🚀 Physion Arc 1.0 — Anime Track is now live: @openart_ai takes #1# overall, while @character_ai leads the objective evaluation. We benchmarked frontier end-to-end video agents on ~1-minute anime creation across text-only, single-reference, and multi-reference tasks, using scripts and visual assets created with real anime directors — testing not just generation quality, but the ability to turn scripts and visual references into coherent anime sequences. Anime is an especially demanding test of video agents: character identity, expressive acting, visual style, shot composition, pacing, continuity, and storytelling all have to hold together across an entire sequence. Huge congratulations to @openart_ai and @character_ai for pushing the frontier of AI-native anime creation forward. 🎬🔥

🐶🏁 Three models. One race. We independently tested H3 Max by @fal, minimax H3 by @MiniMax_AI, and FastH3 preview by @haoailab @haozhangml @wlsaidhi across robotics, animation, movies, and ads. H3 Max takes the overall lead 🏆. FastH3_preview, meanwhile, is a community OSS effort that’s already keeping up surprisingly well, even beating H3 on overall Prompt Adherence 🥳 The bigger gaps show up in Visual Integrity and Human Preference. Full evaluation:

“Faster” and “better” are meaningless without context. Physion Labs would be happy to sponsor an independent evaluation of both models—not to pick a winner, but to map the real quality–speed frontier and show which tradeoff is worth making for each use case. Would both (@haozhangml, @isidentical) be interested in collaborating on this?