I spent extensive time on chatGPT. It does give an answer, but it isnt the most optimal, sometimes non-compiled version of them. Its suggestions havent reached the level of creativity. Example, if I give it a system design problem of a real-world problem. It suggests to use Apache Kafka, but what if Kafka isnt sufficient for whatever reason?

E.g, Lai–Yang algorithm will give you no hits,

Fascination observation, I asked for Project Euler #193 (a problem I solved using mobius function). chatGPT solved it using bruteforce, even after I asked for the most efficient way it could solve it with. It just used memorization, which wasnt enough to find an answer for that problem quick enough. I asked whether it could use the mobius function, it couldnt translate it to code, and I had to give it python code to make it work.

- If you ask in-depth technical questions on how task queueing works within Elasticsearch, it wont be able to give you answer.

- George Hotz in Lex friedmen interview mentions that GPT-3 has 100 most recent messages as a limit. He isnt convinced that is enough to completely build a complex tool like Solve FSD or implement me a kafka.