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Look, I'm telling you something I know to be true, which is that when a lot of people talk about "it" they're referring to a whole system, a whole phenomenon. From what I can tell you're not looking at things from this angle, but from a more categorical one.

Even on a technical level, these chatbots are using reinforcement learning on the fly to dynamically tune their output... They're not just GPT, they're GPT + live input from users and the search engine.

As for the GPT part, where did the training data come from? Who generated it? Who curated it? Who preconditioned it? How was it weighted? Who set the hyperparameters? Who had the conversations about what's working and what needs to change? Those were people and all their actions went into the "end result", which is much more complex than you're making it out to be.

You are applying your categorical thinking when you talk about "it". Drawing a neat little box around the program, as though it was a well written node module. What I'm telling you is that not everyone is referring to the same thing as you when they talk about this. If you want to understand what all these people mean you're going to have to shift your perspective to more of a "systems thinking" point of view or something like that.



That’s a very “is” argument, but I’m saying we “ought” not worry such as I see in this submission’s comments.

It’s self defining; whatever people are saying here, I’m saying those comments are overblown. What “it” is I leave up to whoever is doomsaying, as there is no version of “it” that’s worth doomsaying over.




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