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Conservatives are mistaking public dislike of the cultural left for enthusiasm for the opposite dogmaView the full article

Meta is updating its Facebook Live video storage policy, limiting the availability of live broadcasts to 30 days before automatic deletion. The change, which takes effect on February 19, will align Facebook’s storage policies with industry standards and streamline how live video content is managed on the platform. New 30-Day Limit for Live Videos Under the updated policy, new live broadcast videos can be replayed, downloaded, or shared for 30 days before they are automatically removed from Facebook. Previously, live videos were stored indefinitely. Additionally, all live videos older than 30 days will be deleted in phases over the coming months. Meta will notify users before deletion, giving them 90 days to download, transfer, or repurpose their content. Users will receive these notifications via email and in the app. Options for Downloading and Transferring Live Videos To assist users in preserving their content, Meta has introduced several tools to facilitate the download or transfer of live videos before they are removed. Single Video Download: Locate the Videos tab on your Facebook Page or profile. Find the live video you want to download. Open the video in full-screen mode, click […], and select “Download video.” Users can also download multiple videos via the Activity Log by selecting “Your live videos” and choosing a date range. Bulk Video Download: Users can select multiple live videos to download at once. A notification will direct users to the download interface, where they can choose a destination for the saved files. Transferring Live Videos: Users can transfer videos directly to cloud storage providers such as Dropbox or Google Drive. In the download interface, select “Transfer live videos” and choose a preferred storage location. Convert Live Videos to Reels To retain moments from past live videos beyond the 30-day limit, Meta is offering a feature that allows users to clip and convert live videos into Reels. This option enables users to share key moments on their profile pages. Postponing Deletion for Additional Time Users who need more time to manage their archived live videos can postpone deletion for up to six months. To defer deletion: Open the deletion notification. Select “Learn more” and tap “Postpone deletion.” Confirm by tapping “Postpone.” Image: Meta This article, "Meta Announces Changes to Facebook Live Video Storage Policy" was first published on Small Business Trends View the full article

Meta is updating its Facebook Live video storage policy, limiting the availability of live broadcasts to 30 days before automatic deletion. The change, which takes effect on February 19, will align Facebook’s storage policies with industry standards and streamline how live video content is managed on the platform. New 30-Day Limit for Live Videos Under the updated policy, new live broadcast videos can be replayed, downloaded, or shared for 30 days before they are automatically removed from Facebook. Previously, live videos were stored indefinitely. Additionally, all live videos older than 30 days will be deleted in phases over the coming months. Meta will notify users before deletion, giving them 90 days to download, transfer, or repurpose their content. Users will receive these notifications via email and in the app. Options for Downloading and Transferring Live Videos To assist users in preserving their content, Meta has introduced several tools to facilitate the download or transfer of live videos before they are removed. Single Video Download: Locate the Videos tab on your Facebook Page or profile. Find the live video you want to download. Open the video in full-screen mode, click […], and select “Download video.” Users can also download multiple videos via the Activity Log by selecting “Your live videos” and choosing a date range. Bulk Video Download: Users can select multiple live videos to download at once. A notification will direct users to the download interface, where they can choose a destination for the saved files. Transferring Live Videos: Users can transfer videos directly to cloud storage providers such as Dropbox or Google Drive. In the download interface, select “Transfer live videos” and choose a preferred storage location. Convert Live Videos to Reels To retain moments from past live videos beyond the 30-day limit, Meta is offering a feature that allows users to clip and convert live videos into Reels. This option enables users to share key moments on their profile pages. Postponing Deletion for Additional Time Users who need more time to manage their archived live videos can postpone deletion for up to six months. To defer deletion: Open the deletion notification. Select “Learn more” and tap “Postpone deletion.” Confirm by tapping “Postpone.” Image: Meta This article, "Meta Announces Changes to Facebook Live Video Storage Policy" was first published on Small Business Trends View the full article

President removes CQ Brown and other senior officers who he blames for pushing diversity, equity and inclusion policiesView the full article

President orders probes into levies imposed by EU, UK and Turkey on US companiesView the full article

Clearly, automation will affect labor in 2025. But we maintain that when implemented well, automation elevates our employees and empowers our American workers to make U.S. businesses more competitive on the global stage. This is our “why.” Now Chang Robotics’ president, Kate McAfoose, will address the “how.” These are remarks she shared at a recent Delaware Valley Goods Movement Task Force quarterly meeting panel. New automation brings new challenges Yes, new challenges emerge with increased automation and digitalization. As an engineering firm, our company is coming from an engineering culture into companies ranging from manufacturing to warehousing, transportation, e-commerce, healthcare, and government spaces. Many are Fortune 500; some are smaller, but the challenges they face are the same: They want to maintain staffing from within their regions, but they must be sure they’re meeting quality requirements and regulatory benchmarks. They want to build a resilient supply chain within the U.S. So how do they transition manual workers to jobs informed by digital technologies? Smart technologies and asking the right questions As part of our robotic solutions, we integrate smart sensors, internet of technology (IoT) platforms, data collection, and analysis. We also provide C-suites with a dashboard to track key metrics, and identify areas where performance may be lacking. The dashboard answers questions such as “Are we maintaining uptime?” “Are we meeting production requirements?” “Are the quality measurements in line?” Perhaps the client needs to improve operational efficiency to maintain profitability. In healthcare, nursing staff may be burned out due to a shortage, leading to physical exhaustion or extended shifts. Or a government facility might be ready—or required—to transition to autonomous shuttles. In all cases, the process involves finding the repetitive tasks that are not necessarily high skilled, then finding ways to automate those functions. Now the challenge is to upskill the staff and operators to new trades as we’re implementing the systems. Training the trainers is key Our company has a philosophy called “train the trainer.” As we implement new technology, we walk side by side with the operators for roughly 3-6 months. We make sure they understand and can operate the system; then we help them champion the system. In addition to the new level of employment, they earn the metaphorical “badge of honor” for having learned a new trade. We focus on empowering employees who can go home and say, “My job is cool. I get to work with robots.” It’s not a situation of humans being replaced by robots, but in positioning them with collaborative robots that can drive efficiency and quality but cannot function without human interaction. If we implement the change in this way, everyone wins. A new world, with room for many How many people go through high school thinking, “I want to specialize in goods movement” or “I want to work in automated transport?” This is not a career path people have considered as a “cool” future role. But as these functions become better understood, the respect for their power will grow. There will still be a range of skilled and lower-skilled positions in the automated workforce. More positions will naturally focus on the maintenance and planning of the automated facilities. People will be required to perform maintenance and testing functions and to plan and maintain the spare parts inventory. These roles are vital to the operation’s success and will naturally gain a much bigger seat at the organizational table. Automation also applies to quality control. For example, if you’re automating plasticware production, the utensils must come off the line cleanly, with no excess edges. The moment one piece fails to meet quality standards, it can cause a backup in the entire line, leading to a shutdown and requiring manual labor to resolve the issue. If you’re operating with a smaller staff, you’ll need to pull workers from other areas, further slowing down production. Everyone involved will continually learn and adapt. Jobs remain, but skillsets are shifting It’s critical to avoid the assumption that automation leads to job reduction. It’s a drive for as much production and quality enhancement as possible, but it will require a specialized team to achieve. Ideally, it’s the same team you already have, but differently trained. Traditionally, manual warehouse labor roles have very high turnover. After 6 months, many workers feel the job is repetitive and unappealing, or they leave to avoid night shifts or seek higher pay elsewhere. When this happens, the training investment is lost, and the next employee must be trained. However, when automation is implemented effectively, the need for manual labor decreases. Ideally, this reduction can occur through natural attrition—when an employee moves on rather than advancing, the company may not need to hire a replacement. Automation can streamline roles that involve heavy lifting, high workplace injury risk, and increased burnout or boredom. People will leave less often. Effective automation can reward companies and workers in new ways. Technology for a bright future What does this mean for our children’s future? Kate has a child in kindergarten right now. “I have no idea what she will do. Maybe she’ll pursue data science or data analysis, but the truth is, the roles of the future most likely don’t even exist yet. But they will be necessary. And so will she.” We will continually need to strive for the right decisions and balance, with a focus on innovation and action. This is how the next generation of companies—and employees—can continue to win. Matthew Chang is founder and Kate McAfoose is president of Chang Robotics. View the full article

