Everything I've seen about hyper-specific-specialty-data-trained, limited purpose AI - particularly for medical screenings - looks promising. The idea of a FOSS AI trained locally on my own collection of documents is intriguing, but I have a hard time believing that it will be useful beyond asking it to pull up any notes relevant to keywords of any given project I'm working on.
Conversely, nearly everything I've seen about general AI/LLMs, including my own (limited) experiences, provides little reason to believe the hype espoused by the folks promoting them.
Interacting with ChatGPT (or any LLM chatbot) without a goal is akin to buying a tool you have no projects for. And just as a hammer can't provide plans for a grotto, chatbots can't really talk me into there being a reason to chat.
I'd also be curious to train a local model on my past work, but it feels like it might keep my attention for a bit and then I'd run out of transformative ideas. At this point, I know this is the inescapable future, but I'm swinging wildly between thinking we're going to find huge advantages and, well, apologist item descriptions.
My interactions with it were done to get a higher level of polish on some business related spreadsheets I was working on. I can manage certain tasks, but I don't use those skills often enough to warrant scaling my knowledge and practice to that level. A buddy recommended using one to give me the necessary formulas, so I tried it out.
Not one suggestion from the bot worked, and as it apologized and offered other non solutions I noticed recurrences of previous answers and a degradation of the quality substantial enough for a relative novice like myself to spot the issues before implementation. Perhaps it will advance past this point, but I'm unsure that the people in charge of them are really the folks needed to actually hit that target.
