ResidentialBusiness

People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students’ work reflects their own understanding; consumers want to know whether an advertisement was written by a human or a machine. Writing rules to govern the use of AI-generated content is relatively easy. Enforcing them depends on something much harder: reliably detecting whether a piece of text was generated by artificial intelligence. Some studies have investigated whether humans can detect AI-generated text. For example, people who themselves use AI writing tools heavily have been shown to accurately detect AI-written text. A panel of human evaluators can even outperform automated tools in a controlled setting. However, such expertise is not widespread, and individual judgment can be inconsistent. Institutions that need consistency at a large scale therefore turn to automated AI text detectors. The problem of AI text detection The basic workflow behind AI text detection is easy to describe. Start with a piece of text whose origin you want to determine. Then apply a detection tool, often an AI system itself, that analyzes the text and produces a score, usually expressed as a probability, indicating how likely the text is to have been AI-generated. Use the score to inform downstream decisions, such as whether to impose a penalty for violating a rule. This simple description, however, hides a great deal of complexity. It glosses over a number of background assumptions that need to be made explicit. Do you know which AI tools might have plausibly been used to generate the text? What kind of access do you have to these tools? Can you run them yourself, or inspect their inner workings? How much text do you have? Do you have a single text or a collection of writings gathered over time? What AI detection tools can and cannot tell you depends critically on the answers to questions like these. There is one additional detail that is especially important: Did the AI system that generated the text deliberately embed markers to make later detection easier? These indicators are known as watermarks. Watermarked text looks like ordinary text, but the markers are embedded in subtle ways that do not reveal themselves to casual inspection. Someone with the right key can later check for the presence of these markers and verify that the text came from a watermarked AI-generated source. This approach, however, relies on cooperation from AI vendors and is not always available. How AI text detection tools work One obvious approach is to use AI itself to detect AI-written text. The idea is straightforward. Start by collecting a large corpus, meaning collection of writing, of examples labeled as human-written or AI-generated, then train a model to distinguish between the two. In effect, AI text detection is treated as a standard classification problem, similar in spirit to spam filtering. Once trained, the detector examines new text and predicts whether it more closely resembles the AI-generated examples or the human-written ones it has seen before. The learned-detector approach can work even if you know little about which AI tools might have generated the text. The main requirement is that the training corpus be diverse enough to include outputs from a wide range of AI systems. But if you do have access to the AI tools you are concerned about, a different approach becomes possible. This second strategy does not rely on collecting large labeled datasets or training a separate detector. Instead, it looks for statistical signals in the text, often in relation to how specific AI models generate language, to assess whether the text is likely to be AI-generated. For example, some methods examine the probability that an AI model assigns to a piece of text. If the model assigns an unusually high probability to the exact sequence of words, this can be a signal that the text was, in fact, generated by that model. Finally, in the case of text that is generated by an AI system that embeds a watermark, the problem shifts from detection to verification. Using a secret key provided by the AI vendor, a verification tool can assess whether the text is consistent with having been generated by a watermarked system. This approach relies on information that is not available from the text alone, rather than on inferences drawn from the text itself. AI engineer Tom Dekan demonstrates how easily commercial AI text detectors can be defeated. Limitations of detection tools Each family of tools comes with its own limitations, making it difficult to declare a clear winner. Learning-based detectors, for example, are sensitive to how closely new text resembles the data they were trained on. Their accuracy drops when the text differs substantially from the training corpus, which can quickly become outdated as new AI models are released. Continually curating fresh data and retraining detectors is costly, and detectors inevitably lag behind the systems they are meant to identify. Statistical tests face a different set of constraints. Many rely on assumptions about how specific AI models generate text, or on access to those models’ probability distributions. When models are proprietary, frequently updated or simply unknown, these assumptions break down. As a result, methods that work well in controlled settings can become unreliable or inapplicable in the real world. Watermarking shifts the problem from detection to verification, but it introduces its own dependencies. It relies on cooperation from AI vendors and applies only to text generated with watermarking enabled. More broadly, AI text detection is part of an escalating arms race. Detection tools must be publicly available to be useful, but that same transparency enables evasion. As AI text generators grow more capable and evasion techniques more sophisticated, detectors are unlikely to gain a lasting upper hand. Hard reality The problem of AI text detection is simple to state but hard to solve reliably. Institutions with rules governing the use of AI-written text cannot rely on detection tools alone for enforcement. As society adapts to generative AI, we are likely to refine norms around acceptable use of AI-generated text and improve detection techniques. But ultimately, we’ll have to learn to live with the fact that such tools will never be perfect. Ambuj Tewari is a professor of statistics at the University of Michigan. This article is republished from The Conversation under a Creative Commons license. Read the original article. View the full article

Do you share your innermost thoughts with ChatGPT? You might want to think twice—or at least change your settings fast. View the full article

