Part 10/20:
- Environmental Interactions and Reinforcement Learning: The future may involve training AI systems directly in real-world environments, closing the loop with physical testing and feedback. Such approaches could drastically accelerate progress, turning models into embodied agents capable of complex tasks like assembly, repair, or exploration.
The Geopolitical Chessboard: Power, Talent, and Supply Chains
A significant thread weaves through the geopolitical implications of AI development.