I don’t follow. Machine learning was coined to specifically describe the application of neural networks to unsupervised classification systems. Its meaning has grown beyond that, but at the outset, it was a niche part of artificial intelligence. Now you’re saying that AI is a subset of machine learning?
When a company (or most people) today (now) says “AI”, they are not referring to the area of study traditionally called artificial intelligence. They are talking exclusively about transformers or diffusion.
Which is a subset of what has always been called AI, and different enough from what “machine learning” was when the phrase became commonplace that it might actually be confusing to use that term. The multi-layer perceptron is a machine learning system, but attention networks are kind of their own thing even if they originally came out of machine learning research. So the transformer architecture isn’t exactly cut and dry machine learning.