Below, Nicholas Thompson shares five key insights from his new book, The Running Ground: A Father, a Son, and the Simplest of Sports. Thompson is CEO of The Atlantic. In his time as CEO, the company has seen record subscriber growth. Before this role, he was editor-in-chief of Wired magazine. He is also a former contributor for CBS News and has previously served as editor. As a runner, he set the American record for men ages 45-plus in the 50K race. What’s the big idea? Running has the capacity to show us what we’re made of and help us grow beyond our limits—both as we race ahead on the track and in life. Struggle, aging, and even trauma can become engines of transformation if we learn how best to keep moving forward. 1. You don’t stop running because you get old. You get old because you stop running. I used to think that you would just get better and better with age until you’re about 28, and then you would get worse and worse. But as I’ve gotten older, I’ve learned that isn’t true. In fact, I ran my fastest marathon at age 44. Of course, there are certain things that decline in a runner’s life, as they do for everyone. Over the years, your bone density deteriorates, your VO2 max goes down, and you’re more likely to get a little injured here or there. But while that happens, there are things that get better. We gain mitochondrial efficiency, for example, and most importantly, we get wiser. We have learned more about training. We have learned more about our limits. And not only that, but we can also pick up new habits to do things differently. In some ways, aging is like you’re on a moving sidewalk that is going backwards, but you’re picking up things that allow you to go forward. If you can go the same speed forwards as you’re going backwards, then you run the same time year after year—which is what I did in my thirties. But sometimes, you can actually get better by going forward faster on that sidewalk than it’s pushing you backward—and that’s what I did in my mid-forties. This applies beyond running. I had this conversation with my mother recently: She’s in her mid-seventies, and she said, “Nick, my reflexes are just getting worse and worse with age.” I said, “There are things that are going to make your reflexes worse or worse with age, but what if we tried to go the other direction?” Then I got her out on our front porch and I started tossing her tennis balls, and she started catching them. I tossed them a little more to the side, and it turned out that her reflexes could get better. Yes, aging is real. Unquestionably. There are many forces that slow us down, but what slows us down the most is when we give in and say, “I don’t want to do it today.” When that happens, that’s when you really start to slow down. That’s when you start to age. What you should do is push back as best you can. 2. Most pain is just a prediction. When I was a young runner, I believed that pain was purely physiological. I would exercise, my body would produce lactic acid, and the lactic acid would somehow trigger fatigue or your muscles would micro-tear and that would trigger pain signals. But as I got older, I read more studies, thought more, read the work of people like Alex Hutchinson and Tim Noakes, and realized that pain is something quite different when you run a race. Pain is weird. It moves all over the body. Maybe I’ll feel it in my calf and then my quad, and then I’ll feel like I have an upset stomach or I’m nauseous, or dizzy, or experience general malaise. Maybe my shoulder will hurt. What’s going on? It’s not that there’s actually something wrong in my quad and then my knees and then my stomach. This is my brain having a conversation with the rest of my body. The brain is worried about losing homeostasis. It doesn’t think that I can run this speed for this long. Maybe it doesn’t think I can run 26.2 miles on this hot day, at this particular speed, and so it’s trying to slow me down because it doesn’t want to enter a state where it could be at risk. During a race, pain is the brain trying to convince the body to slow down. If that’s true, what does that mean about training? First, you should try to reset your brain’s expectations so that it doesn’t get so scared. When I’m in a marathon training cycle, I know that I can’t run every day as hard as I’m going to run on race day. But I try to stress each system in the body more on one day during the training cycle than I plan to on race day. Maybe that means using a single training day to run more than 26.2 miles. Maybe I run 20 miles while dehydrated. Maybe I will run 15 miles down a mountain to put extra stress on the quads. It’s a way of getting the brain to understand that those levels of pain do not put me at risk. There are other things you can do, too. What resets the brain’s expectations when it’s hot? I like to rub ice on my wrist. This makes me feel a little cooler and a little better, but it’s also a way of resetting my brain’s expectations of what the temperature risks are. The great runner Eliud Kipchoge smiles when he starts to hurt. It’s his way of trying to trick himself into feeling like he’s okay and not worrying so much, and then the pain in the rest of his body can disappear. When running a 100K recently, I banged my toe against a root. My toenail split and stuck up—that hurt. That was real pain. That was physiological pain born of shouting nerve signals. I started to run, and I got really worried that maybe I couldn’t travel the remaining distance. I think it was seven miles maybe, and I told myself I just couldn’t do that. That’s when I started to hurt all over my whole body. Everything felt wrong. But then I got to an aid station, took off my shoe, took off my sock, taped down the bloody toenail, and I realized that my toenail would be fine. Once I’d realized this, my whole body felt better. I didn’t have to worry that something was going to go horribly wrong. This is a good lesson for life. It’s a good reminder that, lots of times, what slows us down is in our own heads. Sometimes you must set an uncomfortable pace. Sometimes you must stress yourself. Whatever it is that you want to be really successful at, you have to go harder than you think you can. You have to use one part of your brain to trick another part of your brain. I call it playing hide and seek with your mind. 3. We all contain hidden versions of ourselves. I started running in high school and joined the indoor track team winter of my sophomore year. Went out and raced the 2-mile a bunch of times, ran 11 minutes and 45 seconds, then 11 minutes and 40 seconds, and at the end of the year, I was still locked in at that pace. At that point, I thought the best I could do would be 11 minutes and 30 seconds for two miles, 5 minutes and 45 seconds each. I knew the splits around the blue track at my high school, but the final race was the New England Championships, and it was hosted at a different school. The track there was a bit different, so when the race began, I didn’t know exactly how fast I was running. I couldn’t make sense of the splits. When I went through a mile, somebody called out 5:25. I thought they were joking, or something was wrong. I didn’t believe I could run 5:25 for a mile . . . but then I finished the race and had run 10:48. I’d taken my time down by 45 seconds. I was able to run what I thought was an unrealistic goal for myself because of the fact I didn’t know how fast I was running. If I had known, I wouldn’t have been able to go that fast. The same process happened 25 years later. When I was 30, in 2005, I ran a marathon at 2 hours and 43 minutes. Shortly thereafter, I was diagnosed with thyroid cancer. I went through a terrifying treatment period. I knew I would survive. It wasn’t the worst kind of cancer, but it was still scary, especially at 30 years old. Afterwards, I felt like I needed to run another marathon. So, two years later I ran the New York City Marathon again in exactly 2 hours and 43 minutes. For the next 11 years, I continued to run marathons at almost exactly 2 hours and 43 minutes. In fact, I had the nickname “Mr. 2-4-3.” But then in my mid-forties, I started training differently. I had a coach who had me train faster, do shorter workouts, do sprints, eat a little differently, and I ended up running at 2 hours and 29 minutes. This was a completely different level of success. Why was I able to run these marathons in 2 hours and 29 minutes in my mid mid-forties, but my personal best was 2 hours and 43 minutes in my late twenties? One day, I was running across the Brooklyn Bridge and realized that I hadn’t gone faster than 2 hours and 43 minutes in my thirties because that’s not what I had wanted. All I had wanted to do was to go as fast as I had run before I got sick. I needed someone to reframe my expectations, to tell me that there was a faster Nick inside of me to help me. That push from my coach helped me understand that I could actually be more than I had been before I was sick. This got me to believe in myself at some deep level, and then I could run it. Sometimes our limits are in our heads. We only think we can go so far. We truly believe that limit, but we have to unlock it to go further. Maybe we can unlock it ourselves. Maybe somebody else unlocks it. There’s a different version locked inside of you who can be found. 4. You can reach transcendence through restraints. I’ve always wanted to reach a level of transcendence—to step outside of the body I live in during the day, to break outside of the Nick whose mind is wired to his desk and to-do list focused. I wanted to feel like I’ve reached a new spiritual plane and a deeper understanding of the world. To feel more at one with the universe, I run up mountains: as the sun comes up, deep in the forest, even losing track of where I am. It’s a beautiful, glorious experience. But as I worked on the book, I realized that there are runners who are reach transcendence in almost the opposite way. I spent a lot of time with an amazing runner named Suprabha Beckjord, who won the 3,100-mile race in Queens, New York, for nine consecutive years. The way that race works is you run around a single block all day, every day. We run clockwise one day, counterclockwise the other. You start at six in the morning with a minute of meditation, and then have to be done by midnight. You go home and sleep until start time the next morning. You return to the track and do it over and over again. The race starts in August and ends in October. One person said, “It’s not a real race unless you have to get your hair cut in it.” One year, somebody had their visa expire in the middle of the race. Suprabha taught me an important lesson. When running around the same block over and over, if you start thinking about your surroundings and what you’re doing, you’ll go crazy. So, you learn mental practices. You learn to imagine that you are a child running in the woods. You learn to escape the boundaries of where you are. You learn to think at a much deeper level. You learn to meditate as you run. I also spent time writing about a runner named Michael Westphal. He lived on Great Cranberry Island, Maine, which has a population of about 40 people. Of that tiny population, six of their people became sub-three-hour marathoners. They ran on the same beautiful two-mile road, back and forth, back and forth, back and forth. Because of the tiny island, because of the tiny community, because of the restraints on what could be done there, they were able to reach a level of excellence. Westphal also taught me by a different kind of constraint. Later in his life, he was diagnosed with Parkinson’s disease. First, he wanted to hide it, found it embarrassing, but then he realized that he loved to run, and he was going to run despite having Parkinson’s. He figured out a way to run with his illness by tying his hands behind his back with string. He learned a whole new way of running. It was a different kind of restraint. It taught him humility and a sense of connection with other runners. He said something beautiful to me: “There’s more to running than just beating people.” You can reach transcendence through restraints. 5. Post-traumatic growth can be a subtle but serious competitive advantage. Not long ago, I was with Arthur Brooks. He writes about happiness for The Atlantic. He’s a real scholar of the field, and I asked him, “Arthur, what’s the number one thing that can make someone happy and content in life?” He said, “Well, it’s a weird one and you can’t really force it.” I said, “Okay, what is it?” And he said, “Get cancer and survive it.” When he said that, a light bulb went off. In my twenties, my running and my work was kind of a mess. As a runner, I was trying to break three hours in the marathon. That had been my father’s goal. He had come close, but not achieved it. I didn’t come close at all. I ran marathon after marathon, sometimes dropping out or walking the second half. As for work, I got fired from my first job in less than an hour. My second job, I was almost fired before I started. I struggled and struggled, then had one brief period of success at a place called The Washington Monthly. But after that, I couldn’t get freelance gigs. I applied for hundreds of jobs in my late twenties. I was making more money as a street musician playing guitar on the L Train than I was as a journalist. In my thirties and forties, everything got better on both those fronts. I ran much faster. My work got much better: great job at Wired, great job with The New Yorker, wonderful job right now helping run The Atlantic. In between, there was when I got thyroid cancer and faced death for the first time in my life. What Arthur Brooks said and what the studies show is that if you stand at the precipice of death and walk away, you take life more seriously afterward. To me, I think what happened was somewhat paradoxical. After my cancer experience, my goals narrowed in some ways. Instead of constantly shooting for the moon and thinking I should have everything all at once, I became more methodical about just doing what I could every day. This is the trick to running successfully, too. Yes, you do absolutely have to push yourself if you want to get better, but the most important part is learning to run every day. No matter what the weather is, no matter how you feel, no matter how much time you have—you just go out and do it. I took that attitude toward running and work. I began asking myself, What is the best thing that I can do today? How can I do my job better today than I did it yesterday? That attitude change came partly from my thyroid cancer journey, but there are different ways people can go through an experience like that. Not just cancer, but medical scares or personal scares. When you come out the other side, you can make choices that lead to more success in whatever you set your mind to. Enjoy our full library of Book Bites—read by the authors!—in the Next Big Idea app. This article originally appeared in Next Big Idea Club magazine and is reprinted with permission. View the full article

