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Dwarkesh and Ilya Sutskever on What Comes After Scaling
Duration: 01:32:09
December 15, 2025
- The era of simply scaling up AI models by adding more compute and data is over, shifting the focus to fundamental research and efficient infrastructure.
- Current AI models exhibit poor generalization capabilities compared to humans, highlighting a critical research gap in understanding and replicating true human-like learning.
- The future of AI development is moving towards continual learning and value functions, requiring new infrastructure to enable AI systems to learn and accumulate expertise safely over time.



