Learning How to Learn AI
```text ACCELERATED MASTERY FRAMEWORK:
1. PATTERN EXTRACTION From each new model/feature: - What's the core pattern? - How does it connect? - What transfers over? - What's truly new?
2. RAPID TESTING Systematic exploration: - Basic capabilities (1 hour) - Advanced features (2 hours) - Edge cases (1 hour) - Integration potential (2 hours)
3. KNOWLEDGE SYNTHESIS Connect to existing: - Similar patterns - Complementary tools - Workflow integration - Skill expansion
4. TEACHING TEST True understanding: - Explain to beginner - Create simple examples - Build tutorials - Answer questions
5. PRODUCTION APPLICATION Real-world validation: - Solve actual problems - Measure improvements - Iterate approaches - Document learnings
MASTERY METRICS: - Time to proficiency - Application creativity - Teaching ability - Innovation rate ```text