Would you say that a "Markov chain"-type (e.g. Dissociated Press) language model is "self-aware" in any way?
If yes, then... how, exactly? It is basically an N x N matrix of values.
Current language models (GPT et al.), are qualitatively nothing fancier than this: probabilistic models which encode regularity in language and from which you can sample to get "plausible content".
If a bunch of values in a matrix is "self-aware", then I guess GPT can be seen as "self-aware"; if not, then it can't.
My problem is trying to imagine an N x N matrix being self-aware (like... what does that even mean in this context?).
Is GPT human-like? Sure... if you stretch the meaning of "human-like" enough (it produces content that is similar to content produced by a human). Is a human GPT-like? That's harder to argue (and I don't see how your argument would support it).
If yes, then... how, exactly? It is basically an N x N matrix of values.
Current language models (GPT et al.), are qualitatively nothing fancier than this: probabilistic models which encode regularity in language and from which you can sample to get "plausible content".
If a bunch of values in a matrix is "self-aware", then I guess GPT can be seen as "self-aware"; if not, then it can't.
My problem is trying to imagine an N x N matrix being self-aware (like... what does that even mean in this context?).
Is GPT human-like? Sure... if you stretch the meaning of "human-like" enough (it produces content that is similar to content produced by a human). Is a human GPT-like? That's harder to argue (and I don't see how your argument would support it).