I've been exploring the buzzword for generative UI. In theory, if your training data includes all possible UIs you can find (which is a much smaller dataset compared to LLM) and human interaction data, then tokenizing these data, like Sora did with video, opens up numerous applications. Rabbit’s LAM essentially trains AI to mimic human interaction with UI and eliminates the need for API integrations. However, you can also generate personalized UIs for individual users based on factors like right/left-handedness, thumb versus finger interaction, dark versus light theme, and font size for different age groups. Essentially, any UI preference can be generated. I'm intrigued by this potential future direction. And no, I don’t believe designers will be replaced by AI. But the process of designing/developing/building an app like that will be significantly different.
Eh lol
Tomorrow
why is rabbit's approach not globally optimal? Like what is the point of ui's once you have a rabbit LAM that works? Im speaking hypothetically here, but im curious
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Does this really need to be generative? Accessibility features already exist where users can personalize their own UI. What’s the value add here besides potentially confusing users w an over engineered product?
Well, all the current trend of Gen AI is about speed not quality. Human and AI can write same quality code (or even less quality code) yet 40% of GitHub code is written by copilot. Same thing here for UI development. Yeah designer and dev can manually design all possible preference combinations, but at what cost? Again Gen Ai win with speed not quality. Of course this tech is at its infant state. Like you said, it will start with the potential of confusing lots of users. But it could also get better, or just die like blockchain. For now, I will not go all in on this trend. But maybe invest a bit of time in case it blows up. :)