DeepMind

In a candid season finale of the Google DeepMind podcast, Demis Hassabis outlines why language models aren't enough for robotics and how the synergy between world-generators like Genie and agents like SIMA will bridge the gap to physical AI.

In a new behind-the-scenes look at the DeepMind robotics lab, leadership showcases "thinking" robots and long-horizon planning, but admits that data efficiency remains a critical hurdle before the technology is ready for the real world.