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  • I'm also no authority but I believe 'generative' literally just means an 'AI' that is able to not just process and analyze data/content but can also generate new data/content (like the responses that ChatGPT has to prompts, or the difference between being able to identify images of cats and being able to create an image of a cat).

    Whereas the narrow/general differentiation is, for example, the difference between an AI that can identify a cat 90% of the time and one that, when it's told it got its identification wrong can formulate and pursue its own next steps to improve its identification process rather than just relying on a human programmer to feed it more/different training data.

  • generate new data/content

    I think it's important to note that is is not generating new data, per se*.

    It is the re-ordering and re-presenting of existing data, that has been shredded, contextualised and tagged along various axes, into a new context.

    * Although this does bog us down in semantic & probably philosophical arguments as to what "data" means in this context.

  • It is the re-ordering and re-presenting of existing data, that has been shredded, contextualised and tagged along various axes, into a new context.

    Pretty sure that's what my brain does.

  • Absolutely - 'new' only in the sense of newly organised, ordered, contextualised or presented, not new in the sense of genuinely 'original', although as you say, beyond this (pretty clear, I think) distinction you can choose whether you get into a semantic or philosophical swamp or both...

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