This post was written by Alison Green and published on Ask a Manager. This comment section is open for any non-work-related discussion you’d like to have with other readers, by popular demand. Here are the rules for the weekend posts. Book recommendation of the week: The Safekeep, by Yael van der Wouden. When her brother’s girlfriend comes to stay with her in the Netherlands, a woman’s post-war life is upended. (Amazon, Bookshop) * I earn a commission if you use those links. View the full article

The Fast Company Impact Council is a private membership community of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. Members pay annual membership dues for access to peer learning and thought leadership opportunities, events and more. Sterile, isolating, and stressful: Today’s hospitals can kindle deep discomfort. Because they must be designed adequately for everyone, they’re designed perfectly for no one. So, what would our healthcare experience look like if physical hospitals were to disappear altogether? Artificial intelligence that is generative, predictive, and integrated, combined with the power of edge computing in every background device, will transform our very notion of hospitals. Healthcare will become a lifestyle so seamlessly woven into our daily experience that it will be invisible. Why is this the future of healthcare? The trends are already apparent: Evolving economics: As baby boomers transition to Medicare, millennials, Gen X and Gen Z are emerging as the primary healthcare consumers. These groups place an emphasis on convenience and personalization, and this social shift is influencing how we access care. Modern living: Biometric data collection is being increasingly integrated into our homes and daily routines, and predictive AI is streamlining diagnostics and preventing diseases. Converging technologies: Healthcare delivery has traditionally required specialized devices for every test and procedure, but the limitations of cost and size are fading. Advances in computation will converge functionalities, revolutionizing the patient experience in the process. Strategies for success In light of these trends, my firm has recently explored strategies for success in a changing healthcare landscape. They reflect our belief in a gradual transition toward decentralized healthcare and the integration of AI technology, celebrating our gradual societal progression towards an improved future, rather than a utopia that appears overnight. Here are some of these strategies. Lean into wearable technology. Soon, health data will be paired with pattern-recognition AI to identify and predict all risk factors for disease. This is a future inflection point where almost all healthcare becomes preventative medicine. For example, instead of learning about our heart disease after a cardiac event, AI will accurately warn us of our impending heart attack decades before it happens. Treat mental health as a community endeavor. The human body emits numerous indicators of psychological stress: elevated heart rate, tense muscles, and insomnia—which can be read by advanced biometric devices like an open book to our minds. Combined with large language model and diffusion model AI, a radical change in behavioral health could be at our fingertips. With AI-driven behavioral medicine available anywhere, anytime, communities could invest in public infrastructure—like augmenting parks to combine mental health with public green space—to increase accessibility and fight social stigma. Repurpose obsolete infrastructure: By 2051, gas stations may be obsolete, and diagnostic equipment that is expensive today will be cheaper, smaller, and more powerful. Repurposing existing gas stations—and other outdated infrastructure—into neighborhood health stations could efficiently disperse essential health services throughout communities. Create personalized care environments: Unbound by location, cost and data availability, we can enjoy more personalized healthcare. For example, combining a labor and delivery room with augmented reality will make birth more comfortable by bridging the personal environment of a home birth with the medical sophistication of a specialty clinic. Floor-to-ceiling digital screens that respond to cortisol levels to create a calming atmosphere while displaying critical health information would have positive health impacts and improve patient satisfaction. Integrate diagnostic screening into the home: Households will become data collection centers and bathrooms can become labs of the future by integrating AI into existing buildings. For example, imagine household appliances that track the type of food you keep on hand as a marker of your overall health or screen your biowaste for signs of sickness in real time. Your own digital health avatar will be updated every time you cook a meal or brush your teeth. Today, a visit to the hospital entails finding a place to park in a busy lot, picking the right door to enter, and winding your way through confusing corridors past services you don’t need, and ride elevators with people who cough without covering their mouths. Designers and architects have an opportunity to design a better way of doing things. It’s a safe bet the future of healthcare will be a messy evolution of technology, culture, and economy. Markets are demanding more personalized on-demand service, technology is getting smaller and cheaper every day, and AI continues to advance. As designers, we believe this leaves us free to envision healthcare first and foremost as experiences rather than buildings or places. By embracing solutions that are opportunistic and incremental, we can create a future where healthcare is invisible and omnipresent. As we move into a future where technology will diminish the constraining power of location, cost and data, designers must resolve to increase our commitment to human flourishing. We must work together to deliver healthcare that delights. Mike Sewell is director of innovation at Gresham Smith. View the full article

NEXT Insurance has launched a new multi-location workers’ compensation (WC) coverage option, allowing small business owners operating multiple locations within a single state to secure coverage under a single policy. The move positions NEXT as one of the first WC insurers to offer a fully digital solution for businesses managing multiple sites. The new coverage is designed for small businesses with multiple branches or offices, addressing the increasing complexity of insurance needs as they expand and hire more employees. With workplace accidents posing a growing risk for expanding businesses, the multi-location WC policy enables small business owners to manage their insurance across all locations through an online platform. “Until now, entrepreneurs have struggled to manage multiple locations and scale their operations with the right protection and, ultimately, the peace of mind that coverage offers,” said Jack Ramsey, VP of Agents at NEXT. “Multi-location for workers’ compensation will simplify coverage options for small businesses with multiple locations, saving them valuable time managing their policies. This new offering also gives SMBs the peace of mind that with NEXT, their coverage options will grow in tandem with their business.” NEXT’s digital platform enables real-time policy updates and self-service capabilities, allowing business owners to adjust coverage across all locations at any time. The online binding and servicing features give small business owners and insurance agents greater flexibility in managing policies. The streamlined process also facilitates the sale of policies to larger businesses needing scalable coverage. The multi-location WC policy is available through NEXT’s online platform, NEXT agents, and embedded partners. The simplified application process reduces administrative burdens, allowing business owners in industries such as food and beverage, retail, and professional services to quickly obtain coverage. With this latest offering, NEXT Insurance aims to provide a seamless, digital-first experience for small business owners, ensuring that as their businesses grow, their insurance protection can scale with them. Image: Envato This article, "NEXT Insurance Introduces Multi-Location Workers’ Compensation Coverage for Small Businesses" was first published on Small Business Trends View the full article