Fintech firm Mercury recently dropped some data that made me smile. It ranked the top five coffee shops powering founders in San Francisco based on actual transaction data: Sightglass, CoffeeShop, Equator, Saint Frank, Ritual. I’ve built Octolane with my cofounder, Rafi, from every single one of them. But here’s what the data doesn’t show: the $500,000 investment term sheet I negotiated over a cortado at Cafe Réveille. The $800,000 deal I closed while sitting next to a grad student cramming for finals. The three customers who became friends, then advocates, then our biggest champions, all because we met first over coffee, not Zoom. When I was in high school, I cleaned offices at night, empty offices with ergonomic chairs and standing desks and those motivational posters about “innovation.” Meanwhile, I’m building an AI company worth millions from a wobbly table at a coffee shop, and somehow this feels more real, more honest than any corner office ever could. The distributed office isn’t dead, it just moved to cafés. I wake up at 5 a.m. here in San Francisco, because those three hours before the city stirs are mine. I review what our AI models learned overnight. I write. I think. Then I head to whichever coffee shop matches my energy that day. Saint Frank when I need to focus, since it’s quieter, more intimate. Sightglass when I want that productive hum of energy around me. Equator when I’m meeting someone for the first time and want them to feel comfortable, not intimidated. Rafi, my cofounder and CTO, moved internationally to build this with me. One of our engineers handles the front end from one continent, another tackles the back end from another. So why would I pay $8,000 a month for an office in SoMa (the neighborhood South of Market Street) when I can spend $200 a month on lattes and have the entire city of San Francisco as my workspace? What I’ve Learned Building in Public (Literally) The serendipity factor is real. Last month, I was debugging a particularly nasty prompt engineering issue, trying to get our AI to detect deals in Gmail without false positives. I was muttering to myself (yes, I’m that guy) when someone at the next table leaned over: “Are you working on LLM classification?” Turns out he’s an AI researcher at Anthropic. Twenty minutes later, I had a completely new approach that cut our error rate in half. You can’t engineer that in a conference room. Practical wisdom. Keep your screen visible enough that interesting work attracts curious people, but angle it so you’re not broadcasting sensitive customer data. The sweet spot is showing code or product UIs, technical enough to spark conversations with the right people, general enough to protect privacy. Investors are humans too. The $500,000 investment I mentioned? It happened because I was at Réveille at 3 p.m., and so was he. We were the only two people there. We chatted and he learned more about what I was working on. I showed him our product—not a deck, not a demo, just the actual thing, running, solving a real problem. He saw me working, grinding, building. The next day, the term sheet came through. Later he told me: “I invested because you’re willing to be different and bold to stand out.” What he didn’t say, but I know mattered: Other founders had already told him about the guy who’s always at Réveille, laptop open, building. And when he left that day, I was still there. Midnight founder cafés are a thing now: late-night coffee shop takeovers where founders and engineers gather to build, network, and fuel up on free caffeine, and big AI companies are leaning into it. Cursor’s been running “Café Cursor” pop-ups across San Francisco, New York, Stanford, even Guadalajara, taking over coffee shops for a day, giving out free coffee and those coveted keychains, merch that’s shaped like the tab keyboard key (a nod to the keystroke that accepts Cursor’s AI suggestions). Anthropic did a weeklong “Claude Café” pop-up in New York City’s West Village that drew more than 5,000 people, with their “thinking” hats becoming so viral that people claimed they flew across the country just to get one. These aren’t permanent cafés, they’re pop-up experiences. But that’s exactly the point. They’re recognizing what we already know: The best AI work happens in liminal spaces. Not quite work, not quite social. Somewhere in between. That’s where the guard comes down: You’re not pitching, you’re just talking. And the person debugging next to you might casually mention the fix you’ve been stuck on for a week. And it goes deeper than corporate activations. There’s a founder in the Mission District of San Francisco who literally opened his house as a café after midnight. Just for founders. No tourists, no meetings, just people building. I’ve been there twice. Both times, I left with ideas I couldn’t have found anywhere else. The only AI company that’s actually opened a permanent café? Perplexity, in Seoul. But even they get it! They put a podcast studio and a single computer running their search engine in the basement. The coffee shop isn’t the product. The community is. The Practical Reality (Because Romance Only Gets You So Far) Here’s what they don’t tell you about the coffee shop life: You need three spots minimum. One for deep work (quiet, consistent Wi-Fi, you know the outlet situation). One for meetings (good acoustics, professional-ish vibe, not too loud). One for when the first two are full or you just need a change. Noise-canceling headphones are nonnegotiable. But here’s the thing: I don’t always use them. Sometimes I want to hear the ambient noise, the conversations, the espresso machine. It reminds me that I’m building something for real people, not just for the AI models or the pitch deck. Your burn rate matters. Every dollar matters. An office in San Francisco costs $5,000 to $10,000 minimum. That’s a month of runway. That’s an engineer. That’s 100-plus customer acquisition attempts. So yeah, I’ll take the $5 latte. Time-of-day strategy is everything. I’ve mapped it out. Early morning: Saint Frank or home (deep work, model review, writing) 8 a.m. to noon: Sightglass or Equator (customer calls, team syncs) Noon to 3 p.m.: Avoid peak lunch chaos, take meetings walking or find a quieter spot 3 to 6 p.m.: Ritual or CoffeeShop (energy picks back up, good for creative work) After 6 p.m.: Usually home, but the midnight café if I need the founder energy What Building from Coffee Shops Taught Me About AI There’s a parallel here that keeps hitting me: AI works best when it has context. Every engineer here is building on the idea that AI should understand the full context of your communication, not just isolated data points. Coffee shops give me context. I see how people actually work. I hear what founders are struggling with. I feel the energy when someone closes a deal or the deflation when funding falls through. You can’t get that from a dashboard or a user interview. You have to be there, in it, living it. When I’m prompt engineering at 9 a.m. at Saint Frank, watching the barista dial in the espresso, I’m thinking about patterns. About how humans and machines both learn through repetition, through feedback, through context. The best prompts I’ve written came from coffee shops. The best features we’ve built came from problems I overheard someone complaining about two tables over. The deeper insight is that building in isolation makes you optimize for the wrong things. You optimize for elegance, for technical beauty, for what impresses other engineers. Building in public, literally surrounded by your users, keeps you grounded in what actually matters: Does this solve a real problem for a real person? Building from coffee shops keeps me honest. I can’t hide behind the performance of “founder working in office.” I can’t pretend to be productive when I’m not. If I’m stuck, I’m stuck in public. If I’m building, I’m building where people can see the mess, the mistakes, the reality. We’re trying to replace Salesforce with Octolane. That’s aggressive, maybe delusional. But I’ll tell you this: I’d rather chase it from a coffee shop in the Mission, surrounded by other founders equally delusional and equally committed, than from a sterile office where everyone pretends to have it figured out. How to Actually Make This Work If you’re thinking about ditching the office, here’s what I wish someone had told me: Map your energy to your spaces. Don’t just pick a coffee shop because it’s close. Figure out what work you do best where. I write best at quieter spots. I sell best in energetic spaces. I code best with moderate ambient noise. Become a regular somewhere. Not everywhere, somewhere. One spot where they know your order, where you have your table, where you’re part of the ecosystem. For me, it’s Réveille. That consistency matters when everything else is chaos. Respect the space. Buy something every two to three hours. Tip well. Don’t monopolize tables during peak times. The coffee shop isn’t your free office, it’s a business that’s subsidizing your dream. Honor that. Build relationships, not just networks. That Anthropic engineer? We’re friends now. The investor? We get coffee every few weeks. The other founders? We text each other when we’re heading to a spot. This only works if you’re actually present, actually human, actually building relationships. Know when to go home. Sometimes you need silence. Sometimes you need privacy. Sometimes you need to take a call that can’t happen in public. Don’t force it. The coffee shop is a tool, not a religion. The Launch Is Coming I’ll probably launch our product from a coffee shop. Maybe Saint Frank, maybe Réveille, maybe that midnight café in the Mission. My team will be distributed across the country, asleep in some time zones, working in others. And somehow, we’ll pull it off. Because the best work doesn’t happen in offices. It happens where life happens. Where the coffee is strong, the Wi-Fi is reliable enough, and the person next to you might just have the insight that changes everything. Mercury’s data showed the top five coffee shops powering SF founders. What it didn’t show is why. It’s not the coffee. It’s not even the Wi-Fi. It’s the reminder that you don’t need permission to build something great. You just need conviction, a laptop, and a table. See you at the café. View the full article

Gen Zers, who were practically born with smartphones and iPads in their hands, have grown up completely immersed in the information highway. Therefore, it should come as no big surprise that those born as digital natives—deeply connected to culture, trends, politics, and business—have different ideas about what their contributions to the world should look like. They deeply value work-life balance and they need to feel like the work they do has meaning. Globally, they are the generation most concerned about issues like corruption and inequality. They’re striving to create change—and they’re committed. Still, Gen Zers often get called out for being entitled, lazy, or simply not being driven. However, according to a recent conversation between executive Garry Ridge, former CEO of WD-40, and Simon Sinek, author and thought leader, it’s not a lack of commitment or drive that sets Gen Z apart in the workplace. It’s a well-earned lack of trust in leadership. On his podcast, A Bit of Optimism, Sinek posed a question to his guest about why Gen Z seems to work backward when compared to past generations. Contrary to the old playbook, where employees were expected to work hard and showcase their commitment before getting a raise, a promotion, or other payout, Gen Z needs to see the reward up front. “That could be interpreted as entitlement,” Sinek said. “I understand it as they grew up in a world where there’s no loyalty from the company.” Basically, if a company doesn’t have an employee’s back, should the employee really be expected to hustle for said company? Gen Z doesn’t think so. In his conversation with Sinke, Ridge agreed, noting that the logic is completely understandable, given the generation’s deep distrust of big business. Ridge asserted that companies shouldn’t dismiss these young employees as lazy or unmotivated. Rather, they should work with them to build that essential trust, providing more frequent and clear-cut steps to move up the ladder. “Once upon a time you had these reviews where you were actually looking backward. Well, maybe now the way to go is having steps along the way so you can recognize performance,” Ridge said, using the example of giving employees the opportunity to earn accolades by having check-ins every couple of months to assess performance. Further, Ridge and Sinek agreed that year-end reviews aren’t a great stepping stone, either. And, from that lens, maybe Gen Z is spot-on when it comes to phasing out the old system. “I don’t want to wait 364 days for you to tell me what I should’ve done better or how good I’ve done,” Ridge explained of the Gen Z mindset. “What I want to do is be coached along the way.” Call them lazy and entitled all you want, but Gen Zers, many of them having watched their parents work hard their whole lives with little to show for it financially in their later years, don’t want to hustle without a clear payout. Honestly, who could blame them? View the full article

Ann Godbehere will step down as a director at next year’s annual meetingView the full article

