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Missed News 483
February 3, 2021
Arts, Business, Finance, Human Interest, Medical, missed News, Political, Science, Technical amazon, business, Business News, current-events, Future, Hotels, human-rights, medicine, mental-health, research, Science, Science News, technology, Technology News, travel, vacation Leave a comment
Bandung, Bandung City, West Java, Indonesia
February 2, 2021
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Bandung is the capital of West Java province in Indonesia. One of Indonesia’s most populous cities, Greater Bandung is the country’s second-largest metropolitan extended with over 11 million inhabitants. Located 768 meters (2,520 feet) above sea level, approximately 140 kilometers (87 miles) southeast of Jakarta, Bandung has cooler year-round temperatures than most other Indonesian cities. The city lies on a river basin surrounded by volcanic mountains that provides a natural defense system, which was the primary reason for the Dutch East Indies government’s plan to move the capital from Batavia (modern-day Jakarta) to Bandung.
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An image from Bandung, Bandung City, West Java, Indonesia
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How Amazon became a pandemic giant – and why that could be a threat to us all
February 2, 2021
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The biggest work from home mistakes: Harvard Business School remote expert
February 2, 2021
Business, Food For Thought, Human Interest, Science, Technical amazon, business, Business News, current-events, Future, Hotels, human-rights, medicine, mental-health, research, Science, Science News, technology, Technology News, travel, vacation 2 Comments
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Key Points
- A Harvard Business School professor who has studied remote work for years says companies risk making big mistakes in a rushed moved to new employment models after Covid.
- He referenced GitLab, a 1,300-employee company that has been fully remote since it was founded and built rigorous processes from Day One to make it work.
- GitLab’s CEO says hybrid work models, which many companies now say they will favor in the future, can turn out to be “horrible.”
If you work for a company that is planning to make work-from-home permanent after the Covid-19 crisis, a big mistake could be in the making. That’s because, according to Harvard Business School professor Prithwiraj (Raj) Choudhury — a remote work expert who has been studying the phenomenon since well before the coronavirus — work-from-home is not the right model, even if it was a pandemic-induced short-term requirement. The new employment normal needs to be work-from-anywhere, or it is more likely to be a failure.
“Remote work is more than work-from-home, and the form of remote work I am most excited about is work-from-anywhere, where the employee has the choice to live anywhere,” Choudhury said at a recent CNBC Workforce Executive Council virtual event.
The Harvard professor, who recently wrote a cover story for the Harvard Business Review on his research, points to several key ways companies that think they are doing the right thing in migration to remote work may get it wrong.
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Missed News 482
February 2, 2021
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Berlin, Germany
February 1, 2021
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Berlin is the capital and largest city of Germany by both area and population, Its 3,769,495 inhabitants as of 31 December 2019 make it the most populous city of the European Union, according to the population within city limits. One of Germany’s 16 constituent states, Berlin is surrounded by the state of Brandenburg, and contiguous with Potsdam, Brandenburg’s capital. Berlin’s urban area has a population of around 4.5 million and is the second-most populous urban area in Germany after the Ruhr. The Berlin-Brandenburg capital region has about six million inhabitants and is Germany’s third-largest metropolitan region after the Rhine-Ruhr and Rhine-Main regions.
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An image from Berlin, Germany
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The Network: How a Secretive Phone Company Helped the Crime World Go Dark
February 1, 2021
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Everyone crammed into the Las Vegas hotel suite was asleep except for Vince Ramos. The Wynn luxury hotel, with its indoor gardens, seafood restaurants, and extravagant shopping, had been this group’s world for the past few days, with law enforcement officials from the U.S., Canada, and Australia grilling Ramos. Four or five officials lay down after another session of questioning their suspect.
Ramos had short breaks to see his wife and one of his children, who were staying in their own room nearby. Fearing he wouldn’t be able to see his family if he didn’t do so, Ramos spoke at length with the agents. Ramos looked like a ghost during those breaks when his family saw him, they said.
