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  2. Artificial stupidity - Wikipedia

    en.wikipedia.org/wiki/Artificial_stupidity

    Alan Turing, in his 1950 paper Computing Machinery and Intelligence, proposed a test for intelligence which has since become known as the Turing test. [1] While there are a number of different versions, the original test, described by Turing as being based on the "imitation game", involved a "machine intelligence" (a computer running an AI program), a female participant, and an interrogator.

  3. GOFAI - Wikipedia

    en.wikipedia.org/wiki/GOFAI

    AI research in the 1950s and 60s had an enormous influence on intellectual history: it inspired the cognitive revolution, led to the founding of the academic field of cognitive science, and was the essential example in the philosophical theories of computationalism, functionalism and cognitivism in ethics and the psychological theories of ...

  4. Hubert Dreyfus's views on artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Hubert_Dreyfus's_views_on...

    Book cover of the 1979 paperback edition. Hubert Dreyfus was a critic of artificial intelligence research. In a series of papers and books, including Alchemy and AI, What Computers Can't Do (1972; 1979; 1992) and Mind over Machine, he presented a pessimistic assessment of AI's progress and a critique of the philosophical foundations of the field.

  5. ‘Man vs machine’ race shows AI is not about to overtake ...

    www.aol.com/man-vs-machine-race-shows-101407416.html

    It was billed as ‘Man vs Machine’: ... During the AI vs AI race on the morning before the AI vs human contest, the cars were reaching speeds of 200kph. And if it weren’t for the lack of ...

  6. Artificial Intelligence: A Guide for Thinking Humans - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence.

  7. Moravec's paradox - Wikipedia

    en.wikipedia.org/wiki/Moravec's_paradox

    The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard. The mental abilities of a four-year-old that we take for granted – recognizing a face, lifting a pencil, walking across a room, answering a question – in fact solve some of the hardest engineering problems ever conceived...

  8. Commonsense knowledge (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Commonsense_knowledge...

    The problem of attaining human-level competency at "commonsense knowledge" tasks is considered to probably be "AI complete" (that is, solving it would require the ability to synthesize a fully human-level intelligence), [4] [5] although some oppose this notion and believe compassionate intelligence is also required for human-level AI. [6]

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