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

Ilya Sutskever discusses the transition from scaling-focused AI development to research-driven approaches, explaining why current models generalize poorly compared to humans despite strong benchmark performance. He explores fundamental challenges in model training including the limitations of pre-training, the role of value functions in reinforcement learning, and why AI systems require vastly more data than humans to learn similar tasks. Sutskever outlines Safe Superintelligence's strategy of focusing on research rather than immediate product deployment, emphasizing continual learning and gradual release over attempting to build a fully-formed superintelligence.