It's not just in the LLM space; even for 'older' models, companies have aggressively embraced this approach. For example: YOLOv3 has been appropriated by a comp

It's not just in the LLM space; even for 'older' models, companies have aggressively embraced this approach. For example: YOLOv3 has been appropriated by a company called Ultralytics, which has subsequently released the 'YOLOv5' and 'YOLOv8' "updates": https://github.com/ultralytics/ultralytics https://github.com/ultralytics/ultralytics There is no marked increase in model effectiveness in these 'new' versions, but even if you just use the 'YOLOv8' Pytorch weights (and no part of their Python toolchain, which might have some improvements), these will somehow try to download files from Ultralytics servers. Possibly for a good reason, but most likely to, let's say, "pull an Oracle." Serious AI researchers won't go anywhere near this stuff, but the number of students-slash-potential-interns with "but it's on GitHub!" expectations that I had to reject lately due to "nope, we're not paying these guys for their Enterprise license just to check out your project" is rather disheartening...