Google DeepMind advisor on AI continual learning, AGI, and wildest AI predictions
AI Summary
This video is a deep discussion on the future of artificial intelligence, focusing on the concepts of Artificial General Intelligence (AGI), lifelong learning in AI systems, and the implications for society and global politics. The speaker explains the challenge of continual learning in AI, the problem of catastrophic forgetting, and contrasts it with humans’ gradual forgetting processes. It covers how current AI models learn in versions rather than continually, and the limitations thereof. The discussion includes the potential rapid development from AGI to Artificial Super Intelligence (ASI) and the geopolitical ramifications of which organization or country first controls such technology. The speaker emphasizes the need for ethical alignment and safety in developing AI that can learn and improve continuously. The video also touches on the difficulty of forecasting timelines for AGI, possible nationalization of superintelligent AI, and scenarios for the future with competing ASIs or a monopoly ASI. The analogy of witnessing aliens approaching Earth is used to describe the current state of AI development and how society is largely unprepared for the transformation ahead. Finally, the importance of preparing the next generation for this future and the ethical challenges in AI research are also discussed.