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It used to be that Google searches opened up a world of questions. You searched, sifted through links, and came to your own conclusion. Today, AI Overviews, ChatGPT, Perplexity, and other AI platforms compress multiple sources into a single, synthesized response. In the process, nuance is flattened, and certain viewpoints can be overrepresented. This marks a fundamental shift in online reputation management. Search engines now shape the information they surface. The result is a rise in zero-click behavior, where users accept AI-generated answers without visiting underlying sources. For brands, that changes the stakes. Visibility no longer guarantees influence. Even a No. 1 ranking can be bypassed if the narrative tells a different story. AI narrative formation: How AI systems deliver users their answers AI search engines now follow a new pattern for delivering answers. For the sake of this article, we’ll call it AI narrative formation. Here’s how it works. Source pooling AI systems pull from a wide range of sources. While you might expect trusted, peer-reviewed content, they often draw from Reddit, YouTube, review platforms, complaint forums, and social media sites like Instagram and TikTok. Signal weighting Not all sources carry equal weight. A single trusted source can be outweighed by a large volume of lower-quality content. For example, a highly active Reddit thread filled with negative reviews may outperform a fact-checked source like Wikipedia. Narrative compression AI condenses dozens of inputs into a short, digestible summary. In the process, nuance is lost, and fringe cases can become dominant themes. A complex reputation may be reduced to: “Users say this company is not trustworthy.” Continued reinforcement These summaries don’t stay contained. They’re screenshotted, shared, and repeated across platforms. Those repetitions become new inputs, reinforcing the same narrative in future AI outputs. Dig deeper: The authority era: How AI is reshaping what ranks in search See the complete picture of your search visibility. Track, optimize, and win in Google and AI search from one platform. Start Free Trial Get started with How a finance company’s solid reputation unraveled in AI search To see how AI narrative formation works in action, let’s look at a use case. My company recently worked with a finance organization to repair its online reputation. For this example, we’ll call it Company X. Problems emerged for Company X with the rise of Google AI Overview. Previously, under traditional SERPs, Company X had a solid reputation. Users searching Google for reviews would find a 4.2 rating on Trustpilot, a strong company website with employee bios, and numerous positive blog reviews from trusted sources. Google AI Overview changed that. How? By resurfacing an old Reddit forum centered on negative complaints about Company X. When users asked Google, “What are opinions like about Company X?” AI Overview delivered a clear answer: “Company X has mixed reviews, with specific complaints regarding customer service.” But those customer service issues were resolved nearly a decade ago. AI Overview pulled multiple reviews from that Reddit thread, combined them with strong negative phrasing, and factored in the lack of structured positive content to form a semi-negative impression. A new perception of Company X was created. Get the newsletter search marketers rely on. See terms. Why AI search amplifies reputational risk We can dig deeper into how AI impacts reputational risk. Consider the following: How negative AI narratives spread: In traditional search, users had to dig for negative results. With LLMs, those results can surface instantly, even when they’re defamatory or incorrect. Hallucinations and misinformation: Most users are now aware of AI hallucinations, but they aren’t always easy to spot. Making matters worse, LLMs can present incorrect claims or factual inconsistencies with confidence. The snowball effect: As discussed in narrative reinforcement, AI-generated answers get screenshotted, shared, and repeated across platforms. That repetition builds momentum, creating challenges ORM firms now have to manage. A hard truth has emerged in ORM: The most accurate claim doesn’t rise to the top. The most repeated claim does. Dig deeper: Generative AI and defamation: What the new reputation threats look like A step-by-step guide to auditing AI-generated narrative formation Let’s walk through another case to see how an AI-generated narrative can be audited. CEO X is the founder of a SaaS company. He has an ongoing thought leadership presence and a strong reputation in his industry. On a recent podcast appearance, one quote was taken out of context and aggregated across several platforms. The quote was framed as an opinion rather than a fact. Blog posts were written, and Instagram Live reactions spread online. In no time, ChatGPT and Google AI Overview turned CEO X into a controversial figure. Here’s a step-by-step guide to approaching that reputation management crisis. Step 1: Mapping queries We begin by identifying what search engines are saying about CEO X. We ask ChatGPT and Google AI Overview questions such as “What did CEO X say?” and “What is CEO X’s current reputation?” This helps us analyze the issues. Step 2: Capturing outputs We identify the claims associated with CEO X. Google AI Overview and ChatGPT describe CEO X as a controversial figure who recently made comments in poor taste. The narrative formed across both platforms is trending negative. Step 3: Delving through sources Next, we analyze the sources AI Overviews and ChatGPT rely on. We look for whether they’re outdated, repetitive, or low quality. (In the case of Company X, the latter two apply.) Step 4: Analyzing the narrative gap We identify the gap between AI’s narrative and reality. What are CEO X’s actual views? What was the context of the quote? And what has their reputation been up to this point? Step 5: Correcting and replacing sources The final step is to replace or respond to those negative sources. Claims can be addressed directly on Reddit, Instagram, or other platforms spreading the narrative. Structured explanations should also be published through FAQs and policies, while strengthening third-party validation. Dig deeper: How AI changes how we respond to negative reviews and comments A new mindset: Reputation is now an output Focusing solely on SEO rankings is no longer enough. We need to think in terms of narrative shifts and framing. That also means thinking in terms of inputs and outputs. Users aren’t evaluating individual pages. They’re engaging with AI-generated answers. Rather than managing what users find, we need to manage the answers AI systems deliver. That means strengthening what those systems rely on: Publishing high-quality first-party content. Earning credible third-party mentions. Reinforcing positive customer reviews. Addressing misinformation directly. Improving structured data. Maintaining accurate Wikipedia or Wikidata entries where applicable. View the full article

Most travel is extractive and passive. You show up somewhere, take photos of the same landmarks everyone else takes photos of, eat at a restaurant the guidebook recommended, and hit up some bars. You take some tours to learn about the place and, if you’re lucky, get to meet some locals on your trip. You don’t really go deep. Even long-term travelers who talk about how they “aren’t tourists” do the same – just at a slower pace and while trying to spend less money. And there’s nothing wrong with that. That’s just the nature of travel. While we all imagine dropping into a place, befriending locals, and having this crazy time like we’re in some movies. But that doesn’t happen. Because we’re just passing through and, for the most part, locals don’t want to become friends with tourists. In fact, most locals don’t interact with tourists. (I mean it does happen but it’s not the norm.) If you really want a deep travel experience, you need to stay. If you want to understand a place, you need to stay. The most transformative travel experiences I’ve ever had involved contributing something and staying somewhere long enough to build real relationships. It was being embedded in a place rather than just passing through. I think that more travelers should give back when they travel. In the old days, it was hard to find out what organizations and opportunities were legit, vetted, and actually made the lives of locals better. Now, there’s a ton of companies that can help you not only find meaningful volunteer jobs when you travel but also paid jobs when you travel and one of the best ones is Global Work & Travel. Use code NOMADICMATT to unlock a discount on your next trip. What Global Work & Travel Does Global Work & Travel is the world’s largest gap year company and has been placing people on working holidays, volunteer programs, teaching positions, internships, and more for nearly 2 decades. They’ve helped over 116,000 people and they cover destinations across, the UK and Europe, the Americas, Asia, Africa, and the Pacific. Even for experienced travelers, moving abroad can be difficult. Finding employment as a traveler, securing permanent accommodation or getting stuck in shared rooms for months on end, transport costs in a new city, interview after interview competing against locals… This is just the beginning of what long term travelers need to consider. Fortunately, companies like Global Work & Travel provide the scaffolding or safety net that makes working abroad possible for people who don’t want to figure everything out themselves. They handle job matching, pre-departure support, visa guidance, placement, and ongoing assistance through their gWorld portal, a personal trip management app that keeps everything organized in one place. For first-timers especially, having that support structure can be the difference between actually going and endlessly deliberating. The programs they offer