It depends on whether it's generating 58% of answers that lead on-call engineers down the wrong path. Honestly, it's more of a question -- I did not read the article deeply.
8 karma · joined April 16, 2023
I got your point, but according to most definitions ML \subset AI.
Also, LLMs are not as explainable as classic ML algos, but they might certainly have its place. The real problem is that it was not combined nicely for nice user-experience and (probably) False Positive Rate is higher than what people expected from trendy "AI".