NEXT Insurance has launched a new multi-location workers’ compensation (WC) coverage option, allowing small business owners operating multiple locations within a single state to secure coverage under a single policy. The move positions NEXT as one of the first WC insurers to offer a fully digital solution for businesses managing multiple sites. The new coverage is designed for small businesses with multiple branches or offices, addressing the increasing complexity of insurance needs as they expand and hire more employees. With workplace accidents posing a growing risk for expanding businesses, the multi-location WC policy enables small business owners to manage their insurance across all locations through an online platform. “Until now, entrepreneurs have struggled to manage multiple locations and scale their operations with the right protection and, ultimately, the peace of mind that coverage offers,” said Jack Ramsey, VP of Agents at NEXT. “Multi-location for workers’ compensation will simplify coverage options for small businesses with multiple locations, saving them valuable time managing their policies. This new offering also gives SMBs the peace of mind that with NEXT, their coverage options will grow in tandem with their business.” NEXT’s digital platform enables real-time policy updates and self-service capabilities, allowing business owners to adjust coverage across all locations at any time. The online binding and servicing features give small business owners and insurance agents greater flexibility in managing policies. The streamlined process also facilitates the sale of policies to larger businesses needing scalable coverage. The multi-location WC policy is available through NEXT’s online platform, NEXT agents, and embedded partners. The simplified application process reduces administrative burdens, allowing business owners in industries such as food and beverage, retail, and professional services to quickly obtain coverage. With this latest offering, NEXT Insurance aims to provide a seamless, digital-first experience for small business owners, ensuring that as their businesses grow, their insurance protection can scale with them. Image: Envato This article, "NEXT Insurance Introduces Multi-Location Workers’ Compensation Coverage for Small Businesses" was first published on Small Business Trends View the full article

AI is everywhere these days, but when you see an article online from what has historically been a trusted source, it’s reasonable to think an AI wasn’t involved. At major newsrooms across the country, though, that reality is increasingly becoming less clear cut. While not every use of AI in the newsroom is as blatant as an AI just drafting a post onto a blank page (although that happens too,) it’s important to know just how the sausage is being made when it comes to the information that’s shaping your worldviews. Here are just a few news outlets that have started openly using AI in their processes, so you can stay informed about where exactly the information you’re reading is coming from. The New York TimesEarlier this week, Semafor published an article about new AI tools that New York Times management is reportedly encouraging staffers to try. While the publication’s legal arm is currently embroiled in a lawsuit against OpenAI and Microsoft for copyright infringement, it appears the site’s editorial and product wings are ready to embrace AI in the newsroom, at least going by communication from the top. According to Semafor’s writeup, NYT management is now supplying AI training to its journalists, debuting an internal AI tool called “Echo,” and approving usage of external AI tools including Google’s Vertex AI, a few Amazon AI products, and ironically, Microsoft’s Copilot and a non-ChatGPT tool from OpenAI. Not all of these will be used for the website’s articles—the New York Times is bigger than what you see on its front page—but Semafor did say that journalists are being encouraged to “use these AI tools” for tasks like mild content revisions or coming up with questions to ask during interviews. “Generative AI can assist our journalists in uncovering the truth and helping more people understand the world,” read the company’s editorial guidelines on AI, which are public on its site. “We view the technology not as some magical solution but as a powerful tool.” To that end, there are seemingly still some guardrails still in place. Semafor says the NYT has warned staff not to use AI to draft or significantly revise articles, and has noted that AI use could potentially infringe on copyright or unintentionally expose sources. Still, with internal communication suggesting writers use AI to come up with headlines and draft social copy, it’s worth keeping hallucination in mind the next time you see a suspicious-seeming NYT story going viral on social media. For the journalists’ part, Semafor reports that some remain skeptical, worrying that AI in the newsroom could inspire “laziness” and reduce accuracy or creativity. QuartzFirst off, a disclaimer. Quartz is currently owned by G/O Media, which also owned Lifehacker prior to its sale to Ziff Davis in 2023. With that said, G/O Media has since then become a major proponent of AI in the newsroom, with business news outlet Quartz being its biggest experiment in this. Scroll through Quartz’ bylines for a bit and you’ll find posts attributed to the Quartz Intelligence Newsroom, which seems to be dropping any of the restraints adopted by the New York Times. Here, the AI “writer” has been quietly generating earning reports for months and has recently started spitting out more general blogs as well. These include stories about potential Bitcoin value or how to delete your Meta-owned social media accounts, but as you might expect, there are issues to be aware of with each. To Quartz’ credit, it does not hide that these stories are AI-generated and the AI cites its sources, but it doesn’t appear as if there’s human oversight addressing any problems that might arise from this. For instance, the Quartz article on how to delete your Meta-owned social media accounts seems to be a simple regurgitation of a TechCrunch story (which did not give permission to be summarized, for what it’s worth), but with clear instructions swapped for what the cribbed TechCrunch writer calls “vague” gestures in the right direction. Speaking about other stories written by the Quartz AI, the same writer also said “my editor would never let me publish something so sloppy.” With that, it’s very likely you might find this story hoping for useful advice, only to leave disappointed and more confused than when you came. But the chances of that only get higher if you land on another story with a less reliable source than TechCrunch. As noted by Futurism, the Intelligence Newsroom has frequently cited a site called Devdiscourse, which itself has all the appearances of an AI content farm. When robots are citing robots, I do have to ask: why not just go to ChatGPT and prompt it yourself? Even if I accept AI news as worthwhile, it’s unclear to me what G/O’s efforts are adding here. G/O is slapping a disclaimer on all AI-generated Quartz stories that says it's in the “first phase of an experimental new version of reporting,” but with AI efforts at the company going back to 2023, it’s unclear if it’ll ever figure out what that experiment is supposed to yield. In the meantime, keep an eye out on all Quartz bylines, and if you sniff AI, maybe consider giving the sources the bot is blending up for you a read instead. It seems like once you click that attractive headline, you’re basically playing a game of roulette. APIf the New York Times is just starting to dip its toes into AI, and Quartz has done a full-on cannonball, then the AP’s use of AI seems to be somewhere in between. On its site, the agency proudly declares that it uses AI for translation, transcription, headlines, research, and even some automated articles, but general blogs are still left to human hands. “Our goal is to give people a good way to understand how we can do a little experimentation but also be safe,” said AP's Vice President of News Standards and Inclusion, Amanda Barret, in 2023, when the group first issued its guidelines on artificial intelligence. Where this will most likely affect you is in the site’s use of Wordsmith, an AI program that specializes in summarizing content like sports scores, weather reports, and, as with Quartz, earnings. AP has been using a version of this program since 2014, so it’s not exactly new, but it’s worth being aware that stories on these topics without a specific author attached likely came from a bot. But aside from these stories, AP’s only other clear use of directly AI-written content was an experiment with reporting public safety incidents in a specific Minnesota newspaper. Otherwise, the only time you’re likely to see direct AI content on an AP story is its story summarizing pilot: for instance, AI might put a blurb under election day stories to say which offices are up for grabs. Again, headlines and research are still admittedly AI-assisted, so it’s important to be extra careful when something doesn’t pass your sniff test, but it seems like humans are still taking the forefront here, at least for now. The Washington PostThe Washington Post’s use of AI is unique, in that it doesn’t directly impact the content. Rather, it’s more of an enhanced search engine for readers who go looking for it. The bot, called “Ask the Post AI,” takes questions, spits out a brief AI-generated response trained on Washington Post content, and then lists relevant articles below in a Google-like manner. “Answers are AI-generated from published reporting,” warns the bot when you ask a question. “Please verify by consulting the provided articles.” Responses seem to aim for a measured tone, leaning on quotes from noteworthy sources in matters of opinion, and when I asked the bot about President Trump’s evolving stance on TikTok or Elon Musk’s history with Tesla, I got truthful responses back, although the former was a paragraph long while the latter was only a sentence long. I suppose how detailed your responses are depends on how much the paper has covered a specific topic. Washington Post hasn’t been clear about which AI tech powers Ask the Post AI, but in general, it won’t bother you unless you go looking for it. Based on the prevalent warnings about its use, it seems to be intended more as a place to start research than as a direct news replacement. View the full article

