Qualcomm Challenges Nvidia with ARM AI Chips for Inference and Training

Qualcomm has positioned itself as a serious contender in the market for artificial intelligence chips aimed at data centers, directly challenging Nvidia’s long-standing dominance. According to a report from Fortune, the company plans to expand its offerings with new accelerators designed specifically for inference and training workloads that power modern AI applications. This move signals a broader shift in the semiconductor industry where multiple vendors now vie for a share of the massive spending on hardware that supports large language models and other generative systems.

The announcement comes at a time when enterprises and cloud providers seek alternatives to Nvidia’s expensive graphics processing units. Many organizations report that the high cost and limited availability of Nvidia’s H100 and Blackwell series create bottlenecks in their expansion plans. Qualcomm’s strategy centers on processors built around its custom ARM-based architecture, which promises strong performance per watt and compatibility with popular AI frameworks. By focusing on energy efficiency, the company hopes to attract customers who operate hyperscale data centers where electricity bills represent a major operational expense.

Qualcomm’s entry builds on its existing expertise in mobile processors. The firm has spent years refining its Hexagon digital signal processors and Adreno graphics cores for smartphones, skills that translate surprisingly well to server environments. Its latest data center chips incorporate similar vector processing units optimized for the matrix multiplications that dominate transformer models. Early benchmarks shared by the company suggest these parts can deliver competitive throughput on common inference tasks while consuming significantly less power than comparable Nvidia solutions.

Industry analysts observe that success in this space depends on more than raw hardware specifications. Software compatibility often determines whether a new chip gains traction. Qualcomm has invested heavily in adapting the CUDA ecosystem to its platforms through translation layers and direct integrations with frameworks such as PyTorch and TensorFlow. The company also works closely with major cloud operators to ensure its chips appear as first-class options in their instance catalogs. This attention to the software stack addresses one of the biggest barriers that have historically prevented alternative architectures from displacing x86 or Nvidia-based systems.

The competitive dynamics extend beyond simple performance metrics. Nvidia currently commands roughly 80 to 90 percent of the AI accelerator market, according to various estimates. That position stems from years of investment in CUDA, a proprietary programming model that has become the de facto standard for AI development. Developers write code once for CUDA and expect it to run efficiently across generations of Nvidia hardware. Qualcomm and other challengers must either replicate that experience or convince customers to rewrite portions of their applications. The Fortune article highlights that Qualcomm’s latest chips include dedicated hardware for certain operations that appear frequently in large language models, potentially offering advantages in latency-sensitive applications such as real-time chatbots or recommendation engines.

Power consumption stands out as another area where Qualcomm sees an opening. Data center operators face increasing pressure from utilities and regulators to reduce their carbon footprints. A chip that delivers similar results while drawing 30 to 40 percent less electricity can translate into millions of dollars in savings at scale. Qualcomm engineers have optimized the memory hierarchy and interconnect fabric to minimize data movement, which often accounts for the majority of energy used during AI calculations. The design also supports advanced power management features that allow individual cores to enter deep sleep states when demand fluctuates.

Memory bandwidth remains a critical factor in AI performance. Large models require rapid access to hundreds of gigabytes of parameters. Qualcomm’s new architecture pairs high-speed HBM3E memory with a custom on-chip network designed to keep compute units fed with data. The company claims this approach reduces the frequency of stalls compared with some competing designs. Independent testing will ultimately determine whether these claims hold up under production workloads, but the specifications suggest Qualcomm has studied the bottlenecks that limit existing solutions.

Partnerships will play a decisive role in Qualcomm’s ability to scale. The company has already secured design wins with several Asian cloud providers who prioritize cost efficiency over absolute peak performance. In the United States and Europe, adoption may proceed more slowly as enterprises remain cautious about switching from proven Nvidia platforms. However, several large technology firms have established internal programs specifically tasked with evaluating alternative accelerators. These teams often start with inference workloads because they tend to be more forgiving of minor compatibility issues than full training runs.

Qualcomm has also introduced a reference server design that integrates its AI chips with standard x86 processors. This approach allows customers to use familiar management tools while gradually shifting AI-specific tasks to the specialized hardware. The servers support standard rack configurations and can be deployed alongside existing infrastructure without requiring wholesale replacement of networking or storage systems. Such backward compatibility lowers the barrier to entry for organizations testing the waters with non-Nvidia solutions.

