Part VII: The Future of Intelligence
What comes next?
Overview
Part VII concludes the book by looking forward. We explore emerging directions, open questions, and the future of AI research—connecting everything we’ve learned to what might come next.
Chapters
| # | Chapter | Key Concept |
|---|---|---|
| 27 | The Future of Intelligence | Emerging directions and open questions |
The Journey So Far
Part I: Foundations → Information theory, complexity
Part II: CNNs → Visual recognition
Part III: RNNs → Sequential processing
Part IV: Attention → The transformer revolution
Part V: Advanced → Specialized architectures
Part VI: Scaling → Training at massive scale
Part VII: Future → What's next?
Key Takeaway
The future of AI lies in combining the principles we’ve learned—from information theory to scaling laws—to build systems that are more capable, efficient, and aligned with human values.
Prerequisites
- All previous parts (this is the conclusion!)
- Curiosity about the future of AI
- Interest in open research questions
What You’ll Explore in Part VII
- Emerging research directions
- Open questions and challenges
- Connections between all parts
- Speculation on the future of intelligence