@SiliconJungle shared a bunch of experiments about ways to display interesting steering vectors and features for editing images.
https://x.com/JungleSilicon/status/1798009344497164297
Gytis went further and previewed some very exciting work training sparse autoencoders on an image encoder/decoder model, and using it for understanding and editing images. Having played a bit with these demos, they are truly mind-bending, and I can’t wait for more people to try it. It’s really hard to imagine going back to pure-text prompting.
https://x.com/gytdau/status/1799178186871476661
https://x.com/gytdau/status/1798829002167333136
I also really enjoyed Alex’s (@ajeon66) side project Lapin that lets you explore a topic by having an LLM create Twitter-style “threads”. This was partly inspired by Max’s “Delve” project, which implements a simpler interface for a similar experience.
https://x.com/ajeon66/status/1799987480705605915
https://x.com/maxkriegers/status/1794739768993239134
I’m eagerly following Gray’s spectrographic music player project. If you’ve watched any of my recent talks, you know how excited I am about tools that let us understand and visualize media in unconventional ways, and this is a huge inspiration.