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Just published today's AIography newsletter, and it's one of the densest weeks we've had. Canva shipped Canva AI 2.0 with what they're calling the world's first design foundation model and nine new capabilities. Google quietly opened Veo 3.1 to any Google account (10 free videos a month). Anthropic dropped Opus 4.7 the same morning. Runway's CEO went on stage at Semafor and pitched Hollywood on making 50 films with the $100M they currently spend on one blockbuster. And the WGA ratification vote opened today while SAG-AFTRA heads back to the table April 27. If it felt like everything happened at once today, that's because it did. The newsletter breaks down what actually matters from each announcement, what doesn't, and where Runway's 50-films math falls apart. Also calls out a real fact-check the writer team caught: Scene Extension isn't new this week, the free tier is. I write this twice a week because this space moves faster than any single person can track. My job is to translate what's noise and what's signal from inside the work, not from a press release. Free to read. Link in the comments. If you want the deeper workflows, tool breakdowns, and the "here's exactly how I'd set this up" walkthroughs, that's what Founding Members get. $29/month, locked for life, heading toward 50 members, then the price goes to $49. Which of today's announcements lands biggest for your work?

Hey Everyone, I've been under the weather. Well, that's an understatement. Some kind of stomach virus has had me completely knocked out. However, I saw the doc today, and I'm hoping it will be gone in the next few days. If things go as planned, next week, I'm doing the first of a 12-video series for founding members. We start from the beginning. Foundation models, what they are, what they mean, and where they actually fit into your AI filmmaking workflow. I'm excited about it, and I think you're going to like it. Talk soon, LJ

What happens when AI-generated creatures are designed for motion first, not just visuals? 8 original creatures to life using a cinematic framework grounded in real-world

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.