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Every "revolutionary" AI model launch comes with the same playbook: hype thread, limited-time discount, countdown timer creating fake urgency. WAN 3.0 launched today on the Pika API Club and skipped all of that. No expiring deal. It's just less expensive there, permanently. 30s native generation, up to 20 reference...

90,268 просмотров • 5 дней назад •via X (Twitter)

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Seedance 2.5 is live, and the headline for us isn't just the 30 seconds generation, it's that we got this in 2 generations. Seedance Enterprise We've been building freeze-frame and dialogue-driven shots for a while now and getting used to burning 10-15 attempts before something is usable, wrong eyelines, physics that drift, camera moves that ignore the prompt. This interrogation scene was usable on the first try, and I ran one more just to compare. That's the whole cost conversation right there: the compute per usable shot dropped, not just the compute per generation. It cuts a lot of timer off what this normally takes. What actually held up: the suspect's micro-hesitation before he reaches for the photo, the way the practical overhead light falls off across the table, and camera movement that feltchosen rather than random drift. It stayed coherent across a single unbroken 30-second take with real dialogue, no stitching, no seams to hide. We used Seedream for key frame planning, which made the reference alignment much smoother.Also worth knowing: multimodal references up to 50 assets, localized editing so you can fix one region instead of rerolling the entire shot, and multilingual support. Prompt 👇 Photorealistic psychological crime drama set in a police interrogation room. A detective presents crime scene photographs to a suspect. When one photo accidentally flips upside down, the suspect instinctively turns it the right way, unknowingly revealing knowledge only the culprit would have. The detective quietly realizes she has caught him. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

The AI Colony

67,623 просмотров • 24 дней назад

David Friedberg Explains Why AI Will Break Every Economic Model: Will Output Surpass Consumptive Capacity? I think fundamentally, if you're driving productivity with AI, you're driving leverage on human time and leverage on capital. The question is, how quickly can you drive that up? And that's a function of how much consumption there is, how much capacity there is for consumption. So if your earnings are the same, but things are getting more expensive, you're not happy. If your earnings go up by 10% and things stay the same price, you got 10% more than you had last year, you're gonna be happy. I just think all humans are driven by this need to consume more each year than they did last year. So I think for me, that's the lower limit on consumptive capacity in the world. The question that we're now facing, which we've never faced in human history before, is there an upper limit on consumptive capacity? Because AI creates such a profound shift in productivity and in leverage that normally you would say, “Hey, when we get a new tool or we get new leverage in a system, we build a new technology, we can make more with less.” Therefore, everyone gets access to more things for the same price or the cost of things that they consume come down by a certain price. But there may be a situation now where the ability to make stuff exceeds the capacity to consume stuff, and that is something that I don't think we’ve faced before. And I think that's where a lot of the models start to break. Just general economic models, just general productivity models and general social models. And this goes to the point about, like, what is everyone going to do? In the same way that I think we've argued that maybe SaaS was a transitory business phenomenon that existed between the foundation of the internet and the era of AI, it may be the case that knowledge work in general is also a transitory phenomenon that only existed between the foundation of the computer, or computing tools, and the existence of AI, generally speaking. And if all of that goes away very quickly, and all of those people can be redistributed and recast into doing other higher level, more creative things, their productivity goes up by 100x, is there really a consumer on the other end of all of that productivity? Is there really enough consumptive capacity? And I think that's the profound question that we all face.

The All-In Podcast

81,878 просмотров • 6 месяцев назад