| > what counts as knowledge (epistemology), and how AI represents reality (ontology) also shape value creation. As a skeptic with only a few drums to beat, my quasi-philosophical complaint about LLMs: we have a rampant problem where humans confuse a character they perceive out of a text-document with a real-world author. In all these hyped-products, you are actually being given the "and then Mr. Robot said" lines from a kind of theater-script. This document grows as your contribution is inserted as "Mr. User says", plus whatever the LLM author calculates "fits next." So all these excited articles about how SomethingAI has learned deceit or self-interest? Nah, they're really probing how well it assembles text (learned from ones we make) where we humans can perceive a fictional character which exhibits those qualities. That can including qualities we absolutely know the real-world LLM does not have. It's extremely impressive compared to where we used to be, but not the same. |
It seems that LLMs operate a lot like I would in improv. In a scene, I might add, "This is the fifth time you've driven your car into a ditch this year." I don't know what the earlier four times were like. No one there had any idea I was even going to say that. I just say it as a method of increasing stakes and creating the illusion of history in order to serve a narrative purpose. I'll often include real facts to serve the verisimilitude of a scene, but I don't have time to do real fact checking. I need to keep the momentum going and will gladly make up facts as a suits the narrative and my character.