Greg Brockman· @gdb · X·· 2026-08-02AI 评分42
AI 导读
开发者用 GPT 5.6 Sol 和 Codex 构建了 3D 人体解剖教学应用,将每个 3D 模型从 120-150 MB 优化至 2-5.5 MB,总资源从约 900 MB 降至 28.6 MB,帧率从 16fps 提升至流畅水平。应用支持按需加载,并自动生成解剖插图和交互热点标记。
正文 · 原文
chatgpt for building interactive educational tools
Only if education could be this interactive ❤️🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: https://anatomy-livid.vercel.app/ Code: https://github.com/thebuggeddev/anatomy在 X 查看被引用的帖子
来源:Greg Brockman · x.com