Which came first: the up-for-grabs blame over inflation or the meme about it? Either way, both have lately caused a stir on social media, where news about rising economic anxiety is now often yoked to three cheeky little words: Trump take egg. One of the first major political memes to emerge on Bluesky in the Trump 2.0 era, “Trump take egg,” is a pithy, grammatically fraught way to assign ownership over a leading economic hardship. It can be found accompanying photos of empty store shelves, astronomically high prices, and signage about egg rationing—the kind of photos that haunted Biden’s entire inflation-ravaged presidency. Egg-ception The idea for the meme hatched with Daytime Emmy-winning editor for TV and film Michael Tae Sweeney, who made the first recorded “Trump take egg” post on February 4. Sweeney got the inspiration for it not online but out in the wild, where he witnessed firsthand the sweeping panic over rising egg prices. During a weekday morning trip to a Costco in Southeast San Diego, he noticed the vibes were off as soon as he walked through the door. “Every single cart besides mine already had two cartons of 60 eggs in it, the most you were allowed to buy in one trip,” he recalls. “I bee-lined to the dairy section and was lucky to get some of the last eggs available that day. Other guys were pulling out their phones to take pictures of the empty egg case. It felt like it was all anyone wanted to talk about—the cashiers, the other grocery shoppers, my neighbors, the security guards at my kids’ daycare. That was weeks ago, and it’s only gotten worse since then.” Indeed, egg prices have soared over the past few weeks, as farmers have had to kill more and more of their chickens in an effort to contain an ongoing outbreak of avian flu. The average wholesale price for a dozen large white eggs broke the $8 threshold on Thursday, a new record, up from $6.55 on January 24. Although it may scan as goofy, “Trump take egg” is an organic, free-range rallying cry, holding the president’s feet to the fire for his lapsed pledge to bring down food prices on Day One—as he attempts to shift blame for it again and again. The message is starting to spread too. Not only has “Trump take egg” taken over Bluesky, where there’s a dedicated account reposting some of its usage, it’s migrated to X and has also begun to hit TikTok. A meme takes flight Though the bird flu outbreak may have preceded Trump’s term, some official acts on his watch—in particular, the Department of Government Efficiency accidentally firing the USDA workers tasked with curbing bird flu—likely did not help matters. Because the meme caught fire during a series of weeks in which egg prices soared, social media users now had a shared vocabulary to call out Trump for firing those workers in real time. And though Sweeney has played ringleader to his own creation, posting it alongside egg news as often as possible, “Trump take egg” quickly took on a life of its own. Within days, random Bluesky users began tagging him in replies to their posts about eggs (and who took them). Some even started using the same cadence to assign blame for other consequences of Trump’s presidency, posting comments such as “Trump cause traffic” after the president sought to end New York City’s congestion pricing program earlier this week. The message seems to be resonating because it applies a refreshing light touch to a serious issue. So far, a lot of political and financial news in 2025 has had a bleak aura for many Americans, and tends to hit social media with doomsday gravity. Slapping “Trump take egg” on an entire segment of current events, though, has the disarming effect of wearing Groucho glasses with a doctor’s smock. It also helps keep attention and ownership on a pressing issue during a chaotic time. “Americans are angry and confused by the high price of eggs, understand it’s wrong, and understand that, on some level, Trump and the incompetent people running the country are responsible for it,” Sweeney says. “Being able to express all that real emotion in a tight three-word slogan just makes it easy for people, even if the slogan’s broken grammar is a little silly.” Although for now, the message is mainly restricted to left-leaning Bluesky, the sentiment behind it seems to be taking hold all over. A new poll from the Washington Post and Ipsos released on Thursday shows 53% of Americans disapprove of Trump’s handling of the economy, his worst economic numbers since 2017. Another poll released the same day, by CNN and SRSS, reveals 62% of respondents say the president has “not gone far enough” in trying to reduce prices. Despite Trump’s efforts to deflect blame, it may now be harder than ever to wipe the egg off his face. View the full article

ChatGPT referrals to publishers increased with the introduction of web search, but remain a minor share of overall traffic. The post ChatGPT Referral Traffic To Publishers Remains Minimal appeared first on Search Engine Journal. View the full article

The Massachusetts attorney general noted some consumers were caught by surprise when they realized the full cost of their agreements after signing. View the full article

The Office of the Comptroller of the Currency is the latest federal banking agency to let go of probationary employees. View the full article

