Elon Musk: Perception vs Control - What's Harder?
00:00:00.000 | What's harder, perception or control for these problems?
00:00:04.240 | So being able to perfectly perceive everything or figuring out a plan once you perceive everything,
00:00:10.320 | how to interact with all the agents in the environment.
00:00:12.600 | In your sense, from a learning perspective, is perception or action harder in that giant,
00:00:19.600 | beautiful, multi-task learning neural network?
00:00:23.280 | The hardest thing is having accurate representation of the physical objects in vector space.
00:00:28.520 | So taking the visual input, primarily visual input, some sonar and radar, and then creating
00:00:37.020 | an accurate vector space representation of the objects around you.
00:00:43.160 | Once you have an accurate vector space representation, the planning and control is relatively easier.
00:00:48.200 | That is relatively easy.
00:00:50.480 | Basically once you have accurate vector space representation, then you're kind of like a
00:00:56.160 | video game.
00:00:57.160 | Cars in Grand Theft Auto or something, they work pretty well.
00:01:01.240 | They drive down the road, they don't crash, pretty much, unless you crash into them.
00:01:05.680 | That's because they've got an accurate vector space representation of where the cars are,
00:01:09.200 | and then rendering that as the output.
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