Raw LLM Responses

As an AI Expert, it never ceases to amaze me the degree to which ordinary people (or even professionals) are willing to grant "god-like" trust in anything a computer does. Back in the 1960 the program Elisa was developed as a demonstration of that fact. The program merely rearranged user inputs into a question back to the user. Yet Psychologists everywhere hailed it as the beginning of computer psychotherapy, while the program itself knew no therapy procedures -- just converted anything said into a question. Of course I'm sure with the advent of the PC that everyone believed it would do everything for them or their business. We now know that it was just a tool and little else. We still had to do most of the work ourselves. And herewe repeat ourselves again with our beliefs in AI. Even today when I try to describe AI they don't hear what I tell them and cling to some version of "Terminator" -level technology. We are NOT there yet. As an AI Expert let me describe AI in simple terms. It is a Pattern-Matching system and that's all. It doesn't Think. It doesn't know Logic (which is essential in Law). Just Pattern-Matching. The core routine is Matrix Math (taugjt in High School) which is the primary circuit of a GPU. With this single function one can Rotate an image, Scale an image, Move an image or Skew any image. And does this in order to make a match (one in memory to one from a camera). Thus it can match signs, lights, text, and cars or other objects. Also if you had 3 images (road ahead, road edge, dotted line) if the best match is road ahead then steer straight. If best match is road edge, then steer left. If best match is dotted line, then steer right. These and other simple rules and you have a Self Drive Car. Simple so far? An image is a 2D object but it can also do 3D (for positions in space) or even 1D such as text. All using the same Matrix Math. And ChatGPT does the same thing with text as images above. The source it uses come from web pages and chat geoups. It looks for the best pattern-match and returns that. It doesn't even know what it says and will follow any matching pattern to your input. It can look like its thinking but the only ones alive are the people who wrote the text. Worse, as a simple program it will come up with ANY answer rather than none -- even if the match is low so long as it doesn't get a better match in the seconds allowed by the algorithm. Try asking ChatGPT about its childhood or anything else obviously impossible and you'll see what I mean. You xould get it to argue the Earth eas Flat simply because someone out there has. Hasn't anyone told you "Don't believe everything you read on the Internet"? Well, that's its source. Whatever anyone can write. We have seen some amazing things done by mixing & blending patterns-- all the way up to driving cars. But don't be overawed by that. We still have a ways to go to actually make a Thinking Machine. One of these missing elements is a Logic Layer. Something that understands what is & isn't Logical. One that can analyze and differentiate Fact from Opinions or the illogic. Wouldn't you think that is the primary function in Law? A good logical argument. Well, a Pattern-Matching system is NOT that. Anyway, I hope this helps you understand AI and the state of the art.