Businesses

If Humble People Make the Best Leaders, Why Do We Fall for Charismatic Narcissists? (hbr.org) 339

Numerous studies and real-life examples show humble, unassuming people as leaders improve the performance of a company in the long run. The humity, exuded by these leaders, can be contagious. Yet, instead of following the lead of these unsung heroes, an article on Harvard Business Review argues, we appear hardwired to search for people who exude charisma. The article looks into why such is the case: One study suggests that despite being perceived as arrogant, narcissistic individuals radiate "an image of a prototypically effective leader." Narcissistic leaders know how to draw attention toward themselves. They enjoy the visibility. It takes time for people to see that these early signals of competence are not later realized, and that a leader's narcissism reduces the exchange of information among team members and often negatively affects group performance. It's not that charismatic and narcissistic people can't ever make good leaders. In some circumstances, they can. For example, one study found that narcissistic CEOs "favor bold actions that attract attention, resulting in big wins or big losses." A narcissistic leader thus can represent a high-risk, high-reward proposition.
Programming

Major Banks and Parts of Federal Gov't Still Rely On COBOL, Now Scrambling To Find IT 'Cowboys' To Keep Things Afloat (reuters.com) 300

From a report on Reuters: Bill Hinshaw is not a typical 75-year-old. He divides his time between his family -- he has 32 grandchildren and great-grandchildren -- and helping U.S. companies avert crippling computer meltdowns. Hinshaw, who got into programming in the 1960s when computers took up entire rooms and programmers used punch cards, is a member of a dwindling community of IT veterans who specialize in a vintage programming language called COBOL. The Common Business-Oriented Language was developed nearly 60 years ago and has been gradually replaced by newer, more versatile languages such as Java, C and Python. Although few universities still offer COBOL courses, the language remains crucial to businesses and institutions around the world. In the United States, the financial sector, major corporations and parts of the federal government still largely rely on it because it underpins powerful systems that were built in the 70s or 80s and never fully replaced. And here lies the problem: if something goes wrong, few people know how to fix it. The stakes are especially high for the financial industry, where an estimated $3 trillion in daily commerce flows through COBOL systems. The language underpins deposit accounts, check-clearing services, card networks, ATMs, mortgage servicing, loan ledgers and other services. The industry's aggressive push into digital banking makes it even more important to solve the COBOL dilemma. Mobile apps and other new tools are written in modern languages that need to work seamlessly with old underlying systems. That is where Hinshaw and fellow COBOL specialists come in. A few years ago, the north Texas resident planned to shutter his IT firm and retire after decades of working with financial and public institutions, but calls from former clients just kept coming.
Businesses

Airlines Make More Money Selling Miles Than Seats (expressnews.com) 135

An anonymous reader shares a report: Does your wallet contain an airline-branded credit card? If so, your daily Starbucks visits, iTunes selections and dining habits serve a critical role in keeping the U.S. airline industry fat and happy. For carriers such as American Airlines, riding Citigroup Inc. plastic, or Delta, on American Express Co., these programs are a cash cow, a golden goose -- or any other fiscal livestock you care to conjure. Each mile fetches an airline anywhere from 1.5 cents to 2.5 cents, and the big banks amass those miles by the billions (alternative source), doling them out to cardholders each month. For the banks, people who pay annual fees for those cards in order to accumulate miles are the closest thing to a sure bet. These consumers typically have higher-than-average incomes and spend more on their cards, generating merchant fees for the banks. They also tend to maintain high credit scores, which means they pay their bills on time and banks experience fewer defaults. The airline-miles business, formally known as loyalty programs, has become a high-margin enterprise that's grown in size and value amid airline consolidation, with carriers keen to expand credit card rolls and see loyalty members spend more.
Government

