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"As adolescents and young adults fled Facebook for platforms like Instagram and Snapchat, Facebook knew its long-term survival depended on winning over that demographic. But the savvy business move had a different, less public price tag. Caught up in recommendations from a powerful algorithm designed to keep them engaged, some teen girls found Instagram worsened their body image, according to a new Wall Street Journal investigation. Users even pinned feelings of increased depression, anxiety, and suicidal thinking on the app."

"Facebook knows its systems lead teenagers to anorexia-related content. The company had to "break the glass" and turn back on safety settings after the 6 January Washington riots. Facebook intentionally targets teenagers and children under 13. Monday's outage that brought down Facebook, Instagram and WhatsApp meant that for more than five hours Facebook could not "destabilise democracies"."

"Frances Haugen: When we live in an information environment that is full of angry, hateful, polarizing content it erodes our civic trust, it erodes our faith in each other, it erodes our ability to want to care for each other, the version of Facebook that exists today is tearing our societies apart and causing ethnic violence around the world. 'Ethnic violence' including Myanmar in 2018 when the military used Facebook to launch a genocide. "

"In each case, biometric data has been harnessed to try to save time and money. But the growing use of our bodies to unlock areas of the public and private sphere has raised questions about everything from privacy to data security and racial bias."

"The system is called as"Intelligent Classroom Behavior Management System" and it is being used at Hangzhou No. 11 High School. With scanning facial expressions the system has the ability to even analysis six types of behaviors by the students such as standing up, reading, writing, hand raising, listening to the teacher, and leaning on the desk."

"The metaverse is "a virtual environment where you can be present with people in digital spaces," he said. It's "an embodied Internet that you're inside of rather than just looking at. We believe that this is going to be the successor to the mobile Internet.""

"Some standards did spread and crystallise over time, as more books were printed and literacy rates climbed. The printing profession played a key role in these emergent norms. Printing houses developed habits for spelling frequent words, often based on what made setting type more efficient. In a manuscript, hadde might be replaced with had; thankefull with thankful. When it came to spelling, the primary objective wasn't to faithfully represent the author's spelling, nor to uphold some standard idea of 'correct' English - it was to produce texts that people could read and, more importantly, that they would buy. Habits and tricks became standards, as typesetters learned their trade by apprenticing to other typesetters. They then often moved around as journeymen workers, which entailed dispersing their own habits or picking up those of the printing houses they worked in."

"Twitter's image cropping algorithm prefers younger, slimmer faces with lighter skin, an investigation into algorithmic bias at the company has found. The finding, while embarrassing for the company, which had previously apologised to users after reports of bias, marks the successful conclusion of Twitter's first ever "algorithmic bug bounty"."

"The type of device matters-some are associated with worse student outcomes. Geography matters-technology is associated with higher student outcomes in the United States than in other regions. Who is using the technology matters-technology in the hands of teachers is associated with higher scores than technology in the hands of students. Intensity matters-students who use technology intensely or not at all perform better than those with moderate use. A school system's current performance level matters-in lower-performing school systems, technology is associated with worse results."

"Second, there is the question of how we see ourselves. Human nature is a baggy, capacious concept, and one that technology has altered and extended throughout history. Digital technologies challenge us once again to ask what place we occupy in the universe: what it means to be creatures of language, self-awareness and rationality."

"But, being pro-technology doesn't mean that I have to pretend there is no danger. Most people are unaware of the ways their technology is holding them back. The good news is that once you become aware, it's not too difficult to start getting things back on track. It's possible use technology while keeping yourself protected from its detrimental effects."

"The long-running issues of traceability, transparency and enforcement were colourfully illustrated in September 2017 when a group of investigators from the Basel Action Network (BAN) - a non-for-profit group that monitors compliance with the 1989 United Nations Basel Convention on the trade of hazardous wastes - attempted to learn where exactly Australia's e-waste was going. The group fitted 35 old CRT televisions, LED monitors and printers with GPS devices of a special make. Out of this sample the team quickly focused on the fate of three LCD screens dropped at Officeworks storefronts around the Brisbane metro area. Hayley Palmer, BAN's chief operating officer, was on the team that followed where they went afterwards. As the signals left the country, Palmer, her nine-month-old and a colleague tracked the monitors to a warehouse in Hong Kong and then on to an illegal dump-yard in a rural part of Thailand where they talked their way inside."

"100 Things We've Lost to the Internet. Its form seems to fit an era of short attention spans, breaking up its author's writing into short essays with headings such as "Solitude", "Ignoring people", "Leaving a message" and "A parent's undivided attention". At its best, the book reads like it mixes journalism with sociology and anthropology. To its credit, it also manages the rare feat of exploring what technology has done to us without succumbing to doom and panic."

"Joel and Anna have experienced this too, though Joel believes his tech is not inherently misogynistic. "Because I set it up, I know exactly the phrase that needs to be used and Anna doesn't," he explains. "She'll say it slightly wrong, then I say it and to her ear it sounds like I'm saying exactly the same thing in a calmer voice.""

"Why are many Gen Zers averse to sending emails? Because emails are too formal, and not as instant as other forms of communication. So it takes too much time to compose the messages, and then it's difficult to get the formal tone correct, which causes anxiety."

"On Wednesday, California Gov. Gavin Newsom signed a bill into law that directly affects "mega-retailers" like Amazon, and how these companies use algorithms to manage warehouse workers. Mega-retailers are those that employ more than 1,000 warehouse workers, and they include one of Amazon's main competitors, Walmart."

"Alex Naka, a data scientist at a biotech firm who signed up to test Copilot, says the program can be very helpful, and it has changed the way he works. "It lets me spend less time jumping to the browser to look up API docs or examples on Stack Overflow," he says. "It does feel a little like my work has shifted from being a generator of code to being a discriminator of it.""

"They tested four well-known models, including GPT-3. The best was truthful on 58% of questions, while human performance was 94%. The models "generated many false answers that mimic popular misconceptions and have the potential to deceive humans". Interestingly, they also found that "the largest models were generally the least truthful"."

""A full inbox is a constant reminder of what we have not done and can impact our sense of accomplishment," Lukins says. "Inbox Zero is a powerful strategy we can implement to increase our sense of control about our workflow. Each time we achieve a task, we receive a hit of dopamine that is physically reinforcing, and [we] feel the psychological relief of achievement.""

"DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm-equivalent model that can work with real-world data."