How I use LLMs to learn complex topics

Engineers often utilize generative AI for various tasks, including creating prototypes, developing internal tools, and learning new subjects. However, the approach LLMs take when explaining topics can be too simplistic and occasionally frustrating, especially with the excessive use of emojis. While researching AI bottlenecks that could impede data center development, I discovered a significant gap in my knowledge of chip production.

To address this, I pondered the idea of creating a game that would guide users through the process of building a chip at a fab, which would help solidify the understanding of complex concepts through object mapping. This led me to experiment with a novel method of learning, which proved to be highly effective.

Rather than merely requesting AI to provide explanations, I adopted a specific workflow for acquiring knowledge: visually engaging animations that are 100% accurate and free from inaccuracies or 'hallucinations' have been invaluable in this process. I have compiled this approach into a website called ChipTycoon, where players can follow the journey of a cart from the collection of raw materials like sand, through the various stages of chip manufacturing until the final delivery to a data center.

Although the low-poly graphics may lack intricate details, they effectively illustrate the progression of the product through the manufacturing process.

For readers who desire a more realistic depiction of the quartz sand pile as it transforms after exiting the furnace, I offer an additional tool that converts images into 3D objects and integrates these designs into simulations. This enhancement provides a more accurate representation of the chip manufacturing process. Furthermore, incorporating interactive challenges and intuitive puzzles within the simulation environment strengthens knowledge retention and facilitates better learning outcomes.

After receiving feedback on a Hacker News post, I decided to develop a Skill.MD file to create captivating animations for learning intricate subjects.