By the looks of it, 2026 might be the year where reality and fiction will finally collide with AI and we'll be able to see if all the hype was warranted.
But like all the previous hype, most of the people that were the loudest won't say they were wrong, and they'll move to the next thing, pretending like they never were the one that portrayed AI as the holy Graal.
AI is real but the socio-political environment is far from conductive to some form of productive use of it - as opposed to using it as a war-machine - AI isn't going to fail in that role but very few will be happy about it.
I mean, disillusionment is the least of my worries.
> and we'll be able to see if all the hype was warranted.
Umm, what? For the past 3 years, every year I've said something along the lines of "even if models stop improving now, we'll be working on this for years, finding new ways to use it and make cool stuff happen". The hype is already warranted. To have used these tools and not be hyped is simply denial at this point.
> most of the people that were the loudest won't say they were wrong
I was so expecting to find this wind-up aimed at those peddling the "AI is hype" laziness.
It's laziness because they have little CS fundamentals to base such claims on, and the deductions can be made, just not clearly to people who need to study a lot more.
It's like watching an invisible train (visible to those with strong CS) rolling down the tracks at a leisurely pace. Those sitting in their stalled car on the tracks are busy tweeting about "AI HPY PE TRAIN." Until it wrecks their car, the gimmick is free oxygen. It's a lot easier to write articles than it is to build GPUs and write programs.
There are all sorts of algorithms in use that were once thought of as AI, but transitioned to being mere algorithms well before they entered public awareness, if they did that at all. Some are still useful and used everywhere, but they have never been thought of as AI by the public. For them, AI is a term that has long been reserved for some far-off, sci-fi future.
LLM's are not artificial general intelligence (i.e. not sci-fi AI). Why haven't they transitioned to being mere algorithms by now? Why is the public being told AI is finally arriving when it's really just another algorithm?
We have some truly slick and shady corporations involved in the bubble right now and they're marketing LLM's like tobacco. LLM's have been pushed out, at immense cost, to the public in a way that makes them more directly accessible to average people than any past algorithm. Young children can ask a LLM to do their homework for them. Middle managers can ask a LLM to create a (shitty) ad campaign for them. Corporations have gone to tremendous expense to make that widely available and, for the moment, mostly free. They seem to be following the Joe Camel school of marketing. Get them hooked while they're young so they come to you first when they're older! The only difference is that nobody is stepping in to stop the new Joe Camel from handing out free samples to kids.
Then there's the "go big" aspects of the bubble. The major competitors are trying to out-spend each other to dominance, but the suckers are so colossally big that their bubble is affecting global GPU, memory, and storage prices. This bubble is going to stress power grids wherever it operates and do considerable environmental harm. The financial games being played behind the bubble are absolutely stupid. The results, so far, are tantalizing for billionaires. LLM's offer the promise of being able to fire all their pesky and annoying human workers. It won't deliver on that, and none of these companies is ever going to make enough to pay their debts. There might be "too big to fail" government bailouts, but there are going to be some big bankruptcies too.
Useful algorithms will come out of all this, a lot of tears too, but not "AI".