Melanie Mitchell

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Oldest Melanie Mitchell Quotes

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We’ll be completely caught off guard. We’ll think nothing is happening and all of a sudden, before we know it, computers will be smarter than us.”
It was not about AI becoming too smart, too invasive, too malicious, or even too useful. Instead, he was terrified that intelligence, creativity, emotions, and maybe even consciousness itself would be too easy to produce— that what he valued most in humanity would end up being nothing more than a “bag of tricks,” that a superficial set of brute-force algorithms could explain the human spirit.
Reklam
Many people were shocked and upset when, in 1997, IBM’s Deep Blue chess-playing system defeated the world chess champion Garry Kasparov. This event so stunned Kasparov that he accused the IBM team of cheating; he assumed that for the machine to play so well, it must have received help from human experts. (In a nice bit of irony, during the 2006 World Chess Championship matches the tables were turned, with one player accusing the other of cheating by receiving help from a computer chess program.)
turing testinde jüriyi kandıran chatbot
JUDGE: What is your gender EUGENE: I’m a young boy, if you care to know. And not very ugly, by the way! JUDGE: what are you aware of at this moment EUGENE: I would rather not talk about it if you don’t mind. Could you tell me what are you? I mean your profession. JUDGE: how old are you EUGENE: I’m a little boy 13 years old. JUDGE: what are your qualifications EUGENE: My qualifications? I’m not gonna tell you. Oooh. Anything else?
The name Mechanical Turk comes from a famous eighteenth-century AI hoax: the original Mechanical Turk was a chess-playing “intelligent machine,” which secretly hid a human who controlled a puppet (the “Turk,” dressed like an Ottoman sultan) that made the moves. Evidently, it fooled many prominent people of the time, including Napoleon Bonaparte. Amazon’s service, while not meant to fool anyone, is, like the original Mechanical Turk, “Artificial Artificial Intelligence".
Virtually everyone working in the AI field agrees that supervised learning is not a viable path to general-purpose AI. As the renowned AI researcher Andrew Ng has warned, “Requiring so much data is a major limitation of [deep learning] today.” Yoshua Bengio, another high-profile AI researcher, agrees: “We can’t realistically label everything in the world and meticulously explain every last detail to the computer.
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