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Assorted human interest posts.
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

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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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February 2, 2021
Arts, Business, Food For Thought, Human Interest, Made Me Laugh, 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

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February 1, 2021
Arts, Business, Crime, Food For Thought, 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

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January 30, 2021
Business, 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 Leave a comment

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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.”
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.”
On how our brains work: “What’s inside the brain is these big vectors of neural activity.”
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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January 30, 2021
Business, Finance, 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 Leave a comment

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In September, Sinan Aral published The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health — and How We Must Adapt. Five months later, the book might be described as prophetic: This month alone at least two of Aral’s three predictions have come to fruition. First, there was the Capitol riot, fueled by months of lies about election fraud on social media, and then there was this week’s Wall Street meltdown, courtesy of Reddit message-board users who launched a fading retail company’s stock price higher than that of Apple. I spoke to Aral, director of MIT’s Initiative on the Digital Economy, about the gray area that is large coordinated stock buys and whether the Securities and Exchange Commission can do anything about it.
How did you see this coming? Has this sort of thing ever happened before?
In my book, I start with the example from April 2013, when Syrian hackers infiltrated the Associated Press’s Twitter handle and put out a tweet that said, “Two explosions in the White House and Barack Obama is injured.” This tweet went viral and the market crashed — it lost about $140 billion worth of equity value in a matter of minutes. What we have to realize about examples like that is that social media doesn’t live in isolation. Companies like Dataminr and Ravn use algorithms that sift through the sentiment on social media, trying to find signals in the noise. And they’re connected to automated trading algorithms. They’re also giving buy/sell recommendations to institutional investors in real-time. There’s a feedback loop between social-media sentiment and trading already.
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January 30, 2021
Food For Thought, Human Interest, Medical, missed News, Science, sports, 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

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January 29, 2021
Business, 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 Leave a comment
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January 29, 2021
Business, 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 Leave a comment

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In the mid-2000s, news anchors found themselves with a problem: They didn’t look so hot anymore. Their real-life visages hadn’t changed, but the technology that beamed them into millions of households had outpaced their faces’ ability to keep up. High-definition cameras proliferated, as did the enormous HDTVs that render blemishes, pancake makeup, and flyaways in larger-than-life detail. Local newscasters with limited budgets fretted over judgment from viewers. CNN’s Anderson Cooper considered plastic surgery. Makeup and lighting crews scrambled to adjust.
When the pandemic hit, the same thing happened to millions of Americans. This was hardly our worst problem in March, but it was a problem nonetheless. While people had been living their in-person life, blissfully unaware of their expression at any given moment, the cameras around them had been multiplying and improving. Once office work and socializing went online, everyone looked terrible. Americans had spent the past decade mastering the momentary muscle movements of a good selfie, but starring in a high-quality live video in front of co-workers or romantic prospects for hours at a time is a different beast entirely. People had no idea how to contend with broadcasting their own face—weird shadows, awkward backdrops, and under-the-chin shots from low-slung laptops abounded.
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Asia Pietrzyk.
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January 28, 2021
Arts, Food For Thought, Human Interest, Medical, missed News, Science, sports, 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

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