span a wide range: Working Holidays – Get paid job matches in countries like Australia, Canada, UK, New Zealand, South Korea and Japan before you even leave home. Global Work & Travel also helps you set up necessary bank accounts, tax numbers, accommodation assistance, visa support and more. Duration: 4+ months. Ages 18–35 depending on nationality. Volunteer Abroad – Work with exotic wildlife, immerse into incredible cultures, teaching, community work, construction and more across many countries. Open to ages 18–85, from as little as 1 week. Teach Abroad – Gain an internationally recognized TEFL certification and paid job match. Included is accommodation, cultural activities, visa application support, bank and tax set up assistance to ensure everything goes smoothly. Teach English in Thailand, Vietnam, Japan, Mexico and more. Ages 18–80. Au Pair – Become a local by living with a host family in Europe, UK, Australia, New Zealand, or North America. Accommodation, and most living expenses are usually covered. Summer Camp – Ever seen the movie Parent Trap? Well, this is pretty much it. Work as a guide, camp counsellor or otherwise at camps in the USA, France, Canada or the UK for 3–6 months. Accommodation and meals included. Internships – Real-world placements in international firms. Give your career a head start with specialized international work experience. Why I Think Working Holiday Makers Are the New “Digital Nomads” For the past decade, “digital nomad” has been the aspirational version of long term travel. Work remotely, earn in a strong currency, live somewhere cheaper, repeat. But that model only really works for a small subset of people. You need a remote job, a certain income level, and often a level of career stability that most younger travelers simply don’t have yet. Working holidays flip that. Instead of bringing a job with you, you get one when you arrive. You integrate into the local economy instead of floating above it. You meet people through work, not just coworking spaces or short-term hostels. And you build a life somewhere, not just a temporary routine. In a lot of ways, working holiday makers are having a more grounded and accessible version of what people think digital nomad life is. You’re not just passing through, you’re actually living there. You have coworkers, a schedule, a reason to stay longer than a week, and a chance to build real lifetime connections. It’s also far more realistic for most people. You don’t need a remote business or years of experience. You just need the willingness to go and the right setup to make it happen. That’s why I think we’re seeing a shift. Less “how do I work remotely?” and more “how do I actually live and work abroad for a year?” And that’s exactly where structured programs like Global Work & Travel come in. They remove the biggest barriers, finding a job, navigating visas, getting set up, so people can actually make that shift from idea to reality. For a lot of travelers, this isn’t just an alternative to digital nomad life. It’s a more sustainable, accessible, and realistic way to actually live and work abroad. Why I think Volunteering Matters Volunteering abroad has a complicated reputation, and it’s worth being honest about that. There are lots of bad volunteer programs out there in the world. Programs that don’t really give back and are designed to make travelers “feel” like they did something but really are just profit driven campaigns. Global Work & Travel’s vets programs in the areas such as wildlife conservation, community development, education, and healthcare in the locations and countries it operates so you know the program you sign up for is legit. The case for ethical, well-structured volunteering is genuinely strong. When you work alongside local Zanzibar communities on problems they’ve defined as priorities, or with wildlife and conservation in South Africa or Elephant rehabilitation in Thailand — something shifts in how you understand the world. Not only are you helping to give back to a place but you also understand the true needs of a the people and ecosystems living there, but also helping overcome the struggles they go through. It opens your mind and shifts your perspective. Their Global Animal Welfare Fund also channels resources directly into conservation projects at their partner sites, so the impact extends beyond individual placements. What I Love About Working Holidays Working holidays let you truly experience a country instead of just visiting it. You immerse yourself in the culture by living like a local every day. You meet more people both locals and fellow travellers while building real friendships. Best of all, you get paid to travel, so you can stay much longer instead of rushing through in a few weeks. This lets you experience local life deeply, discover hidden spots, and understand how people really live in different places. You also build valuable skills, boost your resume with international experience, and make long-term travel more affordable since your income covers the costs. Plus, you gain a real cultural understanding that no short holiday can match. All that while stil getting paid? Not bad right?! Working holidays turn travel into a true lifestyle, not just another 2 week vacation. What I Like About How Global Work & Travel Operates Global Work & Travel are the world leaders in long term travel and offer a ton of options for travelers looking to volunteer, work, or spend extended time in a destination. Some things I like about them. Their lifetime deposit policy is genuinely unusual: if your plans change, your deposit doesn’t disappear. It stays on your account indefinitely and can be transferred to a different program or destination The gWorld portal is genuinely useful. This pre-departure tool that helps you with your visa application, access exclusive deals, connect with others on your program, and even begin language learning before you arrive. They have transparent 24/5 worldwide human support. When something goes wrong abroad, being able to reach a human in local time is worth more than any amount of pre-trip planning. With over 619k followers on Instagram, it’s easy to connect with and make friends with people before you go. A structured start to your trip is the best way to save money, time and stress. The Global network and support are there to help and guide you from start to finish. Use code NOMADICMATT for a discount on your trip. Frequently Asked Questions Do I need prior experience to work abroad with Global Work & Travel? For most trips, generally nothing more than basic work experience is required. Teaching programs include TEFL training, and volunteering can be started from no experience. What’s the minimum age? Most programs are open from age 18. Working holiday visas typically cap at 35 depending on the destination country but volunteer and teach programs are open to ages 18–80. How long does the whole process take? It varies by programs and destination. Most people book their trips 6-12 months in advance for proper planning, job matching and visa quotas. You can get started for as little as $1 here. Is my money safe if things change? Global Work & Travel and their lifetime deposit policy means your initial payment doesn’t expire. They are also members of many consumer protection services to further support travelers. Can I go as a solo traveler? Yes, and this is actually one of the most common scenarios. The gWorld Community and programs group connections mean you’ll be meeting others in the same position quickly. *** Travel has always been best when it’s been more than tourism. The moments that stay with you — that you actually tell people about five years later — are never the ones where you queued to see a famous landmark. They’re the ones where you connect with people. They are the moments where you did something. Global Work & Travel makes doing something deep accessible in a way that genuinely wasn’t available a decade ago. If you’ve been thinking about doing something like this but the logistics have felt too complicated, check them out and use code NOMADICMATT to unlock a $100 discount on your trip. How to Travel the World on $75 a DayMy New York Times best-selling book to travel will teach you how to master the art of travel so that you’ll get off save money, always find deals, and have a deeper travel experience. It’s your A to Z planning guide that the BBC called the “bible for budget travelers.” Click here to learn more and start reading it today! Book Your Trip: Logistical Tips and Tricks Book Your Flight Find a cheap flight by using Skyscanner. It’s my favorite search engine because it searches websites and airlines around the globe so you always know no stone is being left unturned. Book Your Accommodation You can book your hostel with Hostelworld. If you want to stay somewhere other than a hostel, use Booking.com as it consistently returns the cheapest rates for guesthouses and hotels. Don’t Forget Travel Insurance Travel insurance will protect you against illness, injury, theft, and cancellations. It’s comprehensive protection in case anything goes wrong. I never go on a trip without it as I’ve had to use it many times in the past. My favorite companies that offer the best service and value are: SafetyWing (best for budget travelers) World Nomads (best for mid-range travelers) InsureMyTrip (for those 70 and over) Medjet (for additional evacuation coverage) Want to Travel for Free? Travel credit cards allow you to earn points that can be redeemed for free flights and accommodation — all without any extra spending. Check out my guide to picking the right card and my current favorites to get started and see the latest best deals. Need a Rental Car? Discover Cars is a budget-friendly international car rental website. No matter where you’re headed, they’ll be able to find the best — and cheapest — rental for your trip! Need Help Finding Activities for Your Trip? Get Your Guide is a huge online marketplace where you can find cool walking tours, fun excursions, skip-the-line tickets, private guides, and more. Ready to Book Your Trip? Check out my resource page for the best companies to use when you travel. I list all the ones I use when I travel. They are the best in class and you can’t go wrong using them on your trip. The post Why This Company is One of the Best for Finding Work appeared first on Nomadic Matt's Travel Site. View the full article

