Epstein Secrets

mething complex, you had to employ a computer: a person who could do mental arithmetic enormously fast. Richard Feynman’s first job was computing for the Manhattan Project. The question was: Could a computer, either mechanical or human, blindly follow known rules to decide all mathematical questions? Hilbert’s 10" Probl

d rules often part company. Yet, we all assume math- ematics is free of such uncertainty. Let me tell you this is not so. The brilliant mathematician Kurt Gédel proved see eee this when he was just 22, and his proof a es says something fundamental about the 4 rs /, : nature of knowledge. a has The story of h

I’m not going to be a Nobel Prize winner, but I can still be a scientist.’ All of us who were in Physics and had these romantic heroes—the Feynmans, the Manhattan Project—realized that our career trajectory would at best be working on one project at CERN for fifteen years. That project would either be a failure, in whi

g to it. What was constraining to cybernetics was the presumption of an analogy of structure between the controller and the controlled. By the 1930s, Kurt Gédel, Alonzo Church, and Alan Turing had all described universal systems of computation, in which the computation required no structural analogy to functi

I’m not going to be a Nobel Prize winner, but I can still be a scientist.’ All of us who were in Physics and had these romantic heroes—the Feynmans, the Manhattan Project—realized that our career trajectory would at best be working on one project at CERN for fifteen years. That project would either be a failure, in whi

g to it. What was constraining to cybernetics was the presumption of an analogy of structure between the controller and the controlled. By the 1930s, Kurt Gédel, Alonzo Church, and Alan Turing had all described universal systems of computation, in which the computation required no structural analogy to functi