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NEW THINKING. “The DeepMind researchers discovered another bit of weirdness. When they had a neural network train itself to predict the moves of expert players, it did very well, though it took a bit longer to reach the standard of a system trained with human supervision. However, the self-trained network played better overall, suggesting “that AlphaGo Zero may be learning a strategy that is qualitatively different to human play.” https://spectrum-ieee-org.cdn.ampproject.org/c/s/spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/alphago-zero-goes-from-blank-slate-to-grandmaster-in-three-dayswithout-any-help-at-all.amp.html View in LinkedIn

INSCRUTABLE METHOD. “And, the commentators add, the machine’s self-taught methods in the early and later parts of the game confirm the lore that grandmasters have accumulated over centuries of play: “But some of its middle-game judgements are truly mysterious.” https://spectrum-ieee-org.cdn.ampproject.org/c/s/spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/alphago-zero-goes-from-blank-slate-to-grandmaster-in-three-dayswithout-any-help-at-all.amp.html View in LinkedIn

TASTE OF SUCCESS. “Today DeepMind, a London-based subsidiary of Google, announced that it has developed a machine that plays the ancient Chinese game of Go much better than its predecessor, AlphaGo, which last year beat Lee Sedol, a world-class player, in Seoul.” https://lnkd.in/d4aKq6k View in LinkedIn

BEHIND THE CURVE. “Even the best computer programs out there lack the flexibility of human thinking. A teenager can pick up a new videogame in an hour; your average computer program still can only do just the single task for which it was designed." (Gary Marcus). https://lnkd.in/dxGGPGt View in LinkedIn

SCALABILITY. “How could an AI surpass human abilities? Computational resources. The brain's size and neuron count is restrained by skull size, metabolism, and other factors. AIs could be built on the scale of buildings or cities or larger. When we can make circuits no smaller, we can just add more of them.” https://lnkd.in/dC_XR5Q View in LinkedIn

BYPASSING SEQUENTIAL. “How could an AI surpass human abilities? Serial depth. The human brain can't rapidly perform any computation that requires more than 100 sequential steps; thus, it relies on massively parallel computation. More is possible when both parallel and deep serial computations can be performed.” https://lnkd.in/dC_XR5Q View in LinkedIn

ELECTRONS IN METAL. “How could an AI surpass human abilities? Let us count the ways. Speed. Our axons carry signals at 75 meters per second or slower. A machine can pass signals along about 4 million times more quickly.” https://lnkd.in/dC_XR5Q View in LinkedIn

SELF-DIRECTING. “Homo sapiens, the first truly free species, is about to decommission natural selection, the force that made us.... Soon we must look deep within ourselves and decide what we wish to become."" "Edward O. Wilson, Consilience, The Unity of Knowledge (1999) https://lnkd.in/dZFwhaZ View in LinkedIn

RECURSIVE ACCELERATION. “Once sophisticated enough, an AI will be able to engage in what's called "recursive self-improvement." As an AI becomes smarter and more capable, it will subsequently become better at the task of developing its internal cognitive functions. In turn, these modifications will kickstart a cascading series of improvements, each one making the AI smarter at the task of improving itself. It's an advantage that we biological humans simply don't have.” http://io9.gizmodo.com/how-artificial-superintelligence-will-give-birth-to-its-1609547174 View in LinkedIn

FIRST INDIGENOUS SPECIES. “The precursors of autonomous agents are bots: the first indigenous species of cyberspace'. Bots are to software what robots are to hardware; algorithms rather than animated machines governed by rules of behavior." https://lnkd.in/dF3y7XC View in LinkedIn