How I use LLMs to learn complex topics · Laurentiu Raducu

Why it matters

Laurentiu Raducu, an engineer who finds the explanatory style of large language models too simplistic to learn from, has developed an alternative workflow that turns AI-generated knowledge into interactive simulations. His process begins by having a model in plan mode build a foundational knowledge base on a chosen topic, then asking it to review that material for accuracy. He then prompts the model to create a low-poly, Rollercoaster Tycoon-style animation with practical interface elements, such as controls to pause the flow and layouts that work on screens of different sizes, before deploying the result through a new repository with GitHub Pages enabled. Raducu applied the method to semiconductor manufacturing after realizing, while studying potential AI bottlenecks in data center expansion, how little he knew about chip production. The result is ChipTycoon, a simulation that follows a cart from the collection of sand through the many manufacturing steps to delivery of a finished chip at a data center. He suggests future refinements, including mapping pictures converted into three-dimensional objects for greater realism and adding quizzes or puzzles to strengthen retention.