Understanding AI: learning, reasoning and limits
Explore how to frame questions about AI learning, reasoning and intelligence, with reading guides, manuscript samples and clear limits on claims.
Start with a question
- Books about how AI thinks: match the book to your goal
- How to evaluate AI reasoning for your own task
- How to verify AI output before you rely on it
- Human and AI intelligence: what should you compare?
- Human vs machine learning: a reader’s guide
- Symbolic vs neural AI: choosing what to read
- What is human-in-the-loop AI, and when is it theater?
- What to delegate to AI, and what to keep for yourself
Read the source books
- How AI Learns — A narrative comparison of learning through human experience and learning through model training.
- Symbols and Neurons — A narrative introduction to the competing ambitions of symbolic and neural AI.
- The Power of Slow Thinking — Reflection exercises for a more deliberate relationship with AI-assisted work.
- The Reasoning Machine — A three-lens framework for asking better questions about AI reasoning.
- Your Brain and AI — Explore memory, embodiment and responsibility in a conceptual comparison of human and machine intelligence.