patience

**Patience** AI mastery requires strategic patience and long-term thinking. **Compound learning**: Each concept builds on previous knowledge - fundamentals in linear algebra, calculus, and probability compound into deep understanding of architectures/algorithms. **Iteration cycles**: Research → implement → fail → analyze → improve. Most breakthroughs require hundreds of experiments. FastAI's "1 cycle" training took extensive iteration to develop. **Playing long game**: Build foundational skills rather than chasing trends, develop intuition through deliberate practice, create reusable components (personal libraries, templates), document learnings for future self. **Progress metrics**: Track weekly learnings, monthly project completions, yearly capability growth. **Avoiding pitfalls**: Don't compare to highlight reels, recognize survivorship bias in success stories, understand that even top researchers face rejections and failures. The 10-year overnight success is real - most respected AI practitioners spent years building expertise before recognition.