VanDevender: Smaller datasets force self-driving car companies to build better algorithms
Aaron VanDevender · 20VC: Founders Fund's Chief Scientist on Why AI Is Mostly A Scam, Why The Value of Large Datasets Is Mostly Overplayed & The Societal Effects of 4m Truck Drivers Being Unemployed with Aaron Vandevender · Oct 16, 2017 · at 14:39
Aaron VanDevender, Chief Scientist at Founders Fund, explains why Google's extensive Street View dataset does not grant an insurmountable moat in autonomous vehicle development.
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“Even if you have a much, much smaller data set than Google, you can still do a really good job of developing a self-driving car, and in fact, it almost forces you into a better position, because if you have complete knowledge of the entire street grid, you can succumb to the temptation of programming in individual use cases where your agent would come to something that's ambiguous, and you can just hard code in the right answer, whereas if you only have access to a small amount, you are You're forced to make your algorithms more robust, and so you end up with a better result because they have to deal with that ambiguity directly.”
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