Demis Hassabis on Self-Learning AI: What Comes After Today’s Models

Demis Hassabis of Google DeepMind discusses the future of AI, focusing on the transition from pattern-matching to reasoning and planning systems. He highlights the importance of continual learning, long-term planning, and true creativity as key areas for advancement. Hassabis addresses the challenges and risks associated with recursive self-learning models, particularly in transferring techniques from game environments like AlphaGo to real-world applications. The conversation explores the potential impact of advertising on AI assistants, balancing the need for accessibility with maintaining user trust. He also touches on the competitive pressures in the AI industry and the necessity for prioritizing safety and responsible development.