I've just got a new laptop with 64GB of RAM and the laptop version of the 5080 to play with, so I'm planning to run as many local models as I can and have them interact with each other in fun ways.
AI as a tool is great IF you know what you're doing, which most people don't, hence the explosion of sloppy AI slop and tasteless generated content. I use it to prototype a lot of boilerplate code and tedious work, as well as turn pseudocode for algorithms into actual code — it's surprisingly good even when the algorithm is non-trivial, but
I still have to check every line and write extensive tests (which I do even for my own work) to make sure I don't miss anything.
Even so, when it comes to proprietary codebases, it doesn't know about the libraries of custom functions and methods, nor the overall structure, so any code it provides is isolated.
Vibe coding is good and all at breaking down barriers for, say, app development, but you often run into severe security/authentication issues and scaling them up is an exercise in hilarious failure.
In my opinion, most people are ignorant because they have little to no idea nor understanding about how AI works. Their opinions are essentially worthless when it comes to what AI is and its capabilities, present or future. It's a free-for-all when discussing the consequences or ethical concerns, of course.
I've often thought about writing and training a model to come up with tandas, but I still need to clean, cross-reference and verify the metadata for my whole library, which is about 90+ GB, so... Maybe in the next century or so.
