| Now that is of course going to be extremely unlikely in your example. The OpenAI API now has support for deterministic responses. There you go, the burden of proof is on the accuser. If I were to state “you can never ride your bicycle to the moon”, you could easily say, well, there is a remote possibility, and then force me to prove that there actually is no remote possibility, well, you would clearly see the problem. I’ll state it again: you will never ride your bicycle to the moon and ChatGPT will never return “DROP table1;” in response to the aforementioned request. It might not be correct, but it won’t be wildly off target like is flippantly suggested in these forums for populist appeal. My entire point was that hallucinations are not random. If you craft a query that reduces the task to mere translation then you will not get some wildly incorrect response like you would if you asked for quotes from War and Peace. I’m pretty much convinced that most of the shade against LLMs from developers is motivated more by emotion than reason because this stuff is easily verifiable. To not have realized this means approaching the tools willingly blindfolded! |
If I encounter a new unknown command and ask chatgpt to explain it. For me, it is entirely unpredictable if the answer will be 100% correct, 95% correct or complete mansplaining bullshit.
Even if it may be close to the truth, with bash the difference between a 95% answer and a 100% answer can be very subtle, with seemingly correct code and seemingly correct explanation give very wrong end result.