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Here’s What Happens When Your Lawyer Uses ChatGPT

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The lawsuit began like so many others: A man named Roberto Mata sued the airline Avianca, saying he was injured when a metal serving cart struck his knee during a flight to Kennedy International Airport in New York.

When Avianca asked a Manhattan federal judge to toss out the case, Mr. Mata’s lawyers vehemently objected, submitting a 10-page brief that cited more than half a dozen relevant court decisions. There was Martinez v. Delta Air Lines, Zicherman v. Korean Air Lines and, of course, Varghese v. China Southern Airlines, with its learned discussion of federal law and “the tolling effect of the automatic stay on a statute of limitations.”

There was just one hitch: No one — not the airline’s lawyers, not even the judge himself — could find the decisions or the quotations cited and summarized in the brief.

That was because ChatGPT had invented everything.

The lawyer who created the brief, Steven A. Schwartz of the firm Levidow, Levidow & Oberman, threw himself on the mercy of the court on Thursday, saying in an affidavit that he had used the artificial intelligence program to do his legal research — “a source that has revealed itself to be unreliable.”

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https://static01.nyt.com/images/2023/05/28/lens/28airline-suit1/28airline-suit1-jumbo.jpg?quality=75&auto=webpAs an Avianca flight approached Kennedy International Airport in New York, a serving cart collision began a legal saga, prompting the question: Is artificial intelligence so smart? Credit…Nicolas Economou/NurPhoto, via Getty Images

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Click the link below for the article:

https://www.nytimes.com

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Does mass increase when nearing the speed of light?

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No matter who you are, where you are, or how quickly you’re moving, the laws of physics will appear exactly the same to you as they will to any other observer in the Universe. This concept — that the laws of physics don’t change as you move from one location to another or one moment to the next — is known as the principle of relativity, and it goes all the way back not to Einstein, but even farther: to at least the time of Galileo. If you exert a force on an object, it will accelerate (i.e., change its momentum), and the amount of its acceleration is directly related to the force on the object divided by its mass. In terms of an equation, this is Newton’s famous F = ma: force equals mass times acceleration.

But when we discovered particles that moved close to the speed of light, suddenly a contradiction emerged. If you exert too large of a force on a small mass, and forces cause acceleration, then it should be possible to accelerate a massive object to reach or even exceed the speed of light! This isn’t possible, of course, and it was Einstein’s relativity that gave us a way out. It was commonly explained by what we call “relativistic mass,” or the notion that as you got closer to the speed of light, the mass of an object increased, so the same force would cause a smaller acceleration, preventing you from ever reaching the speed of light. But is this “relativistic mass” interpretation correct? Only kind of. Here’s the science of why.

The first thing it’s vital to understand is that the principle of relativity, no matter how quickly you’re moving or where you’re located, is still always true: the laws of physics really are the same for everyone, regardless of where you’re located or when you’re making that measurement. The thing that Einstein knew (that both Newton and Galileo had no way of knowing) was this: the speed of light in a vacuum must be exactly the same for everyone. This is a tremendous realization that runs counter to our intuition about the world.

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https://bigthink.com/wp-content/uploads/2021/12/ezgif-4-4e46c3553db8.gif?lb=875,492Credit: Jahobr/Nevadawest of Wikimedia Commons/  This moving, zipping star field appears to depict an ultra-relativistic motion through space, extremely close to the speed of light. Under the laws of relativity, you neither reach nor exceed the speed of light if you’re made of matter. You might be able to approach it if you had a large-enough amount of an efficient-enough fuel, but you still need to obey the rules of relativity

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Click the link below for the article:

https://bigthink.com/starts-with-a-bang/mass-increase-speed-of-light/?utm_source=pocket_discover_science

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When Great Minds Don’t Think Alike

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As someone with more than 50 years of experience in both industry and academia who also happens to be a person with autism, managers in charge of DEI at major corporations often invite me to give lectures. These companies range from steel, pharmaceuticals, computers, and consumer products to cattle and livestock handling, transportation, and social media. I always get asked the same basic question from management: What do they need to do to make their workforce more inclusive?

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https://hbr.org/resources/images/article_assets/2023/05/May23_23_lalalimola.jpgIllustration by Lalalimola

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Click the link below for the article:

https://hbr.org/2023/05/when-great-minds-dont-think-alike?utm_source=pocket_discover

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Death and life are in the power of the tongue

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21 
Death and life are in the power of the tongue,
And those who love it and indulge it will eat its fruit and bear the consequences of their words.

