Articles

Browse all AI articles. Use filters to narrow down results.

Showing 1061 to 1080 of 29934 entries.

Most Recent Articles

SiliconANGLE AI
aicube event coveragenewsneo4jdatatoknowledgethecubeai luminariesdata + ai turning data into knowledge for autonomous systems 2026google mapsgraph databasesgraph technologyjohn furrierjordi sprangerknowledge graphsneo4jneo4jdatatoknowledge26eventpagephysical aispranicthecube + nyse wiredtechsiliconangle ai

Physical AI needs context about its surroundings to adapt beyond a fixed set of instructions. Munich-based Spranic is building a spatial memory layer that records physical spaces and how they change. Connecting that information with knowledge graphs could help robots interpret their environments across different tasks, according to Jordi Spranger (pictured), founder and chief executive […] The post Spranic builds spatial memory for physical AI appeared first on SiliconANGLE.

Techmeme
techtechmemeanthropic

Jack Clark / Import AI: Anthropic co-founder Jack Clark says “I now think it's more likely we'll see full RSI become possible in 2027”, earlier than his previous prediction of 2028  —  Will we give robots the moon?  —  Welcome to Import AI, a newsletter about AI research.  Import AI runs on arXiv, cappuccinos, and feedback from readers.

Product Hunt
startupproduct hunt

NoteHouse

By Adam Cooper

Discussion | Link

Product Hunt
startupproduct huntrag

Lleverage

By Leonardo Piumi

Discussion | Link

Unite AI
thought leadersagentic aiai code securityci/cd gatescode generationdependency hallucinationsmutation testingquality engineeringsoftware qualitysoftware testingtest automationaiunite aiagentagents

Agentic AI Needs More Testers, Not Fewer

By Suprajyotsna Dasari, Software Quality Engineer, Cognizant

Agentic AI is rewriting how software ships. Assistants draft pull requests, agents open migrations, and review bots claim a change is safe before a human finishes coffee. The industry often frames this as a path to fewer people in quality. That framing is backward. When machines author more of the codebase, the scarce skill is not generation. It is independent verification. The 2025 Stack Overflow Developer Survey found that 84% of respondents are using or planning to use AI tools in…

Product Hunt
startupproduct hunt

Blade

By Ashley Hocking

Discussion | Link

Unite AI
ai models & platformskuberneteslambdanvidiarun:aiaiunite aigpu

Lambda Readies Open-Source Run:ai Scheduler for Kubernetes Service

By Theo Nash, AI Infrastructure & Compute, AI Research Agent

Lambda said on October 13, 2026 that it is working with NVIDIA to make the open-sourced Run:ai GPU scheduler a first-class managed option on Lambda Kubernetes Service (LKS), part of a planned library of schedulers delivered as managed components. The plan appeared in an October 13, 2026 post on Lambda's blog. "We welcome NVIDIA's decision to open-source Run:ai, and we're working to make it a first-class option on Lambda Kubernetes Service (LKS)," the company stated. Lambda said it has supported…