We may earn a commission from links on this page. Heart rate variability (HRV) and resting heart rate (RHR) are the metrics that most wearables' "recovery" numbers are based on. I wore five devices to bed for two weeks to see how their readings compared. Those devices were an Apple Watch Series 10, a Fitbit Charge 6, a Garmin Forerunner 265S, an Oura Ring 4, and a Whoop 4.0. Why these five? Well, they're the major brands that people tend to gravitate toward when they want to track sleep, and for each I chose the best (in my opinion) of each company's current offerings. I had most of them on hand due to testing them for recent or upcoming reviews. The Apple Watch Series 10 is the one our Associate Tech Editor Michelle Ehrhardt crowned the best Apple Watch for most people. The Charge 6 is Fitbit's standout no-nonsense fitness tracker (sorry to Fitbit smartwatch lovers, but there are better smartwatches out there.) The fourth-generation Oura ring is the company's newest and best, and Whoop's 4.0 strap is the current hardware for its subscription-based recovery and activity tracking service (which beat Oura in our head-to-head comparison). Garmin makes a multitude of watches that can track your sleep, but the one that I tested here is my personal device, a Forerunner 265S—which is, in my opinion, one of the best running watches out there. As I've discussed before, the numbers we get from our smartwatches fall into a few different categories. Many are scores or icons that we can't really verify with other devices—what does it mean to have a "sleep score" of 87, anyway? Others are measurements, and we can compare those from device to device, since they should all be measuring the same thing. Different devices may use different sensors to pick up the data and different algorithms to process and display it, but we'd expect to see similar numbers from all of the devices tested. Our HRV and resting heart rate numbers fall into this latter category, so let's see how well the devices match. WHOOP 4.0 with 12 Month Subscription – Wearable Health, Fitness & Activity Tracker $239.00 at Amazon /images/amazon-prime.svg Shop Now Shop Now $239.00 at Amazon /images/amazon-prime.svg Garmin Forerunner 265S Running Smartwatch (Black/Yellow) $449.99 at Amazon /images/amazon-prime.svg Get Deal Get Deal $449.99 at Amazon /images/amazon-prime.svg Oura Ring 4 - Black - Size 8 - Smart Ring - Size First with Oura Ring 4 Sizing Kit - Sleep Tracking Wearable - Heart Rate - Fitness Tracker - Up to 8 Days of Battery Life $349.00 at Amazon /images/amazon-prime.svg Get Deal Get Deal $349.00 at Amazon /images/amazon-prime.svg Apple Watch Series 10 (GPS, 42mm, Black, S/M 130-180mm, Sports Band) $399.00 at Best Buy Get Deal Get Deal $399.00 at Best Buy Fitbit Charge 6 Activity Tracker - Heart Rate Monitoring, 7-Day Battery, Google Apps, Maps & Wallet, Comprehensive Health Insights, Sleep & Activity Analysis, S & L Bands, (Coral/Champagne Gold) $149.00 at Amazon $179.99 Save $30.99 Get Deal Get Deal $149.00 at Amazon $179.99 Save $30.99 SEE 2 MORE What is HRV, anyway? HRV, or heart rate variability, is a measure of how steady your heartbeat is. Not how fast or how slow, but how different of a time frame passes between beats. The differences are only measurable with precise equipment, but here's the basic idea: If your heart goes “beat…beat..beat………..beat….beat..beat…….beat,” you have a high HRV (high variability), and that’s a good thing. On the other hand, if your heart goes “beat….beat….beat...beat…..beat,” that’s a low HRV. We tend to have a low HRV when we’re stressed or fatigued, and a high HRV when we’re either not stressed, or recovering well from our stressors. This may seem counterintuitive, because most of us think of an ideal heartbeat as being steady and regular, but subtle variations from one beat to another are healthy and normal. Our heart takes its orders on how fast to beat from two different parts of our nervous system (sympathetic and parasympathetic). It's thought that a high HRV indicates that the two systems are both active—balancing each other out, in a sense. Your HRV will change from day to day, and that’s where these devices come in. You’ll often see a change in your HRV numbers right after a hard workout or stressful work day, giving you an early heads up about what your body is dealing with. This information, used wisely, can help to guide your choices about how to manage your workout schedule, your stress, and your health-related habits. What counts as a “good” HRV depends on your own history; it’s not worth comparing yourself to others. (I don’t mean that in a feel-good kind of way, but literally, scientifically: your HRV only makes sense when compared to itself.) Whoop reports that the middle 50% of 20-year-olds have an HRV between about 60 and 105, with numbers declining as we get older. If you’re 60, according to that data set, you’re likely to have HRV numbers somewhere between 30 and 50. How does HRV differ from resting heart rate (RHR)?Your resting heart rate is also a number that reflects stress on your body, including fatigue and illness. Unlike HRV, where higher is "better," a higher resting heart rate means you’re more stressed, and a lower one is a sign that you’re well recovered. Resting heart rate can also change over time as you become more fit. Athletes tend to have lower RHR numbers, and people who take up an exercise habit often find that their RHR declines a bit over time. (That said, RHR isn’t a direct measure of cardio fitness; there seems to be a significant genetic component as well. Take me as an example: my RHR is always pretty low, even when my cardio fitness is crap. If I’m doing a lot of endurance training, it will drop by two to three points, but no more.) Most healthy adults have a resting heart rate of between 55 and 85 beats per minute (some sources give 60 to 100 as the typical range). It’s important to note that these numbers usually assume that you’re sitting quietly in a doctor’s office. When you’re asleep in your own bed, your heart rate can dip a bit lower. So it’s normal to see lower numbers on a wearable that records all night than you would see when you go to the doctor. How to track your HRV and resting heart rate with wearablesGone are the days when you may have charged your fitness tracker at night; now, fitness-focused wearables are expected to be worn in your sleep to track these nighttime metrics. During the night, your device monitors your heartbeat. It may sample and average different readings, and each device measures and calculates its numbers slightly differently. (That’s why I didn’t expect much agreement between the devices, but more on that in a minute.) When you wake up, you might be presented with a “readiness” or “recovery” score, but I stand by my position that HRV and RHR are the only numbers really worth paying attention to (aside from time in bed, if you want to monitor your sleep). This data on your HRV and RHR will be presented to you in the device’s companion app or, in the case of devices with a screen, on the device itself. Often the app or device will tell you how your numbers compare to your usual. What you do with that information is up to you. How I gathered my dataFor this experiment, I wore my five devices to bed every night. That meant: The Oura ring on my finger (right hand, middle finger) The Whoop band on my left bicep The Apple Watch and Fitbit on my left wrist The Garmin on my right wrist A pro tip for device testers: when you're wearing two watches on the same wrist, turn one toward the underside of your wrist. That way, the two watch bodies won't clack against each other. Also, make sure the buttons are aligned so they aren't going to bump against their neighbors in the middle of the night. I entered each day’s resting heart rate and HRV from each device into a spreadsheet. Garmin reports your seven-day rolling average as your HRV "number," but I used the nightly numbers instead, the better to match the other devices. When it comes to using this data, I already have a sense of how the numbers compare to my experience. If my HRV is high and my RHR is low, I pretty much always feel good and am ready to take on whatever the day throws at me. If my HRV is low and my RHR is high, I’m either stressed, sick, or maybe didn’t sleep enough; I may or may not do an easier workout that day, but I’ll definitely pay more attention to taking care of myself and getting plenty of sleep going forward. If my RHR and HRV are both high, that tends to mean I’m dealing with a lot of stress or fatigue but am handling it well. For this experiment, I didn’t bother tracking data on how I felt; I already know that the Oura data is good at matching how I feel, so the question was whether the other devices tracked the same trends or not. The results of my testIt was fascinating to watch the results take shape as I added more data points to the spreadsheet. The raw numbers were often pretty different: my resting heart rate on a given night might be 65 or 86 depending on which device I’m reading from. But as I logged weeks’ worth of data, the trend lines all told pretty much the same story: Credit: Beth Skwarecki For HRV, Oura almost always gives me the highest ("best" looking) readings. Whoop tends to stick pretty close, with Fitbit and Garmin not far behind. The Apple Watch, on the other hand, rides significantly lower on the chart than the other devices, and seems to disagree with their trend sometimes. For resting heart rate, things are a bit more consistent. Oura usually gives the lowest readings, flattering me again, with the other devices slightly above, and Fitbit giving the highest of the bunch. This is roughly a 10-beat difference for many of the days I charted: for example, 53 from Fitbit and 43 from Oura. It's hard to say which is right, since I'm not hiring a healthcare professional to stand by and take my pulse throughout the night. In general, the lines tend to all go up together, and all down together. (Mostly...looking at you, Apple Watch.) I'm happy to see that the devices aren't reporting drastically different readings that look like random numbers; they do all seem to be measuring the same underlying phenomenon even if they don't all agree on the exact number to label it with. Personally, when I want to look at my HRV or RHR, I tend to go with the device I'm most familiar with—in this case, the Oura ring. I've been wearing it the longest (through three generations of the product) and so I have a sense of whether a reading of 50 is high or low for me. (It's high for Oura, even though it might be a low number if I saw it on a different device.) The most important lesson I take from this, myself, is that not only is it useless to compare HRV from person to person, it's also not helpful to compare it from device to device. Just like the weight labels on the machines at the gym, the numbers give you a way to compare your progress or trends with the same equipment. Switch devices, and all bets are off. So pick a device, stick with it, and you'll probably get numbers worth paying attention to. What you do with them, of course, is another matter. View the full article

