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NEWS NEWS
Biden on immigration orders: ‘I’m eliminating bad policy’ TOP STORIES TODAY
Golden Globes Nominations 2021: The Complete List of Nominees From ‘Bridgerton’ shutout to James Corden backlash — here are all the 2021 Golden Globes snubs and surprises
The Surprises and Snubs of the 2021 Golden Globe Nominations The GameStop Rally Exposed the Perils of ‘Meme Populism’
Opinion: What this 18th century poet reveals about Amanda Gorman’s success Extraordinary voyage: on the trail of the trillion-tonne runaway iceberg
Coronavirus Daily Briefing Your Daily AM Roundup
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The biggest work from home mistakes: Harvard Business School remote expert

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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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Click the link below for the article (Be Sure to play video in the article):

https://www.cnbc.com/2020/11/17/worst-work-model-of-the-future-its-not-all-office-or-fully-remote.html

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Missed News 482

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NEWS TED TALKS  +
‘That hurricane is coming’: expert warns the US to brace for virulent Covid strain First day back to the gym
Biden’s climate agenda: An end to fossil fuels? Watch “How carbon capture networks could help curb climate change | Bas Sudmeijer” on YouTube
Dustin Diamond, Screech on ‘Saved by the Bell,’ Dies at 44 Watch “Susan Rice – “Tough Love,” Life in the Obama White House & The Trump Era | The Daily Show” on YouTube
There’s an Economic-Relief Deal That Lets Both Sides Win 3 ways companies can support grieving employees | Tilak Mandadi
Jeff Bezos to step down as Amazon CEO, Andy Jassy to take over in Q3 The 15-minute city | Carlos Moreno
Your Daily AM Roundup The 1-minute secret to forming a new habit | Christine Carter
Coronavirus Daily Briefing How AI can help shatter barriers to equality | Jamila Gordon
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Feed the world: How the USDA is using data and AI to address a critical need – Stories BBC News: Christchurch shootings: Brenton Tarrant pleads guilty to 51 murders
The Washington Post: Top Stories | A ‘negative’ coronavirus test result doesn’t always mean you aren’t infected The Washington Post: Top Stories | Afraid of commitment? Here are 22 one-season shows to stream.
The Washington Post: The road to creativity: Winter in Michigan Why companies will give you big bucks for your old iPhone – CNN
Playing on Hard Mode – Stratechery by Ben Thompson Shared Article from AOL: Former FBI lawyer apologizes for doctoring email
Shared Article from AOL: Horned Viking ‘Shaman’ Who Stormed Capitol Now Willing To Testify Against Trump COVID-19 prevention: Why soap, sanitizer and warm water work against coronavirus – CNN
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AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”

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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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Geoffrey HintonNoah Berger / AP

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Click the link below for the article:

https://www.technologyreview.com/2020/11/03/1011616/ai-godfather-geoffrey-hinton-deep-learning-will-do-everything/

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Is the GameStop Horde a Mob or a Movement?

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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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Photo: AFP via Getty Images

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Click the link below for the article:

https://nymag.com/intelligencer/2021/01/is-the-gamestop-horde-a-mob-or-a-movement.html

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From CNN: 16 Hong Kong domestic workers were infected by their employers who traveled internationally NYTimes: ‘It’s Just So Devastating’: For Crestfallen Gymnasts, an Olympic Dream Deferred
NYTimes: Some Coronavirus Patients Show Signs of Brain Ailments NYTimes: Coronavirus Is Making the Public Pension Crisis Even Worse
Shared Article from AOL: First warning signs of virus go beyond fever and cough From CNN: Shocking video shows ‘morbid new reality’ in Ecuador
From CNN: Man dies after hundreds of people exposed to coronavirus walked around world’s busiest airport 10 Surprising Uses for WD-40 (and 5 Places It Should Never Be Sprayed)
How to Easily Install Apps With Windows 10’s Package Manager (Using winstall) 12 incredibly useful Gmail settings you didn’t know you needed
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The disruption con: why big tech’s favorite buzzword is nonsense | News | The Guardian

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Americans Got Tired of Looking Bad on Zoom

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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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A computer monitor has a glowing light on its edges and a blinking face in its middle.Asia Pietrzyk

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Click the link below for the article:

https://www.theatlantic.com/technology/archive/2020/11/ring-lights-for-all/617143/

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Missed News 478

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NEWS TED TALKS +
Novavax’s Vaccine Works Well — Except on Variant First Found in South Africa Japanese are at it again
What’s the Difference Between KN95 and KF94 Masks? Watch “What makes a good life? Lessons from the longest study on happiness | Robert Waldinger” on YouTube
Coronavirus Daily Briefing Watch “Your brain hallucinates your conscious reality | Anil Seth” on YouTube
Harthorne Wingo, Knicks NBA champion, dead at 73 Tyler “Ninja” Blevins – “Get Good” and Life as an Elite Professional Gamer | The Daily Show
The Origins and Scientific Failings of the COVID-19 Last-Minute  Gifts to 3D Print!
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