Feynman's Wisdom Applied to AI Learning
Background
- Feynman helped create atomic bomb and investigated Challenger disaster
- Challenger investigation revealed bureaucracy prioritized power over engineering solutions
- Two key phrases found on his blackboard at death:
- "What I cannot create, I do not understand"
- "Know how to solve every problem that has been solved"
Applied to Pragmatic AI Labs Courses
What I Cannot Create
- Build token processor before using Bedrock
- Implement basic embeddings before production models
- Write minimal GPU kernels before CUDA libraries
- Create raw model inference before frameworks
- Deploy manual servers before cloud services
Learning Solved Problems
- Study successful AI architectures
- Reimplement ML papers
- Analyze deployment patterns
- Master optimization techniques
- Learn security boundaries
Implementation Strategy
- Build core concepts from scratch
- Move to frameworks only after raw implementation
- Break systems intentionally to understand them
- Build instead of memorize
- Ex: Build S3 bucket/Lambda vs. memorizing for certification
Platform Support
- Interactive labs available
- Source code starter kits
- Multiple languages: Python, Rust, SQL, Bash, Zig
- Focus on first principles
- Community-driven learning approach
Key Takeaway
Focus on understanding through creation, leveraging proven solutions as foundation for innovation.
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