3 ms·

so basically, fuzzing. https://en.m.wikipedia.org/wiki/Fuzzing https://en.m.wikipedia.org/wiki/Fuzzing

• rsaxvc 4y ago
  Sounds more like smart Monkey testing, much older, less feedback. https://en.m.wikipedia.org/wiki/Monkey_testing https://en.m.wikipedia.org/wiki/Monkey_testing Edit: looks like some consider these the same nowadays.
  • robocat 4y ago
    I wonder if ChatGPT would be good at generating various fuzz testing queries. Maybe too slow? Maybe too repetitive? Maybe too unvarying? Sorry for mentioning ChatGPT (to those who are sick of the infection).
    • mattygee 4y ago
      Actually, with one of the problems being faced in that space at present, especially for applications involving factual answers, being "hallucinations" ( ie. essentially as I understand it the level of "creativity" in responses) such "creativity" may well be quite suited to finding those various unusual edge cases.
      • TeMPOraL 4y ago
        You know this common trope in fiction and jokes, that advanced computers & AIs can be easily defeated by feeding them a logical inconsistency? Guess what, we now have a chatbot AI that not only doesn't mind working with nonsense input, it will happily produce logically-inconsistent statements on its own, and can do it so sneakily and convincingly, that it's the human operator who could end up believing logically inconsistent statements, without even realizing it, and possibly end up in serious trouble some time later.