A velocity connected with scientific advance
If instead the AI is smart enough to modify its own architecture as well as human researchers can, its time required to complete a redesign halves with each generation, and it progresses all 30 feasible generations in six years . Some machines are programmed with various forms of semi-autonomy, including the ability to locate their own power sources and choose targets to attack with weapons. Also, some computer viruses can evade elimination and, according to scientists in attendance, could therefore be said to have reached a “cockroach” stage of machine intelligence.
However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is significantly more intelligent than humans. The greatest fear about AI is singularity , a system capable of human-level thinking. According to some experts, singularity also implies machine consciousness. Regardless of whether it is conscious or not, such a machine could continuously improve itself and reach far beyond our capabilities. Even before artificial intelligence was a computer science research topic, science fiction writers like Asimov were concerned about this and were devising mechanisms (i.e. Asimov’s Laws of Robotics) to ensure benevolence of intelligent machines. The amazing intricacy of human cognition should serve as a caution to those who claim the singularity is close.
This historical experience contributes to most current scientists shying away from predicting AGI in bold time frames like years. However, just because they are more conservative now doesn’t mean that they are right this time around. Out of those four possibilities, the first three could lead to machines taking over.
He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School. Quantum Computing, which is still an emerging technology, can contribute to reducing computing costs after Moore’s law comes to an end. Quantum Computing is based on the evaluation of different states at the same time where classical computers can calculate one state at one time. The unique nature of quantum computing can be used to efficiently train neural networks, currently the most popular AI architecture in commercial applications. AI algorithms running on stable quantum computers have a chance to unlock singularity. CLICK TO VIEW THE FULL INFOGRAPHICThe truth is that very few thought, in those olden days of yore, that technologies like supercomputers, wireless network or artificial intelligence will make their way to the general public in the future.
The new agricultural economy doubled every 900 years, a remarkable increase. In the current era, beginning with the Industrial Revolution, the world’s economic output doubles every fifteen years, sixty times faster than during the agricultural era. If the rise of superhuman intelligence causes a similar revolution, argues Robin Hanson, one would expect the economy to double at least quarterly and possibly on a weekly basis.
The later being would be everything the original was, but vastly more. And so even for the individual, the Cairns-Smith or Lynn Margulis notion of new life growing incrementally out of the old must still be valid. That humans themselves would become their own successors, that whatever injustice occurred would be tempered by our knowledge of our roots. For those who remained unaltered, the goal would be benign treatment (perhaps even giving the stay-behinds the appearance of being masters of godlike slaves). It could be a golden age that also involved progress (leaping Stent’s barrier).