 

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Tom Hanks on the Rewards and “Vicious Reality” of Making Movies

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Not long ago, I was preparing to interview Tom Hanks at Symphony Space, a theater on the Upper West Side of Manhattan, for an audience of seven hundred-plus people at The New Yorker Live. Hanks had just published a novel called “The Making of Another Major Motion Picture Masterpiece,” and he was hitting the road for a while. Symphony Space was the first stop on the tour. Someone from Knopf, his publisher, let me know that I would embarrass Hanks if, in my introduction, I went through the litany of movies he has starred in since the early eighties. In fact, if I had, that would have been the whole evening. The list is long and shimmery. Hanks is that rare thing, a real movie star who has sustained a four-decades-and-counting career. It’s not just that he has won two Oscars in a row (for “Philadelphia” and “Forrest Gump”) or made box-office hits including “Splash,” “Saving Private Ryan,” and Steven Spielberg’s most enjoyable film, “Catch Me If You Can.” He’s also capable of taking on a predictable vehicle, such as the recent feature “A Man Called Otto,” and pumping some life into it while attracting a sizable audience.

What surprised me is the degree to which Hanks, particularly in front of a live crowd, in no way resembles Jimmy Stewart, the laconic Hollywood icon to whom he’s most often, and most lazily, compared. When we met beforehand, then onstage for an hour and a half, and, finally, over a long dinner at a local Greek restaurant, Hanks was about as laconic as Muhammad Ali. Or a hand grenade. He is funny, sarcastic, self-knowing, and a tireless raconteur, particularly about his day job. In our interview, he sometimes answered questions as he might in a more private setting than Symphony Space; far more often, he took some element of the question as a cue for a prolonged, well-polished anecdote, performed at the edge of his seat. Hanks’s novel is all over the place at times, undisciplined and overstuffed, but it contains extended passages and set pieces describing how movies are made that are entirely worth the ticket.

As an editor, I’ve always been frustrated by the degree to which the gatekeepers of the Entertainment Industrial Complex, as Hanks calls it, bar reporters from watching how a film gets made, limiting inquisitive journalists to a few distant glimpses of the process and then a concocted interchange on the official press junkets. And so I began our conversation at Symphony Space, which was recorded for The New Yorker Radio Hour and is published here in edited form, with my parochial complaint and a discussion of how Hanks sees things from inside.

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https://media.newyorker.com/photos/647124362414c58c2884ed60/master/w_1920,c_limit/Remnick-Tom-Hanks.jpgPhotograph by Lloyd Bishop / NBC / Getty 

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Click the link below for the article:

https://www.newyorker.com/culture/the-new-yorker-interview/tom-hanks-on-the-rewards-and-vicious-reality-of-making-movies?utm_source=pocket_discover

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How to Avoid the Ethical Nightmares of Emerging Technology

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Facebook, which was created in 2004, amassed 100 million users in just four and a half years. The speed and scale of its growth was unprecedented. Before anyone had a chance to understand the problems the social media network could cause, it had grown into an entrenched behemoth.

In 2015, the platform’s role in violating citizens’ privacy and its potential for political manipulation was exposed by the Cambridge Analytica scandal. Around the same time, in Myanmar, the social network amplified disinformation and calls for violence against the Rohingya, an ethnic minority in the country, which culminated in a genocide that began in 2016. In 2021, the Wall Street Journal reported that Instagram, which had been acquired by Facebook in 2012, had conducted research showing that the app was toxic to the mental health of teenage girls.

Defenders of Facebook say that these impacts were unintended and unforeseeable. Critics claim that, instead of moving fast and breaking things, social media companies should have proactively avoided ethical catastrophe. But both sides agree that new technologies can give rise to ethical nightmares, and that should make business leaders — and society — very, very nervous.

We are at the beginning of another technological revolution, this time with generative AI — models that can produce text, images, and more. It took just two months for OpenAI’s ChatGPT to pass 100 million users. Within six months of its launch, Microsoft released ChatGPT-powered Bing; Google demoed its latest large language model (LLM), Bard; and Meta released LLaMA. ChatGPT-5 will likely be here before we know it. And unlike social media, which remains largely centralized, this technology is already in the hands of thousands of people. Researchers at Stanford recreated ChatGPT for about $600 and made their model, called Alpaca, open-source. By early April, more than 2,400 people had made their own versions of it.

While generative AI has our attention right now, other technologies coming down the pike promise to be just as disruptive. Quantum computing will make today’s data crunching look like kindergarteners counting on their fingers. Blockchain technologies are being developed well beyond the narrow application of cryptocurrency. Augmented and virtual reality, robotics, gene editing, and too many others to discuss in detail also have the potential to reshape the world for good or ill.

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https://hbr.org/resources/images/article_assets/2023/05/01_BI_TECH_BLACKMAN_hero-1536x840.jpgCarolina Niño

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Click the link below for the article:

https://hbr.org/2023/05/how-to-avoid-the-ethical-nightmares-of-emerging-technology?utm_source=pocket_discover

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Honoring and Remembering Memorial Day

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The 5 Dumbest Things We Keep Spending Too Much Money On

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You’ve done what you can to cut back your spending.

