Man, these AI-generated UIs are so bad. They always look pretty at first glance... punchy headline, nice colors, lots of "widgets" and doo-hickeys. But it's just a nice paint job. Trying to actually read them is a recipe for suffering.
This one has at least 20 distinct text styles. They are seemingly deployed in random ways, following no discernible hierarchy. the smallest text is "9.6px" which is not only small, but also fuzzy due to the 0.6 pixels (?? why) making it impossible to read.
Likewise for the size, placement, and emphasis of various widgets on the page. Altogether it's just a big pile of information. It's hard to know where to begin, or how one's eye should move around the page
(In their defense: this particular UI is attempting to convey a very complicated sequence of interrelated events from multiple data sources. Doing that well isn't easy.)
I've become convinced that AI models have no concept of 'white space' or cognitive load which is something technically minded folks have already seemed to underappreciate so it is amplified in situations like this.
To call it out again...
(1) almost no white space - every square inch is communicating information
(2) no clear hierarchy - almost in search of minimizing white space and presenting maximum rather tham maximally useful information.
(3) no consistency of any taxonomy for presenting information across the page
(4) no guidelines or legend for interpreting what any of the visual cues (color, size, etc.) mean.
There is a huge push in engineering at least to try and introduce better communications skills into curricula. It is hard in part because students are very much of the mindset that information and meaning is inherently shared and structuring a narrative or story is to whit unnecessary. This is in part because so much of their education is focused on the bulk transfer of facts and an assumption they will stitch information together into knowledge.
We're in the geocities days of AI UI.
"this particular UI is attempting to convey a very complicated sequence of interrelated events from multiple data sources. Doing that well isn't easy."
True. But it doesn't even feel like they tried. Why is it fashionable to shit out something that feels low effort?