Financial analysts following the semiconductor sector note that even capturing a modest percentage of the AI chip market could meaningfully impact Qualcomm’s revenue. The company traditionally derives most of its income from mobile royalties and chips, but data center products typically carry higher average selling prices. If Qualcomm can establish a credible alternative, it may also create opportunities in adjacent areas such as networking processors and smart network interface cards optimized for AI traffic patterns.

Competition in the AI silicon space has intensified over the past two years. AMD offers its Instinct line of accelerators, while Intel continues to develop Gaudi processors. Startups such as Groq, Cerebras, and Tenstorrent pursue more radical architectures that depart from traditional GPU designs. Each vendor brings different strengths, and customers increasingly adopt a multi-vendor strategy to avoid over-reliance on any single supplier. This diversification trend benefits Qualcomm by creating an environment where procurement teams actively evaluate new options.

The technical roadmap extends beyond the current generation. Qualcomm has indicated plans for future chips fabricated on more advanced process nodes that will pack additional compute units and memory capacity onto each die. The company also explores specialized designs for particular industries, such as healthcare and financial services, where certain types of models predominate. By tailoring silicon to vertical applications, Qualcomm hopes to achieve higher performance on targeted workloads than general-purpose accelerators can deliver.

Customer testimonials included in the Fortune coverage suggest early adopters have achieved meaningful cost reductions without sacrificing model accuracy. One European telecommunications provider reported cutting its inference expenses by more than 25 percent after migrating a recommendation system to Qualcomm hardware. Another organization in the autonomous vehicle sector praised the chips’ deterministic latency characteristics, which matter greatly when processing sensor data in real time.

Challenges remain. Qualcomm must continue to expand its developer relations team to support customers during the porting process. Training materials, reference implementations, and performance tuning guides all require ongoing investment. The company also needs to demonstrate long-term commitment to the data center market so that buyers feel confident the platform will receive updates and improvements for years to come. Past attempts by other mobile-oriented companies to enter the server space have sometimes faltered due to inconsistent support after initial launches.

Nvidia has not remained idle in response to these competitive threats. The company regularly introduces new software optimizations, lower-cost chips targeted at inference, and cloud service offerings that bundle hardware with managed frameworks. Its enormous installed base and rich ecosystem create a powerful moat. Yet the sheer scale of projected AI infrastructure spending creates room for multiple winners. Market research firms forecast that annual revenue from AI accelerators could exceed 100 billion dollars within a few years, providing ample opportunity for vendors who can deliver differentiated value.

Qualcomm’s bet on ARM-based AI chips reflects a broader industry movement toward specialized computing. As models grow larger and more frequent inference requests strain existing infrastructure, the need for efficient, scalable hardware becomes more pressing. Companies that can balance performance, power, and total cost of ownership will likely secure significant contracts with the world’s largest technology organizations.

The coming quarters will reveal how quickly enterprises warm to these alternatives. Procurement cycles for data center equipment often span many months, so meaningful market share shifts may not appear immediately. Still, the technical foundation Qualcomm has established, combined with its focus on practical customer problems, positions the company to play a larger role in the infrastructure that powers artificial intelligence. As more organizations evaluate their options, the competitive pressure on Nvidia will likely increase, ultimately benefiting customers through improved choices and more reasonable pricing across the board.

from WebProNews https://ift.tt/OjFiYKf

AI Lifts Worker Output, Yet Firms Struggle to Claim the Gains

Workers using AI tools report clear productivity lifts. A large survey of Claude users puts the average self-reported gain at 5.1 on a 1-7 scale. That maps to substantially more productive. Only 3 percent saw neutral or negative effects. Yet when those same users named who captured the value, most pointed to themselves. Just 10 percent said employers or clients received more output. Anthropic Research published the findings in April 2026 from 81,000 respondents.

The pattern holds across pay levels. High-wage roles such as software development showed the strongest gains. Low-wage workers also described big jumps, often by taking on side projects or starting small ventures. Entrepreneurs stood out as the highest-gain group. Scientific and legal fields reported milder improvements. Some lawyers noted trouble with precise instructions. Early-career staff felt the benefits less often: 60 percent said they personally gained, versus 80 percent of seniors.

