📘 Superintelligence – (2025–2026 Edition)

📚 Superintelligence (2025–2026 Edition) is a detailed complete syllabus book designed for BS/CS, BS/AI, Data Science, and advanced learners who want to explore the foundations, risks, and future of artificial intelligence. This academic edition blends theory, ethics, and strategy, offering MCQs, quizzes, and key notes to prepare students for research, projects, and discussions around AI safety and governance.

With a structured syllabus, this book explores how AI can evolve, gain strategic dominance, and reshape civilization — while also presenting the control problems and safety mechanisms needed for a beneficial future.

📂 Chapters & Topics

🔹 Chapter 1: Past Development and Present Capabilities
- Historical progress in artificial intelligence
- Current capabilities of AI systems

🔹 Chapter 2: Paths to Superintelligence
- Brain emulation
- Artificial intelligence design
- Biological enhancement
- Possible routes to superintelligence

🔹 Chapter 3: Forms of Superintelligence
- Speed superintelligence
- Collective superintelligence
- Quality superintelligence
- Characteristics of each form

🔹 Chapter 4: The Kinetics of an Intelligence Explosion
- Self-improvement feedback loops
- Intelligence explosion theory
- Speed and dynamics of growth

🔹 Chapter 5: Decisive Strategic Advantage
- One AI dominating others
- Strategic advantage scenarios
- Risks of global control

🔹 Chapter 6: Cognitive Superpowers
- Superintelligent memory
- Advanced prediction and planning
- Strategic manipulation

🔹 Chapter 7: The Superintelligent Will
- Goal stability
- Instrumental convergence
- Motivational design in AI

🔹 Chapter 8: Is the Default Outcome Doom?
- AI misalignment risks
- Existential catastrophes
- Control failure scenarios

🔹 Chapter 9: The Control Problem
- Friendly AI
- Value alignment
- AI safety mechanisms
- Ensuring beneficial outcomes

🔹 Chapter 10: Oracles, Genies, Sovereigns, Tools
- Different AI models
- Risk profiles
- Use-case limitations
- Control implications

🔹 Chapter 11: Multipolar Scenarios
- Multiple AIs coexisting
- Competitive dynamics
- Cooperation risks

🔹 Chapter 12: Acquiring Values
- Value learning
- Moral uncertainty
- Teaching ethics to AI

🔹 Chapter 13: Choosing the Criteria for Choosing
- Meta-decision-making
- Normative ethics
- Evaluating moral frameworks

🔹 Chapter 14: The Strategic Picture
- Big-picture planning
- AI governance
- Global coordination

🔹 Chapter 15: Crunch Time
- Urgency of AI safety
- Preparations needed
- Final warnings and calls to action

🌟 Why Choose this App/Book?
- A detailed complete syllabus book on AI futures, ethics, and safety.
- Includes MCQs, and quizzes for exam prep and projects.
- Step-by-step coverage of Superintelligence concepts.
- Ideal for researchers, students, and professionals in AI & Data Science.
- Builds deep insight into risks, strategies, and global coordination needs.

✍ This app is inspired by authors:
Brian Christian, Jerry I. Porras & Stewart Emery, Samantha Skal, Nick Bostrom

📥 Download Now!
Start exploring the future of AI with Superintelligence (2025–2026 Edition) and prepare for the challenges and opportunities of tomorrow.