Two halves of one problem. What you feed the model, and what you do with what comes out: - Krea threw AI images out of the training set on purpose, because distilled data is sticky and the shortcut costs you the whole point. Roughly 30 to 40 in house classifiers run over billions of images - GPU utilization is a lie. It reads 100 percent while the tensor cores sit idle. Any GPU running above 78 degrees gets pulled rather than debugged - 1.3 million videos rendered by open source users in 90 days, from a framework deliberately designed so a small model could author it - An avatar generating continuously for eight hours with no reset, and a sixteen hour deployment being built. It costs about what serving a voice model costs - 10 dollars now buys three hours of continuously generated video. The old way was a slot machine at roughly 10 dollars a minute Watch the Generative Media track: