1 Introduction 2 Understanding and Perceiving AI 2.1. A Few Brushstrokes of History Information Classification: General o 2.1.1. The Early Turning Points o 2.1.2.

The Modern Turning Points o 2.1.3. The AI's Turn: the Great Hope 2.2. The Relevance of Ethical Perspectives in AI o 2.2.1.

Challenges in Translating Ethical Perspectives to AI o 2.2.2. Reconciliation between Ethical Perspectives o 2.2.3. Unpacking the Ethical Perspectives of the EU AI Act 3 From AI Today to the Challenges of TAI (page 26) 3.1.

The Omnipresence of AI Today o 3.1.1. A Time in the Shadows o 3.1.2. AI Until Now o 3.1.

3. The AI Role in Our Civilization 3.2. Human Potholes in the Road to TAI o 3.2.1. Cognitive and Data Biases o 3.2.

2. The Information Overload o 3.2.3. Misalignment and The Enforcement of Human Oversight o 3.2.4. Risk Aversion and Inertia o 3.

2.5. Overreliance on Human Expertise o 3.2.6. The Perception of Futility of AI Ethics o 3.2.7.

Socio-Technical Disparities and Digital Divide o 3.2.8. The Loss of Trust and Resistance o 3.2.9. Diluted AI o 3.2.

10. Overregulation o 3.2.11. Human Obsolescence o 3.2.12. The AI-tocracy 3.

3. Technical Potholes in the Road to TAI o 3.3.1. The Capacity to Detect New Emerging Abilities o 3.3.2. The Data Paradox o 3.

3.3. World Modeling o 3.3.4. Sustainability, Physical Constraints, and Alternatives o 3.3.5.

A Stronghold for a Few o 3.3.6. The Duality of Theoretical Foundations of Computation and AI 4 Opportunities and Perspectives (page 65) 4.1. Opportunities to Facilitate TAI o 4.1.1.

Some Technical Green Shoots o 4.1.2. Some Non-Technical Green Shoots 4.2. A Great Hope for TAI: the "Science Explosion" 4.3. Would We Need a New Ethical and Philosophical Perspective for TAI? 5 Reflections and Conclusions (page 76) 5.

1. Discussion and Open Thoughts from the Community 5.2. Conclusion.