Business Insider
newsbusiness insiderpolicy

HR org SHRM found liable in disability lawsuit

By Sarah E. Needleman,Jack Newsham

iStock A jury found SHRM liable for mishandling a job applicant's request to bring a service dog to work. SHRM said it offered alternative accommodations and will evaluate appellate options. In 2025, SHRM was hit with an $11.5 million verdict in an unrelated discrimination case. It is appealing. A jury on Friday found the nation's largest HR group liable for mishandling a job applicant's request for a disability accommodation. The Society for Human Resource Management, or SHRM, lost on all counts and was hit with a verdict of $400,000 in compensatory damages for failing to comply with the Americans with Disabilities Act and the Virginia Human Rights Act, according to a legal filing posted Tuesday. No punitive damages were awarded. The case was tried in Alexandria, Virginia, where SHRM is headquartered. In a statement posted on SHRM's website, the HR group said it disagrees with the jury's verdict and will evaluate appellate options. "This case carries implications well beyond SHRM," the group wrote. "If today's verdict becomes precedent for the principle that an employer must always capitulate to an employee's exact preferred accommodation, the interactive process the ADA was built around ceases to function. We are evaluating all appellate options to protect not just our own position, but the operational rights of HR departments and employers nationwide." Mary Kuntz, a lawyer for the plaintiff, praised the verdict in a statement. "The law requires employers to look seriously at an employee's actual needs when an accommodation is requested," she wrote. "That obligation applies to every employer, including the organization so many others rely on for guidance on these questions." In the complaint, plaintiff Fiona Torres alleged that SHRM offered her a role as a senior specialist in its product management department in June 2024, then revoked the offer that July because she wanted to bring her medical service dog to work. She said she is diabetic and that her dog could detect changes in her blood-sugar levels faster and more reliably than a top-tier glucose monitor. SHRM responded in a January court filing, saying it offered Torres "multiple accommodations," including the ability to use her continuous glucose monitoring system and an insulin pump at work, to take breaks as needed to check her blood sugar levels, and to consume food or drink as needed at or near her workstation. The judgment marks the second time in less than a year that SHRM has been held liable in an employment-related lawsuit. In December, a jury returned an $11.5 million verdict against SHRM, which sells HR certifications and offers training on best HR practices, in an unrelated race discrimination and retaliation case involving a former employee. SHRM has since appealed that decision. Last year, Business Insider reported that SHRM had been embroiled in various controversies. Those included an attendance policy that penalized workers who arrived a minute after 9 a.m.; a memo about a "conservative" dress code that banned sequins; and a companywide meeting in which SHRM CEO Johnny C. Taylor said some staffers were "entitled," "complacent," and "sloppy." Read the original article on Business Insider

Business Insider
newsbusiness insider

President Donald Trump's administration is requiring student-loan borrowers to transition off the SAVE repayment plan. Win McNamee/Getty Images Student-loan borrowers are receiving 30-day "final notices" to transition to a new repayment plan. New research said that borrowers who do not switch to an income-based plan could face "much higher" payments. The higher bills put borrowers at risk of default. The deadline for student-loan borrowers to pick a new repayment plan keeps shifting — with higher payments looming. September 29 was the initial deadline for the earliest wave of borrowers on the SAVE income-driven repayment plan to pick a new plan. If they didn't, they would be automatically placed on a standard plan with the highest payments. Now, borrowers have told Business Insider that as their deadline approached at the end of September, they received a 30-day "final notice" to select a new plan, which extended their deadline by one month. Over the past couple of weeks, more borrowers reported receiving that notice ahead of their initial deadline. Over 7 million borrowers were enrolled in the Biden-era SAVE plan, which allowed for cheaper payments and a shorter timeline to debt relief. The Trump administration eliminated the plan and began sending notices to borrowers on July 1 informing them of their 90-day timeframe to switch. New research from the JPMorgan Chase Institute showed what's at stake for borrowers if they do not select a new income-driven repayment plan. According to the research, SAVE borrowers placed on a standard plan would face "much higher" payment burdens, rising from around 3% of their take-home income to roughly 12%. The research also said that, given that SAVE borrowers have been in forbearance for over a year, transitioning them back into repayment will be challenging, and they might not be aware that payments are due. As a result, "some may not re-enroll in IDR even when doing so would lower their monthly payments, potentially increasing their payment burdens." While the 30-day final notices give borrowers more time to pick a repayment plan, many have expressed confusion about the changing deadlines. A range of glitches has also made it difficult to navigate President Donald Trump's repayment changes. These include incorrect billing amounts, erroneous notices on account statuses, and the removal of payments that counted toward loan forgiveness. Consequences for borrowers as they transition off SAVE are high; the JPMorgan researchers said the transition could "create renewed delinquency risk" as millions of borrowers are resuming payments after a pause, with many facing higher bills. Data from Federal Student Aid found that 9.3 million borrowers were in default as of June 30, with another 1.5 million at risk of entering default in the next six months. Have a story to share about student loans? Contact this reporter at asheffey@businessinsider.com. Read the original article on Business Insider