December is here, and another year has blown by. Chances are, you’re going to get some time off for the holidays. If so, you may have a week(-ish) to recharge before you have to ramp back up in January. In order to get the most out of your time off, it would be ideal if you could unplug from work completely to give your mind a rest and to focus on family, friends, and yourself. There are a few things you can do to prepare now that will help a lot and will also make your transition back to the office go smoothly. Close as many tasks as possible Research going back almost 100 years finds that when you have a task to complete, you are highly motivated to finish it. It stays active in your memory, and you seek opportunities to get it done. That tendency is normally a good one. But on a break, it is a factor that will drive your mind back to the workplace—even when you’re supposed to be relaxing. To give yourself the best chance to chill, see if you can close out key tasks before you leave. At a minimum, reach a good stopping place on tasks so that you don’t feel like you have left them incomplete. You should also avoid starting any big new projects that will hang over the break. Instead, focus on polishing off as many unfinished things as possible. Comment your work If you take an introductory programming class, the instructors will drill into your head that you should “comment your code” as you go along. The aim is to write down a glossary of key variable names, the purpose of sections of code, and any other information about critical data structures, functions, or procedures that will remind you what the code was about. The idea is that the whole structure seems obvious while you’re writing it, but if you have to return to that code weeks, months, or even years later, you will have no recollection of what you did. So, leaving comments will enable you to reconstruct the purpose of that section of code. The same holds true for many of the elements on your current to-do list. When you’re in the office daily, you can recall from one day to the next the purpose of various meetings, the status of key projects, and the reasons for decisions that were made about ongoing work. Even after a week off, some of those details may get fuzzy. Before you head out for vacation, take some time to make notes on the core elements of ongoing projects. Include little reminders of why things are being done the way they are. Make sure you have good notes to remind you of meetings the first week or two you’re back from break. It takes extra time to add these notes (particularly if you’re not used to doing so), but you’ll thank yourself later. Also, the AI systems powering many email systems are now trying to add relevant documents and notes to meetings on your calendar. That is great, but take the time to see whether the documents and other information included in the meetings on your calendar are actually relevant to what you need to work on. If not, add some information yourself to make sure you’re ready after you get back. Check in with your team If you really want to be able to relax, check in with all of your team members the week before you head out. You probably aren’t in complete control of every project you’re working on. When you talk with your team, find out if there are any major crises brewing that you’ll need to address when you get back. If there is anything you can do to help with those before the vacation, prioritize that. In addition, get early warning about any last-minute tasks you may be asked to do before heading out. You don’t want to feel pressure to finish something on your way out the door to start your break. Most people don’t do their best work in such a rushed situation. If you have any direct reports, encourage them to relax, recharge, and renew during the break. The people who work for you probably want you to have a good impression of their work, and some of them may feel like you’ll appreciate them doing additional work over the holidays. Everyone needs downtime. A word from you—assuring them that the best thing they can do during the holiday break is to put their work aside—will go a long way toward helping your team come back feeling refreshed. Don’t forget your vacation message You should do your best to avoid checking email over the break. It can be tempting to find out what has come in, but once you start checking, you run the risk of going down a rabbit hole that can eat up several hours of your precious relaxation time. Instead, before you head out the door, take advantage of the tools in your email system to leave an out-of-office message. Lots of people do that routinely—but if you have resisted so far, it is time to give in. If people know you’re not going to be responding to messages until the new year, you’re not under any pressure to get them a response faster. Of course, if you’re in a business in which emergencies can arise, make sure key individuals and clients have a way to reach you should something serious go wrong. But otherwise, structure your communication channels so that there is no need to look at anything until after you get back. View the full article

Despite concerns, politicians continue to use Elon Musk’s platform in search of a ‘civilised debate’ with constituentsView the full article

Concern over rural economies as distilleries left with a surplus that has forced some to pause or scale back productionView the full article

It’s the detail of the new Employment Rights Act that will matter — and the timingView the full article

Tax fraud charges escalate schism within Agnelli dynasty as troubles mount across billionaire’s business empire View the full article

Growth raises concerns about underwriting and risk management at fast-expanding groupsView the full article

Investment-grade borrowers have issued $1.7tn of bonds this year, closing in on 2020s Covid debt rushView the full article

From coups to separatist strife, İmralı has mirrored the nation’s struggles and may help to reimagine its future View the full article

Cheaper areas show more resilience in capital’s ‘two-speed market’ View the full article

The high priests of Silicon Valley and Wall Street are beginning to acknowledge the excesses of Big Tech valuationsView the full article

It used to be the most wonderful time of year for the retail and hospitality sectors, but consumer behaviour is shifting View the full article

