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Does this mean that the jokes are already in the training database, and ChatGPT just repeated them? If not, how does it work exactly? Is there any difference b

• scotty79 4y ago
  I think the difference is that humans have underlying model of reality while Chat GPT, stable diffusion and such don't have any. When you are an novice artist it's usually bad thing to rely on your mental model of reality. Children draw like that. Instead it's better to just observe patterns of light and darkness on the model and reproduce them. But at some point of that, when you start being creative with your art it really pays off to actually know how many fingers humans do have. It doesn't mean neural networks are completely incapable of creating the model of reality, AlphaGo creates models of Go reality that's better than human players, they just can't do that through language alone.
• olivierduval 4y ago
  There was some articles here about some people asking to ChatGPT to explain jokes... and it wasn't really convincing. Surely there's some jokes in the training database... enought to allow generating "new ones" by switching pieces The question about: are humans doing differently is the one about creation. Let's say that maybe 90% a "just" simple pattern matching (same mechanic as already existing jokes) and 10% is new mechanic (original joke)
  • gcanyon 4y ago
    > generating "new ones" by switching pieces I think that's a bit of a simplification :-)