin Hanson, “The Economics of Brain Emulations,” in Unnatural Selection: The Challenges of Engineering Tomorrow’s People, ed. Peter Healey and Steve Rayner, Science in Society (Sterling, VA: Earthscan, 2009). 6. James Barrat, Our Final Invention: Artificial Intelligence and the End of the Human Era (New York: Thomas Dunne Books, 2013). 7. $750 million to develop the Mach3 alone (and another $300 million to market it).

“Nine Ways to Bias Open-Source AGI Toward Friendliness.” Journal of Evolution and Technology 22, no. 1 (2012): 116–131. http://jetpress.org/v22/goertzel-pitt.htm. Hanson, Robin. “Economics of the Singularity.” IEEE Spectrum 45, no. 6 (2008): 45–50. doi:10.1109/MSPEC.2008.4531461. ———. “The Economics of Brain Emulations.” In Unnatrual Selection: The Challenges of Engineering Tomorrow’s People, edited by Peter Healey and Steve Rayner. Science in Society. Sterling, VA: Earthscan, 2009. Hibbard, Bill. “Super-Intelligent Machines.” ACM SIGGRAPH Computer Graphics 35, no. 1 (2001): 13–15. http://www.siggraph.org/publications/newsletter/issues/v35/v35n1.pdf.


pages: 688 words: 147,571

Robot Rules: Regulating Artificial Intelligence by Jacob Turner

"World Economic Forum" Davos, Ada Lovelace, Affordable Care Act / Obamacare, AI winter, algorithmic bias, algorithmic trading, AlphaGo, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, autonomous vehicles, backpropagation, Basel III, bitcoin, Black Monday: stock market crash in 1987, blockchain, brain emulation, Brexit referendum, Cambridge Analytica, Charles Babbage, Clapham omnibus, cognitive dissonance, Computing Machinery and Intelligence, corporate governance, corporate social responsibility, correlation does not imply causation, crowdsourcing, data science, deep learning, DeepMind, Demis Hassabis, distributed ledger, don't be evil, Donald Trump, driverless car, easy for humans, difficult for computers, effective altruism, Elon Musk, financial exclusion, financial innovation, friendly fire, future of work, hallucination problem, hive mind, Internet of things, iterative process, job automation, John Markoff, John von Neumann, Loebner Prize, machine readable, machine translation, medical malpractice, Nate Silver, natural language processing, Nick Bostrom, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, nudge unit, obamacare, off grid, OpenAI, paperclip maximiser, pattern recognition, Peace of Westphalia, Philippa Foot, race to the bottom, Ray Kurzweil, Recombinant DNA, Rodney Brooks, self-driving car, Silicon Valley, Stanislav Petrov, Stephen Hawking, Steve Wozniak, strong AI, technological singularity, Tesla Model S, The Coming Technological Singularity, The Future of Employment, The Signal and the Noise by Nate Silver, trolley problem, Turing test, Vernor Vinge

Neural networks and machine learning are techniques which fall within this book’s definition of AI, but they are not the only technologies capable of doing so. This book’s definition of AI is intended to cover neural networks but also to be sufficiently flexible to encompass also other technologies which may become more prevalent in the future—one example being whole brain emulation (the science of attempting to map and then reproduce the entire structure of an animal brain). This functional definition may be under-inclusive from the perspective of those seeking a universal measure of intelligence. Unlike most other definitions, it does not attempt to encompass all the technologies which have traditionally been described as “intelligent”.

The precise boundaries between what is “human” and what is “artificial” for the purposes of ascribing rights are a matter beyond the scope of this chapter. The main point is that the distinction between human and technology may become increasingly fluid.122 A further biology-based route to AI through whole brain emulation does not aim to augment or update human brains, but rather to create an entirely new brain capable of intelligent thoughts, feelings and consciousness , using a combination of technology and bioengineering.123 As noted above, owing to her status as the first cloned mammal, throughout her life Dolly the sheep was monitored and cared for by teams of scientists and veterinarians, receiving state of the art care.124 In the same way that we treated this quasi-artificial sheep with equal or greater respect to a natural sheep, would we not do the same for an artificial human brain?

It has never been suggested that an attempt to regain lost brain functions by using artificial parts would entail a greater cost to his legal recognition”. 121“The World’s Most Famous Real-Life Cyborgs”, The Medical Futurist, http://​medicalfuturist.​com/​the-worlds-most-famous-real-life-cyborgs/​, accessed 1 June 2018. 122For further argument as to why technological advances should not lead to a reduction in rights, see also Nick Bostrom, “In Defence of Posthuman Dignity”, Journal of Value Inquiry, Vol. 37, No. 4 (2005), 493–506: “From the Transhumanist standpoint, there is no need to behave as if there were a deep moral difference between technological and other means of enhancing human lives. By defending posthuman dignity we promote a more inclusive and humane ethics, one that will embrace future technologically modified people as well as humans of the contemporary kind”. 123Anders Sandberg and Nicholas Bostrom, “Whole Brain Emulation: A Roadmap”, Technical Report #2008–3, Future of Humanity Institute, Oxford University, www.​fhi.​ox.​ac.​uk/​reports/​2008‐3.​pdf, accessed 1 June 2018. 124“Dolly the Sheep”, Website of National Museums Scotland, https://​www.​nms.​ac.​uk/​explore-our-collections/​stories/​natural-world/​dolly-the-sheep/​, accessed 1 June 2018. 125See, for instance, John Harris, “‘Goodbye Dolly?’


pages: 345 words: 104,404

Pandora's Brain by Calum Chace

AI winter, Any sufficiently advanced technology is indistinguishable from magic, artificial general intelligence, Bletchley Park, brain emulation, Extropian, friendly AI, hive mind, lateral thinking, machine translation, mega-rich, Nick Bostrom, precautionary principle, Ray Kurzweil, self-driving car, Silicon Valley, Singularitarianism, Skype, speech recognition, stealth mode startup, Stephen Hawking, strong AI, technological singularity, theory of mind, Turing test, Wall-E

His un-combed mousy-brown hair and lived-in white shirt and linen jacket, faded chinos and brown hiking shoes suggested that he cared far more about ideas than about appearances. After a brilliant academic career at Imperial College London, where he was a professor of neuroscience, he had surprised his peers by moving to India to establish a brain emulation project for the Indian government. He ran the project for ten years, before retiring to research and write about the ethics of transhumanism and brain emulation. He was extremely intelligent, and highly focused and logical, but he sometimes failed to acknowledge contrary lines of thought. As a result, some of his thinking appeared not only outlandish to his peers, but worse, naive.

People started to refer to Matt’s upload and subsequent disappearance as the ‘Sputnik moment’ for artificial intelligence: the day the balloon went up, the day people and governments began to take the prospect of machine intelligence seriously. Very seriously. Laws were passed in all major countries forbidding the initiation of a brain emulation or simulation, and international treaties were signed to underpin and help enforce these laws. Funding was withdrawn from several major research programmes around the world which were developing brain models for medical diagnostic purposes rather than mind emulation. Some of this funding was diverted to programmes designed to work out how a brain emulation could be guaranteed to be human-friendly, but it was obvious that the problem was immense. How do you pre-determine the goals and actions of a mind which is much smarter than its controllers, and getting even smarter all the time?


pages: 533

Future Politics: Living Together in a World Transformed by Tech by Jamie Susskind

3D printing, additive manufacturing, affirmative action, agricultural Revolution, Airbnb, airport security, algorithmic bias, AlphaGo, Amazon Robotics, Andrew Keen, Apollo Guidance Computer, artificial general intelligence, augmented reality, automated trading system, autonomous vehicles, basic income, Bertrand Russell: In Praise of Idleness, Big Tech, bitcoin, Bletchley Park, blockchain, Boeing 747, brain emulation, Brexit referendum, British Empire, business process, Cambridge Analytica, Capital in the Twenty-First Century by Thomas Piketty, cashless society, Cass Sunstein, cellular automata, Citizen Lab, cloud computing, commons-based peer production, computer age, computer vision, continuation of politics by other means, correlation does not imply causation, CRISPR, crowdsourcing, cryptocurrency, data science, deep learning, DeepMind, digital divide, digital map, disinformation, distributed ledger, Donald Trump, driverless car, easy for humans, difficult for computers, Edward Snowden, Elon Musk, en.wikipedia.org, end-to-end encryption, Erik Brynjolfsson, Ethereum, ethereum blockchain, Evgeny Morozov, fake news, Filter Bubble, future of work, Future Shock, Gabriella Coleman, Google bus, Google X / Alphabet X, Googley, industrial robot, informal economy, intangible asset, Internet of things, invention of the printing press, invention of writing, Isaac Newton, Jaron Lanier, John Markoff, Joseph Schumpeter, Kevin Kelly, knowledge economy, Large Hadron Collider, Lewis Mumford, lifelogging, machine translation, Metcalfe’s law, mittelstand, more computing power than Apollo, move fast and break things, natural language processing, Neil Armstrong, Network effects, new economy, Nick Bostrom, night-watchman state, Oculus Rift, Panopticon Jeremy Bentham, pattern recognition, payday loans, Philippa Foot, post-truth, power law, price discrimination, price mechanism, RAND corporation, ransomware, Ray Kurzweil, Richard Stallman, ride hailing / ride sharing, road to serfdom, Robert Mercer, Satoshi Nakamoto, Second Machine Age, selection bias, self-driving car, sexual politics, sharing economy, Silicon Valley, Silicon Valley startup, Skype, smart cities, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, smart contracts, Snapchat, speech recognition, Steve Bannon, Steve Jobs, Steve Wozniak, Steven Levy, tech bro, technological determinism, technological singularity, technological solutionism, the built environment, the Cathedral and the Bazaar, The Structural Transformation of the Public Sphere, The Wisdom of Crowds, Thomas L Friedman, Tragedy of the Commons, trolley problem, universal basic income, urban planning, Watson beat the top human players on Jeopardy!, work culture , working-age population, Yochai Benkler

There is a spectrum of approach, for instance, between those who seek to recreate the neural engineering of the human brain, just as ‘early designs for flying machines included flapping wings’, and those who employ entirely new techniques tailored for artificial computation.24 Some researchers seek the holy grail of an artificial general intelligence like the human mind, endowed with consciousness, creativity, common sense, and the ability to ‘think’ abstractly across different environments. One way to achieve this goal might be whole-brain emulation, currently being pursued in the Blue Brain project in Switzerland. This involves trying to map, simulate, and replicate the activity of the (more than) 80 billion neurons and tens of trillions of synapses in the human brain, together with the workings of the central nervous system.25 Whole-brain emulation remains a remote prospect but is not thought to be technically impossible.26 As Murray Shanahan argues, our own brains are proof that it’s physically possible to assemble ‘billions of ultra-low-power, nano-scale components into a device capable of human-level intelligence’.27 Most contemporary AI research, however, is not concerned with artificial general intelligence or whole-brain emulation.

