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It was bad enough that my work was restricted and couldn’t be promoted. But now there’s a feature that allows anyone to freely modify my work—what is that supposed to mean?? Being restricted, pushed to the margins, blocked, forgotten by people… and now my work can even be maliciously distorted directly. Okay… so what am I supposed to do now? All I wanted was a place where I could promote my own work.

GPT-5.6 NEVER TOUCHED A SINGLE SLIDER TO LIGHT THIS. IT WROTE THE SHADER IN PYTHON. a scarred chrome coupe falling past a light source in deep space, filaments of white burning through the dark behind it. MCP gives the model a socket into Blender. it writes bpy directly: → the metal shader, roughness and scratches, as code → the emission and volumetrics, as code → camera roll, exposure, the fall into black, as code and the car is the easy half. anyone can drop a car model in a scene. what kills people is the light: getting brushed metal to catch a highlight so it reads as heavy and cold instead of plastic. that's the part that used to be a node graph you'd stare at for a weekend. it just got typed. it still builds blind. it can't see whether the highlight is crushing the body panel until you screenshot it and tell it. the software stopped being the skill. describing the frame is the skill.

GPT-5.6 is beating Claude Fable 5 with this collab… I asked GPT-5.6 Sol in Cursor to set up Blender MCP, create a realistic floating MacBook, and render the final scene. I'd never opened Blender before that day. Then I pushed things further. I built a workflow where Three.js and Blender round-trip assets at real-world scale. Starting with a Box3D physics system originally built in Three.js with Fable 5, Codex handled the pipeline: • Verified dimensions in Three.js • Generated a Blender model at matching scale • Exported it as a GLB • Re-imported it into Three.js • Validated that the visuals still matched the collision system The results were surprisingly accurate. The biggest takeaway wasn't the modeling. It was the pipeline. Controlling Blender through MCP is one thing. Preserving coordinates, origins, orientation, scale, and dimensions across multiple tools is a much harder engineering problem. I found GPT-5.6 Sol performed best when dealing with architecture, ambiguous requirements, coordinate systems, and final validation. GPT-5.6 Terra excelled once the work became deterministic, with clear numerical specifications and stable documentation. The lesson isn't simply that one model is expensive and another is cheap. It's that the more you separate uncertain reasoning from deterministic execution, the more effectively you can delegate work to smaller, faster models. AI-assisted development is evolving beyond generating isolated demos. It's becoming capable of coordinating complete production pipelines across Three.js, Blender, physics, assets, validation, and documentation, while the human stays focused on architecture and final judgment.