Making a clip from a video in just a few minutes is easier than you might think. First, you’ll need a user-friendly video editing platform equipped with AI tools that simplify the process. By uploading your video in a compatible format, you can quickly identify key moments and customize your clip with various templates and effects. Once you’re satisfied with your creation, exporting it in high-resolution MP4 format allows for seamless sharing. Discover how these steps can improve your video projects. Key Takeaways Utilize AI-powered editing tools to automatically identify standout moments in your video for quick clipping. Upload your video file to a compatible platform using drag-and-drop or the upload button for ease. Trim and edit your video using customizable templates and effects to enhance storytelling and maintain brand consistency. Export your final clip in high-resolution MP4 format for optimal sharing across social media platforms. Use one-click publishing options to share your clip instantly and leverage scheduling features for organized content distribution. Understanding the Basics of Video Clipping When you want to create a clip from a video, it’s essential to understand the fundamentals of video clipping. This process involves selecting specific segments to highlight key moments, making it easier to engage audiences. To clip a YouTube video, start by importing your footage into a video editing platform. You’ll use intuitive tools to select the segment you want, effectively figuring out how to cut a part of a video. Many platforms offer options to customize your clip with titles and changes. If you prefer a simpler approach, you can likewise trim online YouTube videos. Utilizing free AI video editing tools can help identify standout moments, streamlining your clipping process as well as maintaining the original quality. Utilizing AI-Powered Editing Tools AI-powered editing tools are transforming how you create video clips by automating the identification of standout moments. With models that efficiently analyze content, these tools can repurpose your videos quickly, ensuring you capture the most engaging parts with minimal effort. AI Clipping Models Utilizing advanced clipping models can transform the way you edit video content, making the process faster and more efficient. AI-powered clipping models, like ClipAnything, analyze your footage to create engaging short clips with just one click. These tools identify automatic highlights by recognizing visual, audio, and sentiment cues, which helps eliminate dull segments as well as enhancing storytelling. With an impressive boost in video creation efficiency—reportedly up to 5x faster—these models are perfect for creators aiming to produce content quickly. They likewise guarantee accessibility with over 97% accuracy in automatic captioning, supporting multiple languages for global reach. Automated Content Repurposing The process of automated content repurposing utilizes the strength of AI-powered editing tools to maximize the value of your video assets. Tools like OpusClip analyze your footage and generate highlights, letting you know how to take a clip from a YouTube video effortlessly. With features such as one-click clip creation in the ClipAnything model, you can create engaging snippets from sports, interviews, or explainer videos. These AI tools can likewise add captions with over 97% accuracy, making content accessible. Step-by-Step Guide to Uploading Your Video To start uploading your video, you need to access the video editor on your chosen platform and make sure you have the right permissions. Click the upload button to select your video file from your device, or simply drag and drop it into the designated area, keeping in mind the maximum file length. Additionally, check that your video is in a compatible format, as this will make the upload process smoother and more efficient. Video Upload Process When you’re ready to upload your video, accessing the video uploading tool on your chosen platform is the first step. Most platforms allow you to upload videos up to one hour long directly from your device. You can use the drag-and-drop functionality, which works seamlessly on both desktop and mobile devices. Once your video is uploaded, you’ll see it on the timeline, where you can immediately start editing or trimming. This is how to cut a video effectively. The interface offers intuitive handle movements for precise adjustments, making it easy to create a video clip short. After editing, you can instantly download the new clip in high-resolution MP4 format, perfect for sharing or using on a clip website or to create a YouTube clip. Supported File Formats Comprehending the supported file formats for uploading your video is crucial for a smooth editing experience. Common formats include MP4, AVI, MOV, and WMV, which guarantee compatibility with various devices and platforms. When using a YouTube video clipper, you’ll want to upload files in these formats for peak performance. To upload, just drag and drop your file into the designated area or click the upload button. Be mindful of the maximum file size, which often caps around 1 GB or an hour in length. For the best results, keep your video resolution at 1080p or 720p. If you encounter error messages about unsupported file formats, you may need to convert your video before learning how to clip a video or how to save clips from youtube. Customizing Your Clip With Templates and Effects Customizing your video clips with templates and effects is essential for creating engaging content that resonates with your audience. Utilize customizable video templates to maintain brand consistency across platforms like TikTok, Instagram, and YouTube. Implement pre-designed effects and transitions to improve storytelling and keep your audience captivated. Aspect Details Templates Maintain brand identity Effects & Transitions Add dynamic elements for engagement AI Tools Automatically apply captions for professionalism Emojis & Graphics Boost viewer interaction Optimization Adjust aspect ratios for various platforms These strategies help you optimize your video clips, ensuring they look great anywhere during time savings and improving viewer experience. Exporting and Sharing Your Final Clip Once you’ve finished editing your video, exporting the final clip is a crucial step that directly impacts its quality. You can export your clip in high-resolution MP4 format, which is ideal for various platforms. In terms of exporting and sharing your final clip, make use of the one-click publishing feature to post seamlessly across different social media channels. Furthermore, you can schedule your clips for future posting, keeping your content calendar organized. If you’re wondering how to save a clip of a YouTube video or how to crop the length of a video, these features simplify the process. The platform likewise provides smart posting recommendations and performance analytics to help you track engagement metrics effectively. Tips for Enhancing Engagement With Your Clips To effectively improve engagement with your clips, consider utilizing AI-powered tools that automatically cut your video and generate highlights. This guarantees you capture the most engaging moments, amplifying audience retention. When figuring out how to take clips from YouTube, remember to optimize them for different social media platforms by adjusting aspect ratios, adding platform-specific titles, and using relevant hashtags for increased visibility. Incorporating dynamic storytelling techniques, such as B-Roll and smooth shifts, can greatly heighten visual appeal. Furthermore, regularly analyze audience engagement metrics to identify which clips resonate most with viewers. Finally, use interactive features like polls during live streams to encourage viewer participation and cultivate a sense of community around your content, ultimately boosting engagement. Frequently Asked Questions How Do I Split a Video Into 1 Minute Parts? To split a video into 1-minute parts, use a video editing tool that features a timeline. You can set specific cut points by dragging handlebars or utilizing the scissors tool. Many online editors allow you to input the desired segment length, making it straightforward. After marking the start and end points for each segment, you can download each one individually, ensuring they’re all exactly one minute long for easy access and organization. How Do I Cut a Clip From a Long Video? To cut a clip from a long video, start by uploading it to a video editing tool that supports trimming. Use the timeline interface to adjust handlebars or enter specific timestamps to eliminate unwanted sections. Once you’ve made the cuts, download your newly trimmed clip as you keep the original intact. Some tools additionally let you mute audio or add a new soundtrack, so consider enhancing the clip’s impact for better presentation. How to Get Clips From a Long Video? To get clips from a long video, you can use AI-powered editing tools that simplify the process. These tools analyze your footage and generate engaging clips automatically. You can likewise utilize highlight features to extract the best moments, cutting out dull segments. For manual adjustments, straightforward trimming tools let you upload videos and set precise lengths. Furthermore, resizing features guarantee your clips are optimized for various social media platforms, enhancing viewer experience. How to Speed up Just a Part of a Video? To speed up a specific part of a video, use editing software with timeline controls. Select the segment you want to adjust, and apply a speed change using the software’s features, like time remapping. Be certain to check that the audio syncs properly; many tools help adjust pitch automatically. After making these changes, preview the video to guarantee smooth shifts and make any necessary tweaks for a polished final product. Conclusion To conclude, creating a video clip in minutes is achievable through user-friendly platforms and AI tools. By following the steps of uploading your video, utilizing automatic clipping features, and customizing your content with templates and effects, you can improve your clips considerably. Finally, exporting in high-resolution MP4 format and sharing across social media guarantees maximum reach. With these techniques, you can efficiently produce engaging video content that resonates with your audience. Image via Google Gemini This article, "How to Make a Clip From a Video in Minutes" was first published on Small Business Trends View the full article

