James' World 2

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Of all the different things you can try to improve your productivity, a morning routine is one of the most effective.

There are a few reasons why morning routines are so useful. The first is obvious to anyone who has ever procrastinated, just getting started is often the hardest part. If you can start out with the right momentum towards your goals, you’ll avoid wrestling with yourself in the morning to get started.

The second is that the morning, particularly before the workday officially begins, is a quiet time with fewer social obligations. For many of us, the rest of the day can present a chaotic, ever-changing blast of responsibilities, urgent errands and unexpected interruptions. The morning, in contrast, is often the most consistent part of your day.

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Up and at them

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A new test of how Apple gathers usage data from iPhones has found that the company collects personally identifiable information while explicitly promising not to.

The privacy policy governing Apple’s device analytics says the “none of the collected information identifies you personally.” But an analysis of the data sent to Apple shows it includes a permanent, unchangeable ID number called a Directory Services Identifier, or DSID, according to researchers from the software company Mysk. Apple collects that same ID number along with information for your Apple ID, which means the DSID is directly tied to your full name, phone number, birth date, email address, and more, according to Mysk’s tests.

According to Apple’s analytics policy, “Personal data is either not logged at all, is subject to privacy-preserving techniques such as differential privacy, or is removed from any reports before they’re sent to Apple.” But Mysk’s tests show that show that the DSID, which is directly tied to your name, is sent to Apple in the same packet as all the other analytics information.

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Photo: Sukrita Rungroj (Shutterstock)

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These are the best personal finance books for 2022:

• “I Will Teach You To Be Rich,” by Ramit Sethi
• “Finance for the People,” by Paco de Leon
• “The Automatic Millionaire,” by David Bach
• “The Simple Path to Wealth,” by JL Collins
• “Get Good With Money,” by Tiffany “The Budgetnista” Aliche
• “Cashing Out: Win the Wealth Game by Walking Away,” by Julien and Kiersten Saunders
• “Retire Before Mom and Dad,” by Rob Berger
• “When She Makes More,” by Farnoosh Torabi
• “You Are a Badass at Making Money,” by Jen Sincero
• “The Millionaire Next Door,” by Thomas J. Stanley
• “Spend Well, Live Rich,” by Michelle Singletary
• “Your Money or Your Life,” by Vicki Robin
• “Broke Millennial Takes On Investing,” by Erin Lowry
• “Get a Financial Life,” by Beth Kobliner
• “The Financial Diet,” by Chelsea Fagan and Lauren Ver Hage
• “The Money Manual,” by Tonya B. Rapley
• “Clever Girl Finance,” by Bola Sokunbi
• “How I Invest My Money,” by Joshua Brown and Brian Portnoy

We’ve put together a list of 18 books for every stage of life and for every money goal, whether you want to retire early, invest in the stock market, start conversations about money with your family, or just see money from a different point of view. 

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Amazon; Alyssa Powell/Insider

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Every day, we’re inundated with new trends and the next “it” clothing items to add to our shopping carts. So much so that it feels nearly impossible to keep up. That’s the prime issue with the fashion industry in today’s world: Its endless cycle of overproduction and overconsumption causes harm to both people and the planet.

“The rate and volume with which we wear and discard our clothing has resulted in an unsustainable system that relies on the exploitation of planetary and human resources,” says Alyssa Beltempo, a slow fashion expert and sustainable stylist. “Two-thirds of our clothes are made from synthetics derived from fossil fuels, and 20 percent of industrial water pollution is due to garment manufacture and dyeing. Millions of garment professionals work in unfair and unsafe conditions, simply so that we can wear a garment an average of five times before discarding it.”

Every year, 21 billion pounds of textile waste is sent to landfills. That’s 85 percent of all textiles produced, and to put it into perspective, it’s the equivalent of one garbage truck filled with clothing being dumped in a landfill every second. Much of this waste can be attributed to fast fashion brands.

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https://www.wellandgood.com

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Underground Railroad ‘conductor’ Harriet Tubman was born in Dorchester County around 1822. At this small museum in downtown Cambridge – just a few miles from where she grew up – learn of the strength, courage, and determination of this remarkable woman.

The Harriet Tubman Museum & Education Center was started in the 1980s – and is still run by – dedicated local volunteers who want to share Harriet Tubman’s story and preserve her legacy. The museum building features a powerful and moving mural of Harriet Tubman that has attracted attention from around the country. The mural was commissioned by the Dorchester Center for the Arts and completed in May 2019 by artist Michael Rosato.

NOTE: This museum is different from the Harriet Tubman Underground Railroad Visitor Center, which opened in 2017 in Church Creek, Maryland, about a 20-minute drive from downtown Cambridge. Find out more about the Tubman Visitor Center.

The Harriet Tubman Museum offers exhibits and a short film about Tubman’s life, as well as a resource area. Groups are welcome; please call ahead. The museum can also organize tours of the area where Tubman lived and toiled. The museum is usually open Tuesday through Friday, 12-3pm, and Saturday, 12-4pm. There is no admission fee but donations are welcome.

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Harriet Tubman

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https://visitdorchester.org

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The tech industry might be reeling from a wave of layoffs, a dramatic crypto-crash, and ongoing turmoil at Twitter, but despite those clouds, some investors and entrepreneurs are already eyeing a new boom—built on artificial intelligence that can generate coherent text, captivating images, and functional computer code. But that new frontier has a looming cloud of its own.

A class-action lawsuit filed in a federal court in California this month takes aim at GitHub Copilot, a powerful tool that automatically writes working code when a programmer starts typing. The coder behind the suit argues that GitHub is infringing copyright because it does not provide attribution when Copilot reproduces open-source code covered by a license requiring it.

The lawsuit is at an early stage, and its prospects are unclear because the underlying technology is novel and has not faced much legal scrutiny. But legal experts say it may have a bearing on the broader trend of generative AI tools. AI programs that generate paintings, photographs, and illustrations from a prompt, as well as text for marketing copy, are all built with algorithms trained on previous work produced by humans. 

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Illustration: Jacqui VanLiew; Getty Images

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