
Episode 28: Sergey Levine, UC Berkeley, on the bottlenecks to generalization in reinforcement learning, why simulation is doomed to succeed, and how to pick good research problems
Generally Intelligent
Robotics Research - Language Models Hit Walls
In recent robotics research, we've seen a lot of really excellent innovations from people where they use visual or busy motor models. But I do think that purely language-based systems by themselves have a major limitation in terms of the inability to ground out things into lowest level of perception and action. The thing that we're the gap between human capability and machine capabilities largest is exactly the thing that we are not going to express in length.
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