Business Insider
newsbusiness insiderrag

Ina Garten's Parmesan chicken cutlets are the star of an easy dinner for any weeknight when you want to feel fancy without doing too much work. Tiffany Leigh I make a version of Ina Garten's pan-fried Parmesan chicken on most Monday nights. The easy weeknight dinner requires a few ingredients, including chicken breasts and grated Parmesan. I love using my leftover chicken cutlets in lunches throughout the week, too. The return of the workweek can be a drag, but juicy, pan-fried chicken breasts with a crunchy, cheesy exterior always help. On Monday nights, you'll usually find me whipping up a version of Ina Garten's Parmesan chicken for my toddler and partner. Luckily, the flavorful dish is incredibly easy to make — and I often already have most of the ingredients in my kitchen. The prep is key to a seamless cooking process I cut my chicken breasts before pounding them. Tiffany Leigh Don't be intimidated by the "intermediate level" description in this recipe on the Barefoot Contessa site — it's not actually difficult to make this dish. And, all in all, it usually takes me about 20 minutes to get this meal on the table. Once I've got my ingredients set out — chicken breasts, all-purpose flour, salt, pepper, seasoned bread crumbs, eggs, finely grated Parmesan cheese, unsalted butter, and olive oil — I begin my "mise en place." The French culinary phrase roughly translates to "everything in its place," and this time-saving step involves preparing and measuring out all ingredients before you begin cooking. I used a jar of peanut butter in place of a mallet. Tiffany Leigh First, the boneless, skinless chicken breasts must be pounded thin until they're about a ¼-inch thick. To make this easier and require less elbow grease, I cut them in half vertically before pounding them out. Since I was in the process of moving, I didn't have a rolling pin or mallet to pound these thin. Instead, I simply took a jar of peanut butter, inverted it, and wrapped it in cling wrap — it worked just fine. Setting up a proper breading station is key I make sure to set out my ingredients before I start breading. Tiffany Leigh I have one plate set up for the grated Parmesan and breadcrumbs; another plate for seasoning and flour; and one bowl for eggs whisked with water. Garten's flour blend calls for just salt and pepper, but I always had a pinch or two of sugar to the mixture, too — it's just how my mom taught me. The sugar helps balance the flavors out and lends to the browning of the chicken's crust. Once my station is set, I put on non-latex gloves and coat both sides of each cutlet with my flour mix, then the egg mix, then the breadcrumb mix. I wear gloves when breading my chicken. Tiffany Leigh On days when I'm picking up my child from dance class or day care, I go so far as to prep the dry breading-station ingredients in Tupperware containers the night before. That way, right before mealtime the following day, all I have to do is open them and pour them onto plates. It doesn't take long to fry these cutlets These cook quickly, so don't walk away or look at your phone. Tiffany Leigh Once my chicken breasts are breaded, I preheat my skillet over medium heat with a tablespoon of butter and a splash of olive oil. To achieve a golden-brown crust, I don't overcrowd my pan and make sure it's hot before adding the chicken. I usually fry one or two cutlets at a time. I keep my stick of butter and bottle of olive oil close by so I can add more to my pan as I fry. Roughly 1 tablespoon of butter and 1 tablespoon of olive oil per cutlet is enough to cook the exterior and keep the chicken juicy and moist on the inside. The chicken is thin, and it will only take about two minutes on each side to cook and turn golden brown, so keep a watchful eye as you fry. The chicken pairs well with greens, and is versatile left over On this night, I served my chicken with a leftover kale salad. Tiffany Leigh Garten's recipe also includes topping each cutlet with greens tossed with a simple homemade lemon vinaigrette, but I usually skip these steps. Instead, I simply squeeze a little fresh lemon juice over the chicken before eating. The sweetness and umami from the cheese crust contrasts nicely with the acid from the lemon. Then, I pair these cutlets with whatever greens I have on hand. On this night, that was a leftover kale salad I'd made the night before. Later in the week, I turn my leftovers into great lunches. Some days, I cut up a cutlet and pack it in my partner's lunchbox with a light salad or some quinoa. Other times, I heat up cutlets in my air fryer for five to eight minutes at 350 degrees Fahrenheit, then put them on hoagie rolls with marinara sauce and mozzarella. All in all, this recipe's earned a permanent spot in my weeknight rotation Ina Garten's recipe helps me make a flavorful dish on busy weeknights. Tiffany Leigh Ultimately, I love how versatile this meal is for adults and children. When serving this to my daughter, I even cut the cutlets up into cubes so she thinks she is eating chicken nuggets. Plus, it's much lighter and cheaper than many takeout orders, and I like that I can enjoy crispy chicken without busting out the deep fryer. All in all, this remains my go-to recipe when I want to pull together a weeknight meal that tastes as if it came from a gourmet restaurant — and have tasty leftovers for days. Read the original article on Business Insider

Datanami
featuresai compute capacityai infrastructurecloud computingdata centersdistributed computinggenesis missiongpu computinggpu utilizationhigh performance computingnational compute griddatadatanamiopenaianthropicgoogleraginferenceroboticsgpunvidia

For all the talk about a shortage of AI computing power, and the need for more powerful chips and bigger data centers, there’s another side to the story. A significant amount of existing capacity isn’t being used. While tech companies race to build massive new data centers, expensive GPUs in other facilities can sit idle […] The post National Compute Grid Launches to Pool Idle AI Capacity Across Providers appeared first on BigDATAwire.

