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Man chases down truck thief and steams it all on Facebook

A Washington man chased down a truck stolen from his family's dealership last Saturday and livestreamed the event on Facebook. According to KOMO, a 2005 Ford F-250 was stolen from Sunrise Auto Sales in Eatonville, Washington on the morning of October 8. Aaron Babcock, who co-owns the small dealership with his father David, told reporters that after reviewing surveillance footage, he later spotted the truck while riding his motorcycle on Webster Road East. "I watched my cameras and found the video of a man lurking around and ending up taking off with my truck," Babcock told KOMO. "Cops came and made a case. Three hours later I was on my motorcycle in Graham, and they drove by me oncoming. It still had dealer stickers on it. It said diesel on the window and it had our dealer plate on it. It stuck out like a sore thumb. It was really easy to see." Once he spotted the stolen Super Duty, he wheeled his bike around and gave chase. He attempted to call 911, but was unsure if the dispatcher heard him due to noise from the wind and the bike's engine. So he fired up Facebook live and started streaming his chase, giving running commentary and updating his location as he chased the slow-moving truck. "I wasn't going to let him get away. I was going to try follow him down. I had no idea what to do," Babcock said. "Nobody could hear me on the phone so I just figured the first thing to do is pull up Facebook live." Babcock's Facebook friends pitched in by calling 911 to report the chase and even jumping in their own cars to follow the truck. At one point, he pulled alongside the truck and recognized both men in the cab. The driver was the man seen lurking around the dealer lot in the surveillance video, and the passenger was an old friend of Babcock's. "I know who you are!" he shouted at them, but the hunkered down and kept driving. Eventually, Babcock lost cell phone signal and the livestream ended. Eatonville police, who by this point were well aware of the incident, caught up with the truck in the 8400 block of 356th Street South in Eatonville. The driver was arrested and the passenger was questioned and released. Both denied stealing the vehicle or knowing it was stolen. Two sets of keys from Sunrise Auto Sales and a stolen credit card were also recovered from the truck. Related Video

BMW V8-powered Ford Model A is the definition of Hot Rod

Today, hotrodding has a pretty staid definition. Take one classic American car, add one classic American V8, sprinkle with tire smoke and you pretty much have every hot rod to roll out of a shop in the last 40 years. Mike Borroughs knows it wasn't always this way. Once upon a time, getting your bucket to go faster meant grabbing whatever parts were lazing about the yard, bolting them together with a bit of ingenuity and laughing your way down the quarter mile. It's in that spirit that Burroughs built his 1928 Ford Model A.
Rather than turn to the tired flathead or the common Chevrolet small block, Burroughs plucked a 4.0-liter V8 from a 1995 BMW 7 Series. With 300 horsepower and 300 pound-feet of torque, the engine has no trouble shuffling the old A around town. He had to build a custom chassis to get everything to cooperate, but the result is a 1,500-pound heathen that looks built to harass dry lake beds. You can check it out in the video below. Be warned, the soundtrack by Hanni el Khatib may not be safe for work - awesomeness of this caliber rarely is.

Ford partnering with MIT, Stanford on autonomous vehicle research

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.