His trip to Vegas had been a setup.
He’d traveled to meet an associate as part of his multi-million dollar business, selling encrypted phones under the brand name Phantom Secure. Phantom’s customized BlackBerry phones used dedicated software designed to make an ordinary wiretap impossible. The associate and Ramos planned to attend a fight in Vegas. But instead, the FBI were waiting and cornered Ramos, dangling charges above his head usually reserved for taking down mob bosses. Biker gangs in Australia, drug traffickers in California, and even members of the Sinaloa Cartel all used Phantom’s phones. Rather than treat Phantom as an innocent third party to crime like Apple or Google when criminals use phones made by those companies, authorities said Ramos himself was part of criminal conspiracies. The agents had Ramos on tape suggesting he made the phones to help drug smugglers. On the other side of that hotel room door, when the agents finally stopped asking their questions, there was likely a long prison sentence.
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Illustration: Rebekka Dunlap
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There’s an Economic-Relief Deal That Lets Both Sides Win
February 1, 2021
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A group of ten Republican senators has made a $600 billion counteroffer to President Biden’s $1.9 trillion economic-rescue plan. The media has treated this negotiation as a mere formality, the prelude Biden will briefly entertain before getting down to the business of passing a real bill through budget reconciliation.
That may be so. But there is a chance the two sides can actually make a deal. And the best way to do that is to enhance its flexibility so that the Democratic fear of spending too little and the Republican fear of spending too much can both be resolved.
Democrats are haunted by the experience of 2009 and are determined not to repeat its errors. Congressional leadership bound itself to a 60-vote threshold that required getting support from at least two Republican senators, who in turn bargained down the size of the bill out of an arbitrary belief that a trillion dollars was too much to spend. The economic contraction wound up considerably deeper than economists realized at the time, and the administration had trouble getting votes for more stimulus later, and the slow growth that resulted punished Democratic members of Congress.
The lesson many Democrats have drawn is that they have to ensure that Biden doesn’t get saddled with a stimulus that’s underpowered. “The only thing we cannot accept” is a bill that is “too small or too narrow,” says Senate Majority Leader Chuck Schumer, who cites the lessons of 2009. “Democrats can’t assume we will have bite after bite at the apple, particularly with Republican state legislatures working overtime to entrench minority rule through redistricting,” Oregon Senator Ron Wyden tells Greg Sargent. “The only surefire way to prevent economic sabotage is to pass the bold economic relief that’s needed now.”
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Photo: ANDREW CABALLERO-REYNOLDS/AFP via Getty Images
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Missed News 481
February 1, 2021
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AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
January 30, 2021
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On the AI field’s gaps: “There’s going to have to be quite a few conceptual breakthroughs…we also need a massive increase in scale.”
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On neural networks’ weaknesses: “Neural nets are surprisingly good at dealing with a rather small amount of data, with a huge numbers of parameters, but people are even better.”
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On how our brains work: “What’s inside the brain is these big vectors of neural activity.”
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The modern AI revolution began during an obscure research contest. It was 2012, the third year of the annual ImageNet competition, which challenged teams to build computer vision systems that would recognize 1,000 objects, from animals to landscapes to people.
In the first two years, the best teams had failed to reach even 75% accuracy. But in the third, a band of three researchers—a professor and his students—suddenly blew past this ceiling. They won the competition by a staggering 10.8 percentage points. That professor was Geoffrey Hinton, and the technique they used was called deep learning.
Hinton had actually been working with deep learning since the 1980s, but its effectiveness had been limited by a lack of data and computational power. His steadfast belief in the technique ultimately paid massive dividends. The fourth year of the ImageNet competition, nearly every team was using deep learning and achieving miraculous accuracy gains. Soon enough deep learning was being applied to tasks beyond image recognition, and within a broad range of industries as well.
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Noah Berger / AP
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