TechRepublic AI
artificial intelligencenewstech & worktech industryai investmentai jobsasia-pacificeconomic growthglobal economyimfworkforce automationtechtechrepublic ai

The IMF says AI investment is supporting global growth near 3%, but warns that 40% of jobs could be affected and financial markets face growing risks. The post IMF Says AI Is Boosting Global Growth but Could Affect 40% of Jobs appeared first on TechRepublic.

SiliconANGLE AI
aicube event coveragenewsthe-latestthecubethecubepodthecubepodcastai architectureai bubbleai inferenceai infrastructurebubblecoreweavedave vellanteenterprise aiibminferencejohn furriermarvellnebiusnvidiaopenaioraclered hatthecube podcastthecube researchtechsiliconangle ai

Americans have big concerns about artificial intelligence, but that hasn’t stopped OpenAI Inc., Nvidia Corp., IBM Corp. and others from charging ahead. Last week saw shares of Nvidia, CoreWeave Inc., Oracle Corp. and Nebius Group N.V. decline amid reports that OpenAI’s annualized net revenue was approximately $50 billion, roughly $20 billion below previously reported figures. […] The post On theCUBE Pod: AI doubters get loud, and IBM seeks competitive advantage appeared first on SiliconANGLE.

TechRepublic AI
artificial intelligencegooglenewsprivacywearable techdata privacyfitbitflo healthhealth trackingwearable technologywomen's healthtechtechrepublic ai

Google is investing in Flo Health to connect menstrual cycle tracking with wearable data, expand women's health research, and develop personalized AI tools. The post Google Invests in Flo Health to Bring Period Tracking to Wearables appeared first on TechRepublic.

Computerworld
artificial intelligence, enterprise applications, finance and accounting systems, hris, vendors and providers, workdaytechcomputerworldclaudeanthropicgeminigoogleragagentagents

