[brookst]

Yep. We rarely talk about “the internet” because everything is the internet. We even more rarely talk about transistors, outside of tech enthusiast circles. And electrons get even less attention.

AI is an ingredient that will power products and experiences, and we will talk about those.

[mingus88]

We will still talk about AI in five years because AI is still massively behind what the general public thinks of as AI

Think skynet or HAL. All powerful and all knowing systems that run every aspect of our lives.

Even our concept of VR is so far behind what people have expected from sci-fi movies for decades. Until we can jack in and get full sensory feedback, VR will continue to get talked about out as more than fancy 3D glasses.

In the 80s we all wanted the hoverboards from back to the future. We never got them but we keep calling things with wheels hoverboards because these ideas are too good to die and the general public still wants them.

[IshKebab]

I doubt it. A recommender system is not "obviously" AI - it could easily be just static lists, or based on viewing counts (wouldn't be surprised given how bad Netflix's algorithm is).

LLMs and gen AI are totally different. They are very clearly AI. You're literally having a conversation with a computer! I don't think people will stop calling it AI.

[alephnerd]

30 years ago, graph traversal algorithms using weights and min-max were treated as AI.

And recommender systems were/are absolutely a ML/AI subfield.

> I don't think people will stop calling it AI

That already did in the above two cases, as well as plenty of other cases in the entire ML/AI world.

[IshKebab]

> 30 years ago, graph traversal algorithms using weights and min-max were treated as AI.

Yes, by AI practitioners. The difference is that the general public has always had an idea of what "AI" means, and LLMs are the first thing that actually matches that.