Valid point, though I’m surprised that cyc was used for non-AI purposes since, in my very very limited knowledge of the project, I thought the whole thing was based around the ability to reason and infer from an encyclopedic data set.
Regardless, I suppose the original topic of this discussion is heading towards a prescriptivist vs descriptivist debate:
Should the term Artificial Intelligence have the more literal meaning it held when it first was discussed, like by Turing or in the sci-fi of Isaac Asimov?
OR
Should society’s use of the term in reference to advances in problem solving tech in general or specifically its most prevalent use in reference to any neural network or learning algorithm in general be the definition of Artificial Intelligence?
Should we shift our definition of a term based on how it is used to match popular use regardless of its original intended meaning or should we try to keep the meaning of the phrase specific/direct/literal and fight the natural shift in language?
Personally, I prefer the latter because I think keeping the meaning as close to literal as possible increases the clarity of the words and because the term AI is now thrown about so often these days as a buzzword for clicks or money, typically by people pushing lies about the capabilities or functionality of the systems they’re referring to as AI.
The lumping together of models trained by scientists to solve novel problems and the models that are using the energy of a small country to plagiarize artwork also is not something I view fondly as I’ve seen people assume the two are one in the same despite the fact one has redeeming qualities and the other is mostly bullshit.
However, it seems that many others are fine with or in support of a descriptivist definition where words have the meaning they are used for even if that meaning goes beyond their original intent or definitions.
To each their own I suppose. These preferences are opinions so there really isn’t an objectively right or wrong answer for this debate
Valid point, though I’m surprised that cyc was used for non-AI purposes since, in my very very limited knowledge of the project, I thought the whole thing was based around the ability to reason and infer from an encyclopedic data set.
Regardless, I suppose the original topic of this discussion is heading towards a prescriptivist vs descriptivist debate:
Should the term Artificial Intelligence have the more literal meaning it held when it first was discussed, like by Turing or in the sci-fi of Isaac Asimov?
OR
Should society’s use of the term in reference to advances in problem solving tech in general or specifically its most prevalent use in reference to any neural network or learning algorithm in general be the definition of Artificial Intelligence?
Should we shift our definition of a term based on how it is used to match popular use regardless of its original intended meaning or should we try to keep the meaning of the phrase specific/direct/literal and fight the natural shift in language?
Personally, I prefer the latter because I think keeping the meaning as close to literal as possible increases the clarity of the words and because the term AI is now thrown about so often these days as a buzzword for clicks or money, typically by people pushing lies about the capabilities or functionality of the systems they’re referring to as AI.
The lumping together of models trained by scientists to solve novel problems and the models that are using the energy of a small country to plagiarize artwork also is not something I view fondly as I’ve seen people assume the two are one in the same despite the fact one has redeeming qualities and the other is mostly bullshit.
However, it seems that many others are fine with or in support of a descriptivist definition where words have the meaning they are used for even if that meaning goes beyond their original intent or definitions.
To each their own I suppose. These preferences are opinions so there really isn’t an objectively right or wrong answer for this debate