For self-driving-car developers, like many iPhone and Google Photos users, the growing cost of storing files on the cloud has become a nagging headache.
Early on, robocar companies pursued a brute-force approach to maximize miles and data. “We could take all the data the cars have seen over time, the hundreds of thousands of pedestrians, cyclists, and vehicles, [and] take from that a model of how we expect them to move,” said Chris Urmson, an early leader of Google’s self-driving project, in a 2015 TED Talk.
Urmson spoke at a time when autonomous vehicle prototypes were relatively few and the handful of companies testing them could afford to keep almost every data point they scooped
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