GoKawiilHow I use LLMs to learn complex topics LLMs are used for any things. Learning new things is one of the top use cases.
Many engineers I know use generative AI for many functions, like building PoCs, internal tools or dashboards, or even learning new stuff. I personally find the style used by LLMs to explain things difficult to follow. It's just too simplistic and depending on the number of emojis used, a bit annoying too.
While I was analyzing new AI bottlenecks that might slow down data center buildup, I realized there are many aspects of chip production that I do not know. Surfing the web, I asked myself what if there would be a game to get you through the process of building a chip at a fab? For sure learning this way will stick, since you can map concepts with objects within the game. This is when I decided to try it, and it actually turned out really well.
The flow
Instead of just asking AI to explain a topic, I use the following flow:
In plan mode (using CC, or OpenCode) I ask a model to build the foundational knowledge for X topic.
I ask it to review the accuracy of the knowledge base it built in the previous step.
I proceed asking it to build a simulation of that topic in a low-poly, Rollercoaster Tycoon-like animation. I add some UX elements as well, like the page needs to be visible on both large and small screens, have controls to stop the flow whenever I want etc.
I then push it to a new repo and enable GitHub Pages for it.
The result
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