This involves trying to map, simulate, and replicate the activity of the (more than) 80 billion neurons and tens of trillions of synapses in the human brain, together with the workings of the central nervous system.25 Whole-brain emulation remains a remote prospect but is not thought to be technically impossible.26 As Murray Shanahan argues, our own brains are proof that it’s physically possible to assemble ‘billions of ultra-low-power, nano-scale components into a device capable of human-level intelligence’.27 Most contemporary AI research, however, is not concerned with artificial general intelligence or whole-brain emulation. Rather, it is geared toward creating machines capable of performing specific, often quite narrow, tasks with an extraordinary degree of efficacy. AlphaGo, Deep Blue, and Watson did not possess ‘minds’ like those of a human being. Deep Blue, whose only function was to play chess, used ‘brute number-crunching force’ to process hundreds of millions of positions each second, generating every possible move for up to twenty or so moves.28 OUP CORRECTED PROOF – FINAL, 26/05/18, SPi РЕЛИЗ ПОДГОТОВИЛА ГРУППА "What's News" VK.COM/WSNWS 34 FUTURE POLITICS It’s tempting to get hung up on the distinction between machines that have a narrow field of cognitive capacity and those able to ‘think’ or solve problems more generally.

E. 398 Schechner, Sam 419 Schmidt, Eric 374, 376, 384, 385, 398, 435 Schneider, Nathan 430 Schneier, Bruce 388 Scholz, Trebor 430 Schrems, Max 64–5 Schultz, Jason 325, 394, 418, 429, 431 Schumpeter, Joseph 218, 219, 221, 242, 409 Schwab, Klaus 319, 379, 381, 382, 417, 428 Scoble, Robert 381, 404, 405 Scott, Clare 385 Scott, James C. 127–8, 130–1, 133–4, 395 scrutable nature of society 127–34, 337 scrutiny 89, 122–41 auxiliary function 124, 125 cryptography 182 digital liberation 170 in digital lifeworld 127–40 disciplinary function 124, 125–7 implications 141 nature of 123–4 power of 124–7 public and private power 154, 155, 156–7, 160 separation of powers 358–9 of staff 267 search engines perception-control 147–8, 150, 151, 152 totalitarianism 177 see also Google Sedol, Lee 31 self-driving vehicles 30 communication between 48 ‘cyber’ and ‘real’ distinction, disappearance of 97 democracy 359 digital liberation 169 embedded rules 73–4 force, digitization of 103–4 harm principle 198, 204 liberty and private power 192 lidar 49 machine learning 35 privatization of force 116, 117–18 robotics 54–5 technological unemployment 299 totalitarianism 178 utility analogy 158 OUP CORRECTED PROOF – FINAL, 28/05/18, SPi РЕЛИЗ ПОДГОТОВИЛА ГРУППА "What's News" VK.COM/WSNWS Index self-enforcing law 101–3 Semayne’s Case 396 Sen, Amartya 408 Sensifall 407 sensitivity of technology 49–53 separation of powers 358 sexism 273 neutrality fallacy 291 rule-based injustice 283, 285 sexuality Apple’s homosexuality ‘cure’ apps 235–6 Hart–Devlin debate 202 justice in recognition 272–3 neutrality fallacy 289 political agenda 72 Shakespeare, William 308, 310, 331, 426 Shanahan, Murray 373, 374, 375, 376, 379, 436 whole-brain emulation 33 shared values principle 353–4, 355, 357 sharing economy 335–6 Shead, Sam 424 Shel, Israel 381, 404, 405 Shiller, Benjamin Reed 419–20 Shin, Laura 379 shopping platforms, and distributive justice 269 Siedentop, Larry 389, 418, 429 Siegel, Eric 397, 398, 419 Silicon Valley automation of morality 177 brain–computer interfaces 48 employee characteristics 8, 294 employee numbers 319 ‘Google Doctrine’ 15 Moore’s Law 39, 41 philosophical engineers 8 startups, claims of 6–7 Silva, Shiroma 413 Silver, David 372, 374 Silverman, Craig 412 Simon, Julie 410, 414, 416 Simonite, Tom 375, 386, 404 Singer-Vine, Jeremy 419 Singh Grewal, David 428 511 Skinner, Quentin 167, 401 Skunk Riot Control Copter 179 Skype 148 Slee, Tom 290–1, 422, 423 Sloan Digital Sky Survey 65 smart assets 47 smart cities 44, 50, 66 fairness principle 353 scrutiny 130 smart contracts 47, 106–7 automation of force 119 smart devices 43 automation of force 119 code’s empire 97 connectivity 45, 48 dolls 182 glasses 58 guns 106 hacking 182, 183 harm principle 197–8 pervasiveness 43–4 pills 51 privatization of force 116 productive technologies 316 scrutiny 134, 135–6 toilet paper dispensers 51 toilets 182 vibrators 135–6 smart dust technology 50 smartphones Android 318 checking 42 Direct Democracy 240 Freedom app 166 GPS 64 implantable 52 interfaces 51 location prediction 139 NeuroSky headsets 48 perception-control 146 Pokémon Go 58 processing power 38 scrutiny 135 sensors 50–1 smart stores 299 Smith, Adam 264, 301, 325, 326, 429 Smith, Bryant Walker 383 OUP CORRECTED PROOF – FINAL, 28/05/18, SPi РЕЛИЗ ПОДГОТОВИЛА ГРУППА "What's News" VK.COM/WSNWS 512 Index Smith, Cooper 387 Smith, Mat 377 Snapchat 44, 58 Snowden, Edward 156 social justice 3, 10, 24–5, 346 algorithmic injustice 279–94 in distribution 257–70, 274, 278 future 340–1 nature of 258–9 property 313–41 in recognition 271–8 sharing economy 336 technological unemployment 295–312 Socrates 136, 217, 226 Solon, Olivia 419 Solove, Daniel J. 194, 406 Soltani, Ashkan 419 sousveillance 63 South Africa 179 Spain 50, 58 Special Air Service (SAS) 287–8 speech freedom of 190–1, 235–7 recognition 30 Spence, Michael 425, 427, 431 Spencer, Herbert 308, 426 spinach, bomb-detecting 51 Spinoza, Baruch 224, 411 spintronic materials 41 Spotify 236 Sprat, Thomas 79 Squires, Judith 72, 389, 420 Srnicek, Nick 426 stability, and democracy 225, 234 standards digital law 107–8, 109–10, 113 network effect 320, 321 Staples 269 state and distributive justice 264, 265 ownership of capital 329–30 supercharged see supercharged state Statista 378 statistics 17–18 status, and work paradigm 301, 307–9 Steele, Billy 396 Steiner, Christopher 391, 421 Stephen, James Fitzjames 201–2, 407 Stoics 323 Straitens, Iman 416 structural regulation 356–9 Sudha, L.


pages: 336 words: 93,672

The Future of the Brain: Essays by the World's Leading Neuroscientists by Gary Marcus, Jeremy Freeman

23andMe, Albert Einstein, backpropagation, bioinformatics, bitcoin, brain emulation, cloud computing, complexity theory, computer age, computer vision, conceptual framework, correlation does not imply causation, crowdsourcing, dark matter, data acquisition, data science, deep learning, Drosophila, epigenetics, Geoffrey Hinton, global pandemic, Google Glasses, ITER tokamak, iterative process, language acquisition, linked data, mouse model, optical character recognition, pattern recognition, personalized medicine, phenotype, race to the bottom, Richard Feynman, Ronald Reagan, semantic web, speech recognition, stem cell, Steven Pinker, supply-chain management, synthetic biology, tacit knowledge, traumatic brain injury, Turing machine, twin studies, web application

Ethically, as full-scale human brain emulations have neared, the political battles have been heated. Some see modeled rodents as ethically equal to real rodents and argue that complete human-brain emulations merit rights equal to human beings. Some scholars see emotional distress in the rudimentary human brain simulants. Yet most (chose to) believe that a simulation is an imitation rather than the real thing, just like a computer simulating the aerodynamics of flight will never actually lift off. Politicians avoid the issue, but time is clearly running out. Will it be legal to employ a whole-brain emulation for intellectual work, much as one might employ a human?


pages: 390 words: 109,870

Radicals Chasing Utopia: Inside the Rogue Movements Trying to Change the World by Jamie Bartlett

