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Asked chatGPT some coding and web dev questions. Mostly answered with common sense knowledge and best practice, mostly true, somehow irrelevant, often missing the point - much like search engine results and actual people - and sometimes it's so close to some tutorial / blog post / StackOverflow answer, they can try hard to repeat that the openAI chatbot does "no plagiarism", but they will have to repeat that when scrutinized in court by copyright lawyers someday.
When you wanted to know deep learning immediately
That's not AI.
After I have been using tabnine and Grammarly for quite some time, I thought I follow this years' hype and give GitHub Codepilot a try, before eventually considering chatGPT.
Added Copilot to my IDE, proceeded to extend behavioral test descriptions in JavaScript.
Copilot suggests the most redundant and irrelevant inline comments I can imagine. They would be a legitimate target of criticism in every code review.
Wasn't it supposed to add some code that's actually useful? Well, tabnine and JetBrains IDEA annotations already did that anyway.
What did I miss?
rant
ai
tabnine
copilot