Look, obviously it’s better, I’m not denying that. But it still regularly makes mistakes, fails to consider edge cases, and introduces errors in code bases I ask it to add to without me explicitly saying “watch out for x potential edge case” or “reason about the effects on y before producing a response.” It still introduces bugs, albeit less of them and more subtle ones. Sure, it’s great. Sure, it’s the best LLM I’ve interacted with so far. But it’s not the machine messiah everyone seems to be losing their minds over. Impressive tool, still just a tool. Whats yalls experience? submitted by /u/Organic_Rip2483
Originally posted by u/Organic_Rip2483 on r/ArtificialInteligence
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