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Elon Musk: Teslas will already know where we’re going

In the future, cars will drive us. And probably not surprisingly, they'll often know where to go without us even needing to tell them. That's the theme of a short back-and-forth conversation on Twitter recently between Tesla founder and CEO Elon Musk and a user who tagged him in a comment suggesting that "it would be cool" to be able to tell a car where to go. Responding to user James Harvey, Musk replied, "It won't even need to ask you most of the time." Later, after Harvey asked how the car would know where he wants to go, another user suggested that the car would know what time you go to work. "Yeah, don't exactly need to be Sherlock Holmes," Musk tweeted. It won't even need to ask you most of the time — Elon Musk (@elonmusk) October 21, 2017 Yeah, don't exactly need to be Sherlock Holmes. — Elon Musk (@elonmusk) October 21, 2017 That the ability to know where we're going will be part of our future driving experience shouldn't be surprising. After all, the smartphones we carry around already possess the ability to predict what we want — think Google's cleverness in tailoring search results or providing traffic information just before your commute, Facebook's highly customized News Feed content or even auto-fill technology, which can predict the words you're typing. And plenty of automakers have been touting their own work in developing in-car artificial intelligence systems. Like Audi's Elaine concept, which will be able to learn, think and even empathize with drivers. Or Mitsubishi's e-Evolution concept, which can not only assist your driving, but also assess your skills and teach you how to improve them. Tesla's vehicles, of course, are being outfitted with all the latest autonomous driver-assist technology, with the automaker eager to one day reach full Level 5 self-driving capability. According to Inc., Teslas will be able to listen and respond to directional commands, and they'll even have access to your calendar to comb for information about where you need to go. Tesla has also said it's developing an update to its Autopilot hardware and remains on track to achieve full Level 5 autonomous driving by the end of this year, which strikes a lot of people as wildly unrealistic. At any rate, the promise of cars knowing what time we're sneaking out to get donuts or picking up the kids is interesting, coming from the man who has warned that AI presents "a fundamental risk to the existence of human civilization."Related Video:

Audi R8 V10 Plus takes on Ducati Diavel in straight line

The classic car-versus-motorcycle comparison is put to the test as Autocar pits a 2013 Audi R8 V10 against the Ducati Diavel in a run from 0-150-0 miles per hour. While you might expect the 162-horsepower Ducati weighing just 515 pounds to blow away the 542-horse, 3,500-pound Audi, this particular test measures the acceleration and braking of both high-performance machines.
Drag racing an Audi R8 against a Ducati on a long, flat stretch of concrete sounds fun to us, and Autocar documented the whole test for our viewing pleasure. We don't want to spoil the fun for you, so let's just say that a Volkswagen-owned brand wins. Scroll down to watch the video for yourself.

Audi, MIT, GE start cab ridesharing study in New York City

Audi, Massachusetts Institute of Technology's (MIT) and General Electric are getting together to study something that won't likely be thrilling for New York City cab drivers. But there are bigger fish to fry and keeping cabbies happy. The German automaker is working with MIT's Senseable City Lab and GE on a study designed to get a better handle on how ridesharing in the city's cabs could work and how such a practice could cut both emissions and traffic in the largest US city. The program, dubbed HubCab, will track more than 150 million taxi trips in a year. The broader idea is to figure out how ridesharing could cut trips by 40 percent. That's not likely to please the holders of those coveted NYC taxicab medallions but would certainly benefit the city in other ways. "The aim of HubCab is to spark thinking about ways of utilizing publicly available data as we explore new concepts for mobility, especially in crowded urban contexts," said Audi spokesman Brad Stertz. Stertz allowed that there remained many legal and "customer acceptance" issues to address with ridesharing and that there was no timeframe for concluding the study or when the findings would be put into effect via an actual ridesharing system. At least it's a start. Check out Audi's press release below. MIT, Audi launch HubCab project in New York City • HubCab will track more than 150 million taxi trips in NYC to gain insight on ride share scenarios • Insights will inform researchers on how car sharing systems can lower vehicle emissions, reduce congestion, and save money and time • Scientific study conducted at Massachusetts Institute of Technology's Senseable City Lab with support of VW Group's ERL, Audi and GE MIT, in partnership with Audi and GE, launches HubCab – a transportation tracking tool aimed at reducing commuting congestion, decreasing vehicle emissions and dramatically lowering the cost of mobility infrastructure. HubCab tracks more than 150 million taxi rides in New York City over the course of a year. With this information, researchers can identify commuter travel patterns and work to develop a more efficient car share system. MIT researchers say HubCab technology could not only save people money and time, but allow users to better plan their taxi rides around the city, potentially reducing the number of trips by 40%.