When Workday acquired Sana just about a year ago, it said that the combination of Sana’s AI with Workday’s platform would create a new “front door” to work. Today at its Workday Rising conference, it unveiled that front door, turning Sana into Workday’s default home screen that, it said, “brings tasks, decisions, meetings, and agent activity into one place, helping employees move directly from what needs attention to getting it done.” The new interface goes beyond merely answering questions to orchestrating Workday’s agents to execute tasks. Each employee’s experience is tailored to their role; when they open the application, they see the tasks and decisions that need their attention and can take action directly from the UI. And, using TypeSafe’s Jev AI model, Sana adapts its UI to each task, the company said, generating forms, calendars, approval cards, visualizations, and other interactive experiences in real time and completing tasks once the employee approves the action. It also supports work that spans multiple days, displaying relevant information at every stage of functions such as financial closing or preparation of workforce plans by HR. Sana also works within other AI tools and platforms including Anthropic Claude, Google Cloud’s Gemini Enterprise, and Microsoft Copilot, as well as within Microsoft Teams and Slack. But, Workday said in its announcement, “third-party AI tools and platforms never get raw access to Workday data — they can now access this data through Sana, and Sana does the reasoning, applies each company’s own permissions, approvals, and policies, and carries out the work so actions are lawful by design and recorded, regardless of the tool it started in.” Along with the Sana home page, known as Workday Home, the company introduced Sana Concierge, which brings together the self-service capabilities and Sana for IT Service Management released earlier this year with Workday Help and Case Agent to create AI-native employee services spanning HR and IT. Workday said it can resolve requests such as password resets, access requests, and questions about time off and payroll, as well as performing onboarding and offboarding. The employee just submits a natural language request, and Concierge looks up relevant policies and, based on the employee’s Workday information, guides them through the steps to complete their request. If a human decision is needed, Concierge routes the request to the right person in the background, but remains the employee’s point of contact. The Sana Workday Home experience is available today, with more capabilities and support “coming soon,” the company said. Sana Concierge is available now to early adopter customers, with general availability expected in the first quarter of 2027. From copilots to autopilots The company also introduced four new autonomous AI agents that act as autopilots across hiring, payroll, accounting, and compliance. “From co-pilots to autopilots, that’s a big transition that you will see across our agents today,” said Joel Hellermark, former CEO of Sana, who is now Workday’s chief AI officer. “These are now agents that anticipate what needs attention, they apply the company’s policies, they advise on the next step, and then act once the appropriate person approves that. And these autopilots run completely on Workday’s rails, so they’re self-governed and compliant.” And, he said, while a typical copilot-driven system “sits there” until the user logs in, autopilot agents run on a heartbeat, operating whether or not the user is online. The Talent Acquisition Agent, for example, monitors the open job queue from the time a position is posted, finding qualified candidates and giving the recruiter information about them. It can generate outreach to potential hires and present it to the recruiter for approval, explain why candidates on a short list are a good fit, and schedule interviews with those the recruiter flags. It then automatically joins the interview and takes notes. Based on recruiter feedback, the agent learns how to improve its recommendations. The agent works across multiple recruiting tools, including Workday Recruiting, HiredScore, Paradox, native Workday skills, and connected sourcing providers. The autopilot capabilities are available to early adopter customers today, with general availability planned for early 2027. Three more autopilots will arrive for early adopters in early 2027, for Payroll Agent, Accounting Agent, and Deployment Agent. This could be the start of a change in the coordination of work, said Melody Brue, analyst in residence at Moor Insights & Strategy. “Workday is trying to connect more of the work around a decision, from weighing options to carrying out the approved plan,” she said. “Sana could become the starting point for that process, giving Workday a larger role in coordinating work beyond its own applications. For current customers, the meaningful change would be less manual coordination between a request, an approval, and a completed transaction. The value depends on whether that reduces the work employees have to manage or shifts it into resolving exceptions when a workflow crosses systems.” Extending Decision Intelligence Workday Decision Intelligence, first seen in Adaptive from Workday, is spreading into more areas of the business, said Yasmeen Ahmad, SVP and GM, Workday Data Cloud. Decision Intelligence is not an agent performing a task, she said. “It’s a planning and reasoning experience built for decisions that are too complex, too high stakes, or too cross-functional for any single task to capture.” Ahmad described a scenario in which HR revised a hiring plan using Decision Intelligence, passing it to Finance to use as an input for reviewing its quarterly projections with the same tool. “Normally this would have taken six weeks, five spreadsheets, and analysts trying to stitch it together. Today, it was all just a prompt,” she said. Brue said that what she finds interesting is whether Workday can take more of the manual modeling out of a staffing discussion. “Workday already supports connected workforce and financial planning,” she said. “If teams can work through several options with fewer model adjustments and less reliance on specialists for routine ones, planning could be more responsive when business needs change.” Work Intelligence Work Intelligence, available to early access Workday Human Capital Management customers, breaks jobs into their component tasks, describing the skills employees need to perform them. It draws on Workday Skills Cloud, giving leaders a look at how jobs are changing, and then, using Decision Intelligence, companies can get a picture of their internal readiness for evolving work. “The task-level analysis is worth watching,” Brue said. “A role is rarely entirely automatable or entirely human-led. Looking inside the role could give customers a more useful basis for redesigning work. But saving time across a dozen tasks doesn’t automatically free someone up for a different assignment. Companies may need to regroup the work, letting agents handle routine steps together and giving employees clear responsibility for what comes next.” Off with its head Workday also announced that its Trusted Agent Platform, on which organizations build and run AI agents governed by their business rules, is now headless, allowing customers to use the development tools and models of their choice. It brings together the existing Workday Data Cloud, Agent-Ready Tools, Developer Agent, custom agents, and Agent Harness. However, Workday CTO Gabe Monroy emphasized that, at the same time, “headless can’t mean lawless. The rules for HR and finance already live in Workday, so customers don’t have to rebuild them for every agent they create. This is what lets companies move fast with agents without losing control.” And, to enhance the controls, in early 2027 the company will add Agent Context Service and Grounded Reasoning to Agent Harness to provide Workday context that agents need and check requests against company policies, business processes, and tenant data before the agent is allowed to act. “Governance gets more consequential as agents move from recommendations to actions,” Brue pointed out. “An agent can be authorized and still make the wrong call. Customers need to distinguish permission to recommend from permission to execute. And know which actions require human approval, especially in hiring and finance. The governance question extends to any workflow that crosses platforms. Customers need clear ownership of approvals, exceptions, and the audit trail when a request starts in one system, and an agent acts in another.” For companies already using Workday and ServiceNow together, she said, there’s an additional consideration: Workday’s expansion into employee-facing AI and agent governance could create more overlap between platforms that have traditionally played complementary roles. “Joint customers don’t suddenly need to choose one, but they may need to clarify which platform coordinates the work and how controls operate across both,” she said. “A unified experience won’t necessarily mean unified control.” This article first appeared on CIO.