OpenAI is expanding ChatGPT Ads and launching self-serve access. Here’s what PPC managers should know before deciding whether it deserves real budget. The post ChatGPT Ads: New Acquisition Channel Or Just Another Brand Tax? appeared first on Search Engine Journal. View the full article

Hello again, and welcome back to Fast Company’s Plugged In. More than 15 months ago, I wrote about Surf, a discovery engine for the social web from Flipboard—itself an earlier twist on the same concept dating to the early days of the iPad. At the time, it was still a rough draft, and in private beta. Rather than rushing it out to a broader audience, Flipboard took its time. The app went through a series of revisions that were both numerous and substantial, ending up significantly different than the intriguing prototype I tried in December 2024. This week, the company finally deemed Surf ready for prime time. It’s now live in web form at Surf.social; a beta Android version is in the Google Play store. (The iPhone and iPad versions still have a waitlist.) If you’ve grown jaded about social networking or the web in general, I recommend taking a look. Surf’s sheer ambition makes it a challenge to describe coherently. It weaves together material from Bluesky, Mastodon, and Threads—along with YouTube videos, podcasts, blog posts, and articles—and yet it isn’t really a substitute for those services’ own apps. It’s a way to create and share custom feeds about your interests that run on autopilot once you’ve set them up, but that’s optional—you can also just lurk and peruse other people’s feeds. And even though it runs inside a web browser, it feels a little like what browsers themselves might have become if they hadn’t largely stopped evolving almost 20 years ago. All I know for sure is that using Surf leaves me feeling better about the state of the internet. I am aware that the net is rapidly filling up with AI-generated slop, and that, furthermore, the technology’s impact on search and advertising threatens to disincentivize humans from bothering with the medium at all. But for now, there’s still lots of great stuff out there—and Surf is a refreshingly inventive way to find it. It would be inaccurate to describe Surf as an algorithm-free zone. Like Flipboard before it, it uses computer science to help identify what individual pieces of content are about so they can be woven together thematically. Unlike Facebook or TikTok, however, it isn’t a giant machine designed, above all, to keep you scrolling. Flipboard worked with individuals and outlets such as The Verge, 404 Media, and Rolling Stone to ensure that the app launched with a bevy of feeds worth following. The result feels curated, not stuffed to capacity. Even though Surf is decidedly human, it’s organized around interests and passions, not friendships or followers. It’s possible to skim individual Bluesky and Mastodon accounts, but that’s secondary to subscribing to topic-based feeds. Not surprisingly, politics and current events are available in great supply. But so are quieter pursuits that can get drowned out in the din of social networking in its more conventional form: books, cooking, hobbies, and fandoms of all kinds. The other thing about Surf that it has in common with Flipboard—and darn few other ways to consume digital content—is that it tries to present everything to its best advantage. Much of the rest of the field has a stunted feel, as if the highest possible aspiration was to rekindle the aesthetic of early Twitter. Surf, by contrast, complements its Posts tab with ones called Watch, Read, Listen, and Look, each optimized for a different sort of media. In Look, for example, photos are so downright expansive that they make the ones in other social apps look like postage stamps. Surf lets you sign in with your Bluesky and/or Mastodon accounts, allowing you to comment, like, and share on those networks. Some of its feeds are set up as communities unto themselves, letting you post items with a hashtag to pipe them into the flow. Overall, though, it has a magazine-y vibe that’s conducive to leaning back and enjoying what other people are sharing. If all those Twitter-style apps have the spirit of talk radio, this one feels more like a Sunday newspaper. Even after well over a year of incubation, Surf is clearly a first pass at a bigger idea. I occasionally found the way it intermingles multiple social networks befuddling, especially when I was thinking about liking or sharing something and couldn’t quite tell if that involved Bluesky or Mastodon. The long-term goal, Flipboard CEO Mike McCue told me recently, is not only to make that cross-pollination smoother, but to render it irrelevant for many users. “Some people have a Bluesky account, some people have a Mastodon account, some people don’t have either of those,” he explained. “In fact, most people don’t even know what those things are. So what we want to do is make it all about the community, not about joining the social web.” Participating in Surf, McCue said, should be as easy as joining Substack and easier than joining Discord, regardless of where items of interest originated. Given the temptation to give in to dark thoughts about where the internet is headed, I am excited to see where this bright spot could take us. You’ve been reading Plugged In, Fast Company’s weekly tech newsletter from me, global technology editor Harry McCracken. If a friend or colleague forwarded this edition to you—or if you’re reading it on fastcompany.com—you can check out previous issues and sign up to get it yourself every Friday morning. I love hearing from you: Ping me at hmccracken@fastcompany.com with your feedback and ideas for future newsletters. I’m also on Bluesky, Mastodon, and Threads, and you can follow Plugged In on Flipboard. More top tech stories from Fast Company How Disney Imagineers are using AI and robotics to reshape the company’s theme parks From robotic Olaf to reinforcement learning, the company is rethinking how its attractions come to life. Read More → Y Combinator’s CEO says he ships 37,000 lines of AI code per day. A developer looked under the hood After Garry Tan touted his agentic coding output, a developer found inefficiencies, code bloat, and rookie mistakes lurking in production. Read More → I ate lab-grown salmon. It was nothing like I expected A San Francisco startup is trying to make ‘cultivated’ fish a thing. Read More → OpenAI’s gigantic new funding round renews fears about the company’s profitability and cash burn The stakes of Big AI’s bet that it will transform business and personal life seem to be growing by leaps and bounds. Read More → The AI industry loves token inflation. Your company shouldn’t The brute-force model is starting to look less like technological inevitability and more like lazy architecture. Read More → Apple at 50: The tech giant’s best, worst, and weirdest ideas Over five decades, Apple has built some of the most influential tech ever made—and some genuinely strange flops. These are the highs, lows, and oddities. Read More → View the full article

When you’re looking to conduct a business background check, it’s vital to follow a structured approach. Start by verifying the business’s registration and physical address, which establishes its legitimacy. Next, assess financial records to comprehend its economic health. Investigating funding sources can reveal potential risks, whereas evaluating compliance with regulatory standards guarantees adherence to legal requirements. Finally, a thorough risk assessment will help you identify various types of risks associated with the business. Grasping these steps is fundamental for making well-informed decisions. Key Takeaways Verify the business’s registration status and physical address through official state or country registries. Assess financial records, including profit and loss statements and tax returns, for compliance and health. Investigate funding sources to confirm legal backing and identify any high-risk associations. Evaluate compliance with regulatory standards, including Anti-Money Laundering (AML) and global regulations. Perform a comprehensive risk assessment focusing on financial, operational, reputational, legal, and ownership risks. Verify Business Registration and Addresses When you’re conducting a business background check, one of the first steps is to verify business registration and addresses. This involves checking the official state or country registry to confirm that the business is legally recognized and compliant with local laws. You can often find online databases where you can search for businesses by name or registration number, making this process more accessible. Address verification is equally important, as it guarantees the business operates from a legitimate physical location, minimizing the risk of fraud associated with virtual or unregistered addresses. Accurate address information helps you assess the legitimacy of the company background and can reveal any discrepancies in claims made during your due diligence. Regularly updating and verifying business registration and addresses is vital for maintaining compliance and guaranteeing ongoing transparency in corporate relationships, helping you make informed decisions in the background check on a business. Assess Financial Records After confirming a business’s registration and address, the next step is to evaluate its financial records. This evaluation is vital for comprehending the company’s financial health. Review profit and loss statements, balance sheets, and cash flow statements to get a clear picture of its