Siri Chilazi is a senior researcher at the Women and Public Policy Program at Harvard Kennedy School. Iris Bohnet is a professor of business and government at Harvard Kennedy School and co-director of the Women and Public Policy Program. What’s the big idea? Fairness is not merely a choice; it is a way of moving through the world. For life and work to exhibit more fairness, people need to embed fair behavior into everyday choices, routines, and systems. Everyone can show up in ways that allow for a diversity of people to be seen, heard, and valued at the table. Below, co-authors Siri and Iris share five key insights from their new book, Make Work Fair: Data-Driven Design for Real Results. Listen to the audio version—read by Siri and Iris—in the Next Big Idea App. 1. Fairness must be embedded in our systems. At some hotels, room key cards both unlock doors and control the lights. This little bit of technology makes it more likely that the lights are off when leaving the room. This is our vision for fairness as well. We want to embed it into everything we do. Fairness is not a program, it is a way of doing things, but it does not happen automatically. Only a few years ago, Swedish engineer Astrid Linder and her team developed the first crash test dummy built in the form of a woman’s body. And during COVID-19, personal protective equipment (PPE) was not made for everyone: not for those with small hands or large feet, and not for cultural dress codes that did not correspond with standard overalls. Unfairness can creep in anywhere: cars, protective gear, artificial intelligence, data for decision-making, and workplace procedures. A few years ago, we were approached by one of the largest employers in Australia. People had applied to positions of leadership at this organization and they sent those who were not chosen an email inviting them to reapply. They found that men were about twice as likely to reapply than women. Why was this and what could they do to not lose that talent? We asked the organization, who exactly are you writing to? They responded that they only asked the top 20 percent of applicants to reapply. This was our opener. Given that women have been found to be less self-confident, we suggested that we run a randomized control trial. Some applicants still got the email that was normally sent, but for others, we added one sentence sharing that they were among the top 20 percent of applicants. This edit completely closed the gender gap in reapplication rates. We fixed the system and equalized the playing field for all. 2. Make fairness count. Ros Atkins, a TV presenter at the BBC, made fairness count when he realized he had no data to know if he featured women and men with equal frequency as experts on his nightly primetime news show. Atkins and his team decided to generate that data. They began spending two minutes at the end of each night’s show counting how many women and men had appeared on screen during their one hour on air. This counting exercise illuminated that women made up only 39 percent of experts on air—a much lower share than they had anticipated. They set themselves a target of reaching 50:50 gender representation and became more thoughtful about featuring a diversity of experts on air. Within four months, they hit their target and maintained it for years. They also inspired hundreds of other BBC content-creating teams to join them in what has globally become 50:50 The Equality Project. Even though it wasn’t an organizational mandate, Ros Atkins and his team made fairness count in their work. They simply knew that for journalism to be of the highest quality, it needed to represent the world they reported on. They tweaked their everyday ways of working to better deliver on that goal. “Even though it wasn’t an organizational mandate, Ros Atkins and his team made fairness count in their work.” Another great example is Google, which discovered a few years ago that women were leaving the company at higher rates than men. A deeper dive into the data revealed that new mothers drove this pattern. Google tested a solution: increasing the length of leave available to all new parents from 12 to 18 weeks. Google continued to monitor the data and discovered that this solution worked to close the gender gap. To make fairness count, we need to use the same tools we rely on to manage our daily work on incentives and accountability. Accountability, in particular, is critical because research shows that it’s one of the most powerful influences on behavior. For the 50:50 project, this meant that all participating teams could see each other’s data. When humans know that our actions are being watched, we’re more likely to be on our best behavior. 3. Make fairness stick. For fairness to stick, we must build changes into existing practices and procedures. Consider the resume: perhaps a benign document describing our educational and work experience, but whoever decided what a resume should look like? Two of our collaborators, Ariella Kristal and Oliver Hauser, took this to heart and tested the impact of a redesigned resume. They were interested in one specific issue: how we describe work experience. They explored the impact that different ways of framing work experience on resumes have on the likelihood that an applicant will be invited to an interview. They responded to job postings by more than 9,000 employers in the United Kingdom and presented job history either by displaying a single number indicating how many years a job was held or (as it is commonly done) by indicating the dates during which the applicants worked in a given job. The change in framing made the applicant’s acquired expertise salient while obfuscating employment gaps. When prior work experience was shown by the number of years worked, without any dates, it increased the likelihood that a candidate would be invited to an interview by 15 percent. This finding held for women and men. While this reframing is gender-neutral, it will disproportionately benefit those more likely to have had career breaks: women. 4. Make fairness normal. Before the pandemic, flexible work was typically a special accommodation available only by request and not always granted. For decades, research has shown that providing flexible work options for everyone improves retention, employee satisfaction, and productivity. Studies in the U.K. and Switzerland even showed that job postings advertised as flexible received up to 30 percent more applications, especially from women. It took COVID-19 for most organizations to accept flexible work as a default option for all their workers. “Closing perception gaps shifts what people view as normal and, therefore, what they end up doing.” Employees and job seekers pay attention to company signals about their norms and culture. Drivers do the same. In Montana, 85 percent of drivers reported using seat belts, but they estimated that only 60 percent of other drivers would do so. In Saudi Arabia, married men similarly underestimated the share of other husbands who support their wives working outside the home. Eighty-seven percent of Saudi men said they were supportive, but they believed only 63 percent of their peers would be. Closing perception gaps shifts what people view as normal and, therefore, what they end up doing. Like in meetings, if your workplace has a culture of rampant interruptions, it can be hard to get the full benefit of everyone’s ideas. One simple way to shift this norm is to interrupt the interrupter like this: I look forward to hearing what you have to say, but please let Nicole finish her point first. Soon, interruptions will likely become less common because they are no longer tolerated or viewed as normal. 5. Make fairness personal. In the film Hidden Figures, Katherine Johnson, Mary Jackson, and Dorothy Vaughan were three brilliant mathematicians who worked for NASA during the space race in the 1960s. Jackson became the first female African American engineer at NASA, Vaughan was the space agency’s first African American supervisor, and Johnson conducted crucial research on flight trajectories for various space shuttle missions. Role models matter. Seeing is believing. A few years ago, India amended its constitution with the provision that a third village head position had to be held by women. Seeing women in leadership changed what women in these villages thought was possible for themselves. They became politically active, spoke up in town hall meetings, and were likelier to run for political office. The role models inspired parents who reported that one of the core career aspirations for their daughters was to become a politician. You can be one of these role models. You can also change the portraits on your office walls to ensure they represent everyone. You can inspire others to dare. The crux of making work fair is that it must be part of every single person’s job. No matter your role, seniority, or activities, there is something that you personally can do to make work more fair. We liken this to communications. Most companies have a dedicated corporate communications department that handles high-profile press releases and CEO speeches. But simultaneously, every employee writes emails, speaks in meetings, and creates slide decks daily. Make small changes in the way you work and share them with others. Shift what people see as normal or what people expect as the way to do things. Together, we can get further faster and see real results unlike ever before. This article originally appeared in Next Big Idea Club magazine and is reprinted with permission. View the full article