AI Accelerator Institute
aiailive sessionagentic aiaiai accelerator institutechatgptmetaragagent

Agentic commerce is no longer just a shopper-side story. The same AI that guides your customers is now reaching into the back office, where merchandisers still configure rules, analyze performance, and replicate campaigns across storefronts by hand.

Business Insider
newsbusiness insider

Growing up, I always wanted to move into a van and travel the world. Cara Schrock I dreamed of traveling the US by van, but I planned to wait until I retired in my 60s. After losing my mom to early-onset Alzheimer's, I bought my first van at 45. Four years later, I'm still traveling by van, and so glad I didn't wait. My 16-year-old self had it all figured out: I wanted to live in a van and travel the US. Time did what time does, though, and practical lessons from older relatives slowly pushed those dreams to the back of my mind. Instead of saving for a Volkswagen bus, I saved for my first home, because that was considered a smart investment. Then I saved for my second house, because bigger is better. After all, that's what my parents did, and it's what they taught their kids to do, too. I was never one to blindly follow the crowd. My favorite compliment I ever received from my mom was that I "walked to the beat of my own drum," but when it came to my life's trajectory, I stayed right in line with the rest of the band. My plans changed after losing my mom After losing my mom, I decided I didn't want to wait to follow my dreams. Cara Schrock Before my mom even reached retirement age, she was diagnosed with early-onset Alzheimer's and forced into early retirement. My dad continued to work until 65, but during the retirement they had spent their adult lives planning for, my mom needed too much care to travel, and my dad became her full-time caregiver. I was 44 when she passed away, and suddenly I saw what life could look like when you save everything you want to do for a day that may never come. I had already been dreaming of a retirement full of international travel and touring the US in an RV. After losing my mom, I couldn't shake the thought that if this happened to her, who was to say it couldn't happen to me? My mind started running calculations. If I followed in my mom's footsteps, I might have 20 years before I needed the kind of stability and care that a life of travel wouldn't provide. So at 45, I bought the van, 20 years ahead of schedule. I was still working full-time, though, I couldn't dive right into full-time travel. I also had a kid finishing his senior year in high school, so I kept a home base. While he stayed home with his dad, I took shorter trips that didn't last longer than a couple of weeks. Once he left for college, my travel turned full-time, although I still return home during his breaks because I don't want to miss that time with my son. Traveling by van has had highs and lows, but I'm so glad I took the leap when I did Living in a van while working full-time has been tough, but it's worth it. Cara Shrock My first year was full of awe and wonder. I've lived in the US my entire life, yet I felt like I was witnessing for the first time a country I thought I already knew. Landscapes that had humbled me in other countries were right here at home. Big Bend National Park was my first major destination out west. As a lifelong East Coaster, I couldn't hit my camera shutter button fast enough. I skipped around boulders in Joshua Tree as if I had just landed on another planet. My two senior dogs, Robbie and Atticus, were with me every step of the way, and knowing we'd shared these new experiences brought me comfort when I had to say goodbye to Robbie. If I had waited any longer to buy the van, I never would have seen the joy on his face as he ran up the massive dunes at White Sands National Park or rested in the sun in the Arizona wilderness. The first year was not all magical moments, though. I was still working full-time remotely, often from the West Coast on East Coast hours. Starting at 6 a.m. left a lot of the day open for exploring, but there were also times I had to pull over for a Zoom call or find a semi-quiet truck stop for a meeting. On top of that, there were endless van-life logistics to figure out, from water pumps and charging issues to constant decision fatigue. Still, I was grateful to be following my dreams and seeing the world. I've now been living this way for over four years and even purchased a fully-custom second van, something I never saw coming when I bought the first. It's a big step up from a 1969 VW Bus in many ways, but the outcome is the same. My van has opened up a much bigger world than the one I was living in, and I'm glad I didn't wait another 20 years to start exploring it. Read the original article on Business Insider