1967 Ford Fairlane 500 Convertible 289 Automatic on 2040-cars

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Tier 1 suppliers call GM the worst OEM to work with

Among automakers with a big US presence, General Motors is the worst to work for, according to a new survey from Tier 1 automotive suppliers, conducted by Planning Perspectives, Inc.
The Detroit-based manufacturer, which has been under fire following the ignition switch recall and its accompanying scandal, finished behind six other automakers with big US manufacturing operations. Suppliers had issues with trust and communications, as well as intellectual property protection. GM was also the least likely to allow suppliers to raise their prices in the face of unexpected increases in material cost, all of which contributed to 55 percent of suppliers saying their relationship with GM was "poor to very poor."
GM's cross-town competitors didn't fare much better. Chrysler finished in fifth place, ahead of GM and behind Dearborn-based Ford, which was passed for third place this year by Nissan. Toyota took the top marks, while Honda captured second place.

Old vs. new debate gets new life with $25,000 Fiesta ST vs. E46 M3 showdown

You know who you are. There's probably a few of you reading; the ones that say, "Why would I spend $27,000 on a new Mazda MX-5 when I could get a used Chevrolet Corvette with more power." Yes, we're talking to you, used car proponents. While it is a fair argument, it's not like used cars don't come with drawbacks of their own, though.
In an attempt to put this new-versus-used argument to bed once and for all, Matt Farah of the The Smoking Tire has picked up a pair of $25,000 cars - a used, but lightly modified, 2003 BMW M3 and a 2013 Ford Fiesta ST. Naturally, there's a comparison.
Farah, as he's wont to do, does get into the nitty gritty of what each car is like to drive, and discusses the merits of used and new-car shopping. But as he rightly points out while testing the M3, "So, it is a good car. But like any used car, it really does depend on the individual car."

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.