From the Zed Blog: Favorite workflows and hidden features from the Zed team and community.

The nuance between seeing and perceiving, linearity and non-linearity, what EOTFs are – and how to draw nice smooth gradients against the odds

Blog post

Age verification laws are proliferating fast across the United States and around the world, creating a dangerous and confusing tangle of rules about what we’re all allowed to see and do online. That's why today, we're launching EFF.org/Age, a one-stop shop for users seeking to understand what these laws actually do, what’s at stake, why EFF opposes all forms of age verification, how to protect yourself, and how to join the fight for a free, open, private, and yes—safe—internet.

For decades, procedural worlds have been built on procedural noise functions such as Perlin noise, which are fast and infinite, yet fundamentally limited in realism and large-scale coherence. We introduce Terrain Diffusion, an AI-era successor to Perlin noise that bridges the fidelity of diffusion models with the properties that made procedural noise indispensable: seamless infinite extent, seed-consistency, and constant-time random access. At its core is InfiniteDiffusion, a novel algorithm for infinite generation, enabling seamless, real-time synthesis of boundless landscapes. A hierarchical stack of diffusion models couples planetary context with local detail, while a compact Laplacian encoding stabilizes outputs across Earth-scale dynamic ranges. An open-source infinite-tensor framework supports constant-memory manipulation of unbounded tensors, and few-step consistency distillation enables efficient generation. Together, these components establish diffusion models as a practical foundation for procedural world generation, capable of synthesizing entire planets coherently, controllably, and without limits.

If you spend any time on social media, you’ve probably seen them – bears bouncing on trampolines, apes caught on doorbell cameras, or “rescued” wild animals acting in ways that seem too good to be…