Epstein Secrets

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’

: The New Science of Cause and Effect. As a former physicist, I was extremely interested in cybernetics. Though it did not utilize the full power of Turing Machines, it was highly transparent, perhaps because it was founded on classical control theory and information theory. We are losing this transparency now, w

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

brains conceptually, formally, might work—an artificial neural network. They saw that their brainlike model would do computations in the same way as Turing Machines. From their work, it emerged that we could make brainlike neural networks that would act as general computers. And in fact, the practical work done b

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’

: The New Science of Cause and Effect. As a former physicist, I was extremely interested in cybernetics. Though it did not utilize the full power of Turing Machines, it was highly transparent, perhaps because it was founded on classical control theory and information theory. We are losing this transparency now, w

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

brains conceptually, formally, might work—an artificial neural network. They saw that their brainlike model would do computations in the same way as Turing Machines. From their work, it emerged that we could make brainlike neural networks that would act as general computers. And in fact, the practical work done b