Andrew Keen, back-to-the-land, Bernie Sanders, bitcoin, Black Lives Matter, blockchain, blue-collar work, Boris Johnson, brain emulation, Californian Ideology, centre right, clean water, climate change refugee, cryptocurrency, digital rights, Donald Trump, drone strike, Elon Musk, energy security, Ethereum, ethereum blockchain, Evgeny Morozov, failed state, gig economy, hydraulic fracturing, income inequality, intentional community, Intergovernmental Panel on Climate Change (IPCC), Jaron Lanier, Jeremy Corbyn, job automation, John Markoff, John Perry Barlow, Joseph Schumpeter, Kickstarter, life extension, military-industrial complex, Nick Bostrom, Occupy movement, off grid, Overton Window, Peter Thiel, post-industrial society, post-truth, postnationalism / post nation state, precariat, QR code, radical life extension, Ray Kurzweil, RFID, Rosa Parks, Ross Ulbricht, Satoshi Nakamoto, self-driving car, Silicon Valley, Silicon Valley startup, Skype, smart contracts, stem cell, Stephen Hawking, Steve Jobs, Steven Pinker, systems thinking, technoutopianism, the long tail, Tragedy of the Commons

, BBC, 2013, http://www.bbc.co.uk/science/0/23695785; Michael Hendricks, ‘The false science of cryonics’, MIT Technology Review, 2015, https://www.technologyreview.com/s/541311/the-false-science-of-cryonics/. 20. Anders Sandberg and Nick Bostrom, ‘Whole brain emulation: A road map’, Technical Report #2008-3, Future of Humanity Institute, Oxford University, 2008, http://www.fhi.ox.ac.uk/brain-emulation-roadmap-report.pdf. 21. In 2013, a research group from MIT prompted the Obama administration to launch the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which sponsors researchers to map the brain’s neurons.

The effects of freezing the body, and especially the brain, are wildly uncertain and even the Cryonic Institute concedes that it is ‘unknown’ whether future societies will be able to revive cryonic subjects successfully.19 But they received a boost in 2015 when one test showed that the roundworm Caenorhabditis elegans retains its memories after being cryopreserved at liquid-nitrogen temperatures. The final, and most speculative, of all the transhumanist technologies is called ‘mind uploading’. Each person’s brain has a unique set of neurons and neural pathways, shaped by all the things that person has seen, heard, felt and done. Whole-brain emulation involves creating a faithful ‘map’ of the brain using advanced scanning techniques. Advocates hope that an identical copy of a person’s brain would be indistinguishable from the original, and so would replicate that person’s mind, which could be stored on a (presumably very large) memory stick.


Human Frontiers: The Future of Big Ideas in an Age of Small Thinking by Michael Bhaskar

"Margaret Hamilton" Apollo, 3D printing, additive manufacturing, AI winter, Albert Einstein, algorithmic trading, AlphaGo, Anthropocene, artificial general intelligence, augmented reality, autonomous vehicles, backpropagation, barriers to entry, basic income, behavioural economics, Benoit Mandelbrot, Berlin Wall, Big bang: deregulation of the City of London, Big Tech, Bletchley Park, blockchain, Boeing 747, brain emulation, Brexit referendum, call centre, carbon tax, charter city, citizen journalism, Claude Shannon: information theory, Clayton Christensen, clean tech, clean water, cognitive load, Columbian Exchange, coronavirus, cosmic microwave background, COVID-19, creative destruction, CRISPR, crony capitalism, cyber-physical system, dark matter, David Graeber, deep learning, DeepMind, deindustrialization, dematerialisation, Demis Hassabis, demographic dividend, Deng Xiaoping, deplatforming, discovery of penicillin, disruptive innovation, Donald Trump, double entry bookkeeping, Easter island, Edward Jenner, Edward Lorenz: Chaos theory, Elon Musk, en.wikipedia.org, endogenous growth, energy security, energy transition, epigenetics, Eratosthenes, Ernest Rutherford, Eroom's law, fail fast, false flag, Fellow of the Royal Society, flying shuttle, Ford Model T, Francis Fukuyama: the end of history, general purpose technology, germ theory of disease, glass ceiling, global pandemic, Goodhart's law, Google Glasses, Google X / Alphabet X, GPT-3, Haber-Bosch Process, hedonic treadmill, Herman Kahn, Higgs boson, hive mind, hype cycle, Hyperloop, Ignaz Semmelweis: hand washing, Innovator's Dilemma, intangible asset, interchangeable parts, Internet of things, invention of agriculture, invention of the printing press, invention of the steam engine, invention of the telegraph, invisible hand, Isaac Newton, ITER tokamak, James Watt: steam engine, James Webb Space Telescope, Jeff Bezos, jimmy wales, job automation, Johannes Kepler, John von Neumann, Joseph Schumpeter, Kenneth Arrow, Kevin Kelly, Kickstarter, knowledge economy, knowledge worker, Large Hadron Collider, liberation theology, lockdown, lone genius, loss aversion, Louis Pasteur, Mark Zuckerberg, Martin Wolf, megacity, megastructure, Menlo Park, Minecraft, minimum viable product, mittelstand, Modern Monetary Theory, Mont Pelerin Society, Murray Gell-Mann, Mustafa Suleyman, natural language processing, Neal Stephenson, nuclear winter, nudge unit, oil shale / tar sands, open economy, OpenAI, opioid epidemic / opioid crisis, PageRank, patent troll, Peter Thiel, plutocrats, post scarcity, post-truth, precautionary principle, public intellectual, publish or perish, purchasing power parity, quantum entanglement, Ray Kurzweil, remote working, rent-seeking, Republic of Letters, Richard Feynman, Robert Gordon, Robert Solow, secular stagnation, shareholder value, Silicon Valley, Silicon Valley ideology, Simon Kuznets, skunkworks, Slavoj Žižek, sovereign wealth fund, spinning jenny, statistical model, stem cell, Steve Jobs, Stuart Kauffman, synthetic biology, techlash, TED Talk, The Rise and Fall of American Growth, the scientific method, The Wealth of Nations by Adam Smith, Thomas Bayes, Thomas Kuhn: the structure of scientific revolutions, Thomas Malthus, TikTok, total factor productivity, transcontinental railway, Two Sigma, Tyler Cowen, Tyler Cowen: Great Stagnation, universal basic income, uranium enrichment, We wanted flying cars, instead we got 140 characters, When a measure becomes a target, X Prize, Y Combinator

Our consciousness and thought patterns are, so far as we can tell, contingent on the evolutionary processes behind them. This must then be true (to some extent) of our ideas. Brain–machine links would be a leap above anything we have experienced before. Fusions of the biological and the technological could also recreate the human mind in silico – whole brain emulations or ‘ems’ that reproduce a human brain neuron by neuron, all 86 billion of them complete with all 100 trillion synaptic connections – or at least achieve the same effect, hence theoretically recreating individuals as new machine-based entities. Your brain, but not your brain. Such ems would be as remote from us as we are from our distant ancestors on the savannah: working on a hugely accelerated timescale (a single year may feel like millennia or more), anchored in virtual realities clustered in dense physical architectures of servers and coolants, where clans of ems reproduce themselves at will, working at jobs barely conceivable in the fleshy present.53 These minds could run millions of times slower or faster than ours.

Yet more significant are the first fully functioning Von Neumann probes: self-replicating robots thrown out into the galaxy to endlessly reproduce themselves, ultimately to form a numberless swarm strung out across space. A full Type II civilisation is eventually realised with the construction of a Dyson sphere around the Sun, collecting all its energy. Closer to home, whole-brain emulation is a reality, ushering in a new em civilisation in parallel. Everything changes again when artificial general intelligence finally becomes a reality and the intelligence explosion kicks in. Type III Ideas (long-term) At this distance, ideas grow hazy – like gazing at a distant star, their light fades in and out, blurry and indistinct.