performance. Look for any irregularities or discrepancies that could signal potential fraud or mismanagement. Examine tax returns for the past three to five years to guarantee compliance with regulations and gauge financial stability. Grasping the company’s credit history, including credit scores and outstanding debts, is likewise fundamental for appraising its ability to meet financial obligations. These records can reveal financial red flags, such as patterns that might indicate money laundering or tax evasion. By thoroughly evaluating these documents, you’ll gain valuable insights into the business’s financial practices and overall reliability. Investigate Funding Sources How can you confirm that a business’s funding sources are legitimate and transparent? Investigating funding sources is crucial for protecting yourself from hidden liabilities or financial instability. Start by verifying the origins of capital investments, such as bank statements and investment agreements, to guarantee funds come from reputable avenues. This process can reveal associations with high-risk entities, potentially flagging illegal activities like money laundering. Utilizing thorough Know Your Business (KYB) solutions provides access to billions of data points, facilitating an in-depth evaluation of the company’s financial history and stakeholders involved. Step Action Purpose Verify Capital Sources Examine Example Bank statements Confirm legitimacy of funding Review Investment Docs Analyze agreements Guarantee proper legal backing Assess Risk Associations Identify high-risk entities Prevent association with illegal activities Utilize KYB Solutions Access extensive data points Conduct a thorough background check Monitor Fraud Trends Stay updated on industry fraud rates Make informed partnership decisions Evaluate Compliance With Regulatory Standards Evaluating compliance with regulatory standards involves a careful review of a business’s adherence to legal requirements that govern its operations. This step is crucial to mitigate risks and protect your organization. Here are key areas to focus on: Anti-Money Laundering (AML) Regulations: Confirm the business performs due diligence to prevent financial crimes, considering that nearly 70% of companies report an increase in fraud incidents. Know Your Business (KYB) Process: Verify the legitimacy of corporate entities, including checks on registration, ownership structure, and funding sources. Mergers and Acquisitions: Conduct thorough background checks to uncover potential risks and confirm transparency, safeguarding against legal liabilities. Global Regulations: Adhere to guidelines from the Financial Action Task Force (FATF) to enforce due diligence in partnerships, combating money laundering and terrorist financing. Perform a Comprehensive Risk Assessment When you’re considering a new business partner or vendor, performing a thorough risk assessment is essential to safeguard your organization from potential pitfalls. This assessment should evaluate financial, operational, and reputational risks linked to the entity. Start with a detailed analysis of their financial history, including profitability and debt levels. Investigate the ownership structure to uncover any potential conflicts of interest. Utilizing various tools can help you gather vital data. Here’s a table to outline key components of your risk assessment: Risk Category Evaluation Focus Financial Risks Profitability, debt levels, bankruptcies Operational Risks Business processes, supply chain issues Reputational Risks Public perception, past scandals Legal Risks Regulatory violations, lawsuits Ownership Risks Conflicts of interest, key individuals Conducting a thorough risk assessment can greatly reduce unexpected challenges and protect your organization. Frequently Asked Questions What Information Does a Company Need to Do a Background Check? To conduct a background check, a company needs several key pieces of information. You’ll typically provide your full legal name, Social Security number, and date of birth for accurate identification. Previous addresses are essential for verifying your criminal and employment history. The organization likewise requires your consent through a signed authorization, ensuring compliance with legal standards. Depending on the role, additional details like employment history or educational background may be necessary for verification. How to Open a Background Check for a Business? To open a background check for a business, start by collecting key details like the business name, registration number, and address. Next, use a reputable Know Your Business (KYB) solution to access extensive databases for verification. Conduct thorough due diligence by verifying the business structure, evaluating funding sources, and ensuring compliance with regulations. Finally, perform risk evaluations and compile your findings into a clear report for stakeholders, highlighting any risks or discrepancies identified. What Are the Steps You Should Take to Properly Prepare for a Background Check? To prepare for a background check, start by obtaining written consent from the candidate, which guarantees compliance with the Fair Credit Reporting Act. Clearly communicate the specific checks being conducted, such as criminal history or employment verification. Collect detailed candidate information, including their full name and previous addresses, to facilitate accurate checks. Finally, select a reliable background check service that adheres to FCRA regulations, assuring thorough and accurate reporting throughout the process. What Kind of Background Check Do Most Companies Run? Most companies typically run several types of background checks to guarantee candidates are suitable for the role. These often include criminal background checks, which identify any violent crimes or fraud, and employment history verification, confirming previous job roles and dates. Educational checks validate degrees claimed, whereas credit checks assess financial reliability for positions with monetary responsibilities. Furthermore, reference checks provide insights into a candidate’s work ethic and performance from past employers. Conclusion To sum up, conducting a business background check is essential for making informed decisions. By verifying registration and addresses, evaluating financial records, investigating funding sources, reviewing compliance with regulations, and performing a thorough risk assessment, you can identify potential risks and validate a business’s legitimacy. These steps not only safeguard your interests but likewise improve your grasp of the company’s overall health and stability, allowing for more strategic and informed business dealings. Image via Google Gemini and ArtSmart This article, "5 Essential Steps for a Business Background Check" was first published on Small Business Trends View the full article

In February I shared how Grokipedia started dropping heavily in Google after initially surging. It became yet another example of what I call "Mt. AI". That's when sites scaling heavily with AI-generated content initially surge in Google, but then drop heavily as Google's systems...View the full article

Baltimore, known for being a leader in medicine and technology as well as for its fiercely community-driven residents, is one of many cities trying to determine how to grapple with some of AI’s most pressing issues. And recently, the city has been sounding the alarm. Artificial intelligence is changing the way we live and work. In many ways, the tools are wildly helpful—solving business problems, advancing medicine, and even helping solopreneurs thrive without a team. However, the technology comes with some worrisome drawbacks and, given the lack of federal oversight, the risks are beginning to reshape local politics. That seems especially true in Baltimore, where just last week the city sued Elon Musk’s company xAI over its chatbot Grok. SpaceX, the parent company of xAI, along with the X social network, are also named as defendants. Filed in the Baltimore City Circuit Court, the lawsuit argues that both the xAI platform and Grok have already been used to generate 3 million sexualized images between December 29, 2025, and January 8, 2026; 23,000 of those images appeared to have depicted children, according to researchers at the Center for Countering Digital Hate. “Baltimore residents have a reasonable expectation that they will not be exposed to this illegal content on X, and that X will not harass its own customers with Grok-generated deepfakes,” the complaint read. Prior to the lawsuit, other smaller suits have been filed. In March, three Tennessee teenagers sued xAI, alleging that the tools were used to turn their likenesses into explicitly sexual images. The plaintiffs alleged that their mental health has suffered as a result of the images, which also have their name and school attached to the files. In a post on X, the platform contended: “We remain committed to making X a safe platform for everyone and continue to have zero tolerance for any forms of child sexual exploitation, non-consensual nudity, and unwanted sexual content.” Fast Company reached out to X but did not hear back by the time of publication. In a statement, per NBC News, Baltimore Mayor Brandon M. Scott said that this kind of technology has the ability to destroy lives. “Our city will not stand by and allow this to continue,” Scott said. “[It’s] a threat to privacy, dignity, and public safety, and those responsible must be held accountable.” Charm city offensive The suit makes Baltimore the first city to sue Musk’s companies over their AI capabilities. But it’s not the only fight over AI woes happening within city lines. Baltimore is already the 44th-largest data center hub in the nation, with 17 current data centers. Now concerns over energy consumption, water shortages, and environmental issues have residents pushing back on new data center construction. At Johns Hopkins University, construction of its new