Spyware Firms in Breach of Global Sanctions (aljazeera.com) 29

From a report on Al Jazeera: Spy equipment producers are breaking laws and circumventing international sanctions by agreeing to sell stock to countries known for human rights abuses, and to clients who do not declare the end user -- meaning surveillance tools could easily fall into the hands of armed groups, corporations, governments cracking down on dissent, or opposition leaders, an exclusive investigation by Al Jazeera reveals. During "Spy Merchants", a four-month undercover operation, Al Jazeera secretly filmed representatives of two Italian companies and one Chinese business agreeing to sell spyware that is capable of tracking millions of people online and able to intercept phone calls and text messages without anyone finding out. The vendors boasted of being able to side-step the law by using sister and shell companies and explained how to possibly circumvent export regulations by lying about the details of shipments and using third countries exempted from certain rules as stopping places.
The Almighty Buck

Tesla Tops GM by Market Value as Investors See Musk as Future (bloomberg.com) 289

Tesla became the largest U.S. auto maker by market value on Monday, overtaking General Motors -- a feat that would have seemed highly improbable 13 years ago when the electric-car maker first began tinkering with the idea of making a sports car. From a report: Tesla climbed as much as 3.4 percent in early Monday trading, boosting its market capitalization to about $51 billion. The company was valued at about $1.7 billion more than GM as of 9:35 a.m. in New York. The turnabout shows the extent to which investors have bought into Musk's vision that electric vehicles will eventually rule the road. While GM has beat Tesla to market with a plug-in Chevrolet Bolt with a price and range similar to what Musk has promised for his Model 3 sedan coming later this year, the more than century-old company has failed to match the enthusiasm drummed up by its much smaller and rarely profitable U.S. peer. No matter, say investors who like the stock. Tesla is a technology player with the ability to dominate a market for electric cars and energy storage. To those same investors, GM and Ford are headed for a slowdown in car sales that will erode profits. "Is it fair? No, it isn't fair," Maryann Keller, an auto-industry consultant in Stamford, Connecticut, said of GM ceding the market-cap crown. "Even if Tesla turns a profit, they will eventually have to make enough to justify this valuation."
DRM

American Farmers Are Still Fighting Tractor Software Locks (npr.org) 316

Manufacturers lock consumers into restrictive "user agreements," and inside "there's things like you won't open the case, you won't repair," complains a U.S. advocacy group called The Repair Association. But now the issue is getting some more attention in the American press. An anonymous reader quotes NPR: Modern tractors, essentially, have two keys to make the engine work. One key starts the engine. But because today's tractors are high-tech machines that can steer themselves by GPS, you also need a software key -- to fix the programs that make a tractor run properly. And farmers don't get that key.

"You're paying for the metal but the electronic parts technically you don't own it. They do," says Kyle Schwarting, who plants and harvests fields in southeast Nebraska... "Maybe a gasket or something you can fix, but everything else is computer controlled and so if it breaks down I'm really in a bad spot," Schwarting says. He has to call the dealer. Only dealerships have the software to make those parts work, and it costs hundreds of dollars just to get a service call. Schwarting worries about being broken down in a field, waiting for a dealer to show up with a software key.

The article points out that equipment dealers are using those expensive repair calls to offset slumping tractor sales. But it also reports that eight U.S. states, including Nebraska, Illinois and New York, are still considering bills requiring manufacturers to sell repair software, adding that after Massachusetts passed a similar lar, "car makers started selling repair software."
Earth

'Unprecedented' Bleaching Damages Two-Thirds Of Australia's Great Barrier Reef (bbc.com) 130

An anonymous reader writes: Unprecedented coral bleaching in consecutive years has damaged two-thirds of Australia's Great Barrier Reef, aerial surveys have shown. The bleaching — or loss of algae — affects a 1,500km (900 miles) area of the reef, according to scientists. The latest damage is concentrated in the middle section, whereas last year's bleaching hit mainly the north. Experts fear the proximity of the two events will give damaged coral little chance to recover.
Media

OpenELEC 8.0 Linux Distro Released For PC, Raspberry Pi, WeTek Hub (betanews.com) 50

BrianFagioli writes: Today, popular Linux distro OpenELEC reaches version 8.0 stable. This operating system leverages Kodi to provide a well-rounded media center experience. Not only are there images for PC, but for Raspberry Pi, and WeTek boxes too.

'OpenELEC 8.0 release contains a Kodi major version bump. If you are updating from OpenELEC 7.0 or earlier we strongly recommend you perform a full backup before performing a manual update. If you experience issues please perform a soft-reset to clear OpenELEC and Kodi settings,' says Stephan Raue, OpenELEC.

