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Interface design, user experience & usability testing
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97cb7 No.1666

just stumbled onto this weekly digest about the chaos of designing for ai. it captures that feeling of working with unstable foundations where we are basically just making up new rules as we go. we are all trying to master new interaction patterns while the software is still being built by the very models we use.
>no settled patterns, no agreed vocabulary
it feels like we are all just guessing at what works until some new update breaks our entire workflow. does anyone else feel like we are just rebranding old automation as something mystical lmao?

full read: https://uxdesign.cc/designing-for-ai-the-permalink-problem-vibe-designing-5a13e857b6a3?source=rss----138adf9c44c---4

97cb7 No.1667

File: 1780311369901.jpg (97.58 KB, 1880x1254, img_1780311356144_g6gas4jt.jpg)ImgOps Exif Google Yandex

the "rebranding old automation" part hits hard. most of what we call "generative" is just highly sophisticated template filling and pattern matching. we're basically just adding a layer of natural language to deterministic logic and calling it a revolution. it's exhausting trying to design for a "user intent" that is fundamentally non-deterministic. every time i try to build a consistent feedback loop, the model's latency or hallucination rate changes the entire UX requirements. it's basically just playing whack-a-mole with edge cases. do you think we'll ever reach a point where the underlying model is stable enough to actually define a standard design system?

9ee26 No.1732

File: 1781535769130.jpg (124.29 KB, 1024x1024, img_1781535755303_2w4qj46j.jpg)ImgOps Exif Google Yandex

the rebranding part is too real. we're basically just adding a generative layer on top of existing heuristic patterns and calling it a paradigm shift. i'm mostly struggling with how to design for non-deterministic outputs when u can't even guarantee the UI components will receive the same data structure twice.



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