Making a clip from a video in just a few minutes is easier than you might think. First, you’ll need a user-friendly video editing platform equipped with AI tools that simplify the process. By uploading your video in a compatible format, you can quickly identify key moments and customize your clip with various templates and effects. Once you’re satisfied with your creation, exporting it in high-resolution MP4 format allows for seamless sharing. Discover how these steps can improve your video projects. Key Takeaways Utilize AI-powered editing tools to automatically identify standout moments in your video for quick clipping. Upload your video file to a compatible platform using drag-and-drop or the upload button for ease. Trim and edit your video using customizable templates and effects to enhance storytelling and maintain brand consistency. Export your final clip in high-resolution MP4 format for optimal sharing across social media platforms. Use one-click publishing options to share your clip instantly and leverage scheduling features for organized content distribution. Understanding the Basics of Video Clipping When you want to create a clip from a video, it’s essential to understand the fundamentals of video clipping. This process involves selecting specific segments to highlight key moments, making it easier to engage audiences. To clip a YouTube video, start by importing your footage into a video editing platform. You’ll use intuitive tools to select the segment you want, effectively figuring out how to cut a part of a video. Many platforms offer options to customize your clip with titles and changes. If you prefer a simpler approach, you can likewise trim online YouTube videos. Utilizing free AI video editing tools can help identify standout moments, streamlining your clipping process as well as maintaining the original quality. Utilizing AI-Powered Editing Tools AI-powered editing tools are transforming how you create video clips by automating the identification of standout moments. With models that efficiently analyze content, these tools can repurpose your videos quickly, ensuring you capture the most engaging parts with minimal effort. AI Clipping Models Utilizing advanced clipping models can transform the way you edit video content, making the process faster and more efficient. AI-powered clipping models, like ClipAnything, analyze your footage to create engaging short clips with just one click. These tools identify automatic highlights by recognizing visual, audio, and sentiment cues, which helps eliminate dull segments as well as enhancing storytelling. With an impressive boost in video creation efficiency—reportedly up to 5x faster—these models are perfect for creators aiming to produce content quickly. They likewise guarantee accessibility with over 97% accuracy in automatic captioning, supporting multiple languages for global reach. Automated Content Repurposing The process of automated content repurposing utilizes the strength of AI-powered editing tools to maximize the value of your video assets. Tools like OpusClip analyze your footage and generate highlights, letting you know how to take a clip from a YouTube video effortlessly. With features such as one-click clip creation in the ClipAnything model, you can create engaging snippets from sports, interviews, or explainer videos. These AI tools can likewise add captions with over 97% accuracy, making content accessible. Step-by-Step Guide to Uploading Your Video To start uploading your video, you need to access the video editor on your chosen platform and make sure you have the right permissions. Click the upload button to select your video file from your device, or simply drag and drop it into the designated area, keeping in mind the maximum file length. Additionally, check that your video is in a compatible format, as this will make the upload process smoother and more efficient. Video Upload Process When you’re ready to upload your video, accessing the video uploading tool on your chosen platform is the first step. Most platforms allow you to upload videos up to one hour long directly from your device. You can use the drag-and-drop functionality, which works seamlessly on both desktop and mobile devices. Once your video is uploaded, you’ll see it on the timeline, where you can immediately start editing or trimming. This is how to cut a video effectively. The interface offers intuitive handle movements for precise adjustments, making it easy to create a video clip short. After editing, you can instantly download the new clip in high-resolution MP4 format, perfect for sharing or using on a clip website or to create a YouTube clip. Supported File Formats Comprehending the supported file formats for uploading your video is crucial for a smooth editing experience. Common formats include MP4, AVI, MOV, and WMV, which guarantee compatibility with various devices and platforms. When using a YouTube video clipper, you’ll want to upload files in these formats for peak performance. To upload, just drag and drop your file into the designated area or click the upload button. Be mindful of the maximum file size, which often caps around 1 GB or an hour in length. For the best results, keep your video resolution at 1080p or 720p. If you encounter error messages about unsupported file formats, you may need to convert your video before learning how to clip a video or how to save clips from youtube. Customizing Your Clip With Templates and Effects Customizing your video clips with templates and effects is essential for creating engaging content that resonates with your audience. Utilize customizable video templates to maintain brand consistency across platforms like TikTok, Instagram, and YouTube. Implement pre-designed effects and transitions to improve storytelling and keep your audience captivated. Aspect Details Templates Maintain brand identity Effects & Transitions Add dynamic elements for engagement AI Tools Automatically apply captions for professionalism Emojis & Graphics Boost viewer interaction Optimization Adjust aspect ratios for various platforms These strategies help you optimize your video clips, ensuring they look great anywhere during time savings and improving viewer experience. Exporting and Sharing Your Final Clip Once you’ve finished editing your video, exporting the final clip is a crucial step that directly impacts its quality. You can export your clip in high-resolution MP4 format, which is ideal for various platforms. In terms of exporting and sharing your final clip, make use of the one-click publishing feature to post seamlessly across different social media channels. Furthermore, you can schedule your clips for future posting, keeping your content calendar organized. If you’re wondering how to save a clip of a YouTube video or how to crop the length of a video, these features simplify the process. The platform likewise provides smart posting recommendations and performance analytics to help you track engagement metrics effectively. Tips for Enhancing Engagement With Your Clips To effectively improve engagement with your clips, consider utilizing AI-powered tools that automatically cut your video and generate highlights. This guarantees you capture the most engaging moments, amplifying audience retention. When figuring out how to take clips from YouTube, remember to optimize them for different social media platforms by adjusting aspect ratios, adding platform-specific titles, and using relevant hashtags for increased visibility. Incorporating dynamic storytelling techniques, such as B-Roll and smooth shifts, can greatly heighten visual appeal. Furthermore, regularly analyze audience engagement metrics to identify which clips resonate most with viewers. Finally, use interactive features like polls during live streams to encourage viewer participation and cultivate a sense of community around your content, ultimately boosting engagement. Frequently Asked Questions How Do I Split a Video Into 1 Minute Parts? To split a video into 1-minute parts, use a video editing tool that features a timeline. You can set specific cut points by dragging handlebars or utilizing the scissors tool. Many online editors allow you to input the desired segment length, making it straightforward. After marking the start and end points for each segment, you can download each one individually, ensuring they’re all exactly one minute long for easy access and organization. How Do I Cut a Clip From a Long Video? To cut a clip from a long video, start by uploading it to a video editing tool that supports trimming. Use the timeline interface to adjust handlebars or enter specific timestamps to eliminate unwanted sections. Once you’ve made the cuts, download your newly trimmed clip as you keep the original intact. Some tools additionally let you mute audio or add a new soundtrack, so consider enhancing the clip’s impact for better presentation. How to Get Clips From a Long Video? To get clips from a long video, you can use AI-powered editing tools that simplify the process. These tools analyze your footage and generate engaging clips automatically. You can likewise utilize highlight features to extract the best moments, cutting out dull segments. For manual adjustments, straightforward trimming tools let you upload videos and set precise lengths. Furthermore, resizing features guarantee your clips are optimized for various social media platforms, enhancing viewer experience. How to Speed up Just a Part of a Video? To speed up a specific part of a video, use editing software with timeline controls. Select the segment you want to adjust, and apply a speed change using the software’s features, like time remapping. Be certain to check that the audio syncs properly; many tools help adjust pitch automatically. After making these changes, preview the video to guarantee smooth shifts and make any necessary tweaks for a polished final product. Conclusion To conclude, creating a video clip in minutes is achievable through user-friendly platforms and AI tools. By following the steps of uploading your video, utilizing automatic clipping features, and customizing your content with templates and effects, you can improve your clips considerably. Finally, exporting in high-resolution MP4 format and sharing across social media guarantees maximum reach. With these techniques, you can efficiently produce engaging video content that resonates with your audience. Image via Google Gemini This article, "How to Make a Clip From a Video in Minutes" was first published on Small Business Trends View the full article

Danish company will be first to market with oral obesity treatment but rival Eli Lilly is not far behind View the full article

President says he plans to meet defence contractors in Florida next week View the full article

For most of my career at L’Oréal, I sold confidence in a tube: lipstick. But lipstick isn’t just about applying color to your lips. It’s about identity. Ritual. Power. Beauty has never been superficial. It’s always been about self-esteem, self-confidence, and self-expression, knowing that how you’re feeling inside is reflected on the outside. Today, the boldest expression of that confidence comes from beyond the makeup bag: It’s a full night’s sleep working with a skincare routine, balanced hormones supporting a healthy glow, nutrients fueling both energy and radiance, and gut health supporting complexion. The truth is simple: Health is the new lipstick. Health amplifies beauty, and beauty reflects health. HEALTH AND BEAUTY: ONE SYSTEM Beauty and health have always been collaborators, even when industries treated them separately. Both are rooted in science, innovation, and empathy. And both rely on trust, with the aim of helping people feel good in their bodies and confident in their lives. It’s not a coincidence that the same ingredients work in products from both sectors. Hyaluronic acid hydrates skin while supporting joint comfort and gum health. Collagen strengthens hair, nails, skin, and bones. Omega-3s reduce inflammation that affects both your complexion and your cardiovascular system. Vitamin C brightens skin while boosting immunity. Consumers already see what brands are beginning to acknowledge: Health and beauty are inseparable. Their retinol serum sits next to their vitamins in the medicine cabinet. They use SPF and track their vitamin D. They meditate and hydrate, move their bodies and manage stress—not as separate rituals, but as one integrated practice of self-care. Younger generations, especially Gen Z, are leading this shift. For them, wellness is identity and self-expression. Their routines blend skincare with supplements, mindfulness with makeup. They don’t distinguish between looking good and feeling good—both are expressions of confidence and authenticity. This mindset is reshaping how the health and beauty industries must operate, not just as parallel markets, but as two sectors converging into a single wellness ecosystem. A CALL-TO-ACTION FOR BRANDS It’s time for us not to redefine wellness but embrace it in its entirety. Our consumers aren’t just investing in their well-being, they’re investing in confidence, energy, and vitality that can’t be replicated by the latest shade. That means that as leaders of health, wellness, and beauty brands, we must: 1.Celebrate holistic confidence. Emphasize that outer beauty and inner well-being are inseparable pieces of the same puzzle. 2. Invest in inclusive science. Diverse clinical research ensures that efficacy and safety reflect every skin tone, identity, and body type—and empowers each consumer’s sense of self. 3. Measure what matters. Let’s show impact not just in numbers, but in the confidence, comfort, and care we help people achieve. 4. Align, not compare. Beauty and health brands can share insights, language, and purpose to meet people where their needs intersect. As brands, we should be guided by the consistent actions consumers follow when developing new products: fueling their body with the right nutrients, getting a good night’s sleep, managing pain before it interferes with life, and yes, applying that favorite shade of lipstick before stepping out the door. When health and beauty work in harmony, confidence isn’t just worn, it’s lived. Nathalie Gerschtein is the CEO USA and president North America of Haleon. View the full article

