A mystery AI video model called HappyHorse-1.0 showed up on the Artificial Analysis benchmark last week with no name attached. Within days it was #1 in text-to-video AND image-to-video, beating Seedance 2.0, Runway Gen-4.5, and every other model on the board. Then Alibaba raised their hand. Turns out it was built by their ATH AI unit, led by Zhang Di, the former VP of Kuaishou who built Kling AI's technology. The guy who built the previous champion just built the new one. For a different company. The numbers aren't close. 1333 Elo in text-to-video (60 points ahead of #2). 1392 Elo in image-to-video (37 points clear). And here's the part that matters: it generates video and audio together in a single pass. Not two separate models stitched together. One transformer, 40 layers, everything at once. They've confirmed it's going open source. API access starts April 30. If that open source release actually delivers benchmark-level quality, the math changes for everyone paying monthly for Runway or Kling. The best model in the world, free to download and run locally. Worth paying attention to. What do you think this means for the paid tools? Does free + best quality kill the subscription model? Drop your take below. Founding Members are getting a full technical breakdown of HappyHorse's architecture and what it means for your workflows this week.

Google dropped a quiet bombshell this week. Veo 3.1, their AI video generation model, is now free for anyone with a Google account. Ten video generations per month, no subscription needed. You can open Google Vids right now, type a prompt, and get a high-quality AI video clip back. Free. They also added: - AI avatars you can direct (change outfits, pose them in scenes, keep voice consistent) - Custom music generation via Lyria 3 (30-second clips up to 3-minute tracks) - One-click publish to YouTube For indie creators testing ideas, prototyping a pitch, or mocking up a concept before committing real budget, this is significant. Ten free generations won't cover a full production, but they'll cover the "what if I tried..." phase that every good project starts with. If you're on a Google AI Ultra plan, you get 1,000 generations per month. That's a different conversation entirely. What's your move? Have you tried Google Vids yet? If you have, what's your honest take on the output quality compared to Runway or Kling? Drop your experience below.

A digital “Tillyverse” for AI actors is coming. The WGA West canceled its awards ceremony over a staff strike. Luma dropped Ray 3.14 and put $1M on the table at Cannes. And fresh data from 120,000+ AI-generated videos shows just how mainstream this has become. What’s fascinating isn’t just the tech getting better (it is). It’s that acceleration and resistance are happening at the same time. On one side: synthetic talent ecosystems, production-ready video engines, vertical video dominance, global adoption. On the other: labor unrest, anti-AI film festivals backed by Oscar winners, and guild tensions playing out in public. We’re not watching a trend. We’re watching the industry reorganize itself. I break all of this down in today’s AIography—including what actually matters for filmmakers trying to build careers right now (not just argue on Twitter). If you’re not subscribed yet, it’s free and takes about 7 minutes to read. 👉 Click HERE to subscribe. And as always—I'm curious: Are we heading toward two parallel Hollywoods? Or does this all eventually merge? Let’s discuss.

Future of Video Editing. How 'Vibe Editing' can fix audio, remove silences, add B-roll, correct eye contact, and even translate your video.

For anyone in Los Angeles, the third annual AI on the Lot is happening this May 28-29 in Culver City. It's the largest gathering of professionals interested in the AI film space. Tickets just went on sale! https://www.aionthelot.com/