Summary
An experiment demonstrated a tiny 0.8B Qwen 3.5 AI model successfully teaching itself coding on a MacBook Air with only 6GB RAM. The model improved by iteratively solving problems and receiving detailed feedback on its failures, including specific inputs and expected outputs. This highlights surprising self-improvement capabilities for small models running on constrained local hardware.
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