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" "What's the best algorithm that you should be using to fix your world model? ...This question ...has been answered for the first time by in the 1960s. He discovered an algorithm that you can apply when you've discovered that you're a robot and all you've got is data. What is the world like? ...[H]is algorithm is... a combination of Bayesian Reasoning, Induction and Occam's Razor. ...[W]e can mathematically prove that we cannot do better than Solomonoff Induction. Unfortunately, Solomonoff Induction is not quite computable.
, also known as “the wizard of consciousness”(born 1973 in Weimar, Germany) is a cognitive scientist focusing on cognitive architectures, models of mental representation, emotion, motivation and sociality. Achievements include research in novel data compression algorithm using concurrent entropy models; development of microPsi cognitive architecture for modeling emotion, motivation, mental representation. In 2000, Bach graduated with a diploma in Computer Science from Berlin, followed by a Doctor of Philosophy at Osnabrück University, Germany, in 2006. Before joining , he worked as a visiting researcher at the and the Harvard Program for Evolutionary Dynamics. Fact finding reports by the and found that Bach’s research was supported with more than $150,000 by the Foundation.
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I don't actually have an identity beyond the identity that I construct. ...[T]he Dalai Lama... identifies as a form of government. [He] gets reborn, not because he is confused, but because he is not identifying as a human being. He runs on a human being. He's... a governmental software that is instantiated in every new generation anew. So his advisors will pick someone who does this in the next generation. So if you identify with this, you are no longer human and you don't die in this sense... only the body that you run on. To kill the Dalai Lama you'd have to kill his tradition.
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When the Artificial Intelligence (AI) movement set off fifty years ago, it bristled with ideas and optimism, which have arguably both waned since. The field has regressed into a multitude of relatively well insulated domains like logics, neural learning, case based reasoning, artificial life, robotics, agent technologies, semantic web... each with their own goals and methodologies. The decline of the idea of studying intelligence per se, as opposed to designing systems that perform tasks that would require some measure of intelligence in humans, has progressed to such a degree that we must now rename the original AI idea into Artificial General Intelligence.