Then ChatGPT hit the scene and again, many of us dismissed it as a parlor trick that would never amount to much.
Using LLMs for coding initially was a only small step up from basic code completion, and a welcome farewell to Stack Overflow.
I am curious: what was the specific moment that you went from those quaint, dismissive observations to a slightly panicked, "Uh Oh" realization of what these models can do?
Tim here, maintainer of the lucide-motion-vue library. I build this as a way to use nice animated icons in my webapps. We were already on lucide, and found animate-ui animated icons as a great collection, unfortunately React only or made to be used with shadcn.
So I ported the library to Vue, and combined it with another library (lucide-animated.com). As both libraries dont share the same animations and/or icons, this creates the largest animated icons library for vue that can be used from one source.
Additionally, I've made several quality of live changes to make it easier to use the icons: - drop-in replacement for lucide icons, or use a seperate namespace if you want - several animation variants - easy to be used standalone or in buttons - several animation triggers - comprehensive overview, playground and docs page, comes with llms.txt to be used by agents
Finally, the repo also contains a "forge". With this, you can
a) take any icon from the lucide library, or have ai suggest some b) autogenerate animations for these icons c) add them to the library with one click
We'll use the forge over time to hopefully create animated variants for all of lucides icons, if these icons are useful to be animated.
Looking forward to hear your feedback Cheers!
This is an infinite canvas note-taking tool where notes are laid out in a non-Euclidean, hyperbolic geometric space. As you drag and navigate through the view, you’ll experience a unique fluid distortion that naturally leverages your brain's spatial memory.
I’ve been obsessed with the concept of space in HCI for years. Many modern UI patterns are essentially workarounds for the lack of screen real estate. While researching zoom-based UIs a while back, I stumbled upon old HCI papers that used the Poincaré disk model of the hyperbolic plane to organize data. It elegantly projects an infinite space into a finite disk, keeping everything contextually visible.
I wanted to build an experimental app around this concept years ago, but the non-Euclidean math was a significant roadblock. Recently, I decided to give it a shot with the help of LLMs. It turns out that LLMs can handle the mathematical heavy lifting quite well, specifically in designing the coordinate systems and optimization algorithms, provided that you guide them with a solid architectural design.
This is still an experimental demo, but I hope it leaves an impression. I’d love to know if you find this paradigm practical for organizing your thoughts.