., and Uzzi, Brian (2007), ‘The Increasing Dominance of Teams in Production of Knowledge’, Science, Vol. 316 No. 5827, pp. 1036–9 Xinhua (2019), ‘China to build scientific research station on Moon's south pole’, Xinhua, accessed 18 January 2021, available at http://www.xinhuanet.com/english/2019-04/24/c_138004666.htm Yueh, Linda (2018), The Great Economists: How Their Ideas Can Help Us Today, London: Penguin Viking Index ‘0,10’ exhibition 103 ‘0-I’ ideas 31 Aadhaar 265 abstraction 103 AC motor 287, 288 academia 209 Académie des sciences 47 Adam (robot) 235–6 Adams, John 211 Adler, Alfred 188 Adobe 265 Advanced Research Projects Agency (ARPA) 180, 247, 253, 296, 317 AEG 34 aeroplanes 62–6, 68–70, 71, 219 Aeschylus 3 Africa 267, 279–80, 295 age/ageing 122, 158–60, 193 AGI see artificial general intelligence Agrarian Revolution 252 agricultural production 92–3 AI see artificial intelligence Akcigit, Ufuk 193 Alexander the Great 159 Alexander, Albert 52 Alexandrian Library 4, 295, 304 algorithms 175, 185, 196, 224, 235, 245 aliens 240–1, 306, 308–9, 337 Allison, Jim 58 Alphabet 193, 225, 265, 294, 295 AlphaFold software 225–6, 227, 228–9, 233 AlphaGo software 226–7, 228, 233 AlQuraishi, Mohammed 225, 226, 229 Amazon 84–5, 214, 272 Amazon Prime Air 71 American Revolution 139 amino acids 223, 226 Ampère, André-Marie 74–5 Anaximander 35 ancestors 10–12 ancient Greeks 1–6, 7–8, 291, 303–4 Anderson, Kurt 106 Angkor Wat 43 anthrax 47–8, 51 Anthropocene 14–15 anti-reason 211–12 anti-science 211–12 antibacterials 234 antibiotics 38, 52–3, 124, 125, 217, 315 resistance to 235 Apollo missions 70, 315, 316, 317, 318 Apple 33, 85, 159, 185, 186, 193, 272, 296, 312 Aquinas, Thomas 36 AR see augmented reality archaeology 153–4 Archimedes 1–6, 7–8, 19, 27, 32, 37, 39, 291, 304 architecture 103, 115, 188 ARIA 297 Aristarchus 5 Aristotle 24, 108, 282, 304 Arkwright, Richard 25, 26, 34, 253 Armstrong, Louis 103 ARPA see Advanced Research Projects Agency art 99–104, 107–8, 176–7, 236, 321, 339 Artemis (Moon mission) 71, 218 artificial general intelligence (AGI) 226, 237–8, 249, 250, 310, 313, 330, 341 artificial intelligence (AI) 225–9, 233–41, 246–7, 248, 249–52, 262, 266, 300, 310, 312–13, 323, 329, 330, 331, 338 arts 152, 293 see also specific arts Artsimovich, Lev 147 arXiv 116 Asia 264, 267–8, 273, 275 Asimov, Isaac, Foundation 45 Astor, John Jacob 288 astronomy 30, 231, 232 AT&T 85, 181, 183, 185, 197 Ates, Sina T. 193 Athens 24, 295 Atlantis 154 augmented reality (AR) 241–2, 338 authoritarianism 112–13, 284 autonomous vehicles 71, 72, 219 ‘Axial Age’ 108 Azoulay, Pierre 317–18 Bach, J.S. 236 bacillus 46 Bacon, Francis 25, 259 bacteria 38, 46, 53 Bahcall, Safi 31 Ballets Russes 99–100 Baltimore and Ohio railway 67 Banks, Iain M. 310 Bardeen, John 182 BASF 289 Batchelor, Charles 286 Bates, Paul 226 Bayes, Thomas 289 Beagle (ship) 36 Beethoven, Ludwig van 26 Beijing Genomics Institute 257, 294–5 Bell Labs 180–4, 186–8, 190, 206, 214, 217, 289, 296, 322 Benz, Karl 68, 219, 330 Bergson, Henri 109 Bessemer process 80 Bezos, Jeff 71, 326 Bhattacharya, Jay 201, 202, 321 Biden, Joe 59 Big Bang 117, 174, 181 Big Big Ideas 79–80 big ideas 5, 8, 11, 13–19 adoption 28 and an uncertain future 302–36 and art 99–103 artificial 223–38 and the Big Ideas Famine 13 and bisociation 36 blockers to 17–18 and breakthrough problems 46–73, 77, 86, 98, 222, 250, 301 and the ‘burden of knowledge’ effect 154–65, 175, 178, 235, 338 and business formation 95 ceiling 18 conception 37 definition 27–8, 40–1 Enlightenment 132–40, 136–40 era of 109–10 erroneous 176 evidence for 222, 223–54 execution 37 ‘fishing out’ mechanism 152 future of 45, 98, 302–36, 337–43 harmful nature 41–2 how they work 23–45 and the Idea Paradox 178–9, 187, 191, 217, 226, 250, 254, 283–4, 301, 312, 342 and the Kardashev Scale 337–43 long and winding course of 4, 5, 35–8, 136 and the low-hanging fruit paradox 149–54, 167, 178 and luck 38–9 moral 136, 138 nature of 169–72 necessity of 41–3 need for 42–3 normalisation of 171–5, 178 originality of 28 paradox of 143–79 and patents 97 process of 37–8 purchase 37–8 and resources 128 and rights 132–40 and ‘ripeness’ 39 and short-termism 192 slow death of 106–7 slowdown of 98 society's reaction to 216 and specialisation 156, 157–8 today 21–140 tomorrow 141–343 big pharma 31, 60, 185, 217–18, 226 Big Science 118–19 Bill of Rights 137 Bingham, Hiram 153 biology 243–8, 300 synthetic 245–6, 251, 310, 329 BioNTech 218, 298 biotech 195–6, 240, 246, 255–8, 262, 266, 307 bisociation 36 Björk 104 Black, Joseph 26 ‘black swan’ events 307, 310 Bletchley Park 180, 296 Bloom, Nick 91, 92, 93 Boeing 69, 72, 162, 165, 192, 238 Bohr, Niels 104, 118, 159 Boltsmann, Ludwig 188 Boston Consulting Group 204 Botha, P.W. 114 Bowie, David 107 Boyer, Herbert 243 Boyle, Robert 232 Brahe, Tycho 36, 229, 292 brain 166, 246–8, 299–300 collective 299, 300–1 whole brain emulations (‘ems’) 248–9, 341 brain drains 197 brain-to-machine interfaces 247–8 Branson, Richard 71 Brattain, Walter 182 Brazil 266–7, 268, 279 breakthrough organisations 294–9 breakthrough problems 46–73, 77, 86, 98, 222, 234, 250, 301 breakthroughs 2–5, 27–8, 32–7, 41, 129, 152, 156 and expedition novelty 333 hostility to 187 medical 58–60 missing 175 near-misses 160 nuclear power 145 price of 87–98 and short-termism 192 slowdown of 87, 94 society's reaction to 216 and universities 204 see also ‘Eureka’ moments breast cancer 94 Brexit referendum 2016: 208 Brin, Sergey 319, 326 Britain 24, 146, 259, 283, 297 see also United Kingdom British Telecom 196 Brunel, Isambard Kingdom 67 Brunelleschi 232 Bruno, Giordano 216 Buddhism 108, 175, 264–5, 340 Buhler, Charlotte 188–9 Buhler, Karl 188–9 ‘burden of knowledge’ effect 154–65, 175, 178, 235, 338 bureaucracy 198–87, 280–1 Bush, George W. 211 Bush, Vannevar 168, 314–15, 317 business start-ups 95–6 Cage, John 104 Callard, Agnes 111 Caltech 184 Cambridge University 75, 76, 124, 235–6, 257, 294–6 canals 67 cancer 57–61, 76, 93–4, 131, 234, 245, 318 research 59–61 capital and economic growth 88 gray 192, 196 human 275, 277 capitalism 36, 111–13, 186, 189, 191–8 CAR-Ts see chimeric antigen receptor T-cells carbon dioxide emissions 220–1 Cardwell's Law 283 Carey, Nessa 244 Carnap, Rudolf 189 Carnarvon, Lord 153 cars 289 electric 71 flying 71 Carter, Howard 153 Carter, Jimmy 58 Carthage 3, 43 Cartright, Mary 163 CASP see Critical Assessment of Protein Structure Prediction Cassin, René 135 Catholic Church 206, 230 Cavendish Laboratory 76, 294 Cell (journal) 234 censorship 210–11 Census Bureau (US) 78 Centers for Disease Control 212 Cerf, Vint 253 CERN 118, 233, 239, 252, 296 Chain, Ernst 52, 60, 124 Champollion, Jean-François 155 Chang, Peng Chun 135 change 10–13, 18–19, 24 rapid 30, 32 resistance to 222 slowdown 85 chaos theory 163 Chaplin, Charlie 104 Chardin, Pierre Teilhard de 300 Charpentier, Emmanuelle 244, 256 chemistry 49, 56, 104, 117, 118, 124, 149–50, 159, 241, 244 chemotherapy 57 Chicago 10 chicken cholera 46 chimeric antigen receptor T-cells (CAR-Ts) 58, 61 China 15, 25, 71–2, 111, 112, 138, 208, 213, 216, 255–64, 265, 266, 267, 268, 275, 277, 279, 280, 283, 284–5, 312, 313, 314, 319, 328 Han 259, 260 Ming 284, 308, 309 Qing 260 Song 24, 259–60, 306 Tang 259–60 Zhou 259 Christianity 108, 303–4, 340 Church, George 245 cities 270–2, 308–9, 340 civilisation collapse 42–4 decay 187 cleantech 195 climate change 219–21, 284, 313–14, 338 clinical trials 218 cliodynamics 339 coal 23, 24, 26, 80, 220 Cocteau, Jean 101 cognitive complexity, high 332–3 cognitive diversity 281–3 Cognitive Revolution 252 Cohen, Stanley N. 243, 244 collective intelligence 339 collectivism 282 Collison, Patrick 117, 272 colour 75 Coltrane, John 104 Columbian Exchange 177 Columbus 38 