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ns had perfected their calculations to predict the motion of Venus and it proved reliable over a whole century? Would this constitute understanding? Feynman would say no: the Mayan understanding was not complete. It was only black box equivalent to our modern understanding over a limited period. We known
elligent? Meet Eliza. Invented by Joseph Weizenbaum of the Massachusetts Institute of Technology, and named after George Bernard Shaw’s character in Pygmalion, Eliza runs an algorithm pretending to be a psychiatrist offering a sympathetic ear to anyone who cares to talk. Try her out at my website or read th
ivity versus 312 program equivalence problem 250 programmer 235, 238, 263 programming geniuses 271 super-programmers 266 progressive cipher 214 proof Feynman’s proof 157 indirect 244 mathematical 156 philosophical 246 Index 415 PSPACE problem 168 Pulitzer Prize 365, 367 purpose on the planet 9 puzzle tw
indirect 244 mathematical 156 philosophical 246 Index 415 PSPACE problem 168 Pulitzer Prize 365, 367 purpose on the planet 9 puzzle two guards 151 Pygmalion 25 Pythagoras 243 Pythagorean triangle 240 Q quantitative numerical skills 30 quants 71 quantum brains 122 quantum computers 277 quantum crypto
was the time that Hillis asked Nobel-prize winning physicist Richard Feynman to tip him off about any smart scientists Thinking Machines might hire. Feynman, pushing 60, volunteered himself and spent his summer vacations for the next ten years with Hillis and his team.1?! When it came time to test the fir
uter might say. The natural language processor responsible for carrying on the human side of the conversation he called ELIZA, after the heroine from Pygmalion, a poor cockney girl who is trained by a phonetics professor to pass as a duchess. Here is a discussion between ELIZA and a user that Weizenbaum rec
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