Resolution Criteria

This market resolves YES if rudyon uploads a GitHub repository containing a complete implementation of Andrej Karpathy's micrograd tutorial/video by March 9, 2026 (one week from today). The repository must include:

• A working implementation of the core autograd engine

• All code examples from the video tutorial

• A README or documentation indicating it's based on Karpathy's Micrograd

Resolution is based on the existence and timestamp of the GitHub repository. If no such repository is created or uploaded by the deadline, the market resolves NO.

Background

Micrograd is a minimal autograd engine created by Andrej Karpathy that demonstrates the fundamentals of automatic differentiation and neural networks. It's commonly used as an educational tool to understand how backpropagation works at a low level. Karpathy has published video tutorials walking through the implementation.

Considerations

This market depends on rudyon's personal completion of a coding project within a specific timeframe. The resolution requires verification that the uploaded code is functional and complete, which may require some subjective judgment about what constitutes a "complete" implementation. Consider whether minor deviations from Karpathy's exact approach would still count as meeting the criteria.

This description was generated by AI.