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Re:Why LLMs are not and probably will not lead to "AI" (an o... by LabMechanic on Saturday January 13, 2024 @02:53PM (#38983853)
I am doomed to repeat myself, but I mentioned it countless times in the past and I also mentioned it here: Try asking it to derive something given a set of definitions and axioms from a non-widespread domain (e.g., Clifford algebra, perspective geometry). Then you might see that it parrots what the majority of its dataset says. It is essentially similar to Google, but you don't mix and match the search results, the LLM or the "AI" does.
Re:Why LLMs are not and probably will not lead to "AI" (an o... by sk11001 on Saturday January 13, 2024 @03:07PM (#38984001)
I don't see how that's relevant.
Re:Why LLMs are not and probably will not lead to "AI" (an o... by LabMechanic on Saturday January 13, 2024 @03:25PM (#38984184)
The non-popular or non-widespread aspect of a "prompt" (e.g., "derive the geometric product given axioms/definitions ...") should be understood as a data point that it might lack reasoning skills. As it seemingly parrots what most of its dataset "says". For more details, check my other past comments. Calling such LLMs "AI" seems to be sensationalism at work.
Re:Why LLMs are not and probably will not lead to "AI" (an o... by sk11001 on Saturday January 13, 2024 @03:33PM (#38984255)
This is a problem of your expectations. Things don't need to be perfect to qualify as AI.
Re:Why LLMs are not and probably will not lead to "AI" (an o... by LabMechanic on Saturday January 13, 2024 @05:34PM (#38985333)
Hmm... wouldn't you agree that a formal (relatively accurate language) such as math is easier to get right than an non-accurate human language?