comfort zones, stepping outside of 334 communism 111, 133, 134, 173, 217, 284 companies creation 95–6 numbers 96–7 competition 87, 283 complacency 221–2 complexity 161–7, 178, 204, 208, 298, 302, 329 high cognitive 332–3 compliance 205–6 computational power 128–9, 168, 234, 250 computer games 107 computers 166–7, 240, 253 computing 254 see also quantum computing Confucianism 133, 259 Confucius 24, 108, 109, 282 Congressional Budget Office 82 connectivity 272 Conon of Samos 4 consciousness 248, 340 consequences 328–9 consolidation, age of 86 Constantine 303 convergence 174, 311–12 Copernicus 29, 30, 41, 152, 171, 229, 232, 292 copyright 195 corporations 204–5 cosmic background microwave radiation 117, 181 cotton weaving, flying shuttle 24–5 Coulomb, Charles-Augustin de 74–5 counterculture 106 Covid-19 (coronavirus) pandemic 13, 14, 15, 55, 86, 113–14, 193, 202, 208, 212, 218, 251–2, 263, 283–4, 297–8, 309, 318, 327 vaccine 125, 245 Cowen, Tyler 13, 82, 94–5, 221 cowpox 47 creativity 188, 283 and artificial intelligence 236 crisis in 108 decrease 106–8 and universities 203 Crete 43 Crick, Francis 119, 296 CRISPR 243, 244, 251, 255–8, 299 Critical Assessment of Protein Structure Prediction (CASP) 224–6, 228 Cronin, Lee 242 crop yields 92–3 cultural diversity 281–3 cultural homogenisation 177 cultural rebellion 106–7 Cultural Revolution 114, 305 culture, stuck 106 Cunard 67 Curie, Marie 104, 144, 203, 289–90, 332 Daniels, John T. 62–3 Daoism 259 dark matter/energy/force 338 DARPA see Defense Advanced Research Projects Agency Darwin, Charles 34, 35–6, 37–8, 41, 77, 109, 118, 171, 289 Darwin, Erasmus 35 data 233 datasets, large 28 Davy, Sir Humphrey 149, 150 Debussy, Claude 100–1 decision-making, bad 43–4 Declaration of Independence 1776: 137 Declaration of the Rights of Man and Citizen 1789: 137 DeepMind 225–9, 296 Defense Advanced Research Projects Agency (DARPA) 315 democracy 111–12 Deng Xiaoping 261 deoxyribonucleic acid (DNA) 119, 223–4, 243, 251, 255, 339 DNA sequencing 56 Derrida, Jacques 109 Deutsch, David 126, 203 Diaghilev, Sergei 99–101 Diamond, Jared 42 Digital Age 180 digital technology 241–2, 243 diminishing returns 87, 91, 94, 97, 118, 123, 126, 130–1, 150, 161, 169, 173, 222, 250, 276, 285, 301 Dirac, Paul 159–60 disruption 34, 96, 109, 119, 157 diversity, cultural 281–3 DNA see deoxyribonucleic acid Dorling, Danny 171 Doudna, Jennifer 244, 251, 256 Douglas, Mary 290 Douthat, Ross 14, 106 drag 65 Drake equation 306 Drezner, Daniel 214 drones, delivery 71, 72 Drucker, Peter 189 drugs 55–7, 124, 235 Eroom's Law 55, 57, 61, 92–3, 119, 161, 234, 245, 338 and machine learning 234 research and development 55–7, 61, 92–4, 119, 161, 172–3, 217–18, 234, 245, 315, 338 see also pharmaceutical industry Duchamp, Marcel 103, 171 DuPont 184 Dutch East India Company 34 Dyson, Freeman 120 dystopias 305–8 East India Company 34 Easter Island 42–3 Eastern Europe 138 ecocides 42–3 economic growth 240, 272, 273, 316 endogenous 94 and ideas 88, 89–92, 95 process of 87–8 slowdown 82, 83, 84, 85, 178 economics 87–9, 98, 339, 340 contradictions of 87 Economist, The (magazine) 188 Edelman annual trust barometer 209 Edison, Thomas 183–4, 286–9, 290, 293 education 127, 277, 324–8 Einstein, Albert 11, 29, 74, 77, 104, 109, 117, 119, 124, 159–60, 203, 332 Eisenstein, Elizabeth 231 Eldredge, Niles 30 electric cars 71 electricity 11, 74–7, 81, 286–7, 289 electromagnetic fields 76 electromagnetic waves 75, 76 elements (chemical) 149–50 Elizabeth II 144–5 employment 204–5 Encyclopædia Britannica 97, 128, 155 ‘End of History’ 112 energy 337–8, 341–2 availability 85 use per capita 85 see also nuclear power engineering 243 England 25, 144–5, 309 Englert, François 118 Enlightenment 130, 136–40, 252 see also Industrial Enlightenment; neo-Enlightenment Eno, Brian 295 entrepreneurship, decline 96 epigenetics 164 epigraphy 236–7 epistemic polarisation 210 Epstein, David 334 Eratosthenes 5 Eroom's Law 55, 57, 61, 92–3, 119, 161, 234, 245, 338 ethical issues 256–7 Euclid 3, 304 ‘Eureka’ moments 2–5, 35, 36–7, 129, 163 Europe 95, 247, 258–60, 268, 268, 271, 283, 304, 308 European Space Agency 71 European Union (EU) 206, 216, 262, 266 Evans, Arthur 153 evolutionary theory 30, 35–6 expedition novelty 333 experimental spaces 296–8 Expressionism 104 Facebook 34, 159, 170, 197 Fahrenheit 232 failure, fear of 335 Faraday, Michael 75 FCC see Future Circular Collider FDA see Food and Drug Administration Federal Reserve (US) 82 Feigenbaum, Mitchell 163 fermentation 49 Fermi, Enrico 143, 159, 306 Fermi Paradox 306 Fernández-Armesto, Felipe 109 fertility rates 269 Feynman, Richard 77, 166, 332 film 104, 106–7, 108, 115 financialism 191–8, 206–7, 214, 217, 219 Firebird, The (ballet) 99–100 ‘first knowledge economy’ 25–6 First World War 54, 99, 104, 187, 188–9 Fisk, James 182 Fleming, Alexander 38, 52, 60, 332 flight 36, 62–6, 68–70, 71, 335 Flint & Company 64 flooding 220, 284 Florey, Howard 52, 60, 124, 332 Flyer, the 62–4, 66, 72 Foldit software 225 Food and Drug Administration (FDA) 55, 60, 93, 212 food supply 81 Ford 34, 253 Ford, Henry 68, 104, 219 Fordism 81 Foucault, Michel 110 Fraenkel, Eduard 124 France 49–51, 54, 64, 67, 95, 279, 309, 332 franchises 31 Franklin, Benjamin 119, 211 Frederick the Great 292 French Revolution 137, 275 Freud, Sigmund 34, 36, 77, 104, 171, 188, 190, 216 frontier 278–9, 283–4, 302, 310–11 Fukuyama, Francis 111–12 fundamentalism 213 Future Circular Collider (FCC) 239 futurology 44 Gagarin, Yuri 70 Galen 303 Galileo 206, 231, 232, 291, 322 Galois, Évariste 159 GDPR see General Data Protection Regulation Gell-Mann, Murray 77 gene editing 243–4, 251, 255–8 General Data Protection Regulation (GDPR) 206 General Electric (GE) 33, 184, 265, 288, 333 General Motors 289 Generation Z 86 genes 223–4 genetic engineering 243–4, 251, 253, 255–8 genetic science 163–4, 202 genius 26 genome, human 119, 202, 244, 255–7, 296, 313 genome sequencing 243–4 germ theory of disease 50–1, 53 Germany 54, 95, 96, 279, 283, 292, 332 Gesamtkunstwerk 99 Gibson, William 241 Glendon, Mary Ann 135 global warming 147 globalisation 177 Go 226–7 Gödel, Kurt 41, 168 Goldman Sachs 197 Goodhart's Law 199 Google 34, 85, 185, 197, 240, 272, 318 20 per cent time 319–20 Google Glass 241 Google Maps 86 Google Scholar 116 Google X 294 Gordon, Robert 13, 83, 94–5 Gouges, Olympe de 137 Gould, Stephen Jay 30 Gove, Michael 208 government 205, 207, 214, 216, 252, 267–8, 297 funding 185–6, 249, 252, 314–19, 321 GPT language prediction 234, 236 Graeber, David 13–14, 111 grants 120, 185–6, 195, 202, 316, 317, 319, 321–3 gravitational waves 117–18, 119 Great Acceleration 309–10 Great Convergence 255–301, 339 Great Disruption 96 Great Enrichment (Great Divergence) 23, 26, 258 Great Exhibition 1851: 293, 309 Great Stagnation Debate 13–14, 16, 17, 45, 72, 82–3, 87, 94–6, 129, 150, 240, 279, 338 Greenland 42 Gropius, Walter 103 Gross Domestic Product (GDP) 82, 90, 128, 278, 318 GDP per capita 23, 78, 82 growth cultures 25 growth theory, endogenous 88–9, 94 Gutenberg, Johannes 36 Guzey, Alexey 200, 322 Haber, Fritz 332 Haber-Bosch process 289 Hadid, Zaha 152 Hahn, Otto 144 Hamilton, Margaret 316 Harari, Yuval Noah 114–15, 236 Harris, Robert 307 Harvard Fellows 200 Harvard, John 156 Harvey, William 34, 291–2 Hassabis, Demis 229, 233 Hayek, Friedrich 189 Hegel, Georg Wilhelm Friedrich 36 Heisenberg, Werner 41, 159, 168, 332 heliocentric theory 5, 29, 118, 232, 304 helium 145 Hendrix, Jimi 105 Henry Adams curve 85 Hero of Alexandria 39 Herper, Matthew 55 Hertz, Heinrich 76 Herzl, Theodor 188 Hesse, Herman 307 Hieron II, king of Syracuse 1–2 Higgs, Peter 118 Higgs boson 117–18, 119, 239 Hinduism 133 Hiroshima 144 Hitler, Adolf 138, 188 Hodgkin, Dorothy 124, 332 Hollingsworth, J.


