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Episode 22: Archit Sharma, Stanford, on unsupervised and autonomous reinforcement learning

Generally Intelligent

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General Intelligence and Physical Tasks

The paradox lies in the fact that tasks humans find easy, like walking reliably, are incredibly challenging for robots. Humans take for granted simple physical tasks, while machines excel at structured and low-dimensional tasks like natural language generation. This disparity highlights the difficulty in translating human abilities to machines due to the high-dimensional and continuous nature of the real world. Computers excel in structured tasks, but struggle with real-world complexity, raising concerns about the limitations of general intelligence in handling physical tasks.

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