Ilya Sutskever – We're moving from the age of scaling to the age of research

In this interview, Ilya Sutskever discusses the current state and future directions of AI research, particularly focusing on the limitations of current models in generalization and the potential for new approaches to achieve human-like learning. He touches on the role of pre-training, reinforcement learning, and the importance of value functions and emotions in AI development. Sutskever also shares his thoughts on the potential for AI to transform the economy and society, as well as the safety considerations that need to be addressed as AI becomes more powerful. He emphasizes the need for a convergence of strategies among AI companies and the importance of focusing on building AI that cares for sentient life.