You brew coffee at home, you don’t walk into Target and you refuse to order avocado toast. (Can you sense my millennial sarcasm there?)

But no matter how cognizant you are of your spending habits, you’re still stuck with those inescapable monthly bills. You know which ones we’re talking about rent, utilities, cell phone bill, insurance, groceries…

So if you’re ready to stop paying them, follow these moves…

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https://partners.thepennyhoarder.com/app/uploads/2022/06/gettyimages-76537922-170667a.jpg

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Click the link below for the article:

https://partners.thepennyhoarder.com/spending-too-much-prt/?aff_id=342&utm_source=firefox&utm_medium=paidnative&aff_sub3=spending-too-much+money-drain

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Why Waking Up Earlier Isn’t Necessarily Better

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A favorite trope of sleep research is to divide the entire human population into two cute, feathered categories: early birds (also called larks) and night owls. Often, these studies link people’s natural sleep patterns—called their chronotype—with some waking behavior or personality trait.

It doesn’t take long to see which team more often comes out on top. (Hint: it’s the one that catches the worm.) Research says that early birds are happier, more punctual, do better in school, and share more conservative morals. Night owls are more impulsive, angry, and likely to become cyberbullies; they have shoddier diets and, most critically, are worse at kicking soccer balls.

But can the population really be categorized so neatly? Or is the research painting an incomplete and overly moralistic picture?

A study published May 24 in PLOS ONE by a group of Polish researchers takes a fresh look at the long-established link between being an early riser and being conscientious by examining a separate but potentially important variable that might underlie the link: being religious. The team found that people who woke up earlier tended to score higher on all dimensions of religiosity, leading them to conclude that being religious could help explain why early risers are more conscientious and more satisfied overall. “Morningness” might be closely aligned with godliness, in part because certain religions practice early-morning prayer—so religion could be driving the link between rising early and being conscientiousness.

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https://api.time.com/wp-content/uploads/2023/05/early-wakers-not-superior.jpg

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Click the link below for the article:

https://time.com/6282822/better-to-be-morning-person/?utm_source=pocket_discover

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The Horrific Content a Kenyan Worker Had to See While Training ChatGPT

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Richard Mathenge felt he’d landed the perfect role when he started training OpenAI’s GPT model in 2021. After years of working in customer service in Nairobi, Kenya, he was finally involved in something that felt meaningful and held a future for him. But the position left him scarred. For nine hours per day, five days a week, Mathenge led a team that taught the A.I. model about explicit content. The goal was to train it so it could keep such things away from users. Today, it remains stuck with him.

While at work, Mathenge and his team repeatedly viewed explicit text and labeled it for the model. They could categorize the content, the provenance of which was unclear, as child sexual abuse material, erotic sexual content, illegal, nonsexual, or some other options. Much of what they read horrified them. One passage, Mathenge said, described a father having sex with an animal in front of his child; others involved scenes of child rape. Some were so offensive Mathenge refused to speak of them. “Unimaginable,” he told me.

The type of work Mathenge performed has been crucial for bots like ChatGPT and Google’s Bard to function and to feel so magical. But the human cost of the effort been widely overlooked. In a process called “Reinforcement Learning from Human Feedback,” or RLHF, bots become smarter as humans label content, teaching them how to optimize based on that feedback. A.I. leaders, including OpenAI’s Sam Altman, have praised the practice’s technical effectiveness, yet they rarely talk about the cost some humans pay to align the A.I. systems with our values. Mathenge and his colleagues were on the business end of that reality.

Mathenge earned a degree from Nairobi’s Africa Nazarene University in 2018 and quickly got to work in the city’s technology sector. In 2021, he applied for work with Sama, an A.I. annotation service that’s worked for companies like OpenAI. After Sama hired Mathenge, it put him to work labeling LiDAR images for self-driving cars. He’d review the images and pick out people, other vehicles, and objects, helping the models better understand what they encountered on the road.

When that project wrapped, Mathenge was transferred to work on OpenAI’s models. And there, he encountered the disturbing texts. OpenAI told me it believed it was paying its Sama contractors $12.50 per hour, but Mathenge says he and his colleagues earned approximately $1 per hour and sometimes less. Spending their days steeped in depictions of incest, bestiality, and other explicit scenes, the team began growing withdrawn.

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https://compote.slate.com/images/193ace2b-811f-452e-9ce7-908f5a0fcbcb.jpeg?crop=2998%2C1999%2Cx1%2Cy0&width=1280It looms. STEFANI REYNOLDS/Getty Images

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Click the link below for the article:

https://slate.com/technology/2023/05/openai-chatgpt-training-kenya-traumatic.html?utm_source=pocket_discover_technology

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