
If you don’t mind me asking, what do you do and kind of AI? Maybe it’s the autism but I find LLMs are bit limited and useless but other use cases aren’t quite as bad Training image recognition into AI is a legitimately great use of it and extremely helpful. Already being used for such cases. Just installed a vision system on a few of my manufacturing lines. A bottling operation detects cap presence, as well as cross threads or un-torqued caps based on how the neck vs cap bottom angle and distance looks as it passes the camera. Checking 10,000 bottles a day as they scroll past would be a mind numbing task for a human. Other line is making fresnel lenses. Operators make the lenses, and are personally checking each lens for defects and power. Using a known background and training the AI to what distortion good lenses should create when presented is showing good progress at screening just as well as my operators. In this case it’s doing what the human eye can’t; determine magnification and defraction visually.









I don’t know enough about copilot as work has made it optional for mostly accessibility related tasks: digging through the mass of extended Microsoft files in teams, outlook, OneDrive to find and summarize topics; record meeting notes, not that they’re overly helpful compared to human taken notes due to a lack of context; and normalizing data, as every power BI report out is formatted as it’s owner saw fit.
Given it’s ability to make ridiculous errors confidently, I don’t suppose it has the memory to be used more like a toddler helper? Small, frequent tasks that are pretty hard to fuck up, once it can reliably do these through repetition and guidance on what’s a passing result, tieing more together?