pages: 291 words: 81,703

Average Is Over: Powering America Beyond the Age of the Great Stagnation by Tyler Cowen

Amazon Mechanical Turk, behavioural economics, Black Swan, brain emulation, Brownian motion, business cycle, Cass Sunstein, Charles Babbage, choice architecture, complexity theory, computer age, computer vision, computerized trading, cosmological constant, crowdsourcing, dark matter, David Brooks, David Ricardo: comparative advantage, deliberate practice, driverless car, Drosophila, en.wikipedia.org, endowment effect, epigenetics, Erik Brynjolfsson, eurozone crisis, experimental economics, Flynn Effect, Freestyle chess, full employment, future of work, game design, Higgs boson, income inequality, industrial robot, informal economy, Isaac Newton, Johannes Kepler, John Markoff, Ken Thompson, Khan Academy, labor-force participation, Loebner Prize, low interest rates, low skilled workers, machine readable, manufacturing employment, Mark Zuckerberg, meta-analysis, microcredit, Myron Scholes, Narrative Science, Netflix Prize, Nicholas Carr, off-the-grid, P = NP, P vs NP, pattern recognition, Peter Thiel, randomized controlled trial, Ray Kurzweil, reshoring, Richard Florida, Richard Thaler, Ronald Reagan, Silicon Valley, Skype, statistical model, stem cell, Steve Jobs, Turing test, Tyler Cowen, Tyler Cowen: Great Stagnation, upwardly mobile, Yogi Berra

For instance, scientists are learning how much our brain relies on our stomach (“thinking with your gut” is closer to the truth than we used to believe) and how much our brain relies on the more general interactions with our bodies and the external environment for its processing capabilities. Moving, and interacting with the environment, is needed to set in motion, sustain, and enrich our thoughts. That means “brain emulation” requires building a whole working body (or significant parts thereof), not just an abstract, digitalized “brain in a vat.” At that point, anyone might wonder whether it isn’t easier to start with the bodies and brains we already have and make them more effective by allying them with machines, or using machines as add-ons.

., 37, 164 Babbage, Charles, 6 Banerjee, Abhijit, 222 BBC, 144 Becker, Gary, 226–27 behavioral economics, 75–76, 99, 105, 110, 149, 227 Belle (chess program), 46 benefit costs, 36, 59, 113 Benjamin, Joel, 47 Berlin, Germany, 246 Berra, Yogi, 229 biases, cognitive, 99–100 Bierce, Ambrose, 134 “Big Data,” 185, 221 Black, Fischer, 203 blogs, 180–81 Bonaparte, Napoleon, 148 Borjas, George, 162 “bots,” 144–45 “brain emulation,” 137–38. See also artificial intelligence (AI) branes, 214 Brazil, 20 Breedlove, Philip M., 20 Bresnahan, Timothy F., 33 Brookings Institution, 53 Brooklyn, New York, 172, 240 Brownian motion, 203 Brynjolfsson, Erik, 6, 33 Burks, John, 62 business cycles, 45 business negotiations, 73, 158 California, 8, 241 Campbell, Howard, 246 Canada, 20, 171, 177 Candidates Match, 156 Capablanca, Jose Raoul, 150 capital flows, 166 capitalism, 258 careers, 41–44, 119–25, 126, 202 Carlsen, Magnus, 104, 156, 189 Carr, Nicholas, 153–54 Caterpillar, 38 cell phone service, 118 CEOs, 100 Chen, Yingheng, 79 chess and cheating, 146–51 Chess Olympiad, 147, 189 computer’s influence on quality of play, 106–8 and decision making, 98–99, 101–2, 104–5, 129 early computer chess, 7, 46–47, 67–70 and face-to-face instruction, 195 and gender issues, 31, 106–8 and globalization of competition, 168 and intuition, 68–70, 72, 97, 99, 101, 105–6, 109–10, 114–15 machine and human styles contrasted, 75–76, 77–86 machine vs. machine matches, 70–75 as model for education, 185–88, 191–92, 202–3 and opening books, 83–85, 86–87, 107, 135, 203 and player ratings, 120 simplicity of rules, 48–49 spectator interest in, 156–57 See also Freestyle chess Chess Tiger (chess program), 78 children and wealth inequality, 249 China chess players from, 108, 189 and demographic trends, 230 and geographic trends, 177 and global competition, 171 and labor competition, 5, 163–64, 167, 169–70 and political trends, 252 and scientific specialization, 216 choice.


pages: 294 words: 81,292

Our Final Invention: Artificial Intelligence and the End of the Human Era by James Barrat

AI winter, air gap, AltaVista, Amazon Web Services, artificial general intelligence, Asilomar, Automated Insights, Bayesian statistics, Bernie Madoff, Bill Joy: nanobots, Bletchley Park, brain emulation, California energy crisis, cellular automata, Chuck Templeton: OpenTable:, cloud computing, cognitive bias, commoditize, computer vision, Computing Machinery and Intelligence, cuban missile crisis, Daniel Kahneman / Amos Tversky, Danny Hillis, data acquisition, don't be evil, drone strike, dual-use technology, Extropian, finite state, Flash crash, friendly AI, friendly fire, Google Glasses, Google X / Alphabet X, Hacker News, Hans Moravec, Isaac Newton, Jaron Lanier, Jeff Hawkins, John Markoff, John von Neumann, Kevin Kelly, Law of Accelerating Returns, life extension, Loebner Prize, lone genius, machine translation, mutually assured destruction, natural language processing, Neil Armstrong, Nicholas Carr, Nick Bostrom, optical character recognition, PageRank, PalmPilot, paperclip maximiser, pattern recognition, Peter Thiel, precautionary principle, prisoner's dilemma, Ray Kurzweil, Recombinant DNA, Rodney Brooks, rolling blackouts, Search for Extraterrestrial Intelligence, self-driving car, semantic web, Silicon Valley, Singularitarianism, Skype, smart grid, speech recognition, statistical model, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steve Jurvetson, Steve Wozniak, strong AI, Stuxnet, subprime mortgage crisis, superintelligent machines, technological singularity, The Coming Technological Singularity, Thomas Bayes, traveling salesman, Turing machine, Turing test, Vernor Vinge, Watson beat the top human players on Jeopardy!, zero day

Reverse engineering seeks to first complete fine-grained learning about the human brain, then represent what the brain does in hardware and software. At the end of the process you have a computer with human-level intelligence. IBM’s Blue Brain project intends to accomplish this by the early 2020s. On the other hand, mind-uploading, also called whole brain emulation, is the theory of modeling a human mind, like yours, in a computer. At the end of the process you still have your brain (unless, as experts warn, the scanning and transfer process destroys it) but another thinking, feeling “you” exists in the machine. “If you had a superintelligence that started out as a human upload and began improving itself and became more and more alien over time, that might turn against humanity for reasons roughly analogous to the ones that you are thinking of,” Yudkowsky said.

That’s the argument for “reverse engineering the brain,” the pursuit of creating a model of a brain with computers and then teaching it what it needs to know. As we discussed, it may be the solution for attaining AGI if software complexity turns out to be too hard. But then again, what if whole-brain emulation also turns out to be too hard? What if the brain is actually performing tasks we cannot engineer? In a recent article criticizing Kurzweil’s understanding of neuroscience, Microsoft cofounder Paul Allen and his colleague Mark Greaves wrote, “The complexity of the brain is simply awesome. Every structure has been precisely shaped by millions of years of evolution to do a particular thing, whatever it might be.… In the brain every individual structure and neural circuit has been individually refined by evolution and environmental factors.”


pages: 590 words: 152,595

Army of None: Autonomous Weapons and the Future of War by Paul Scharre

"World Economic Forum" Davos, active measures, Air France Flight 447, air gap, algorithmic trading, AlphaGo, Apollo 13, artificial general intelligence, augmented reality, automated trading system, autonomous vehicles, basic income, Black Monday: stock market crash in 1987, brain emulation, Brian Krebs, cognitive bias, computer vision, cuban missile crisis, dark matter, DARPA: Urban Challenge, data science, deep learning, DeepMind, DevOps, Dr. Strangelove, drone strike, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, facts on the ground, fail fast, fault tolerance, Flash crash, Freestyle chess, friendly fire, Herman Kahn, IFF: identification friend or foe, ImageNet competition, information security, Internet of things, Jeff Hawkins, Johann Wolfgang von Goethe, John Markoff, Kevin Kelly, Korean Air Lines Flight 007, Loebner Prize, loose coupling, Mark Zuckerberg, military-industrial complex, moral hazard, move 37, mutually assured destruction, Nate Silver, Nick Bostrom, PalmPilot, paperclip maximiser, pattern recognition, Rodney Brooks, Rubik’s Cube, self-driving car, sensor fusion, South China Sea, speech recognition, Stanislav Petrov, Stephen Hawking, Steve Ballmer, Steve Wozniak, Strategic Defense Initiative, Stuxnet, superintelligent machines, Tesla Model S, The Signal and the Noise by Nate Silver, theory of mind, Turing test, Tyler Cowen, universal basic income, Valery Gerasimov, Wall-E, warehouse robotics, William Langewiesche, Y2K, zero day

For an overview of current abilities and limitations in scene interpretation, see JASON, “Perspectives on Research in Artificial Intelligence and Artificial General Intelligence Relevant to DoD,” 10. 232 Brain imaging: “Human Connectome Project | Mapping the Human Brain Connectivity,” accessed June 15, 2017, http://www.humanconnectomeproject.org/. “Meet the World’s Most Advanced Brain Scanner,” Discover Magazine, accessed June 15, 2017, http://discovermagazine.com/2013/june/08-meet-the-worlds-most-advanced-brain-scanner. 232 whole brain emulations: Anders Sandburg and Nick Bostrom, “Whole Brain Emulation: A Roadmap,” Technical Report #2008-3, Oxford, UK, 2008, http://www.fhi.ox.ac.uk/Reports/2008-3.pdf 232 “When people say a technology”: Andrew Herr, email to the author, October 22, 2016. 232 “last invention”: Irving J. Good, “Speculations Concerning the First Ultraintelligent Machine”, May 1964, https://web.archive.org/web/20010527181244/http://www.aeiveos.com/~bradbury/Authors/Computing/Good-IJ/SCtFUM.html.