More than half of those contacted by British Chambers of Commerce criticised the post Brexit arrangementsView the full article

There are a lot of gaming handhelds to choose from right now, but the Steam Deck is undoubtedly a fan-favorite. Just as the Nintendo Switch introduced the world to console gaming on the go, the Steam Deck was the pioneer in bringing PC gaming to a handheld form factor—even if it pushes the definition of "handheld." Part of the initial appeal of the Steam Deck is its price: While you could choose a souped-up model with an OLED display and expanded internal storage, you could also pick up an LCD model with a 256GB SSD at a reasonable $399. For less than the price of a Switch 2, you could have something that plays the entire Steam library, with its huge variation in games. It's a great deal—perhaps too great. If you go to Valve's official Steam Deck site, and scroll down to see your hardware choices, you'll notice something interesting: While there appear to be many 512GB and 1TB OLED Steam Decks in stock, ready to buy, the entry-level LCD model is "out of stock." Hardware selling out isn't uncommon, of course—other popular devices like the Switch 2 sell out fast, and can sometimes be hard to come by. The assumption then is that Valve will make more LCD Steam Decks, so that gamers can buy into the platform without spending the extra $150 for the 512GB OLED model. However, it doesn't appear that the LCD Steam Deck is coming back anytime soon—or at all. While it's easy to miss if you're just looking at the buy links themselves, scroll down a bit further on Valve's site, and you'll see the following footnote: "We are no longer producing the Steam Deck LCD 256GB model. Once sold out, it will no longer be available." And seeing as the item is currently listed as out of stock, it seems fair to say that the LCD Steam Deck is no more. Valve doesn't have an official reason why it is discontinuing the LCD Steam Deck, but some speculate the root cause is rising component prices—namely, RAM and storage costs. These computing parts are skyrocketing in price, which might lead companies like Valve to pare down its hardware selection. Why waste expensive resources on a $399 machine, when you could instead push some of those potential buyers into the $549 machine? Can you buy the LCD Steam Deck elsewhere?The short answer? Yes, but I'd encourage you not to. The most reliable seller to purchase a Steam Deck from is Valve itself. Otherwise, you may either overpay for your Steam Deck, or, potentially, get scammed. Take this Amazon listing, for example where the model appears to be $459.99. The seller has misspelled the name of the device, and has labeled it under "Apparel." While it might be tempting to save $90 when compared to the official 512GB OLED model, I'd skip the Amazon option. Another questionable Amazon seller has the 256GB model for $829.99, while selling the 512GB OLED model for $899.99. Again, that's either highway robbery, or a good old fashioned scam. If you're dead set on not spending $549 on a new Steam Deck, you could look at the used market, but even then, things are rough. People aren't really selling these things, and when they are, they're selling them for quite a bit. You might have some luck on a site like eBay, where I'm currently seeing some OLED Steam Decks selling around $400. But buyer beware: Buying items used through a third-party seller can be risky. Without the proper safety nets, you might be better off stretching for the official hardware from Valve. View the full article

If you’re thinking of buying your kid a talking teddy bear, you’re likely envisioning it whispering supportive guidance and teaching about the ways of the world. You probably don’t imagine them engaging in sexual roleplay—or giving advice to toddlers about how to light matches. Yet that’s what consumer watchdog the Public Interest Research Group (PIRG) found in a recent test of new toys for the holiday period. FoloToy’s AI teddy bear Kumma, which uses OpenAI’s GPT-4o model to power its speech, was all too willing to go astray when in conversation with kids, PIRG found. Using AI models’ voice mode for children’s toys makes sense: The tech is tailor-made for the magical tchotchkes that children love, slipping easily onto shelves alongside lifelike dolls that poop and burp, and Tamagotchi-like digital beings that kids want to try and keep alive. The problem is that unlike previous generations of toys, AI-enabled gizmos can veer beyond carefully pre-programmed and vetted responses that are child-friendly. The issue with Kumma highlights a key problem with AI-enabled toys: They often rely on third-party AI models that they don’t have control over, and which inevitably can be jailbroken—either accidentally or deliberately—to cause child safety headaches. “There is very little clarity about the AI models that are being used by the toys, how they were trained and what safeguards they may contain to avoid children coming across content that is not appropriate for their age,” says Christine Riefa, a consumer law specialist at the University of Reading. Because of that, children’s-rights group Fairplay issued a warning to parents ahead of the holiday season to suggest that they stay away from AI toys for the sake of their children’s safety. “There’s a lack of research supporting the benefits of AI toys, and a lack of research that shows the impacts on children long-term,” says Rachel Franz, program director at Fairplay’s Young Children Thrive Offline program. While FoloToy has stopped selling the Kumma and OpenAI has pulled FoloToy’s access to its AI models, that’s just one AI toy manufacturer among many. Who’s liable if things go wrong? Riefa says there’s a lack of clarity here, too. “Liability issues may concern the data and the way it is collected or kept,” she says. “It may concern liability for the AI toy pushing a child to harm themselves or others, or recording bank details of a parent.” Franz worries that—as with big tech companies racing to one-up each other —the stakes are even higher when it comes to child products by toy firms. “It’s very clear that these toys are being released without research nor regulatory guardrails,” she says. Riefa can see both the AI companies providing the models that help toys “talk” and the toy companies marketing and selling them to children being liable in legal cases. “As the AI features are integrated into a product, it is very likely that liability would rest with the manufacturer of the toy,” she says, pointing out that there would likely be legal provisions within the contracts AI companies have that shield them from any harm or wrongdoing. “This would therefore leave toy manufacturers who, in fact, may have very little control over the LLMs employed in their toys, to shoulder the liability risks,” she adds. But Riefa also points out that while the legal risk lies with the toy companies, the actual risk “fully rests with the way the LLM behaves”, which would suggest that the AI companies also bear some responsibility. It’s perhaps that which has caused OpenAI to push back its AI toy development with Mattel this week. Understanding who really will be liable and to what extent is likely to take a little while yet—and legal precedent in the courts. Until that’s sorted out, Riefa has a simple suggestion: “One step we as a society, as those who care for children, can do right now is to boycott buying these AI toys.” View the full article