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Matt Webb Uses ChatGPT to Learn Quaternions for AR App

Developer Matt Webb used ChatGPT as an interactive tutor to master quaternions for his Galactic Compass 2 app, highlighting how AI can drive human learning rather than just replacing code.

Simon Willison1 day agoCulture
Illustration generated for this story

Independent developer Matt Webb recently leveraged OpenAI's ChatGPT to overcome a complex mathematical hurdle while building the new augmented reality mode for his application, Galactic Compass 2. Instead of relying on the artificial intelligence model to write the software code directly, Webb utilized the conversational agent as a highly interactive, patient guide to understand the underlying mathematics of 3D rotations.

The specific challenge involved quaternions, a complex number system used in spatial computing to calculate three-dimensional rotations without encountering gimbal lock. Webb noted that traditional educational resources, including textbooks and consultations with mathematician friends, had previously failed to help him grasp the concept. By engaging in a back-and-forth dialogue with the AI, Webb acquired enough functional knowledge of quaternions to successfully implement the math required for his application's version 2.0 release.

This use case highlights a significant shift in how software engineers interact with generative AI tools. While much of the industry focus remains on automated code generation and outsourcing cognitive tasks, Webb's experience demonstrates the value of AI as an educational accelerator. He observed that outsourcing certain elements of thinking actually pushed him to expand his own knowledge base, creating a symbiotic relationship where the developer remains the primary author of the system's conceptual integrity.

For software practitioners, this approach suggests that the most profound impact of large language models may not be the elimination of programming tasks, but the democratization of advanced technical concepts. By acting as personalized, on-demand educators, AI models can help developers bridge critical knowledge gaps on the fly. This allows creators to tackle sophisticated features, such as augmented reality spatial tracking, that might have otherwise been discarded due to steep learning curves.

This is our own summary of reporting by Simon Willison

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