AI

The Dark Secret At the Heart of AI (technologyreview.com) 19

schwit1 shares an excerpt from a report via MIT Technology Review: No one really knows how the most advanced algorithms do what they do. That could be a problem. Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey. The experimental vehicle, developed by researchers at the chip maker Nvidia, didn't look different from other autonomous cars, but it was unlike anything demonstrated by Google, Tesla, or General Motors, and it showed the rising power of artificial intelligence. The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. Getting a car to drive this way was an impressive feat. But it's also a bit unsettling, since it isn't completely clear how the car makes its decisions. Information from the vehicle's sensors goes straight into a huge network of artificial neurons that process the data and then deliver the commands required to operate the steering wheel, the brakes, and other systems. The result seems to match the responses you'd expect from a human driver. But what if one day it did something unexpected -- crashed into a tree, or sat at a green light? As things stand now, it might be difficult to find out why. The system is so complicated that even the engineers who designed it may struggle to isolate the reason for any single action. And you can't ask it: there is no obvious way to design such a system so that it could always explain why it did what it did. The mysterious mind of this vehicle points to a looming issue with artificial intelligence. The car's underlying AI technology, known as deep learning, has proved very powerful at solving problems in recent years, and it has been widely deployed for tasks like image captioning, voice recognition, and language translation. There is now hope that the same techniques will be able to diagnose deadly diseases, make million-dollar trading decisions, and do countless other things to transform whole industries. But this won't happen -- or shouldn't happen -- unless we find ways of making techniques like deep learning more understandable to their creators and accountable to their users. Otherwise it will be hard to predict when failures might occur -- and it's inevitable they will. That's one reason Nvidia's car is still experimental.

schwit1 adds: "To be fair, we don't really understand how natural intelligence works, either."

News

Spotify Executive Chris Bevington Dies In Stockholm Attack (variety.com) 366

"On Friday, four people were killed and about 15 more were injured when a truck plowed through a shopping area in the heart of Sweden's capital," reports Variety. One of the four victims was Chris Bevington, an executive at Spotify. An anonymous reader writes: "The British 41-year-old had served as Spotify's director of global partnerships/business development, working from Stockholm," reports Variety. The streaming service's founder, Daniel Ek, confirmed the news with a Facebook post on Sunday. "Chris has been a member of our band for over five years. He has had a great impact on not just the business but on everyone who had the privilege to know and work with him. There are no words for how missed he will be or for how sad we all are to have lost him like this."
Classic Games (Games)

Celebrating '21 Things We Miss About Old Computers' (denofgeek.com) 467

"Today, we look back at the classic era of home computing that existed alongside the dreariness of business computing and the heart-pounding noise and colour of the arcades," writes the site Den of Geek. An anonymous reader reports: The article remembers the days of dial-up modems, obscure computer magazines, and the forgotten phenomenon of computer clubs. ("There was a time when if you wanted to ask a question about something computer related, or see something in action, you'd have to venture outside and into another building to go and see it.") Gamers grappled with old school controllers, games distributed on cassette tapes, low-resolution graphics and the "playground piracy" of warez boards -- when they weren't playing the original side-scrolling platformers like Mario Bros and Donkey Kong at video arcades.

In a world where people published fanzines on 16-bit computers, shared demo programs, and even played text adventures, primitive hardware may have inspired future coders, since "Old computers typically presented you with a command prompt as soon as you switched them on, meaning that they were practically begging to be programmed on." Home computers "mesmerised us, educated us, and in many cases, bankrupted us," the article remembers -- until they were replaced by more powerful hardware. "You move on, but you never fully get over your first love," it concludes -- while also adding that "what came next was pretty amazing."