Data Science and AI (DSAI) institute, which is not exactly a data center but a hub of AI research, education, and advancement, is already underway. Given that Baltimore has long been a hub for pioneering medical and technology research—with JHU at the heart of those efforts—it makes sense that the university would be focused on technology advancements. Founded in 1876 as the first research institution in the U.S., it’s credited with a number of majorly influential developments, from introducing rubber surgical gloves in 1889 to developing the first rechargeable pacemaker in the 1970s, as well as the widely used COVID-19 tracking map in 2020. With JHU and Johns Hopkins Hospital attracting top talent, it also has long led the nation in terms of the federal funding it receives—by a long shot. In 2024, the university acquired a record-breaking $3.4 billion, about $1.6 billion more than the second-place university. However, the following year, due to President Donald The President’s federal funding cuts, it experienced a sharp decline in financial research support. Still, JHU’s long and inspirational history of innovation hasn’t insulated it from criticism over its AI ventures. The new project, which is expected to be complete in 2029, has unsettled locals, to say the least. Prior to its start, petitions circulated around the city, protestors took to the streets, and a cease-and-desist letter was sent to the university. On the day construction began, which included cutting down the neighborhood’s beloved northern red oak trees that lined the street, residents came out to make their feelings known. Presently, signs that read “Shame on JHU” appear on the street across from the construction site. Fast Company reached out to JHU for comment and was directed to a public statement, which explained that the project is not a data center but a space for “classrooms, laboratories, faculty offices, and collaborative workspaces.” The statement also noted that an estimated 4,490 jobs will be created during the preconstruction and construction phases and that the project is set to generate “$505 million in net new economic impact within Baltimore City alone and more than $800 million across Maryland.” “Residents across our city have had enough” While JHU’s project is proceeding as planned, others are facing greater obstacles. Earlier this month, City Council President Zeke Cohen introduced a bill that could place a one-year moratorium on Baltimore data centers. The legislation cites major environmental concerns, which some say disproportionately impact minority communities who live in underserved neighborhoods—given that’s where the centers are typically placed. “Baltimore is one of the most environmentally degraded cities in our country,” Cohen said, per The Baltimore Sun. “The legacy of redlining, racial housing covenants, and disinvestment means that majority Black neighborhoods have substantially worse air quality than white neighborhoods.” Cohen also cited the halting of the Baltimore Peninsula transmission project by the Baltimore Gas and Electric Company (BGE) in March amid criticism from Maryland Senate President Bill Ferguson over skyrocketing energy costs. Those energy costs are something that Baltimoreans have, sadly, grown extraordinarily accustomed to. Since 2010, BGE’s gas delivery rates have increased by 246%. Its electric delivery rates increased by 92%. And just this year, rates have already risen twice. Cohen said the cost of energy is driving an affordability crisis in the city, noting, “BGE bills have skyrocketed and residents across our city have had enough. People are choosing between paying for gas and electricity or their rent or mortgage.” As residents struggle to pay their bills amid already staggering energy costs, new data center construction has become an even bigger concern. Those worries have prompted growing support for a Baltimore Public Power campaign, led by Councilmember Mark Conway, who represents the city’s 4th District. Shelby Averys, an organizer who updates Baltimore Public Power’s social media accounts, said data centers will undoubtedly drive up costs even further for Baltimore residents. “Big Tech is forcing regular people like us to fund their polluting and unwanted data centers through our skyrocketing utility bills so that a handful of executives can get even richer,” she told Fast Company, adding, “By moving to a public utility, Baltimore can take control over how its energy is used and ensure that we prioritize affordable, clean, and reliable energy for Baltimoreans, not diverting our energy to data centers that nobody wants.” From energy to deepfakes, the AI battles facing Baltimore and other cities across the country aren’t likely to be solved overnight, or anytime soon for that matter. AI’s big gains also mean big downsides—and more complicated battles. But Baltimore, known for its scrappiness, vibrant city life, and extraordinarily dedicated community members, isn’t likely to fold to Big Tech without a fight. View the full article

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This week, the labor movement in architecture scored a win. Sage & Coombe Architects, a women-led firm based in New York City, unanimously approved a collective bargaining agreement. It’s the second American practice to ratify a contract, after Bernheimer Architecture in 2024. “This contract, the second in the industry, sets a standard for workers at Sage and Coombe and beyond,” Architectural Workers United (AWU), a group that has been helping firms organize, announced on April 1 via Instagram. The agreement’s details have yet to be made public. The milestone marks a significant move in the design industry’s unionizing efforts, especially after high-profile setbacks. In 2022, the New York-based firm SHoP abandoned its unionizing efforts following what AWU called a “powerful anti-union campaign.” Then in 2023, the American arm of the multidisciplinary design firm Snøhetta voted against unionizing. In January, the National Labor Relations Board filed a formal complaint against Snøhetta, alleging the firm illegally dismissed eight employees in relation to organizing. Architecture—a field known for long hours and low pay—has historically been difficult to unionize in the United States. “It’s oddly different than other industry,” Andrew Daley, a staff organizer at the International Association of Machinists and Aerospace Workers, told Fast Company back in 2023. “There’s literally no proliferation of unions in any way, shape, or form. Like, zero density when we started.” Sage & Coombe’s contract comes after three years of unionizing efforts. In 2023, employees at the firm formed a union, which the office’s managerial team voluntarily recognized. “We are pleased to announce that we have signed a collective bargaining agreement with the International Association of Machinists and Aerospace Workers,” Sage & Coombe said in an Instagram post. “We respect the efforts of our colleagues who initiated this process, and we believe the agreement will affirm the workplace conditions we established over the last 30 years and contribute to our continuing success in delivering great projects for our clients.” View the full article

Most organizations think they have a productivity problem. They don’t. They have a work design problem. I’ve spent decades studying how people solve problems and take action, and the same pattern keeps showing up. Productivity dips, so leadership responds the way they always do: new tools, redesigned workflows, and an engagement initiative with a catchy name. And it works, but only for a while. Teams rally around the new process. Leaders feel good about the momentum. Then, a few months later, the same questions come back. Why does the work still feel harder than it should? Why are capable, committed people running on fumes? And typically, motivation isn’t the issue. But the actual work itself is in conflict with how people naturally approach problem-solving. What leaders miss when they evaluate employees Leaders typically evaluate performance in two ways. Does the person have the skills? And are they motivated enough to use them? Both matter. But there’s a third factor that quietly determines whether individuals and teams sustain high performance over time. It’s the one most leaders skip right past (even though the concept has existed since Plato). It’s how people instinctively approach getting work done. Some people gather a great deal of information before moving forward. Others cut straight to the bottom line. Some naturally build systems and structures. Others adapt on the fly. You’ve seen this in meetings. The moment you brainstorm an idea, one person starts testing it out loud and adjusting as the conversation unfolds. Another might be outlining the steps, organizing details, and making sure there’s a clear sequence. Neither approach is wrong. But they’re fundamentally different, and those differences shape how companies make decisions and how projects move. It can also determine whether or not people are aligned with their roles. Why productivity systems create more friction than they solve There’s a flawed assumption that underpins most productivity systems, which is that everyone approaches work roughly the same way. That a single planning method can work for all, and that people process information and problem-solve in the same ways. In practice, teams almost never operate like that. I worked with a leadership team that spent months building out a detailed project planning process. It was thorough, well-documented, genuinely thoughtful work. But within weeks, half the team had quietly abandoned it. It wasn’t resistance. The structure just clashed with how several of them naturally approached their work. Someone who instinctively moves to the bottom line is going to slow down in an environment that demands constant deep analysis and 20-page reports. The same way that someone who naturally creates structure will struggle when processes and priorities