Scope mattered more than raw speed. Among those who described productivity effects, 48 percent cited expanded capabilities. They tackled tasks once out of reach. Forty percent pointed to faster execution of familiar work. One non-technical user became a full-stack developer. A delivery driver launched an e-commerce site. A landscaper built a music app. These are not incremental tweaks. They represent new output that did not exist before.

Many respondents kept the time saved. Freed hours went toward personal projects, relationships, or side income. A smaller share saw employers demand more volume for the same pay. The survey captured open responses from personal-account users who volunteered. That group may lean toward seeing gains as their own. Enterprise deployments could differ.

Concern about displacement rose with exposure. Anthropic’s measure of observed exposure tracks how much of a job’s tasks Claude actually handles. Higher exposure correlated with greater worry. For every 10-percentage-point increase in exposure, perceived job threat climbed 1.3 points. People in the top exposure quartile voiced the concern three times as often as the bottom quartile. Early-career workers showed elevated anxiety. Prior Anthropic data had already flagged slower hiring for recent graduates in exposed fields.

The link between speedup and fear formed a U-shape. Those who felt slowed down worried about creative fields being devalued. Beyond that baseline, fear increased steadily with reported acceleration. The people gaining the most speed expressed the highest displacement risk. One software engineer put it plainly: concern runs 24/7 in white-collar roles.

Other studies echo the individual-versus-firm gap. Gallup’s 2026 State of the Global Workplace report found 65 percent of U.S. workers in AI-using organizations saw positive personal productivity effects. Only 12 percent strongly agreed AI had transformed organizational work. An NBER survey of nearly 6,000 executives across the U.S., U.K., Germany, and Australia showed 89 percent reported no impact on labor productivity over three years. Firms still forecast future gains. Gallup and the NBER paper both highlight the disconnect.

Harvard Business Review research from February 2026 reached similar conclusions through ethnography at one U.S. tech firm. AI saved time on tasks, yet workers filled the space with additional work. Breaks shrank. Output volume rose without corresponding process changes. The result felt like intensification rather than relief. Harvard Business Review documented the pattern across interviews and observations.

Atlanta Fed analysis of nearly 750 CFOs in March 2026 found executives perceive larger productivity effects than measurable indicators such as revenue per employee support. Expectations run ahead of realized results. Atlanta Fed noted delayed output realizations as one explanation.

Workday’s January 2026 global study of 3,200 employees at large firms showed time savings often consumed by rework. Fixing AI-generated errors or verifying outputs erased part of the initial gain. Organizations that redesign roles and reinvest saved time see stronger capture. Workday identified role redesign as a differentiator.

PwC’s AI Jobs Barometer and CEO surveys point to concentration. Twenty percent of companies capture 74 percent of AI-driven value. The rest share the remainder. Top performers pursue growth and business-model reinvention, not only cost cuts. Headcount and wages grew faster at high-exposure firms in their data. PwC data from 2026 reinforces that adoption alone does not guarantee broad gains.

Recent X posts and discussions track the same tension. Workers describe personal time savings that do not translate to firm-level metrics. Executives report frustration when dashboards show no lift despite tool rollout. One thread noted 65 percent of employees claim gains while 89 percent of executives see no company-wide impact. The numbers align with survey patterns.

Resultsense’s June 2026 analysis of the Anthropic survey framed the issue for UK leaders. The productivity dividend exists. Capture mechanisms do not. Without deliberate redesign, recovered capacity leaks to individuals or evaporates into expanded scope without new revenue. Early-career erosion and self-employment exits compound over time. Resultsense urged explicit decisions on value allocation and role evolution.

Firms that treat AI as scope expansion rather than pure acceleration face different requirements. Existing job descriptions and metrics predate the capability jump. Junior staff now produce work once reserved for specialists. Processes built for narrower roles cannot absorb the surplus without adjustment. Measurement at the task level against pre-AI baselines makes the gap visible. Without it, nothing breaks and nothing prompts action.

Retention risks follow the same distribution. The heaviest users show the highest anxiety. Transparent communication about how roles evolve and how upside is shared becomes a competitive factor. Companies that ignore the pattern risk losing the very employees generating the largest individual gains.