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Salesforce is an incredibly powerful platform, able to handle most of your organization’s needs in sales, customer support, and even marketing. But while a host of automations and integrations allow Salesforce users to streamline much of their work, there’s a feature that can do much more, and do it more autonomously. Here’s your quick guide to Salesforce Agentforce and what it can do. What is Salesforce Agentforce? Agentforce is Salesforce’s AI agent functionality, which allows Salesforce users to instantly unlock more bandwidth for everything from processing incoming customer requests to booking sales meetings and managing their pipeline. More than just another chatbot or AI automation platform, Agentforce actually allows organizations to deploy independent, autonomous AI agents that are about as close to a real person as AI can get. How AI agents work Over the past few years, most professionals have become acquainted with AI tools like ChatGPT, Midjourney, and Jasper. Tools like these are used for everything from drafting emails, automatically transcribing meetings, and pulling insights from large data sets. While these tools can handle a staggering variety of tasks, they need precise direction from a user — unless that direction was already coded in by a software engineer. AI agents are self-directed and able to autonomously make decisions, take complex actions, and report on findings. Where a tool like ChatGPT processes a user’s request based solely on available training data, an AI agent can interface independently with other software tools and new data. That means Salesforce Agentforce allows users to automate far more than they could before, and even offload routine decisions to an AI agent. 5 ways to use Salesforce Agentforce You don’t need to be a software engineer to set up your first Salesforce AI Agent. That means every team can quickly deploy their first agent and see the benefits in their day-to-day operations without depending on technical help or waiting weeks for it to be deployed, as with other automation or integration solutions. Here are just a few examples of how your organization might use Agentforce agents. Optimizing self-serve customer support Most organizations use chatbots to handle simple, routine customer inquiries already. Through tools like Salesforce, they also automate ticket triaging, escalations, and more. But an AI agent can do a lot more. Chatbot conversations can be stilted, overly verbose, and rarely suited to resolving more complex issues. AI agents can actively search through your organization’s data on the fly, during a conversation with a customer, and even automatically identify tickets that need to be escalated to a human support agent. They can even pair up customers with those agents by sharing meeting links to schedule follow-ups. Automating routine support tasks Handling incoming tickets is far from the only task customer support agents are responsible for. Depending on your industry, there can be multiple requests that are common enough to be routine but complex enough that regular automations and AI tools can’t handle them. That might be because data needs to be pulled from multiple sources or an interaction with other software is actually needed. AI agents can perform many of these tasks autonomously, freeing up customer service agents to take on more important issues. Examples of these tasks include: Changing reservation information for a restaurant. Redeeming loyalty points for an e-commerce site. Canceling and refunding subscriptions for software companies. Rebooking appointments for a professional services firm. Delivering better sales experiences based on data In certain industries, salespeople get deeply involved with every customer not just before they become a customer, but throughout their relationship with a company. They might have a direct hand in onboarding, deployment, or fulfillment. They might offer exclusive offers and discounts throughout that customer’s journey, based on the customer data they have available. But at a certain scale, that becomes unsustainable, unless the organization hires a veritable army of salespeople. AI agents can handle many of these touchpoints, seamlessly pulling data from throughout your Salesforce workspace and finding opportunities to surprise and delight customers just like a human salesperson might. Kick-off workflows from your chat app How often does a project, initiative, or campaign start in your chat app? Someone has a spontaneous idea and you all agree it should be pursued. But when it’s time to actually follow through on that idea, someone has to go into Salesforce, a project management tool, or another platform to actually set the stage for the work that needs to happen. Because Agentforce can be added directly to chat apps like Slack, you can go from an idea to an initiative in a lot less time. Your AI agent goes beyond typical software integration, automatically referencing any necessary resources or tools when doing the work to set things up for your team. Supercharge sales training Sales training is essential to building a team of overachievers, but training new sales reps gets exponentially more difficult as you scale. With Agentforce, you can give sales agents a way to work on their pitches, practice dealing with common objections, and negotiate tougher deals. Your AI agent will roleplay as prospects your organization regularly deals with to prepare your salespeople for anything. Doing that with human trainers would take a massive amount of time and resources, which you’ve now freed up for other important tasks. Want to take your Agentforce agents to the next level? Check out Unito’s free ebook: 15 Ways to Integrate Salesforce in Real-Time. Deploy agents in force With Salesforce Agentforce, you can deploy AI agents that take on everything from repetitive routine tasks to entire workflows, no matter how complex. If you’ve been looking for a way to empower your sales and support teams to take on more mission-critical tasks while automating the routine, then these agents might be the way to go. FAQ: Salesforce Agentforce What is Salesforce Agentforce? Salesforce Agentforce is a built-in tool for creating and deploying AI agents in Salesforce. These agents can automate routine tasks and take on entire workflows. They’re far more advanced than chatbots like ChatGPT. Is Agentforce the same as Copilot? Agentforce is provided by Salesforce while Copilot is a Microsoft product. Beyond this, Agentforce allows for the creation and deployment of AI agents, which can perform complex tasks autonomously. Copilot is designed to assist people in their own tasks by giving insights and looking up information. Who is Agentforce for? Agentforce is for Salesforce admins who want the ability to automate even the most complex workflows for their teams. View the full article

Love it or hate it, LinkedIn is key to growing your PM career. Here’s how to update your profile so it actually helps you get noticed. The post How to Stand Out on LinkedIn as a Project Manager (And Get Hired) appeared first on The Digital Project Manager. View the full article

