Personal update to share. After 8.5 years, I've decided to step away from day to day operations at @Audius. I'll remain on the foundation board and continue to be an active participant there going forward.
I spent 25% of my life to date working on Audius. My most formative life experiences happened during this time. I am sad, but I also recognize that Audius needs fresh eyes and fresh ideas to reposition in todayβs market.
The project is in great hands, and Iβm very excited about where things are headed. The API product is growing rapidly: AI-assisted software engineering has been a strong tailwind for programmatic usage of Audius by developers. Lots coming down the pipe with that product line soon too.
As for what's next for me, more on that soon. But for now, I just want to say thank you to everyone who has supported the Audius mission over all these years - team members, investors, ecosystem partners, and most importantly, the community of creators that have made Audius such a special place to hang out over all these years. Your support means the world, and together, we created something special that continues to stand the test of time.
More to come!
@KyleSamani@audius thank you so much @KyleSamani - was such a joy to work together, @audius wouldn't be the same without your support over all these years
in honor of astra pushing the frontier this weekend, we @amppublic are going to free up ~1K chips (interconnected) from our internal research pool for interesting projects for the next 2 days as a grant
reply below with info on your project, and how many nodes you'd like
today, @OpenRouter is joining @stripe
this is good for frontier alignment and ecosystem security
you can read why, here: https://t.co/s2oycbulw9
thank you @alexatallah@cclark and team for your stewardship - here's to all the scaling ahead of us
nostalgia in thread below
Introducing FLUX 3.
One multi-modal model for Image, Video, Audio and Action-Prediction. Creations are truer to life in every kind of style.
FLUX 3 Video is now available in early access (link below).
Jointly trained in one unified architecture, our model can be extended to predict actions for robotics. See our work with mimic and Audi in the thread.