[I literally had this thought in the shower this morning so please don’t gatekeep me lol.]
If AI was something everyone wanted or needed, it wouldn’t be constantly shoved your face by every product. People would just use it.
Imagine if printers were new and every piece of software was like “Hey, I can put this on paper for you” every time you typed a word. That would be insane. Printing is a need, and when you need to print, you just print.
That’s just not true at all. Plenty of products are hyped where the value is self-evident; it’s just advertising.
People have to know about your product to use it.
It’s not “just advertising”. It’s trying to force AI into absolutely everything. It’s trying to force people to use it and not giving a shit if customers even want the product. This is way, way worse than "just advertising“
There’s a different between hype and advertising.
For one, advertising is regulated.
There’s a vast difference between advertising a good product that is useful to hyping trash.
Good products at a reasonable price usually require a brief introduction but quickly snowball into customer based word-of-mouth sales.
Hype is used to push an inferior or marginally useful product at a higher price.
Remember advertising is expensive. The money to pay for it has to come from somewhere. The more they push a product the higher the margin the company/investors expect to make on its sales.
This is why if I see more than one or two ads for a product it goes on my mental checklist of shit not to buy.
Shoving AI into everything and forcing people to interact with it, even when dismissing all the fucking prompts, is not advertising.
it means these companies are losing money on keeping the AI datacenter open, so they need someway to recoup some of the money they spent, by shoveling into the products they sell, or selling it to a sucker who is willing to implement AI everywhere, the subs discussed its going to be retail who ends up with the useless AI.
All of that is true, but does not describe advertising.
You’re right that the use cases are very real. Double checking (just kidding never would check in the first place) privacy policies (then actually reading(!) a couple lines out of the original 1000 pages)… surfacing search results even when you forgot the specific verbiage used in an article or your document…
Do you also see some ham-fisted attempts at shoehorning language models places where are they (current gen) don’t add much value?