shift every day. Pushing against your natural way of taking action takes far more energy than most people realize. Over time, that friction compounds. A recent workplace survey found that 42 percent of employees lose roughly a full workday each week working against their natural strengths. Think about that. One day a week, gone. Not to poor skills or lack of effort. To friction. No engagement initiative is going to fix that. Why productivity is an energy problem Most productivity conversations obsess over time. But energy is almost always the real constraint. People have a finite amount of mental energy each day for decisions, problem-solving, and moving work forward. Where that energy goes makes a huge difference. I worked with a team leader who had two employees with similar experience and a strong work ethic. One was the person she called when a project was still messy, when the team needed to test ideas, make quick calls, and figure things out in real time. The other was most effective once the direction was clear. He’d organize the steps, build the process, and keep the work moving in a steady sequence. When each person worked in those conditions, they were great. But when the leader reversed their roles, the difference was immediate. The fast mover slowed to a crawl when asked to document detailed processes. The systems builder struggled when the project demanded constant improvisation. They had the same skill level and the same motivation—but a completely different experience of the work, because one version aligned with how they naturally take action and the other didn’t. When work fits someone’s instincts, they can make decisions faster. Their efforts also go further. But when it doesn’t, even routine tasks start consuming far more energy than they should. What leaders can do instead Fixing productivity and creating productive teams rarely starts with another tool or training program. It starts with understanding how people actually work. Leaders who get this right tend to focus on three things: 1. Clarity Get a real picture of how people on your team naturally approach problems. When employees understand their own strengths and the strengths of their colleagues, dividing roles and responsibilities becomes a lot easier. 2. Commitment Teams perform best when people can invest most of their energy in work that fits how they naturally take action. Sometimes that means adjusting responsibilities, redesigning workflows, or shifting task ownership so people spend more time where they’re actually effective. 3. Collaboration The strongest teams aren’t made up of people who all approach work the same way. Progress comes from combining different strengths. One person digs into the details. Another simplifies the path forward. Someone else builds the structure that carries the idea through execution. When teams work this way, you no longer need to force productivity improvements. They happen because individuals can naturally leverage their strengths to get things done. Rethinking productivity Organizations love to solve productivity problems by turning up the pressure. More tools, more processes, and creating additional expectations piled on top of existing expectations. But productivity doesn’t improve when everyone’s pushed to work the same way. It improves when leaders recognize that people approach problems differently and design work around those differences instead of against them. After all, when work fits how people naturally take action, high performance stops being something you have to force. It becomes something you can sustain. View the full article

A few days ago, the electric grid in California hit a new milestone: At 7pm on March 29, batteries provided 12.3 gigawatts of power—roughly as much as six Hoover Dams, or around 43% of the total demand on the grid. Nearly all of that battery storage was built in the last five years. “Until 2020 or 2021, battery storage was still quite expensive, but we’ve seen huge price drops over the last few years,” says Nicolas Fulghum, senior energy and climate data analyst at Ember, a global energy think tank. When it’s paired with solar power, it can “bring some of that excess generation in the middle of the day to where it’s really needed, which is during the peak demand in the evening and morning,” he says. The cost of batteries has dropped 99% over the last three decades. Over the last few years alone, the cost fell by about a third. The cost of solar panels has also fallen by more than 90%. By 2024, new solar projects were an average of 41% cheaper than fossil fuel alternatives. By using batteries to make use of extra solar power in the middle of the day in the evening, California’s grid, called CAISO, can rely less both on energy imported from other states as well as “peaker” gas plants that are used to meet peak demand. Those gas plants “are usually quite expensive,” says Fulghum. “And batteries can reduce the impact of those high power prices during that time, especially when you have a heat wave like we had a few weeks ago. That’s where they’re most effective at keeping prices down.” Gas electricity generation in the state is responsible for around 30 to 40 million metric tons of CO2 emissions a year. Around half of the peaker plants are in low-income communities of color, where the air pollution contributes to health problems like asthma. California has always been a leader in solar power, and had actually installed so much solar that it began to strain the grid. But that’s changed now. “Because California can move so much of that midday solar generation, it means that there’s a lot less wasted solar in the middle of the day,” says Fulghum. “But it also means that now it’s opened up the opportunity to actually increase solar generation again—build more solar, and move it to ‘shoulder’ hours. That’s what’s going to reduce gas generation in the short and long term.” Virtual power plants— using home batteries, EV batteries, or managing demand with tech like smart thermostats—are also helping shrink the need to use fossil fuels to generate electricity. Other technology, like advanced geothermal power, can also help provide clean power for the grid around the clock. But that will take time to build, and batteries can help immediately. At the moment that the California grid broke a battery record on March 29, around 20% of the grid’s output was coming from gas. But the share of power coming from fossil fuels will continue to drop. (Already, the use of gas has declined by 20% over the last few years.) California’s grid now has 17 gigawatts of battery storage; the state is aiming for more than 50 gigawatts. “There’s a huge, huge additional amount that’s still going to come online over the next few years,” says Fulghum, “especially as costs are going to continue to drop.” View the full article

While companies cram artificial intelligence features you never asked for into their apps, Domino’s seems to have found a valid use case for the technology: more accurate tracking of when your pizza will be ready. When Domino’s launched its pizza tracker in 2008, it was a marvel of UX. The tracker gave customers a lens into when their pizza would be ready through a simple interface that lit up as the pizza progressed from ordered to baked to delivered. The tool turned Domino’s into a tech company, and inspired industries (and governments) to adopt the same UX for their own needs. Now, Domino’s made the biggest update to its pizza tracker in years. The new tracker features a simplified progress bar that shows just four stages of pizza creation. The new design was rolled out to all platforms, and there’s also new Lock Screen widgets for iOS that bring the pizza chain’s most famous tech feature to the Liquid Glass age. Behind it all is an AI model that the company says will give users the most accurate time estimates. Domino’s improved tracker uses a proprietary operating system it calls “DomOS” to better estimate orders through machine learning models that track real-time inputs, like what’s being ordered, how busy a store is at the time, how orders tend to cluster (like during a big sports game or commercial break), and what’s happening on the delivery side. “AI helps by looking at these signals together instead of isolation,” Domino’s vice president of global digital marketing Mark Messing tells Fast Company. “It learns from patterns we’ve seen before and continuously adjusts in real time as conditions change.” The company is promising more precise times for when pizzas will be ready for pickup or arrive for delivery. A rideshare-style interface shows a delivery driver as a car icon on a map like Uber that users can track in real time. For iOS users, the app’s Lock Screen widgets appear as Domino’s Tracker progress bar with an estimated delivery time. When an order is out for delivery, the progress bar becomes a car to show your pizza is mobile and delivery is imminent. The redesign was done by Dominio’s digital experience team in partsnership with their agency WorkInProgress. Domino domination Domino’s is the leading pizza chain nationally in the U.S. at a time when pizza sales are struggling. Pizza Hut’s parent company is considering a sale and announced the closure of 250 stores in February. Meanwhile Domino’s chief financial officer Sandeep Reddy said on the company’s last earnings call that Domino’s retail sales had grown 5.5% thanks to same-store sales, a promotion, and new specialty pizza flavors. Domino’s refreshed its brand last year with a new font, brightened color palette, and redesigned pizza boxes that play off the domino theme with dots. It also introduced what it calls a “cravemark,” or its tagline “mmm” expressed audibly through a jingle recorded by Shaboozey. Like its overhauled visual brand, the revamped pizza tracker shows that Domino’s is doubling down on what it’s best known for. Since the company introduced its tracker in 2008, it has tracked more than 2.5 billion orders. Domino’s original tracker was the first web-based pizza tracker in the industry, and it had a futuristic, skeuomorphic style with segments for each stage that lit up red or blue as a consumer’s order went from prep to delivery. The company gave users the options to customize their trackers in 2010 with six themes that they could use to reskin the progress bar. The company added GPS delivery tracking to the feature in 2019. The new tracker reduces the number of stages to just four—named “Placed,” “Make,” Deliver,” and “MMM”—while old names for stages like “Bake” and “Quality Check” are now gone. While the main progress bar is simplified, inside the app, there’s more specific information, like what time their order was placed in the oven and what time a delivery driver left the store. “The goal was flexibility without complexity,” Messing says. It’s an update that helps Dominos make the most of AI to be more dependable for customers. And at a time when delivery pizza sales are under pressure, that gives the company an edge with one of its best-ever marketing tools. View the full article

