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Daily Briefing

Weekend reads: Workers want a 4-day workweek. Why hasn't it happened?


Vivian Le's reads

12 etiquette tips to make your flights easier. With the summer travel season about to begin, airlines are about to get even busier, which means more opportunities for awkward encounters or disagreements among travelers. Writing for The New York Times, Kristie Koerbel, a flight attendant with over 20 years of experience, offers 12 etiquette rules that "strike a balance between your own reasonable comforts and thoughtfulness to those around you" to help make flying more pleasant for everyone.

How streaming has made TV worse. With the Hollywood writer's strike now underway, some people are worried that it'll lead to a decline in TV quality, much like it did during the last writer's strike in 2007-2008. However, that decline may already be in motion — and could get worse. Writing for The Atlantic, Caroline Framke explains how streaming has made TV into "an all-you-can-eat buffet that won't let us stop eating long enough to breathe," ultimately sacrificing quality for "sheer volume of output."

Lex Ashcroft's reads

Workers want a four-day workweek. Why hasn't it happened? The push for a four-day workweek has gained renewed attention — largely thanks to the flexible working arrangements made necessary by the pandemic that proved to be beneficial for both workers and companies. Despite the success of several pilot programs (and favor of most Americans), the concept has hardly gained any traction in the U.S. Writing for The Washington Post, Annabelle Tisman outlines the hurdles preventing the policy from being widely adopted, the various stakeholders needed to make change, and the legislative work that is currently underway to take the four-day workweek mainstream.

No more one-size-fits all diet. AI can tailor dietary advice. A new study funded by NIH will employ artificial intelligence (AI) to help create tailored approaches to nutrition. The Nutrition for Precision Health study will collect individual sets of data, accounting for genetics, lifestyle, and other factors. Using this data, researchers will then develop AI-powered algorithms that can predict how a person's body will respond to specific foods or diets. Writing for NPR, Allison Aubrey details the study's design and role in diet-related disease prevention and explores the growing movement of "precision nutrition."


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