As the parachutist says to the pilot: "I'll stop jumping out of perfectly good airplanes as soon as they start making them."

I've fiddled with enough hosted ones enough to know the hosted solution's value add is almost entirely in the hardware stack it takes to serve inference traffic at scale, and whatever that company decides "alignment" means. The major quality is found in asking the right question, and getting the right answer. Not vomiting out subtly wrong answers faster. I don't need the thing doing work for me, I just need it to occasionally give me hints on where I might want to look when I get stuck. A local model fulfills that purpose just fine. It may take a bit to get an answer back, but you can bet your sweet ass that by the time I get that answer back, I've thought things through enough where I can pretty much instantly point out bullshit vs signal. Bonus: It doesn't add my codebases to the training dataset.

But please, do go on. Continue to tell me how a tool perfectly good for my use case is a bad idea. I'm all ears. > /dev/null