Does this bring back any memories for anybody -- or provoke any wistful nostalgic for a bygone era? Either way, I really liked the way that the article ended. "The most exciting chapter of all, my geeky friends? The future!"
Google

DeepMind Open Sources 'Sonnet' Library For Easier Creation Of Neural Networks (fossbytes.com) 17

"We are very excited about contributions from the community," announced Alphabet's DeepMind, open sourcing a new library to make it easier to build complex TensorFlow neural networks. An anonymous reader writes: "DeepMind foresees Sonnet to be used by the community as a research propellant," reports FossBytes. "Also, it would allow easy sharing of other models created by DeepMind with the community." Sonnet uses an object-oriented approach, a recent blog post explained, pointing to more details on GitHub. "The main principle of 'Sonnet' is to first construct Python objects which represent some part of a neural network, and then separately connect these objects into the TensorFlow computation graph."

DeepMind sees this as part of their broader commitment to open source AI research. "In recent months we've also open-sourced our flagship platform DeepMind Lab, and are currently working with Blizzard to develop an open source API that supports AI research in StarCraft II."

Microsoft

Microsoft Claims Windows 10 Saves Enterprises 28% More Than They Claimed Last Year (computerworld.com) 136

"Microsoft this week boosted by 28% its claim of how much enterprises can save by deploying Windows 10," writes Computerworld. An anonymous reader quotes their report: The revised estimate came from a Microsoft-commissioned analysis first done in mid-2016 by Forrester Research. Then, Forrester said the per-worker savings over a three-year stretch would be $404. To reach that number, the research firm interviewed four Microsoft customers that had begun moving to Windows 10, then modeled a hypothetical organization with 24,000 Windows devices, and a large number of mobile workers among the 20,000 employees. Using that pretend company, Forrester forecast the difference between running Windows 10 and retaining Windows 7.

Late last year, Forrester interviewed another quartet of Windows early 10 adopters, then added that data to what it had originally. The new per-employee savings: $515 over three years, a jump of almost a third... Forrester's increase in the number of mobile workers -- the total climbed by 460 employees -- was the biggest factor in the changed estimate... The bottom line, said Forrester and Microsoft, was that the migration to Windows 10 would pay for itself -- the breakeven point when savings equal costs -- in 14 months.

The report says IT administrators "estimate a 20% improvement in management time, as Windows 10 requires less IT time to install, manage, and support with in-place deployment and more self-service functions," while because of the OS's security software, "security events requiring IT remediation are reduced or avoided by 33%."
Businesses

Ask Slashdot: How Should You Launch A Software Startup? (theguardian.com) 140

Slashdot reader ben-hnb is a developer who loves the idea of running a startup, or being one of the ones who got in early. But how exactly does he get there? I've got no "business" experience. Everyone seems to want to get on the startup incubator train -- the latest U.K. model I've seen, Launchpad, would even train (MA!) and support me financially for a year while developing the initial product. This just one in a long list of different models, from the famous Y-Combinator three-month model to the 500 Startups four-month seed program and simple co-working spaces with a bit of help, like Launch 22.

If you wanted to get a startup going, where would you go to first and why? Or would you just strike out in your bedroom/garage?

Leave your best answers in the comments. How would you launch a software startup?
The Almighty Buck

Bitcoin Exchange Sues Wells Fargo Over Massive Wire Transfer Suspension (bitcoin.com) 79

An anonymous reader quotes this report from the cryptocurrency news site Bitcoin.com: Bitfinex, on Wednesday, filed a lawsuit against Wells Fargo for suspending its outgoing U.S. dollars wire transfers. In addition to "a preliminary and permanent injunction against Wells Fargo," the exchange is seeking compensatory damages in excess of $75,000 and any additional relief the court may deem fair as well as a jury trial for the case... The court document states that Bitfinex is a customer of four Taiwan-based banks but is not itself a customer of Wells Fargo. However, its banks in Taiwan use Wells Fargo as a correspondent bank to process U.S. dollar wire transfers, which is a normal practice in cross-border payments.
"So far, close to US$180M in funds is locked up in Wells Fargo accounts," writes The Merkle, "with no clear path to a resolution in sight." But a Bitfinex representative on social media pointed out that "Funds are not frozen," adding that Wells Fargo is just a correspondent bank, and "They have chosen to block wire transfers between us and our customers which we are challenging in court."

Another post from BFX_Brandon states that "If we allow them to simply flip a switch and disrupt business, then there becomes a precedence in the Bitcoin industry beyond just Bitfinex, so we believe it is the appropriate time to take action."

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