> It's how AI becomes transparent after wide adoption.

I don't like this framing for video filters.

Go back ten years and nobody thought of that kind of visual effect as AI. Then someone made an AI version, and people talked about that for a bit, then they went back to considering the actual effect.

This is very different from situations where a task is inherently thought of as an AI task when people are anticipating it.

Maybe not the best example, although I still remember filters became huge around the same time the AI versions started emerging. Video transcripts are another example, or even text translation at this point. These are widely used forms of AI but it's not what most people are talking about when they talk about AI.

I think a large part is because those uses are much more sensory than thinky. And for those sorts of uses they're good at using a huge corpus to clean up the details but straightforward algorithmic methods can get into the same ballpark.

We just get use to material objects very easily, like colour TV for example, was amazing I don’t own one and would prefer to read a book or surf the net.

If we had flying cars tomorrow morning it would be a wonderful novelty but we’d get bored with them too.

As I have heard said, humanity’s first major experiment with AI was social media recommendations - we lost.