Are you using AI?

I want desperately to use AI, but its simply no good for most industrial systems. Unfortunately, I think AI will get restricted before it can learn to be useful.

AI tries to stop me ever time I use it, .. that a cybersecurity risk, thats copy righted. thats propietary... I cant use it for work yet.

That’s a really interesting point, thank you. It sounds like you can see the potential value, but the current tools aren’t flexible or context aware enough for industrial systems yet.

The restrictions you mentioned are useful to hear too. It sounds like the issue isn’t only whether the answer is good enough, but whether the tool will actually let you use it in a work context without blocking, warning or avoiding the detail you need.

What kind of work task would you most want AI to help with if those restrictions and accuracy issues were less of a problem?

That’s a really interesting point, thank you. It sounds like you can see the potential value, but the current tools aren’t flexible or context aware enough for industrial systems yet.

The restrictions you mentioned are useful to hear too. It sounds like the issue isn’t only whether the answer is good enough, but whether the tool will actually let you use it in a work context without blocking, warning or avoiding the detail you need.

What kind of work task would you most want AI to help with if those restrictions and accuracy issues were less of a problem?

lol sensored the title of a story about a big white whale.

Aw man, theres so many things I would love to see AI trained on. 
Id like to say, hey AI, read my PLC program, and tell me where I have 36 contiguous registers free. or, optimize this ladder logic. or find and clean up unused registers. or read this engineering manual, protocol guide, or spec sheet, and return functions, values, whatever data, that pertains to the specific model hardware we use. Getting AI to read tech documents is nearly impossible to begin with, every OEM has sort of random formatting. A common theme is that every model in a product line is in one document. so then youre reading that document looking for functions pertaining to your specific hardware, and you have to carefully parse which functions track to which units, which makes designs and implementations hard. 

My main goal is process automation to maximize production, though for the last 9 months Ive been on sensors and logging of every type of thing.. 
while systems to do certain processes exist in the generic sense, even if IEC61131-3 exists, it doesnt mean you can utilize it in a practical way. PLCs have been out for decades, and many, new or old run the same code that ran 40 years ago. But their niche, regarded as such, theyve existed for so long, yet the documentation is persistently awful. PLC design patterns. Theyre not PCs, even if they operate similar to PCs. I have never been able to get good design tips out of AI for PLC systems. 

so AI wont / cant read the published docs, and to be fair, many of the published docs are garbage. 
theres many possible solutions, and opportunites for AI to succeed, but its all dependent on specific OEMs.

Theres other things that annoy me about AI, on the brink of being useful, but not there yet. 

Take Andriod studio for example. Andriod Studio now has integrated gemini AI. But the integrated AI doesnt know anything about andriod studio. its a generic code bot. Theres no features to it. The thing could do all sort of amazing operations, but its all generic. Hey AI, teach me how to use Android studio... then it could highlight menus, or help navigate the complex code it generates. but its not really aware of the platform it is in, which is infuriating, because both are Google products. 

I was using confluence today, and its the same sort of thing. I wrote an article on how to do a process. (Ive wrote many) did I write it in my personal articles, or the company articles? I'm not sure. Ask ROVO. Rovo tells me how to search. user = currentUser() ok thats cool, but it doesn't search keywords, or ignore case, or basic text search, so it has AI, but basic functionality is missing. I wrote about a bug in Rpiboot, I know the keywords, but can't recall the exact title, or project that the paragraph was published in.  We have this AI with access to all our company documents, and it cant do a proper search. 

I feel like its that way with many AI implementations, there's the low hanging fruit, that makes it interesting, but then where it could be legitimately useful, those features are not implemented, or may even be missing, because everyone assumes the AI implementation can do anything. 

it goes on and on like that. Part of it is AI, but part of it is the system integrator swapping out basic functionality for AI. For AI its context, but for a human user, its a half baked product. 

Theres an example I like:
you ask an AI did Captain Ahab die in Moby ***?
The current NLP paradigm is something like read the entire book into memory and parse it. 
which is horrendously inefficient. The answer, is on page 1. 
but thats not a smart systems approach. What could be done, is the book moby *** is a Canonical Novel. Books of this genre follow the pattern of having a beginning, middle and end, going from character intro, plot development, Climax, conclusion. 
being a lazy kid in high school, who doesn't want to read the whole book, but knowing the type of book, we could assert, that if moby *** is 200 pages, that the climatic section of that book would be around pages 180, and read that. but this is an intelligence assertion against a known structure.  That's what I dont see in AI. Maybe its there. I, the user of AI can not impart any of my knowledge onto the AI. Instead I have to repeatedly craft linguistically detailed instructions to get results. which from an automation perspective is pretty insane. 

You can of course see similar attempts at max lazy being deployed in AI. its just not smart about it. you upload a 2000 page pdf, and say hey parse this. AI will read the first few pages and try to answer your questions. Being sentient, you notice this. so you break a 2000 page document into 100 distinct PDFs. suddenly the AI can return better results. But again, its all things like tricks to leverage the system to compensate for a general lack of intelligent design. if the AI could find chapter 37, and read the 3 pages there, and not be confused or miss lead by sparse parsing.  then maybe it could be more useful.