Eventually but I give it at least 1-2 years more. Too much big money has been put into this and they won’t just let their investment die without a fight
The bubble is propped up by governments.
They don’t need “as good as an employee but faster”. They just need “faster”, so they can process gathered data on an enormous scale to filter out the “potentially good” from the “not worth looking at”.
Then they use employees to actually assess the “potentially good” data.
Seriously, intelligence agencies don’t need “good ai”, they just need “good enough ai”.
And they have that already.
If you look at the numbers in the article the majority “broke even” but significantly more companies experienced gains from AI than experienced losses from AI. The headline is crafted to bait clicks.
Seems like the bubble’s gonna burst soon.
Eventually but I give it at least 1-2 years more. Too much big money has been put into this and they won’t just let their investment die without a fight
The bubble is propped up by governments.
They don’t need “as good as an employee but faster”. They just need “faster”, so they can process gathered data on an enormous scale to filter out the “potentially good” from the “not worth looking at”.
Then they use employees to actually assess the “potentially good” data.
Seriously, intelligence agencies don’t need “good ai”, they just need “good enough ai”.
And they have that already.
I guess that strongly depends on the use case.
In programming, they are far from good enough.
In article writing too. Now we can distinguish quickly a text written by a human from one written by a large language model.
If you look at the numbers in the article the majority “broke even” but significantly more companies experienced gains from AI than experienced losses from AI. The headline is crafted to bait clicks.