Sorry, that's AI. So is OCR, so is voice recognition, and many other things you probably use and take for granted. I'd suggest you focus on use cases not trying to redefine definitions for an entire area of science and technology based on your own preferences.

Saying "I'm against fully AI generated music" is at least precise, and doesn't throw out detecting cancer along with the AI bandwagon term.

> Sorry, that's AI. So is OCR, so is voice recognition, and many other things you probably use and take for granted

Have you heard of machine learning?

AI and voice recognition were using "machine learning" for several decades, which is basically just brute force statistics.

ML voice recognition is still far superior to AI-based voice recognition. At its best, Gemini is still less accurate at parsing speech than Dragon Naturally Speaking circa 2000.