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In female-driven industries, leadership misalignment shows up in the numbers long before it shows up in headlines. The aesthetics industry is built on women. It is fueled by their research, their spending, their vulnerability, and their trust. Yet the leadership shaping products, messaging, and capital allocation rarely reflects the consumer driving its growth. That structural gap compounds over time. Emotionally invested and financially decisive A 2024 Advanced Dermatology survey found women spend more than $1,000 per year on their appearance. The core aesthetics consumer researches cosmetic treatments for months, compares risks, reads reviews obsessively, and arrives at consultations informed and skeptical. She is emotionally invested and financially decisive. In most cases, the provider treating her will be male. Fewer than 20 percent of board-certified plastic surgeons in the United States are women. Within academic plastic surgery, female surgeons fill far fewer leadership roles, with only around 8 percent of departmental chairs held by women, reflecting persistent gaps in senior influence. These gaps distort how risk is communicated, misread cultural shifts, and quietly erode consumer trust. The disconnect becomes visible at global aesthetics conferences, where ballrooms filled with capital allocators, device manufacturers, founders, and surgeons look nothing like the consumer driving demand. Over dinner at one conference, I listened to a group describe a menopause panel moderated entirely by men. Men discussing hormone shifts, aging, and quality of life for women without a single woman with lived experience guiding the conversation. The unfamiliarity of female authority surfaces in subtler ways. On an early introductory call in my current role, a male client asked, “How did you get this job?” The tone reflected disbelief. It underscored how unusual female leadership can still feel in parts of this industry and how much energy women spend establishing credibility before focusing on execution. That energy has a cost. We see similar patterns beyond aesthetics. Even championship-winning women’s hockey teams are still treated as exceptions instead of authorities. Performance alone does not always translate into legitimacy when representation remains limited. Market reality Against that backdrop, RealSelf’s board made a deliberate decision. When they hired me as the first woman to lead a company that has served women for two decades, they were responding to a market reality. As the $44 billion aesthetics industry continues to scale, leadership alignment with the consumer becomes increasingly strategic. The decision came at an inflection point. RealSelf was 20 years old with significant brand authority, but revenue had plateaued and strategy lacked clarity. The company had history and recognition, yet it needed sharper direction. We rebuilt around clearer positioning and stronger operating discipline, expanded operating leverage, and returned the business to profitability. The balance sheet strengthened. The posture of the company shifted. With greater financial stability came the ability to invest decisively rather than defensively. Leadership alignment also affects internal momentum. When you occupy one of the rare seats at the table, awareness of that rarity sharpens focus. There is urgency to grow, to execute, and to outperform expectations. That competitive drive is visible across our leadership bench. Many of our strongest hires are exceptional operators who simply needed the opportunity to lead at scale. Given meaningful responsibility, they move quickly and build with conviction. We rebranded RealSelf to reflect the emotional and cultural reality of the consumer. In a category that has often leaned clinical in tone, we built a platform that feels informed, direct, and human. Consumers can ask, “Is this normal?” and expect clarity grounded in real experience. The results followed. Conversion is up 36 percent. Our brand partnerships pipeline has nearly tripled. We’ve added more than 317,000 email subscribers and 26,000 new social followers. Growth has been driven by resonance rather than heavy paid amplification. The cost of misalignment In trust-based industries, representation in leadership functions as infrastructure. Teams that mirror their market make more precise decisions about tone, risk, and long-term positioning. Misalignment tends to accumulate quietly through missed cultural cues and subtle erosion of credibility before it ever appears as a crisis. If you’re a board member or founder scaling a female-driven business, here’s the question worth considering: when did you last audit your leadership team against the consumer you’re building for? Not as a diversity exercise, but as a risk assessment. As aesthetics continues to grow, the companies that lead will be those whose leadership understands the lived complexity of their audience. Structural blind spots carry measurable consequences. In a $44 billion industry built on women’s trust, leadership alignment shapes outcomes. Representation at the top functions as a growth lever and a competitive advantage. View the full article

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At last, Seedance 2.0 is now available in the U.S. This extraordinary generative video AI model made by TikTok’s Chinese parent company ByteDance is capable of creating high-definition video so realistic that it’s shattering our visual truth into a billion pieces. But hey, who cares? If we are going down in flames as a species, let’s have fun putting dumb videos together. I’ll tell you how to do it in this short guide on how to make Seedance 2.0 videos. Time to roll up for a Magical Mystery Tour. Step up right this way! Signing up for Higgsfield To use Seedance 2.0, you first need to sign up for Higgsfield. This platform is essentially a unified digital workspace that wrangles multiple artificial intelligence video engines—like Seedance, Veo, and Kling—into a single interface. Instead of paying for a dozen disjointed subscriptions, you get a centralized dashboard to use them all. To get started, you have to create an account and subscribe to either the Business ($49 billed monthly) or Ultra ($84) tier. If you happen to live outside the U.S. or Japan, prepare to jump through one extra hoop by verifying a corporate email address to unlock the model. Generating content on this platform runs through the typical credit economy. A standard 5-second clip rendered at 720p resolution burns 30 credits. Each credit costs from $0.04 to $0.08, depending on your subscription plan. To “celebrate” the End of Reality as We Know It, the company is currently offering 65% off at sign-up offer to lessen the initial financial blow. How Seedance 2.0 works Once you are in, you can select Seedance 2.0 from the main dropdown menu. Seedance 2.0 is multimodal, which means it accepts up to 12 simultaneous media inputs. You can upload nine static reference images, three distinct video snippets capped at 15 seconds each, and three audio tracks. It then spits out video shots (at 480p, 720p, 1080p or 2K resolution with upscaling) that max out at 15 seconds per generation. The model puts everything together, constructing the visuals, building up the characters (and maintaining coherent appearance between shots), moving the camera per your instructions, and syncing sound and speech at the exact same millisecond. The result is flawless lip-syncing and accurate spatial noise without needing a dedicated post-production pass (although professionals will actually integrate the results into dedicated editing software like Adobe Premiere). It is very simple to run, so go for it and give it a spin: Upload your reference files into the workspace and type out a plain-language description of what you want to see. After you hit generate, you will get your clip. If the platform defaults your output to 480p or 720p to save processing time, you can dive into the advanced settings to force a higher pixel count, or simply run the draft through their built-in upscaling tool to push it to a crisp 1080p or 2K finish. If you need a longer movie, you can click “extend” to chain multiple 15-second blocks together indefinitely. Craft the perfect prompt for Seedance 2.0 For best results, however, you need to follow some basic rules for writing prompts. Nothing hard, but you must use the following structure. First, start by explicitly defining your subject—their clothing, identity, and the surrounding environment—before moving on to the specific action and how long it should take. From there, you dictate the exact camera framing, such as a “slow dolly-in,” followed by the overall cinematic style and any strict constraints. Try to use positive instructions to describe what should exist on screen, entirely avoiding negative commands. Specificity is your best weapon against the AI’s natural tendency to hallucinate (although this model is really good at understanding the world). This is especially important for scenes with several characters that may get confused. Instead of just trying to control the “man,” talk about the “blonde man in a pink tutu” so the engine does not get confused. The smartest workflow here is to generate some short five-second screen tests first. If the resulting footage is slightly off, tweak only a single variable in your text prompt and regenerate, methodically isolating the problem rather than rewriting the entire scenario from scratch again and again. Once you are happy, build on that experience to create your final shot. Now go on, take out your credit card, and have fun destroying the planet and our brains! View the full article

