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Submission + - NYC Threatens To Sue Verizon Over FiOS Shortfalls (

An anonymous reader writes: New York City officials yesterday notified Verizon that the company is in default of an agreement to bring fiber connections to all households in the city and could file a lawsuit against the company. The road to a potential lawsuit has been a long one. In June 2015, New York released an audit that found Verizon failed to meet a commitment to extend FiOS to every household in the five boroughs by June 2014. City officials and Verizon have been trying to resolve the matter since then with no success, as Verizon says that it hasn't actually broken the agreement. The default letter (full text) sent yesterday by the city Department of Information Technology & Telecommunications (DoITT) says Verizon has failed to pass all residential buildings in the city with fiber. As of October 2015, there were at least 38,551 addresses where Verizon hadn't fulfilled installation service requests that were more than a year old, the letter said. "Moreover, Verizon improperly reduced, from $50 million to $15 million, the performance bond required [by] the Agreement on the basis of Verizon's incorrect representations that Verizon had met the prescribed deployment schedule, when in fact it had not," the letter said. City officials demanded that Verizon restore the bond and wants a response within 30 days. The default letter also accuses Verizon of failing to make records related to its provision of cable service available to the city during its audit. "Officials say they could sue Verizon unless the carrier shows clear plans for stepping up installations," and that the notice is the first step in that process, The Wall Street Journal reported. The citywide fiber agreement lets NYC seek monetary damages from Verizon if it fails to deliver on the fiber promises.

Submission + - GM Recalls 3.6 Million Cars Due To Potentially Fatal Software Defect (

An anonymous reader writes: General Motors has announced that the owners of some 3.64 million of its vehicles will have to come in for a re-flash of their sensing and diagnostic module (SDM) software. Apparently, a software bug tied to the diagnostic “oscillation test” routine in the SDM software makes it so that frontal airbags and seat belt pretensioners will not deploy “in certain rare circumstances when a crash is preceded by a specific event impacting vehicle dynamics.” They did not explain what these “rare circumstances” are, but noted that the failure to deploy of this security feature could result in increased risk of injury to the driver and front passenger.

Comment Re:Haha America (Score 1) 194

Something being the best on technical grounds is not what wins in the OS market. Microsoft has proven that barely good enough is just fine. It is the other parts of the bussiness that engineers usually don't pay as much attention to that lead to wins, and that is why we never understand why sucky stuff wins.

Comment Re:When you run out of ideas.... (Score 1) 226

I have no complaints with slamming the logo changes, however there is often a different reason for a "Greatest Hits" album.

If a band ditches one record company for another, the old record company will often throw together a "Greatest Hits" album with the stuff they have the rights to publish. This lets them squeeze a bit more money out, while simultanously sending the message that it's time to look to other bands for new hits.

Comment Re:Who gives a fuck? (Score 4, Informative) 134

A lot of researchers are using GPUs for things very different than graphics. A professor was telling me just last week that the boundary between a machine learning training algorithm being interesting was to train to deal with a problem in a week or less [note one trained it does its job much faster, that's just the get-it-ready-to-go time], and that GPUs were often used for that training. The bit width requirements are modest, but the amount of data to process is huge.
Of course, he went on to show how the approaches his students had come up with were faster and more power efficient by orders of magnitude for many common algorithms, but still they were trying to improve a normal way of doing things, which is to get up and running fast using GPUs are a source of number crunch.

In summary, people who don't actually need so more horsepower buying it helps keep it being developed for the smaller number of people who get it who are actually doing something useful with it.

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