What it would take to build such a machine is a matter of pure speculation, but there is at least one existence proof that general intelligence is possible: us. Even if recent advances in deep neural networks and machine learning come up short, eventually an improved understanding of the human brain should allow for a detailed neuron-by-neuron simulation. Brain imaging is improving quickly and some researchers believe whole brain emulations could be possible with supercomputers as early as the 2040s. Experts disagree wildly on when AGI might be created, with estimates ranging from within the next decade to never. A majority of AI experts predict AGI could be possible by 2040 and likely by the end of the century, but no one really knows.


pages: 360 words: 100,991

Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence by Richard Yonck

3D printing, AI winter, AlphaGo, Apollo 11, artificial general intelligence, Asperger Syndrome, augmented reality, autism spectrum disorder, backpropagation, Berlin Wall, Bletchley Park, brain emulation, Buckminster Fuller, call centre, cognitive bias, cognitive dissonance, computer age, computer vision, Computing Machinery and Intelligence, crowdsourcing, deep learning, DeepMind, Dunning–Kruger effect, Elon Musk, en.wikipedia.org, epigenetics, Fairchild Semiconductor, friendly AI, Geoffrey Hinton, ghettoisation, industrial robot, Internet of things, invention of writing, Jacques de Vaucanson, job automation, John von Neumann, Kevin Kelly, Law of Accelerating Returns, Loebner Prize, Menlo Park, meta-analysis, Metcalfe’s law, mirror neurons, Neil Armstrong, neurotypical, Nick Bostrom, Oculus Rift, old age dependency ratio, pattern recognition, planned obsolescence, pneumatic tube, RAND corporation, Ray Kurzweil, Rodney Brooks, self-driving car, Skype, social intelligence, SoftBank, software as a service, SQL injection, Stephen Hawking, Steven Pinker, superintelligent machines, technological singularity, TED Talk, telepresence, telepresence robot, The future is already here, The Future of Employment, the scientific method, theory of mind, Turing test, twin studies, Two Sigma, undersea cable, Vernor Vinge, Watson beat the top human players on Jeopardy!, Whole Earth Review, working-age population, zero day

As we’ll explore in the next two chapters, this may be the single best option available to us. 17 FOR BETTER AND FOR WORSE Guangzhou, Guangdong, China—March 30, 2045 The Tianhe-14 supercomputer, nestled deep inside the National Supercomputing Center in Guangzhou, China, has been running the latest version of the People’s Human Brain Emulation for thirty-seven days straight. Throughout that time, processing demands have remained constant. Textbook constant. Power requirements likewise. Oddly, though, the cognition test suites that run continuously against the system’s deep learning algorithms report less than optimal gains across their many analytics modules.

See Phenomenal-consciousness Pan paniscus, 14 Pan troglodytes, 14 Paranthropus boisei, 12, 14–15 paraphilia, 187 Parkinson’s disease and DBS systems, 126–127 PARO, 148–149 patent and intellectual property (IP) law, 75 pattern recognition, 53–54 Pearson, Ian, 168–169 peer-to-peer file sharing, 210 People’s Human Brain Emulation, 240 Pepper, 82–83 Perceptio, 75 personal biometrics, 5 personal identity, 206 Personal Robotics Group, MIT, 85, 118–119 personalized education, 117–118 Peter Sager Wallenberg Charitable Trust, 66 Phenomenal-consciousness, 243–249, 258, 270 Physiio, 70, 74 physio-emotional self-knowledge, 34 Picard, Rosalind, 42–48, 51, 53, 57, 60–62, 77 Pinker, Steven, 13, 267 Pinocchio, 233–234 Plato, 29–30 Pleo, 89–90 Plutarch, 206 The Polar Express (Allsburg/Zemeckis), 95–96 The Positronic Man (Asimov and Silverberg), 232 Post-traumatic stress disorder (PTSD), 221–222 Michael’s nightmares, 122–123 and the military, 123–125 prosthetics, 103–104 Psychological Operations (PSYOP), 134 Psychology Today, 141 PSYOP.


pages: 416 words: 112,268

Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell

3D printing, Ada Lovelace, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Alfred Russel Wallace, algorithmic bias, AlphaGo, Andrew Wiles, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, augmented reality, autonomous vehicles, basic income, behavioural economics, Bletchley Park, blockchain, Boston Dynamics, brain emulation, Cass Sunstein, Charles Babbage, Claude Shannon: information theory, complexity theory, computer vision, Computing Machinery and Intelligence, connected car, CRISPR, crowdsourcing, Daniel Kahneman / Amos Tversky, data science, deep learning, deepfake, DeepMind, delayed gratification, Demis Hassabis, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Ernest Rutherford, fake news, Flash crash, full employment, future of work, Garrett Hardin, Geoffrey Hinton, Gerolamo Cardano, Goodhart's law, Hans Moravec, ImageNet competition, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invention of the wheel, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Nash: game theory, John von Neumann, Kenneth Arrow, Kevin Kelly, Law of Accelerating Returns, luminiferous ether, machine readable, machine translation, Mark Zuckerberg, multi-armed bandit, Nash equilibrium, Nick Bostrom, Norbert Wiener, NP-complete, OpenAI, openstreetmap, P = NP, paperclip maximiser, Pareto efficiency, Paul Samuelson, Pierre-Simon Laplace, positional goods, probability theory / Blaise Pascal / Pierre de Fermat, profit maximization, RAND corporation, random walk, Ray Kurzweil, Recombinant DNA, recommendation engine, RFID, Richard Thaler, ride hailing / ride sharing, Robert Shiller, robotic process automation, Rodney Brooks, Second Machine Age, self-driving car, Shoshana Zuboff, Silicon Valley, smart cities, smart contracts, social intelligence, speech recognition, Stephen Hawking, Steven Pinker, superintelligent machines, surveillance capitalism, Thales of Miletus, The Future of Employment, The Theory of the Leisure Class by Thorstein Veblen, Thomas Bayes, Thorstein Veblen, Tragedy of the Commons, transport as a service, trolley problem, Turing machine, Turing test, universal basic income, uranium enrichment, vertical integration, Von Neumann architecture, Wall-E, warehouse robotics, Watson beat the top human players on Jeopardy!, web application, zero-sum game

For an optimistic view arguing that AI safety problems will necessarily be resolved in our favor: Steven Pinker, “Tech prophecy.” 34. On the unsuspected alignment between “skeptics” and “believers” in AI risk: Alexander, “AI researchers on AI risk.” CHAPTER 7 1. For a guide to detailed brain modeling, now slightly outdated, see Anders Sandberg and Nick Bostrom, “Whole brain emulation: A roadmap,” technical report 2008-3, Future of Humanity Institute, Oxford University, 2008. 2. For an introduction to genetic programming from a leading exponent, see John Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection (MIT Press, 1992). 3. The parallel to Asimov’s Three Laws of Robotics is entirely coincidental. 4.

See work, elimination of Tegmark, Max, 4, 114, 138 Tellex, Stephanie, 73 Tencent, 250 tensor processing units (TPUs), 35 Terminator (film), 112, 113 Tesauro, Gerry, 55 Thaler, Richard, 244 Theory of the Leisure Class, The (Veblen), 230 Thinking, Fast and Slow (Kahneman), 238 thinking, learning from, 293–95 Thornton, Richard, 133 Times, 7, 8 tool (narrow) artificial intelligence, 46, 47, 136 TPUs (tensor processing units), 35 tragedy of the commons, 31 Transcendence (film), 3–4, 141–42 transitivity of preferences, 23–24 Treatise of Human Nature, A (Hume), 167 tribalism, 150, 159–60 truck drivers, 119 TrueSkill system, 279 Tucker, Albert, 30 Turing, Alan, 32, 33, 37–38, 40–41, 124–25, 134–35, 140–41, 144, 149, 153, 160–61 Turing test, 40–41 tutoring, 100–101 tutoring systems, 70 2001: A Space Odyssey (film), 141 Uber, 57, 182 UBI (universal basic income), 121 uncertainty AI uncertainty as to human preferences, principle of, 53, 175–76 human uncertainty as to own preferences, 235–37 probability theory and, 273–84 United Nations (UN), 250 universal basic income (UBI), 121 Universal Declaration of Human Rights (1948), 107 universality, 32–33 universal Turing machine, 33, 40–41 unpredictability, 29 utilitarian AI, 217–27 Utilitarianism ((Mill), 217–18 utilitarianism/utilitarian AI, 214 challenges to, 221–27 consequentialist AI, 217–19 ideal utilitarianism, 219 interpersonal comparison of utilities, debate over, 222–24 multiple people, maximizing sum of utilities of, 219–26 preference utilitarianism, 220 social aggregation theorem and, 220 Somalia problem and, 226–27 utility comparison across populations of different sizes, debate over, 224–25 utility function, 53–54 utility monster, 223–24 utility theory, 22–26 axiomatic basis for, 23–24 objections to, 24–26 value alignment, 137–38 Vardi, Moshe, 202–3 Veblen, Thorstein, 230 video games, 45 virtual reality authoring, 101 virtue ethics, 217 visual object recognition, 6 von Neumann, John, 23 W3C Credible Web group, 109 WALL-E (film), 255 Watson, 80 wave function, 35–36 “we’re the experts” argument, 152–54 white-collar jobs, 119 Whitehead, Alfred North, 88 whole-brain emulation, 171 Wiener, Norbert, 10, 136–38, 153, 203 Wilczek, Frank, 4 Wiles, Andrew, 185 wireheading, 205–8 work, elimination of, 113–24 caring professions and, 122 compensation effects and, 114–17 historical warnings about, 113–14 income distribution and, 123 occupations at risk with adoption of AI technology, 118–20 reworking education and research institutions to focus on human world, 123–24 striving and enjoying, relation between, 121–22 universal basic income (UBI) proposals and, 121 wage stagnation and productivity increases, since 1973, 117 “work in human–machine teams” argument, 163 World Economic Forum, 250 World Wide Web, 64 Worshipful Company of Scriveners, 109 Zuckerberg, Mark, 157 ABCDEFGHIJKLMNOPQRSTUVWXYZ About the Author Stuart Russell is a professor of Computer Science and holder of the Smith-Zadeh Chair in Engineering at the University of California, Berkeley.


