One-shotting Minecraft in Three.js with GPT-5-codex (twitter.com)

A recent demo shows GPT-5-codex producing a playable, Minecraft-like voxel world in Three.js from a single prompt — essentially “one-shotting” a complex 3D web app. The generated project reportedly includes a WebGL/Three.js renderer, block-based voxel data, chunking/streaming logic, player controls, basic physics, texture handling and performance optimizations (instanced meshes, frustum culling or greedy meshing-style approaches), plus build scaffolding so the output runs in a browser. The model handled multi-file code, asset references and wiring of input, rendering and game-loop logic in one go, producing a runnable prototype without iterative hand-coding. For the AI/ML community this demo is a practical milestone: it highlights how large code models with long contexts and multi-file synthesis can bootstrap non-trivial interactive applications, cutting prototyping time dramatically and shifting more workload toward review, testing and integration. Technical implications include improved productivity for developers, new tooling opportunities (automated project scaffolding, AI-assisted optimization), and persistent risks—hallucinated APIs, subtle bugs, security or IP issues, and maintenance debt from generated code. The takeaway: generative models are becoming capable builders of full-stack interactive demos, but human verification, testing, and engineering judgment remain essential before using such outputs in production.