Re: Beast System: Laying The Foundation Of The Beast
The ability to control thoughts and actions presupposes that we completely understand cognition. You have to understand cognition on a biological atomic level before you can implement a technology to control it. Cognition is analyized in neurology, psychology, philosophy, systemics and computer science. The concept of cognition is closely related to such abstract concepts as mind, reasoning, perception, intelligence, learning, and many others that describe numerous capabilities of human mind and expected properties of artificial or synthetic intelligence.
However, since we are speaking about microchips to control human thoughts and actions. We are speaking about artificial intelligence software that would be inbedded in these chips. More specifically, we are speaking of strong A.I. In order to create Strong A.I..the ability to create human mind-like intelligence in inanimate objects that could pass THE TURING TEST, we would need to fully understand cognition, memory, emotion, etc. Our understanding of the human mind is extremely rudimentary at this point scientifically speaking. The concepts of the MIND and Memory are still extremely illusive...especially memory. What makes the human mind different from computer intelligence is pattern recognition tied to memory. The ability to scan a picture and abstract the semantics..not just identify objects..but actually abstract the semantics. Computer intelligence has not evolved to that point. Pattern Recognition is an easier problem to solve than creating human-like parellel memory mechanisms or tackling the abstract nature of emotions...much less applying that to action.
Beyond the technical understanding of the human mind, there is something very important lacking in order to reproduce human-like responses to stimula in decision making and pattern recognition: Parrelism. The brain gets its power from performing many parallel operations, a computer from performing operations very quickly.The human brain has roughly 100 billion neurons operating simultaneously and connected by roughly 100 trillion synapses. Although estimates of the brain's processing power put it at around 1014 neuron updates per second, it is expected that the first unoptimized simulations of a human brain will require a computer capable of 1018 FLOPS.
The best person to read..who makes this most readable in laymens term is Ray Kurzweil.
RFID chips have very limited functionality...we are decades away from the possibility of mind control. RFID is evolutionary bar-scan technology
The ability to control thoughts and actions presupposes that we completely understand cognition. You have to understand cognition on a biological atomic level before you can implement a technology to control it. Cognition is analyized in neurology, psychology, philosophy, systemics and computer science. The concept of cognition is closely related to such abstract concepts as mind, reasoning, perception, intelligence, learning, and many others that describe numerous capabilities of human mind and expected properties of artificial or synthetic intelligence.
However, since we are speaking about microchips to control human thoughts and actions. We are speaking about artificial intelligence software that would be inbedded in these chips. More specifically, we are speaking of strong A.I. In order to create Strong A.I..the ability to create human mind-like intelligence in inanimate objects that could pass THE TURING TEST, we would need to fully understand cognition, memory, emotion, etc. Our understanding of the human mind is extremely rudimentary at this point scientifically speaking. The concepts of the MIND and Memory are still extremely illusive...especially memory. What makes the human mind different from computer intelligence is pattern recognition tied to memory. The ability to scan a picture and abstract the semantics..not just identify objects..but actually abstract the semantics. Computer intelligence has not evolved to that point. Pattern Recognition is an easier problem to solve than creating human-like parellel memory mechanisms or tackling the abstract nature of emotions...much less applying that to action.
Beyond the technical understanding of the human mind, there is something very important lacking in order to reproduce human-like responses to stimula in decision making and pattern recognition: Parrelism. The brain gets its power from performing many parallel operations, a computer from performing operations very quickly.The human brain has roughly 100 billion neurons operating simultaneously and connected by roughly 100 trillion synapses. Although estimates of the brain's processing power put it at around 1014 neuron updates per second, it is expected that the first unoptimized simulations of a human brain will require a computer capable of 1018 FLOPS.
The best person to read..who makes this most readable in laymens term is Ray Kurzweil.
RFID chips have very limited functionality...we are decades away from the possibility of mind control. RFID is evolutionary bar-scan technology