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References

Chapter 1 - Making sense of AI

Reality

Randomness

Fooled by AI

Vibe Coding

AI Input

Mirror on Steroids

Jailbreaking

AI Scams and Failures

AI and Jobs

AI Theory and Criticism

Research Papers

Chapter 4 - Agents

Coding Agents and Tools

MCP and Agent Architecture

MCP Security

Context and Documentation

Agent Patterns

Benchmarks

Chapter 2 - Machine Learning Basics

Machine Learning Fundamentals

Reinforcement Learning

Chapter 3 - Generative AI

LLM Models and Documentation

Transformers and Architecture

Vector Databases

Sound and Audio Generation

Image Generation

Fine-Tuning Research

Video Generation

Chapter 5 - Claude Code

Claude Code Documentation

Development Tools

Chapter 6 - Testing with AI

Testing Frameworks and Tools

Testing Blog Posts

API Documentation and Stress Testing

Chapter 7 - Migrations with AI

No additional external references.

Chapter 8 - Non-Obvious Use Cases

Ownership and Team Management

Chapter 9 - Learning from AI

AI Hallucination Research

Author’s Published Works

Author’s Technical Resources

Author’s Online Presence

Author’s GitHub Gist Repositories (Tiny Essays)

Author’s GitHub Repositories (Side Projects)

Social Media & Community Resources