{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bc8d67358b5a407889c873638bc24527\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bc8d67358b5a407889c873638bc24527-bd82af44de777eb8.gif","duration":545.942,"title":"Understanding the Judging System of ARB Collective","description":"In this video, I explain how the judging system on ARB Collective operates, utilizing our AI judge built on Gemini 3 Flash as of February 13th, 2026. Users can submit text or image impressions, with the judge ranking the real target against nine decoy targets based on similarity. I emphasize that the judge is completely blind to the real target, ensuring fair evaluation, and I’ve open-sourced the judging code for transparency. Additionally, I developed an alternative AI judge that, while less effective, still produced results above chance, reinforcing the reliability of our current system. I encourage viewers to explore the open-sourced code and understand the meticulous testing that supports our judging process."}