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From what I know, machines do only what we build them to do, building a machine is just like doing whatever you want the machine to do, except the machine can do it a million times more after you build it. Well these chatbots and ai can program themselves; they can "learn". But when something unexpected happens, the machine screws up. Perhaps to have strong ai you need to hook the machine up to a random element, to put a little devil on its shoulder to whisper in it's ear. To fight the unnexpected with the unexpected. Thus the ai will no longer be limited by its pure logic and will have the ability to make an educated guess. Instead of doing what its supposed to do, it ''might ''do what it's supposed to do. Maybe it'll do the second best thing. Or the third best thing, every once in a while. And maybe it'll get lucky. |
From what I know, machines do only what we build them to do, building a machine is just like doing whatever you want the machine to do, except the machine can do it a million times more after you build it. Well these chatbots and ai can program themselves; they can "learn". But when something unexpected happens, the machine screws up. Perhaps to have strong ai you need to hook the machine up to a random element, to put a little devil on its shoulder to whisper in it's ear. To fight the unnexpected with the unexpected. Thus the ai will no longer be limited by its pure logic and will have the ability to make an educated guess. Instead of doing what its supposed to do, it ''might ''do what it's supposed to do. Maybe it'll do the second best thing. Or the third best thing, every once in a while. And maybe it'll get lucky. |
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| + | == Strong AI is equal to a captcha == |
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| + | A human user is utilized as an oracle which provides the answer to a question told from a computer. In the example, the captcha asks what can be seen on the picture, and the human clicks the button for “5” because this number is visible in the captcha box. Additionally, a captcha and a turing test are the same ideas. They are utilized for measuring human intelligence. It allows to detect if humans have basic skills in natural language, image recognition and audio listening. Such tests are equal to a Strong AI. It describes an experiment in which a software has to decide if the human fulfills certain criteria. <ref>Yampolskiy, Roman V. "Turing test as a defining feature of AI-completeness." Artificial intelligence, evolutionary computing and metaheuristics. Springer, Berlin, Heidelberg, 2013. 3-17.</ref> |
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| + | <References/> |
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| + | [[User:ManuelRodriguez5|ManuelRodriguez5]] ([[User talk:ManuelRodriguez5|talk]]) 11:21, October 30, 2019 (UTC) |
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Revision as of 11:21, 30 October 2019
From what I know, machines do only what we build them to do, building a machine is just like doing whatever you want the machine to do, except the machine can do it a million times more after you build it. Well these chatbots and ai can program themselves; they can "learn". But when something unexpected happens, the machine screws up. Perhaps to have strong ai you need to hook the machine up to a random element, to put a little devil on its shoulder to whisper in it's ear. To fight the unnexpected with the unexpected. Thus the ai will no longer be limited by its pure logic and will have the ability to make an educated guess. Instead of doing what its supposed to do, it might do what it's supposed to do. Maybe it'll do the second best thing. Or the third best thing, every once in a while. And maybe it'll get lucky.
Strong AI is equal to a captcha
A human user is utilized as an oracle which provides the answer to a question told from a computer. In the example, the captcha asks what can be seen on the picture, and the human clicks the button for “5” because this number is visible in the captcha box. Additionally, a captcha and a turing test are the same ideas. They are utilized for measuring human intelligence. It allows to detect if humans have basic skills in natural language, image recognition and audio listening. Such tests are equal to a Strong AI. It describes an experiment in which a software has to decide if the human fulfills certain criteria. [1]
- ↑ Yampolskiy, Roman V. "Turing test as a defining feature of AI-completeness." Artificial intelligence, evolutionary computing and metaheuristics. Springer, Berlin, Heidelberg, 2013. 3-17.
ManuelRodriguez5 (talk) 11:21, October 30, 2019 (UTC)