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People said the same thing about Microsoft. As it turns out, going from sensors to working self-driving car is a pretty difficult task, and Uber has some of th
by nmrm2 11y ago
People said the same thing about Microsoft.
As it turns out, going from sensors to working self-driving car is a pretty difficult task, and Uber has some of the best self-driving researchers in the world working for them.
- toomuchtodo 11y agoRight, but Tesla has vehicles on the road, now, with a high level of autonomy (driving across the country autonomously 96 percent of the time: http://jalopnik.com/we-set-a-cross-country-record-in-a-telsa-that-drove-its-1739410767 http://jalopnik.com/we-set-a-cross-country-record-in-a-telsa...) that are gathering massive amounts of data (40 million/miles/month) from vehicle owners as they drive. Its an uphill climb for Uber. They will need to fund their vehicles; Tesla funds their battery manufacturing, vehicle manufacturing, and autopilot telemetry corpus buildouts using the vehicles owners have paid for.
- nmrm2 11y ago1. I was responding to your Mercedes/Uber scenario; the comment I was replying to literally didn't mention Tesla (which fits more aptly to Apple's position in the desktop computing analogy). 2. Interstate driving autonomy and city driving autonomy are different beasts. Gathering a ton of data about task X isn't necessarily helpful for task Y; ML isn't magical. If anyone, Google is ahead of the pack in the market Uber is vying for (automated taxis).