this post was submitted on 25 Feb 2026
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To be clear, it only wildly fails to meet expectations in sectors that you hear about.
It's most definitely medium expectations in sectors you don't hear about because news and social media have a huge negativity bias because that gets views and engagement.
If we want to fight this scourge, we need to be more informed about it.
Like what sectors?
Contact centers, software development, automation, images and video analysis, data analysis, semantic search, entity recognition, advertising, misinformation campaigns, social media, security scanning & automation...etc
Many of these are cross-cutting across many sectors, some of these are sectors you don't think of as they are driven by government entities.
And many of these have boring quiet tools and integrations that you don't hear about because they "just work".
You only hear about the shit that doesn't work. Not the shit that does work.
Edit: inb4 a reply of a narrow use case or shitty implementation that, obviously, doesn't work, which I already called out as a bias.
Law enforcement and military
I think it's more like expectations have been deliberately lowered in those fields to meet exactly what AI can deliver. Unpredictable, arbitrary, non-negotiable decisions are the point, and the goal. It's not about enforcing any laws or achieving any actual outcome other than making innocent people fear for their lives. And it's doing a fine job at that.
Oh yeah I just read how AI keeps suggesting nuking everyone. That sounds like a great success. (I get what you mean, I just wanted to be a wiseass)
https://www.upi.com/Odd_News/2026/01/05/Heber-City-Police-Department-AI-program-officer-frog/9641767634540/
Doesn't seem to be meeting expectations in that sector either.
I certainly expect that the visual models are meeting expectations in the racial profiling department.