Earlier quoted context omitted.
Do you, as a human, feel the urgency in that text? How it sounds like people's jobs, as well as the agent's job, are on the line? So do the AIs. Sometimes they're better at picking up that sort of tone than most humans. And they definitely respond to those things. The fact that an agent can't really "have" a "job" won't matter.
They aren’t human, don’t think like humans, aren’t remotely comparable to the way humans think and act, so why would you make this as a 1:1 comparison? This kind of framing is really weird to me. Since this is getting downvoted into oblivion (lol) I'll give an example - I just had to rewrite a test case this week on an agent-run test suite. One test was to produce a file of 273 'a' characters as its name. The followi…
However, LLMs are fantastic at it. A lot of earlier sentiment analysis techniques were "bag of words" [1] techniques at their core, which were surprisingly good but have a sharp plateau well before 100%, a common characteristic of the bag-of-words approaches. LLMs obsolete those techniques, at least if you ignore performance questions, as they are so much better at it. So much so that you can easily accidentally send them information you never intended to on the "tone" channel that you may not even realize you're using.