Dave uses Copilot with Claude Sonnet 4.0 to tweak and update a Deep Q reinforcement learning system.

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A developer demonstrates live coding of an AI system that learns to play the classic arcade game Tempest through reinforcement learning. The project involves running multiple game instances on a 96-core machine, extracting game state data from memory, and iteratively refining reward functions to improve AI performance. The AI currently reaches level 33 but struggles with faster yellow levels, prompting adjustments to encourage more cautious gameplay behavior.

Vibe Coding 101: Writing an AI with AI