Epstein Secrets

abbage — but he was the first to fully understand its power. When we talk about computers today we mean machines, but it is worth noting computers in Turing’s time were more often humans using pencil and paper. The mechanical computers before Turing were elementary at best. Rudimentary calculating machi

not Turing complete and his Analytical Engine has never been built. 19" Century Calculators HOUSE_OVERSIGHT_015706 Mind over Computer 17 In 1935, Turing was made a Fellow of King’s College, Cambridge, and became interested in whether mathematical proofs could be found automatically. He wanted to know

MIND OVER COMPUTER Computer versus Human “I visualize a time when we will be to robots what dogs are to humans, and I'm rooting for the machines.” Claude Shannon “The question of whether computers can think is just like the question of whether submarines can swim.” Edgar Dijkstra HOUSE_OVERSIGHT_015693 Kas

more complex than they first appear. They are infinite, yet there are different infinities, and they have meaning. The smallpox example above and the Turing numbers we will discover shortly suggest numbers do have meaning independent of culture and language. The next two chapters will show us what happens

away their secrets. The Enigma machine was an elegant compromise between a truly unbreakable code and a simple cipher. Unfortunately for the Germans, Turing was on the side of the Allies. In the 1930s almost all mathematics, accounting, and code-breaking were performed by humans using pencil and paper. I

t. Because each key is only used once you can't use any sort of statistical method to work out the message, making the one-time pad perfectly secure. Claude Shannon proved this in 1945 while working for Bell Corporation but, due to wartime secrecy, his proof was not published until 1948. HOUSE_OVERSIGHT_015906

at they tend to favor or ignore. Surely (ding!)?, any man who could beat a woman at being perceived to be a woman would be an intelligent agent. What Turing did not foresee is the power of deep-learning AI to acquire this wealth of information in an exploitable form without having to understand it. Turing

the CIRL framework, one can formulate and solve the off-switch problem—that is, the problem of how to prevent a robot from disabling its off-switch. (Turing may rest easier.) A robot that’s uncertain about human preferences actually benefits from being switched off, because it understands that the human w

series of dinners—an ongoing seminar about media, communications, art, music, and philosophy that focused on Cage’s interest in the ideas of Wiener, Claude Shannon, and Marshall McLuhan, all of whom had currency in the New York art circles in which I was then moving. In particular, Cage had picked up on McLuhan’

a topic absent from a typical computer-science education: the physical configuration of a 118 HOUSE_OVERSIGHT_016921 computation. Von Neumann and Turing posed their questions as theoretical studies, because it was beyond the technology of their day to realize them. But with the convergence of communic

ce in terms of feedback, exploring the cultural rather than engineering uptake of this idea. She begins with primary readings by Wiener, Shannon, and Turing and then pivots from the scientists and engineers to the work and ideas of artists, feminists, postmodern theorists. Her goal: to come up with a new

arguments in Zhe Human Use of Human Beings seem closer to the 19th century than the 21st. In particular, although Wiener made reference throughout to Claude Shannon’s then-new work on information theory, he seems not to have fully embraced Shannon’s notion of information as consisting of irreducible, meaning-free

at they tend to favor or ignore. Surely (ding!)?, any man who could beat a woman at being perceived to be a woman would be an intelligent agent. What Turing did not foresee is the power of deep-learning AI to acquire this wealth of information in an exploitable form without having to understand it. Turing

the CIRL framework, one can formulate and solve the off-switch problem—that is, the problem of how to prevent a robot from disabling its off-switch. (Turing may rest easier.) A robot that’s uncertain about human preferences actually benefits from being switched off, because it understands that the human w

series of dinners—an ongoing seminar about media, communications, art, music, and philosophy that focused on Cage’s interest in the ideas of Wiener, Claude Shannon, and Marshall McLuhan, all of whom had currency in the New York art circles in which I was then moving. In particular, Cage had picked up on McLuhan’

a topic absent from a typical computer-science education: the physical configuration of a 118 HOUSE_OVERSIGHT_016338 computation. Von Neumann and Turing posed their questions as theoretical studies, because it was beyond the technology of their day to realize them. But with the convergence of communic

ce in terms of feedback, exploring the cultural rather than engineering uptake of this idea. She begins with primary readings by Wiener, Shannon, and Turing and then pivots from the scientists and engineers to the work and ideas of artists, feminists, postmodern theorists. Her goal: to come up with a new

arguments in Zhe Human Use of Human Beings seem closer to the 19th century than the 21st. In particular, although Wiener made reference throughout to Claude Shannon’s then-new work on information theory, he seems not to have fully embraced Shannon’s notion of information as consisting of irreducible, meaning-free

or and analogy. It moves from Boolean algebra through topics such as information theory, parallel computing, cryptography, algorithms, heuristics, Turing machines, and promising technologies such as quantum computing and emergent systems. EFTA00315144 BJARKE INGELS Bjarke Ingels started BIG Bjarke

his design. In 1988, continuing this research, Hillis received a PhD in EECS from MIT under doctoral advisers Gerald Jay Sussman, Marvin Minsky and Claude Shannon. Hillis co-founded Thinking Machines Corporation in 1983 while doing his doctoral work at MIT. The company was to develop Hillis' Connection Machi

significant and variously appropriate scientific anniversaries for the project for a meeting in 2011. Field forming landmarks: i) 75 years since Turing's 1936 paper, "On computable numbers, with an application to the Entcheidungproblem." This paper was a key inspira- tion towards the future work of

's 1936 paper, "On computable numbers, with an application to the Entcheidungproblem." This paper was a key inspira- tion towards the future work of Claude Shannon creating modern cryptographt via his collaboration with Alan Turing at Bletchlcy Park during WWII. (see: http://en.wikipedia.org/wiki/Claude_Shann

significant and variously appropriate scientific anniversaries for the project for a meeting in 2011. Field forming landmarks: i) 75 years since Turing's 1936 paper, "On computable numbers, with an application to the Entcheidungproblem." This paper was a key inspira- tion towards the future work of

's 1936 paper, "On computable numbers, with an application to the Entcheidungproblem." This paper was a key inspira- tion towards the future work of Claude Shannon creating modern cryptographt via his collaboration with Alan Turing at Bletchlcy Park during WWII. (see: http://en.wikipedia.org/wiki/Claude_Shann

se could be preprogrammed with every theory we could ever discover within it. (There would be no arbitrary problems.) This argument neatly sidesteps Turing’s theorem by specifying there is no such thing as an arbitrary problem - a random problem picked from the infinite set of problems. At the same time,

tted is useless as it is, in effect, encrypted using a one-time pad. The only person in possession of a copy of this one-time pad is me: the sender. Claude Shannon proved a one-time pad is unbreakable during the Second World War. Yet the British succeeded in breaking it. How was this possible? The fatal weaknes