Who wouldn’t want a “DOGE dividend?” Such an idea is evidently being floated at the highest levels of government. DOGE, or the Department of Government Efficiency, is currently slashing through the federal budget in what it says is an effort to weed out waste and fraud, lower the budget deficit, and claw back money for the taxpayers. As part of that, one idea that made its way to Elon Musk—who is (or perhaps is not) leading DOGE—was that some of the savings that DOGE is finding could be returned to taxpayers in the form of $5,000 checks, or “DOGE dividends” or “stimulus,” as some are calling them. On X this week, Musk said that he would “check with the president” about doing it, and President Trump himself has since said he’s open to the idea. While most Americans would no doubt love to have an extra $5,000, how realistic is the idea? Not very, say experts. Could DOGE even send out checks? While the infrastructure exists to send checks to taxpayers, the executive branch can’t do so on its own. Congress would need to step up first, says Zachary Liscow, a professor of law at Yale Law School who served as chief economist at the Office of Management and Budget (OMB) at the White House in 2022 and 2023. “In terms of technical feasibility, can the government send out a bunch of $5,00 checks? The answer is yes,” Liscow says. “But there are major challenges with doing so,” he adds, first and foremost being that “this would need to be a statute passed by Congress. It’s not in the ability of the executive branch to send out checks without authorization from Congress.” Additionally, Liscow says that the money, or “savings” that DOGE is finding, simply isn’t there. “It’s wildly unfeasible, it is impossible, for Musk to save $2 trillion in a year and a half,” which Musk said, at one point, was DOGE’s goal. The federal government spent $6.75 trillion during fiscal year 2024, which ended in September, and most of that was mandatory spending. DOGE would be looking to cut discretionary spending, which would include National Parks, defense spending, border security, and much more. Even with wide-ranging cuts or proposed cuts, DOGE still wouldn’t even come close to shaving off $2 trillion, Liscow says. “You add it all up, and they’re going to be orders of magnitude off. It strikes me as a stunt. It’s fake math,” he says. Fast Company has reached out to DOGE for comment. What is DOGE actually up to? If DOGE is unable to deliver on its promises of saving trillions, then the question becomes: What exactly is it doing? So far, it seems like the answer is clear: “Trollololol.” That’s according to Martha Gimbel, executive director and cofounder of the Budget Lab at Yale, a nonpartisan policy research center that analyzes federal policy proposals and their potential effects on the economy. In effect, even as DOGE has caused a lot of waves in recent weeks, it hasn’t really done anything to further its goals. “It is incredibly unclear how much spending DOGE has actually cut, and how much spending they have legally cut—and those are two separate questions. The best data we have about how much the government is spending, you can’t see any impact at all. So they’ve accomplished basically nothing, except the degradation of government services.” By Gimbel’s calculation, even if you assume DOGE has cut $8.5 billion—which is what it claims to have cut so far—taking that and sending out a check to each taxpayer would net them around $50, nowhere near $5,000. Not only that, but it would run counter to DOGE’s stated goal of decreasing federal spending. “Technically, they keep saying the point of DOGE is to cut the deficit, which is quite large. If you were going to plow any ‘savings’ back to the taxpayer, then you’re still left with the deficit problem. You’re not doing anything at all,” Gimbel says. This is all to say that, no, you should not expect to receive a DOGE dividend check anytime soon, and certainly not a $5,000 one, despite what you’re hearing from those in and around the White House. “We really are in a situation where there’s a lot that is being promised to Americans, but none of it’s being delivered,” Gimbel says. “There are ways you could do this in a way that makes the government function better, be more efficient, and get better outcomes for the taxpayer. Instead, they’re slashing and burning.” View the full article

I love an easy, impressive dessert. It must have few ingredients, require little to no elbow grease, and have a big payoff at the end. The galette des rois delivers on all fronts. Often made for Three Kings’ Day at the beginning of January, there’s really no better time to make this dessert than whenever the heck you want it. Why should January have all the fun? Make it for your partner’s birthday, friends dropping in for dinner, or a fancy spin on the king cake for your upcoming Mardi Gras party. With the wonders of pre-made puff pastry, all the hard work is done. In about 40 minutes, you can have a stunner of a dessert. What is a galette des rois?A galette des rois, French for "king cake," is puff pastry filled with a simple frangipane almond paste. There’s an optional féve (trinket or bean) for Three Kings’ Day, but I don’t find surprise choking hazards in my dessert to be much fun, so I'm leaving that out. The only thing that requires some doing is making the almond frangipane filling, which is, blessedly, easy. Simply mix the six room temperature ingredients in a bowl with a wooden spoon for 60 seconds. Here's the recipe I use, and try not to substitute out the almond extract if you can help it (because it makes all desserts better). How to make a French king cakeOnce the frangipane is mixed, unravel that jewel of the frozen aisle: store bought, all-butter puff pastry. Make sure it’s thawed according to the package’s directions—you won’t get very far if it’s frozen. 1. Trim the puff pastryYou’ll need two sheets of puff pastry cut into equally sized circles. You can use a guide, like a 9-inch cake pan, placed on top and trace it with a knife. Do this with both sheets of pastry. (Technically, you could omit the trimming and make a rectangular cake. No one’s the boss of you.) 2. Layer on the fillingPlace one circle of pastry on a sheet tray lined with parchment paper. Brush the outer inch with an egg wash. Try not to let it dribble down the edge or it will impede the pastry’s puffing action in those spots. (Egg cooks at a lower temperature than the pastry, so the egg will harden before the pastry has had a chance to rise.) Fill the center with an very thin layer of jam (this is optional, but I like it). Then spread a thick layer of the almond frangipane on top (one-third- to a half-inch thick), but keep it within the egg wash perimeter. 3. Seal the top and bakeLay the second sheet of pastry over top, and press the edges down gently to make contact with the egg wash edge. Egg wash the entire top of the pastry. Again, don't let the egg wash dribble off the edges. If you want to make a classic sun-burst pattern on top, or any pattern at all, now’s the time. Use the back of a paring knife (not the cutting edge) to indent the lines. Bake in a 425°F oven for 25 minutes. Finish with a heavy dusting of powdered sugar. The galette des rois is best served day-of, but you can cut any leftovers into individual slices, wrap them well, and freeze them. When you’re in the mood for a sweet treat, simply revive it in a 350°F oven for 10 minutes. Galette des Rois RecipeIngredients: 2 sheets of store bought puff pastry, thawed ½ batch of frangipane 1 tablespoon of raspberry jam Egg wash Powdered sugar for decoration 1. Preheat the oven to 425°F. 2. Use an overturned 9-inch cake pan to guide you as you cut a large circle out of each sheet of puff pastry. Line a baking sheet with parchment paper and lay one sheet of puff pastry in the center. 3. Egg wash the outer-inch of the pastry. Spread the jam thinly in the center within the egg wash circle. Spread the frangipane over the jam in a thick layer. 4. Top it with the second circle of puff pastry, pressing the edges so they stick to the egg wash. Brush a thin layer of egg wash over the entire top (not the sides). Make a design in the surface with the back of a knife, like a criss-cross pattern or star-burst. 5. Bake immediately for 25 minutes, or until well-risen and the top has deeply browned. Cool completely on a wire cooling rack and dust with powdered sugar before serving. View the full article

Hostinger Horizons enables web app development through a simple AI chat interface The post Hostinger Horizons Enables Anyone To Build Web Apps With AI appeared first on Search Engine Journal. View the full article

EU reportedly prepares charges against Google for DMA breaches, alleging its search services receive preferential treatment over rivals. The post Google Faces EU Charges Over Alleged DMA Breaches appeared first on Search Engine Journal. View the full article

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