Macro forecasts still project meaningful aggregate effects. Anthropic’s separate analysis of 100,000 real conversations estimated current models could raise U.S. labor productivity growth by 1.8 percent annually over a decade if adoption reaches scale. That figure assumes task-level efficiencies compound without organizational friction. Anthropic Research cautioned the projection excludes further model improvements and adoption rates.

The gap between individual reports and firm outcomes persists across datasets. Personal accounts, executive surveys, ethnographic studies, and labor-market linkages all point in one direction. AI changes what one person can accomplish. Turning that change into sustained business performance requires choices about measurement, process, and incentives that technology does not make automatically.

from WebProNews https://ift.tt/VknUtb2

Houston Hot Chicken Expands Across Texas With Partnership Model, Not Franchising

According to a recent Yahoo Finance report, a Houston-based hot chicken restaurant has formed an unusual alliance with local partners to expand its footprint across Texas while maintaining strict quality standards. The partnership highlights how independent food operators can scale operations through strategic collaborations rather than traditional franchising models.

Nashville-style hot chicken has gained massive popularity throughout the United States over the past decade, and Houston stands out as a particularly receptive market. The chicken, known for its distinctive spice blend that creates intense heat followed by complex flavors, appeals to diners seeking bold tastes. One local establishment decided to capitalize on this trend by teaming up with suppliers, real estate developers, and fellow restaurateurs instead of pursuing conventional growth paths.

The concept originated when three friends who shared a passion for spicy foods began experimenting with recipes in their home kitchens. What started as weekend cookouts evolved into a small food truck operation in 2018. By 2020, they secured their first brick-and-mortar location in Houston’s bustling Montrose neighborhood. The timing proved fortunate as pandemic-related restrictions pushed many consumers toward takeout options, and their fiery chicken sandwiches became neighborhood favorites almost overnight.

Success brought new challenges. Demand quickly outstripped their ability to prepare food in the limited kitchen space. Rather than immediately opening additional locations with separate management teams, the owners chose a different approach. They reached out to established players in Houston’s food scene, including a prominent meat supplier and a family-owned bakery that specialized in brioche buns. These conversations eventually led to formal agreements that allowed for shared resources and knowledge exchange.

The meat supplier partnership proved particularly valuable. Fresh chicken quality directly impacts the final product, and consistent sourcing across multiple locations presents difficulties for many growing chains. By contracting with a single provider who understood their exact specifications for bird size, freshness, and handling, the restaurant ensured every piece of chicken met identical standards. This arrangement also included training sessions where supplier staff learned about the restaurant’s brining process and spice application techniques.

Meanwhile, the bakery collaboration addressed another critical component: the buns. Hot chicken sandwiches require bread that can withstand juices and sauces without falling apart. The local baker adjusted recipes to create a custom bun with enhanced structure while preserving the soft texture customers preferred. This partnership extended beyond supply agreements to include joint marketing efforts where both businesses promoted each other’s products through social media and in-store displays.

Real estate developers entered the picture as the group eyed expansion into Houston suburbs and nearby cities like Austin and Dallas. Instead of leasing standard restaurant spaces, they worked with developers to design buildings that incorporated specific kitchen requirements for high-volume frying operations. These purpose-built locations featured specialized ventilation systems, larger fryers, and efficient workflow layouts based on lessons learned from the original Montrose site.

The partnership model offered several advantages over traditional franchising. Each new location maintained direct ownership by the original team or close associates rather than independent franchisees. This structure preserved brand control while distributing financial risk among multiple stakeholders. Partners contributed capital for buildouts and equipment in exchange for equity stakes and guaranteed supply contracts.

Training programs became central to maintaining quality across locations. The original Montrose restaurant served as a proving ground where new staff members spent several weeks learning proper techniques before transferring to other sites. Recipes remained closely guarded, with only a handful of people knowing the complete spice blend formula. This secrecy helped protect the distinctive flavor profile that set their chicken apart from competitors.

Customer feedback played a significant role in shaping the expansion strategy. The team actively monitored online reviews, social media comments, and in-person conversations to identify which menu items resonated most strongly. The classic hot chicken sandwich emerged as the clear favorite, though milder options and sides like coleslaw and pickles gained followings among customers who preferred less intense heat levels.

