It's got a decent chunk of good uses. It's just that none of those are going to make anyone a huge ton of money, so they don't have a hype cycle attached. I can't wait until the grifters get out and the hype cycle falls away, so we can actually get back to using it for what it's good at and not shoving it indiscriminately into everything.
The hypesters and grifters do not prevent AI from being used for truly valuable things even now. In fact medical uses will be one of those things that WILL keep AI from just fading away.
Just look at those marketing wankers as a cherry on the top that you didn't want or need.
I think the vast majority of people understand that already. They don't understand just what all those gadgets are for anyway. Medicine is largely a ''blackbox" or magical process anyway.
There are way too many techbros trying to push the idea of turning chat gpt into a physician replacement. After it "passed" the board exams, they immediately started hollering about how physicians are outdated and too expensive and we can just replace them with AI. What that ignores is the fact that the board exam is multiple choice and a massive portion of medical student evaluation is on the "art" side of medicine that involves taking the history and performing the physical exam that the question stem provides for the multiple choice questions.
Also, for GPU prices to come down. Right now the AI garbage is eating a lot of the GPU production, as well as wasting a ton of energy. It sucks. Right as the crypto stuff started dying out we got AI crap.
It's a money saver, so it's profit model is all wonky.
A hospital, as a business, will make more money treating cancer than it will doing a mammogram and having a computer identify issues for preventative treatment.
A hospital, as a place that helps people, will still want to use these scans widely because "ignoring preventative care to profit off long term treatment" is a bit too "mask off" even for the US healthcare system and doctors would quit.
Insurance companies, however, would pay just shy of the cost of treatment to avoid paying for treatment.
So the cost will rise to be the cost of treatment times the incidence rate, scaled to the likelihood the scan catches something, plus system costs and staff costs.
In a sane system, we'd pass a law saying capable facilities must provide preventative screenings at cost where there's a reasonable chance the scan would provide meaningful information and have the government pay the bill. Everyone's happy except people who view healthcare as an investment opportunity.
Those are going to make a ton of money for a lot of people. Every 1% fuel efficiency gained, every second saved in an industrial process, it's hundreds of millions of dollars.
You don't need AI in your fridge or in your snickers, that will (hopefully) die off, but AI is not going away where it matters.
Hardware for faster matrix/tensor multiplication leads to faster training, thus helping. More contributors to your favorite python frameworks leads to better tools, thus helping. Etc.
I am aware that chatbots don't cure cancer, but discarding all the contributions of the last two years is disingenuous at best.
I once had ideas about building a machine learning program to assist workflows in Emergency Departments, and its' training data would be entirely generated by the specific ER it's deployed in. Because of differences in populations, the data is not always readily transferable between departments.