Amazing Digital Dentures (a failed project)
Original reporting by Hugging Face

A whimsical animated series about a virtual circus run by an AI-powered pair of dentures has sparked an unusual project: an "over-engineered to-do list disguised as a game." The goal was to create a digital companion that generates daily adventures, subtly boosting real-world productivity.
The unexpected pivot
However, the ambitious vision quickly evolved. The creator, inspired by the show's AI ringmaster, shifted focus entirely to the "creates adventure part," aiming for a full-fledged game generator using tools like Three.js and the Nemotron 30B model. Initial attempts with long prompts and "skill cards" proved frustrating, often yielding non-functional games or blowing past context windows. Even after distilling skills with Codex and implementing Retrieval Augmented Generation (RAG), the model struggled to produce consistently working games. The project ultimately pivoted to a simpler "HTML toymaker," capable of generating basic web elements like clocks and simple games such as Snake and Breakout, but not the complex interactive adventures originally envisioned. The creator is now seeking new directions for this intriguing concept.
The ambitious "Amazing Digital Pet Dentures" project, inspired by the animated show of a similar name, initially sought to leverage advanced AI models like Nemotron 30B to generate complex Three.js games. The vision was a digital companion capable of crafting elaborate, interactive adventures. However, the developer encountered significant technical hurdles. Initial attempts with long prompts and specialized "skill cards" proved largely unsuccessful, often resulting in non-functional code or blowing context windows. Even implementing Retrieval Augmented Generation (RAG) to distill skills didn't lead to fully working games, frequently culminating in blank screens. This necessitated a pragmatic pivot: the project scaled back to a simpler "HTML toymaker," capable of generating basic HTML elements and rudimentary games like Snake or Breakout, but unable to tackle more complex logic such as Tetris. The current iteration serves as a testament to the challenges of pushing current large language models beyond their inherent limitations for robust, multi-component code generation.