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by Foobar8568 1179 days ago
At first I was impressed by how easy it was to reach a data model with chatgpt, then I laughed as I tried to tweak it and use it. I realized it didn't really have any model concepts and was just using its various KB.

I am unsure if the so called AI can think in models but so far, not but still an impressive assisting tool if you take care of its limitations.

Another point where it lacks is in logic, my daughter has a lot of fun with the book "what is the name of this book?" but she was struggling with the "map of baal" explanation, her the answer was a certain map, yet the book had another answer, I had a third one as I interpreted a proposition. I never got an answer without a contradiction in chatgpt reasoning, and the book had been mistranslated to French so one of its propositions was changed (C, both A and B were knaves) but not the answer.

2 comments

> At first I was impressed by how easy it was to reach a data model with chatgpt, then I laughed as I tried to tweak it and use it. I realized it didn't really have any model concepts and was just using its various KB.

> I am unsure if the so called AI can think in models but so far, not but still an impressive assisting tool if you take care of its limitations.

I don't know. I'm using it for exactly that ("here's a problem, come up with a data model") and it gives a great starting point.[0]

Not perfect, but after that it's easy to tweak it the old-fashioned way.

I find its data modelling capabilities (in the domain I'm using it for - API services) to be rougly on par with a mid-level developer (for a handwavy definition of "midlevel").

[0] https://apibakery.com/demo/ai/

Did you prime it before asking, so it was answering in the appropriate context?