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After DeepMind’s breakthrough, there’s no reason why a robot can’t ultimately use some variant of deep reinforcement learning to teach itself to walk… - Max Tegmark
" "After DeepMind’s breakthrough, there’s no reason why a robot can’t ultimately use some variant of deep reinforcement learning to teach itself to walk without help from human programmers: all that’s needed is a system that gives it points whenever it makes progress. Robots in the real world similarly have the potential to learn to swim, fly, play ping-pong, fight and perform a nearly endless list of other motor tasks without help from human programmers. To speed things up and reduce the risk of getting stuck or damaging themselves during the learning process, they would probably do the first stages of their learning in virtual reality.
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About Max Tegmark
Max Tegmark (born May 5, 1967) is a Swedish-American physicist, cosmologist and machine learning researcher. He is a professor at the Massachusetts Institute of Technology and the scientific director of the Foundational Questions Institute. He is also a co-founder of the Future of Life Institute and a supporter of the effective altruism movement, and has received research grants from Elon Musk to investigate existential risk from advanced artificial intelligence.
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Also Known As
Alternative Names:
Tegmark
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Max Shapiro
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Max Erik Tegmark
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Additional quotes by Max Tegmark
It’s absolutely crucial that we don’t conflate this internal reality with the external reality that it’s tracking, because the two are very different. My brain’s internal reality is like the dashboard of my car: a convenient summary of the most useful information.' Just as my car’s dashboard tells me my speed, fuel level, motor temperature, and other things useful for a driver to be aware of, my brain’s dashboard/reality model tells me my speed and position, my hunger level, the air temperature, highlights of my surroundings and other things useful for the operator of a human body to be aware of.
Let’s instead define life very broadly, simply as a process that can retain its complexity and replicate. What’s replicated isn’t matter (made of atoms) but information (made of bits) specifying how the atoms are arranged. When a bacterium makes a copy of its DNA, no new atoms are created, but a new set of atoms are arranged in the same pattern as the original, thereby copying the information. In other words, we can think of life as a self-replicating information-processing system whose information (software) determines both its behavior and the blueprints for its hardware.
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