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What I Cannot Create, I Do Not Understand

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Manage episode 467984392 series 3610932
Content provided by Pragmatic AI Labs and Noah Gift. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pragmatic AI Labs and Noah Gift or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

🔥 Hot Course Offers:

🚀 Level Up Your Career:

Learn end-to-end ML engineering from industry veterans at PAIML.COM

  continue reading

221 episodes

Artwork
iconShare
 
Manage episode 467984392 series 3610932
Content provided by Pragmatic AI Labs and Noah Gift. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pragmatic AI Labs and Noah Gift or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

🔥 Hot Course Offers:

🚀 Level Up Your Career:

Learn end-to-end ML engineering from industry veterans at PAIML.COM

  continue reading

221 episodes

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