By scanning the enormous content of the Internet, some computers "know" literally every single piece of public information every scientific discovery, every book and movie, every public statement, etc. Users can engage in audio-video teleconferences. Computers have made paper books and documents almost completely obsolete. They suggest that in the case of a software-limited singularity, intelligence explosion would actually become more likely than with a hardware-limited singularity, because in the software-limited case, once human-level AI was developed, it could run serially on very fast hardware, and the abundance of cheap hardware would make AI research less constrained.
Because most people aren't spending a lot of time right now worrying about singularity—they are worrying about "Well, is my job going to be replaced by a machine? These threats are major issues for both singularity advocates and critics, and were the subject of Bill Joy 's Wired magazine article " Why the future doesn't need us ". They allow direct interface with computers, communications and Internet-based applications. Automation, Accelerating Technology and the Economy of the Future  postulates a "technology paradox" in that before the singularity could occur most routine jobs in the economy would be automated, since this would require a level of technology inferior to that of the singularity. 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. Effective language technologies natural language processing, speech recognition , speech synthesis exist. The conference attendees noted that self-awareness as depicted in science-fiction is probably unlikely, but that other potential hazards and pitfalls exist. Storrs Hall believes that "many of the more commonly seen scenarios for overnight hard takeoff are circular — they seem to assume hyperhuman capabilities at the starting point of the self-improvement process" in order for an AI to be able to make the dramatic, domain-general improvements required for takeoff. To write a story set more than a century hence, one needs a nuclear war in between Accelerating change According to Kurzweil, his logarithmic graph of 15 lists of paradigm shifts for key historic events shows an exponential trend Some singularity proponents argue its inevitability through extrapolation of past trends, especially those pertaining to shortening gaps between improvements to technology. These assistants are often not physically present, and help students remotely. Massively parallel neural nets and genetic algorithms are in wide use. High resolution audio-visual cybersex is common, aided by falling costs of high-speed internet and computer hardware. According to Richard Feynman , it was his former graduate student and collaborator Albert Hibbs who originally suggested to him circa the idea of a medical use for Feynman's theoretical micromachines. Despite the numerous speculated means for amplifying human intelligence, non-human artificial intelligence specifically seed AI is the most popular option for organizations[ which? In , in "The Time Scale of Artificial Intelligence", artificial intelligence researcher Ray Solomonoff articulated mathematically the related notion of what he called an "infinity point": Computers are no longer limited in design to laptops or CPUs contained in a large box connected to a monitor. Digital technology has infiltrated the fabric of human society to a degree of indisputable and often life-sustaining dependence. If you structure a society on not emphasizing individual human agency, it's the same thing operationally as denying people clout, dignity, and self-determination Users can digitally tour real locations or play in highly immersive fantasy worlds. Second, virtual objects or people could be rendered in fixed locations by the glasses, so when the user's eyes look elsewhere, the objects appear to stay in their places. Phones can translate spoken sentences to different languages and read them back aloud. The mechanism for a recursively self-improving set of algorithms differs from an increase in raw computation speed in two ways. The AI's talents might inspire companies and governments to disperse its software throughout society. These improvements would make further improvements possible, which would make further improvements possible, and so on.
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