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The Artemis II mission now underway aims to send three Americans and one Canadian back to and around the moon, a journey that will mark humans’ farthest trek into space in decades. The program is one of a series of endeavors, including next-generation space stations, a lunar habitat, and even a manned Mars mission, that will vastly expand human presence in outer space. Critically, these missions are all certain to involve spacey versions of consumer technologies, which have now become a fixture of life in space. (Astronauts aboard the International Space Station use laptops and smartphones.) Yet such modern conveniences also create a host of IT issues. On the latest Artemis II mission, astronauts—again, also with smartphones—had to reach out to mission controllers experiencing issues on their systems. The culprit: Microsoft Outlook. Indeed, making computers work in space can be difficult. This includes issues related to the microgravity environment, as well as challenges related to communication networks, since signals back to Earth can be limited—and slow. There is, after all, no live tech support when you’re on the moon, or even Mars. “When we’re colonizing something like the moon or eventually going to Mars, I think it brings in lots of complexities,” Manoj Leelanivas, who serves as president of HP Solutions, which frequently works with NASA on in-space hardware, explains. “In the computer environment, typically you assume liquid cooling or air cooling. You look at the standard principles of convection, which don’t really apply in space. You have to deal with the radiation.” Fast Company chatted with Leelanivas about what it takes to build computers for space, and how that work might change as manned missions take on even more ambitious efforts. This interview has been edited for length and clarity. How is designing a workstation for space, or microgravity, different from designing a workstation for Earth? Let me start with, first of all, addressing unreliability and connectivity. In space, connectivity is not super reliable, which means compute has to really be close to data in supporting real-time decisions. You’ve got to add the compute horsepower and the GPU horsepower to make AI-based decisions locally, even without connectivity. That’s one of the capabilities that our flow workstations provide. They have huge elements of GPU capabilities, and you can even run 200-billion-parameter models. Some of them can even go higher than that. So that allows you to work in a non-connectivity environment. That’s important for flagging anomalies—quicker and faster—without waiting for the delay all the way to come back to Earth and whatnot. It’s not just about space, but down in the control room and beyond, you need to have data gathered in real time and have quick decisions made. What about computers on the moon? One of the biggest challenges the moon poses to us is that you can’t just quickly go and solve a problem. . . . You have to really plan, which means that you have more self-reliant systems—meaning systems that can break and recover. We think about: How can you actually process things as locally as possible? That’s slightly different from the Earth world, where we assume a lot of things in terms of redundancy and capabilities. How does HP see its relationship with private space companies? We are engaged with most of these companies without actually going into a specific name, because you’re not allowed to do that. Our workstations are the No. 1 workstations in these activities. The deep compute that is needed, and the modeling that is needed, and the history of looking at large amounts of telemetry data—those all put HP in a great position to work with many of these companies. . . . The only thing we are publicly talking about is this NASA relationship we have. What about orbital data centers? It’s always a good idea to think of new ways to solve problems in a business. . . . Energy is a big requirement for data centers. . . . If you go to space with the independent power of the sun, that can be harnessed. The energy may not be that difficult a problem in terms of energy-generation. But then it creates other problems, like: How do you cool your systems in an environment where convection doesn’t really work? It is definitely an aspirational idea, but at the same time, it’s a very meaningful one, because if we can solve data centers in space, it’ll solve a huge energy crisis, which is going to come in our future on Earth. How do you design AI for space? AI actually creates the opportunity for self-sustaining systems in space. . . . Machines are able to perform a lot of functions autonomously. We sometimes are injecting the human in the middle to make sure that certain things are done the right way, ethically. Sometimes, too much human intervention actually can slow down the AI process a little bit. . . . Sometimes, a high-powered, autonomous system within the guardrails is the right way to go. . . . You don’t have time for the back and forth. I do believe the work we’re doing, and the work a lot of other companies are doing, is enabling speed for the agents, with the models below [them]. . . . We are not only building great hardware and compute systems. We are also building technologies to bring them together quickly. View the full article

When the server walked past our table, my hand shot upward like a high schooler eager to answer the teacher’s question. “Can we get two more of the same, please?” I asked upon getting his attention. “Another round of espresso martinis? I got you, boss.” Leona grinned and nodded in approval, as expected. We go back like four flats on a Cadillac. From study buddies back at the G.O.A.T. HBCU to marketing professionals putting in work for thriving companies, we’ve remained a two-person support system. It’s a celebration every time we link up. So it’s only right that we throw back a few cocktails while getting our yap on. Sipping a boozy, caffeinated concoction at 2 p.m. on a Tuesday has a way of making me chatty. It also makes me wonder why more of my peers don’t observe the same tradition. Weeks before this rendezvous, Leona and I both planned to burn a day of PTO, coordinating our schedules like a couple of executives setting off for a retreat. Except the only agenda on this outing was tacos and real talk. We call it the skip day. The premise is simple: You and a friend both call out from your respective gigs for a workday hangout. This is not earmarked time for errands or spent couch rotting in solitude. It’s two (or more!) friends sharing a mental health day while the rest of Corporate America clocks in. Skip day is the adult version of faking sick in grade school, except you don’t have to fake anything. You just make sure you’re anywhere but your workplace. The skip day didn’t start as a formal thing. It evolved—the way most good traditions do—out of necessity. After weeks of failed meetups and playing calendar tag, we decided to multitask by coworking from a local Seattle café. We locked in, knocked off to-do lists, and squeezed in some kikis between tasks. It became a regular thing every few weeks. Eventually, we decided to cut the work part out altogether. For Leona and me, it has become a seasonal ritual, and this latest skip day reminded me why it’s so important. It’s a moment to mute Slack messages and email notifications while pouring into each other (and each other’s glasses). There, at that trendy Mexican restaurant, we traded career updates and inside jokes. Leona vented about her condescending-ass manager and celebrated the large-scale project she recently headed, wondering aloud what future opportunities it could unlock. My updates were familiar: the steady, sustaining drip of contractor work and the draining hunt for a full-time role. These topics are difficult to explain for people who haven’t lived it, but require no translation between us. We started with drinks and guacamole, but skip days have a way of extending themselves. One spot becomes two, two become three. By the time we sat down for dessert, the conversation had shifted from light stuff like weekend plans and what we’d been watching to the real stuff: politics, family, the future, the past. It was the kind of conversation that makes you feel like yourself again, without the need for corporate speak or code-switching. And something about doing that when you would otherwise be on your fourth Zoom meeting of the day makes it feel even more fulfilling. Skip day doesn’t have to be spent eating or drinking. Take a hike or a day trip. Go see a matinee. Do some window shopping. Hit up a botanical garden. The only limits are your imagination or budget. The magic is as much about where you’re not as where you are. Long ago, United Negro College Fund commercials taught me that a mind is a terrible thing to waste. The same could be said for PTO days spent on obligation or isolation (or even worse, not taken at all). Find that person who you vibe with like no other, someone who gets it, someone who fills you up. Pick a day you’re both free, outside of intense deadlines or work duties. And just show up for each other. You probably need it more than you think. View the full article