[anon234345566]

This, precisely.

I would add, there are some DL/ML business components which are in heavy use in some industries which given the companies size are giant productions deployments of "IA" (not expert systems or other automation technologies), so you could say we are actually living somehow in the principle of a golden age of "IA" (DL/ML techniques), but DL/ML techniques - at least what is known publicly to be the state of the art - has some practical limits (i.e. power consumption to traing useful models), but workarounds for those limits are being heavyly studied or solutions are being tested (as we speak indeed).

What's here for sure, it's a golden age of data: you can extract (meta)data from almost everything running on a CPU/GPU, the "likes" in everything are the users training models, not exactly the models you imagine (because you can associate/correlate some scenarios - "a birthday party at the office" - with others you would think are a lot different - "a christmas party at the bar" - but they'are not so different actually, and the features found by the training are more or less - it should be a % - interchangeable.

So yeah, every "like" out there is training something behind the scene.