pages: 331 words: 47,993

Artificial You: AI and the Future of Your Mind by Susan Schneider

artificial general intelligence, brain emulation, deep learning, Elon Musk, Extropian, heat death of the universe, hive mind, life extension, megastructure, Nick Bostrom, pattern recognition, precautionary principle, radical life extension, Ray Kurzweil, Search for Extraterrestrial Intelligence, silicon-based life, Stephen Hawking, superintelligent machines, technological singularity, TED Talk, The Coming Technological Singularity, theory of mind, traumatic brain injury, Turing machine, Turing test, Whole Earth Review, wikimedia commons

Converging Technologies for Improved Human Performance: Nanotechnology, Biotechnology, Information Technology and Cognitive Science. Arlington, VA: National Science Foundation and Department of Commerce. Sacks, O. 1985. The Man Who Mistook His Wife for a Hat and Other Clinical Tales. New York: Summit Books. Sandberg, A., and N. Bostrom. 2008. “Whole Brain Emulation: A Roadmap.” Technical Report 2008–3. Oxford: Future of Humanity Institute, Oxford University. Sawyer, R. 2005. Mindscan. New York: Tor. Schipp, Debbie. 2016. “Boyfriend’s Delivery of Love for the Woman Whose Brain Is Frozen,” news.com.au, June 19, https://www.news.com.au/entertainment/tv/current-affairs/boyfriends-delivery-of-love-for-the-woman-whose-brain-is-frozen/news-story/8a4a5b705964d242bdfa5f55fa2df41a.


pages: 267 words: 82,580

The Dark Net by Jamie Bartlett

3D printing, 4chan, bitcoin, blockchain, brain emulation, carbon footprint, Cody Wilson, creative destruction, crowdsourcing, cryptocurrency, degrowth, deindustrialization, Edward Snowden, end-to-end encryption, eternal september, Filter Bubble, Francis Fukuyama: the end of history, Free Software Foundation, global village, Google Chrome, Great Leap Forward, Howard Rheingold, Internet of things, invention of writing, Johann Wolfgang von Goethe, John Gilmore, John Perry Barlow, Julian Assange, Kuwabatake Sanjuro: assassination market, Lewis Mumford, life extension, litecoin, longitudinal study, Mark Zuckerberg, Marshall McLuhan, Mondo 2000, moral hazard, moral panic, Nick Bostrom, Occupy movement, pre–internet, printed gun, Ray Kurzweil, rewilding, Ross Ulbricht, Satoshi Nakamoto, Skype, slashdot, synthetic biology, technological singularity, technoutopianism, Ted Kaczynski, TED Talk, The Coming Technological Singularity, Turing test, Vernor Vinge, WikiLeaks, Zimmermann PGP

He recently experimented with the cognitive enhancing drug modafinil, an experience that he claims was positive, and tells me he also plans to have magnets surgically inserted into his fingers so he can feel electromagnetic waves. But his main area of interest is mind uploading (what he calls ‘whole brain emulation’). In 2008, Anders published a 130-page instruction manual setting out exactly how the brain’s content, its precise structure, pathways and electric signals, could be transferred on to a computer chip. If it was perfectly copied, it would, thinks Anders, be indistinguishable from the real thing.


pages: 404 words: 113,514

Atrocity Archives by Stross, Charles

airport security, anthropic principle, Berlin Wall, Bletchley Park, brain emulation, British Empire, Buckminster Fuller, defense in depth, disinformation, disintermediation, experimental subject, glass ceiling, haute cuisine, hypertext link, Khyber Pass, luminiferous ether, mandelbrot fractal, Menlo Park, MITM: man-in-the-middle, Neal Stephenson, NP-complete, PalmPilot, pneumatic tube, Snow Crash, Strategic Defense Initiative, the medium is the message, Y2K, yield curve

Rather than do this openly and risk frightening the sheeple by stationing a death ray on every street corner, our lords and masters decided they'd do it bottom-up, by legislating that all public cameras be networked, and having back doors installed in them to allow the hunter-killer basilisk brain emulators to be uploaded when the time comes. Which, let's face it, makes excellent fiscal strength in this age of outsourcing, public-private partnerships, service charters, and the like. I mean, you can't get business insurance if you don't install antitheft cameras, someone's got to watch them so you might as well outsource the service to a security company with a network operations centre, and the brain-dead music industry copyright nazis are campaigning for a law to make it mandatory to install secret government spookware in every Walkman--or camera--to prevent home taping from killing Michael Jackson.


pages: 303 words: 67,891

Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the Agi Workshop 2006 by Ben Goertzel, Pei Wang

AI winter, artificial general intelligence, backpropagation, bioinformatics, brain emulation, classic study, combinatorial explosion, complexity theory, computer vision, Computing Machinery and Intelligence, conceptual framework, correlation coefficient, epigenetics, friendly AI, functional programming, G4S, higher-order functions, information retrieval, Isaac Newton, Jeff Hawkins, John Conway, Loebner Prize, Menlo Park, natural language processing, Nick Bostrom, Occam's razor, p-value, pattern recognition, performance metric, precautionary principle, Ray Kurzweil, Rodney Brooks, semantic web, statistical model, strong AI, theory of mind, traveling salesman, Turing machine, Turing test, Von Neumann architecture, Y2K

[Cassio Pennachin ]: I’m not sure of anything, I’m just saying that lots of people seem to be assuming that its going to take over the world, that it’s a weapon, and I’m challenging that assumption. I’m not going to assume that evolutionary bias is carried over into AI’s, even if the AI is achieved through brain emulation. [Bill Redeen]: I do think we have to assume this is inevitable… the evolution and emergence of AGI. [Josh S. Hall]: I think it’s worth thinking about what happens if a group the size of Novamente can create an AGI and it works. Or, what if Hugo de Garis creates an AGI that works. Or, what if Sam S.


pages: 761 words: 231,902

The Singularity Is Near: When Humans Transcend Biology by Ray Kurzweil

additive manufacturing, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Albert Einstein, anthropic principle, Any sufficiently advanced technology is indistinguishable from magic, artificial general intelligence, Asilomar, augmented reality, autonomous vehicles, backpropagation, Benoit Mandelbrot, Bill Joy: nanobots, bioinformatics, brain emulation, Brewster Kahle, Brownian motion, business cycle, business intelligence, c2.com, call centre, carbon-based life, cellular automata, Charles Babbage, Claude Shannon: information theory, complexity theory, conceptual framework, Conway's Game of Life, coronavirus, cosmological constant, cosmological principle, cuban missile crisis, data acquisition, Dava Sobel, David Brooks, Dean Kamen, digital divide, disintermediation, double helix, Douglas Hofstadter, en.wikipedia.org, epigenetics, factory automation, friendly AI, functional programming, George Gilder, Gödel, Escher, Bach, Hans Moravec, hype cycle, informal economy, information retrieval, information security, invention of the telephone, invention of the telescope, invention of writing, iterative process, Jaron Lanier, Jeff Bezos, job automation, job satisfaction, John von Neumann, Kevin Kelly, Law of Accelerating Returns, life extension, lifelogging, linked data, Loebner Prize, Louis Pasteur, mandelbrot fractal, Marshall McLuhan, Mikhail Gorbachev, Mitch Kapor, mouse model, Murray Gell-Mann, mutually assured destruction, natural language processing, Network effects, new economy, Nick Bostrom, Norbert Wiener, oil shale / tar sands, optical character recognition, PalmPilot, pattern recognition, phenotype, power law, precautionary principle, premature optimization, punch-card reader, quantum cryptography, quantum entanglement, radical life extension, randomized controlled trial, Ray Kurzweil, remote working, reversible computing, Richard Feynman, Robert Metcalfe, Rodney Brooks, scientific worldview, Search for Extraterrestrial Intelligence, selection bias, semantic web, seminal paper, Silicon Valley, Singularitarianism, speech recognition, statistical model, stem cell, Stephen Hawking, Stewart Brand, strong AI, Stuart Kauffman, superintelligent machines, technological singularity, Ted Kaczynski, telepresence, The Coming Technological Singularity, Thomas Bayes, transaction costs, Turing machine, Turing test, two and twenty, Vernor Vinge, Y2K, Yogi Berra

Blue Gene/L will also have around one hundred terabytes (about 1015 bits) of main storage, more than our memory estimate for functional emulation of the human brain (see below). In line with my earlier predictions, supercomputers will achieve my more conservative estimate of 1016 cps for functional human-brain emulation by early in the next decade (see the "Supercomputer Power" figure on p. 71). Accelerating the Availability of Human-Level Personal Computing. Personal computers today provide more than 109 cps. According to the projections in the "Exponential Growth of Computing" chart (p. 70), we will achieve 1016cps by 2025.