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What's the difference between AI and a random generator?
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<blockquote data-quote="Art Waring" data-source="post: 9275549" data-attributes="member: 7037141"><p>Perhaps then, it might help to lay down some solid definitions of what ai is. You are, after all asking that folks be <em>literate</em>. Though it does seem like this is a dig aimed right in my direction, thanks i guess?</p><p></p><p>As i showed in my previous posts, there are a wide variety of ai models. "Narrow" AI (this is a professional term in the field of ai science, they are referred to as Narrow AI, look it up, ya know, <em>literacy</em>), is the most common type of ai seen today. It is absolutely NOT a black box, is very narrow (yup) in its application, and is typically not hard to understand its process. That should agree with your avoidance of the term black box.</p><p></p><p>However, there is substantial proof (listed in my previous posts) that more advanced models DO apply the term "black box" <em><u>because that is the term scientists have chosen to use</u></em>. If that's a problem, then that is on the technicians and scientists that document their research in the field. Advanced models are becoming increasingly complex, and the scientists that research them have concluded that there is indeed a "black box" of hidden layers inside. Respected scientists in the field of AI would agree with this, I am not sure why you don't.</p></blockquote><p></p>
[QUOTE="Art Waring, post: 9275549, member: 7037141"] Perhaps then, it might help to lay down some solid definitions of what ai is. You are, after all asking that folks be [I]literate[/I]. Though it does seem like this is a dig aimed right in my direction, thanks i guess? As i showed in my previous posts, there are a wide variety of ai models. "Narrow" AI (this is a professional term in the field of ai science, they are referred to as Narrow AI, look it up, ya know, [I]literacy[/I]), is the most common type of ai seen today. It is absolutely NOT a black box, is very narrow (yup) in its application, and is typically not hard to understand its process. That should agree with your avoidance of the term black box. However, there is substantial proof (listed in my previous posts) that more advanced models DO apply the term "black box" [I][U]because that is the term scientists have chosen to use[/U][/I]. If that's a problem, then that is on the technicians and scientists that document their research in the field. Advanced models are becoming increasingly complex, and the scientists that research them have concluded that there is indeed a "black box" of hidden layers inside. Respected scientists in the field of AI would agree with this, I am not sure why you don't. [/QUOTE]
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