Technology

it doesn’t. it after the fact evaluates the actions, and assumes an intent that would get the highest rated response from the user, based on its training and weights.

now humans do sorta the same thing, but llm’s do not appropriately grasp concepts. if it weighed it diffrent it could just as easily as said that it was mad and did it out of frustration. but the reason it did that was in its training data at some point connected to all the appropriate nodes of his prompt is the knowledge that someone recommended formatting the server. probably as a half joke. again llm’s do not have grasps of context

Its trained to mimic human text output and humans panic sometimes, there are no other reasons for it.

Actually even that isn't quite right. In the model's training data sometimes there were "delete the database" commands that appeared in a context that vaguely resembled the previous commands in its text window. Then, in its training data when someone was angrily asked why they did something a lot of those instances probably involved "I panicked" as a response.

LLMs cannot give a reason for their actions when they are not capable of reasoning in the first place. Any explanation for a given text output will itself just be a pattern completion. Of course humans do this to some degree too, most blatantly when someone asks you a question while you're distracted and you answer without even remembering what your response was, but we are capable of both pattern completion and logic.