Today we're releasing Coop 1.0, the world's first free, open source content review & enforcement system any org can self-host and build on. For the first time, any org, whatever its size or budget, can review, act on, and report CSAM end to end, for free.
roost.tools/blog/coop-1-...
Today, in a single day, @dwillner.bsky.social and I had meetings with people in England, Turkey, NYC, SF, Argentina, and Australia. Very inspiring to see four continents of folks all using Zentropi and united in the earnest work of building a better internet.
Since then, video has continued to be the modality where safety teams have had the fewest tools. Most options are fixed-taxonomy (e.g., "NSFW"), human review, or a frontier API call that's too slow and expensive to run at scale. None of them follow your rules. [2/n]
I distinctly remember being at Meta in the wake of the Christchurch massacre, when horrific videos were circulating across Facebook without end. The technologies we had for being able to accurately classify videos just didn't exist. [1/n]
That's why I'm especially excited to share that Zentropi now supports video! We've made it trivially easy for anyone to create video classifiers that are fast, accurate, and cheap to run at scale: blog.zentropi.ai/zentropi-now... [3/n]
The same policy-steerable classifier we built for text and images now applies to video. You can use our tools to write your own policy for video, optimize it according to your data, and deploy it live. Your rules finally rule. [4/n]
Video labelers are available to Zentropi subscribers today, but let me know if you want to give it a try. We want all platforms to have access to first class tools for video classification. [5/5]
The real question is whether these classifiers can find all the dogs that Dave has at home.