For a while it seemed that "AI" topics were treated as niche and news articles used relatively specific terms of art like deep learning or machine learning. Somehow ChatGPT changed that and now everything is just AI.
ChatGPT changed that because it, along with other current advances, brought AI out of its niche and into widespread mainstream usage. The laboratory the source article covers (https://www.mayo.edu/research/labs/radiology-informatics/ove...) publishes some of the technical detail you're interested in, but in 2025 it's also interesting to people less familiar with theoretical computer science. The doctors quoted in the source article, using programs that can calculate kidney volume or detect blood clots, don't necessarily want or need to know the difference between "artificial intelligence" and "deep learning".
I do my best to filter ai topics here using ublock, and it's blocked about a third of the posts, and yet every day there's a new variation, whether a new technique/technology, a new product (open source or commercial), etc... that I have to add to the filter. It's really offputting. Yet apparently this is the only site besides lobste.rs that has programming related content that is of any depth that I know of.
I really wish hacker news had the ability to tag posts and let me filter (and tag them generally not have to get specific on each new buzzword or product).
I'll speak for myself, for me it's illustrated by the spam sketch from Monty Python. It crowds out everything, including my mental space. The hype and disconnect from reality make it intriguing to my brain so I am very likely to end up reading the comments about it, but it's usually a waste of my time. Software does what it does and my opinions (or anyone else's) just don't matter. I should focus my time on learning and building instead of trying to understand hype.
