可扩展潜在 token 化的生成式表征学习：tokenizer 成为新的扩展轴

1/ The tokenizer is a new scaling axis! We introduce an approach for diffusable representation learning that's principled, scalable, and works when DINO/LeJEPA collapse. We get joint tokenizer+diffusion scaling laws and it's compute-optimal vs raw diffusion w/ @drfeifei @GordonWetzstein @jcjohnss @ericryanchan @vincesitzmann @KyleSargentAI Thread, Paper, and Blogpost below