Marketing efforts focused heavily on digital platforms where vibrant photos of glistening red chicken and customer testimonials spread rapidly. Local influencers received invitations to taste new menu additions, generating authentic content that reached potential customers in target expansion areas. The restaurant also participated in food festivals throughout Texas, using these events to introduce their brand to new audiences while gathering valuable market research.

Supply chain considerations influenced many decisions. The partners worked together to establish backup suppliers for critical ingredients, recognizing that any disruption could damage their reputation for consistency. They invested in temperature-controlled storage facilities that could serve multiple locations, reducing waste and ensuring fresh ingredients reached each kitchen.

Community involvement strengthened the brand’s local connections. The owners supported Houston-area charities, particularly those addressing food insecurity and youth education programs. These efforts generated positive publicity while aligning with the founders’ belief that successful businesses should contribute to their communities. Several locations now host regular fundraisers where portions of sales support local nonprofits.

The expansion has not been without obstacles. Labor shortages in the restaurant industry created difficulties in staffing new locations with adequately trained employees. The intense heat of the frying process and the physical demands of the work led to higher than average turnover rates. To address this, the partners implemented comprehensive benefits packages including health insurance, paid time off, and performance bonuses that exceeded industry standards.

Competition in the hot chicken segment has intensified as national chains entered the market. Established players with deep pockets and extensive marketing budgets presented challenges for the Houston-based operation. The team responded by emphasizing their local roots and commitment to Texas-specific adaptations of the Nashville classic. They adjusted spice levels to accommodate regional palates while introducing unique menu items like hot chicken tacos that reflected local culinary influences.

Financial performance has exceeded initial projections. Same-store sales grew by double digits in each of the past three years, and new locations achieved profitability within six months of opening. The partnership structure allowed for faster scaling than would have been possible through traditional bank financing alone. Revenue from supply contracts provided additional income streams that helped stabilize cash flow during slower periods.

Looking ahead, the group plans to open three additional Texas locations within the next 18 months. Discussions are underway with potential partners in San Antonio and College Station, where university communities have shown strong interest in bold flavor profiles. Each new site will incorporate lessons learned from previous openings, with particular attention to kitchen efficiency and customer flow management.

The success of this collaborative approach offers valuable lessons for other independent restaurant operators. By building genuine partnerships based on mutual benefit rather than purely transactional relationships, the Houston team created a support network that extends beyond simple vendor agreements. These connections provide not only reliable supplies but also shared expertise and risk distribution.

Quality control remains the top priority as the business grows. Regular audits of each location ensure that preparation standards stay consistent. The founders personally visit new restaurants during their first months of operation, working alongside staff to maintain the exact standards that built their reputation. This hands-on involvement demonstrates their commitment to excellence even as the company expands.

Technology has played an supporting role in the operation’s development. Point-of-sale systems track sales data across locations, helping managers identify trends and adjust inventory accordingly. Mobile ordering applications have increased convenience for customers while providing valuable insights into ordering patterns. The team carefully evaluates each new technology adoption to ensure it enhances rather than complicates the core dining experience.

Sustainability considerations have gained prominence in recent planning sessions. The partners are exploring options for responsible sourcing of chicken from farms that meet higher animal welfare standards. Waste reduction programs at each location aim to minimize environmental impact while potentially reducing costs. These initiatives reflect growing consumer interest in businesses that demonstrate environmental consciousness.

The story of this Houston hot chicken operation illustrates how creativity and collaboration can fuel growth in a competitive industry. Rather than following well-worn paths to expansion, the founders charted their own course by building meaningful partnerships with like-minded businesses. Their approach preserved the authenticity that attracted initial customers while creating infrastructure capable of supporting larger operations.

As more locations open across Texas, the challenge will be maintaining that original spark that made the chicken special in the first place. The founders express confidence that their partnership model, built on trust and shared values, provides the framework necessary to achieve sustainable growth without compromising what makes their food unique. Customers seem to agree, with long lines forming regularly at each new location as word spreads about the distinctive chicken that started in a Houston kitchen and continues to capture attention throughout the state.

The collaborative spirit extends to employee development as well. The company established an internal academy where promising staff members receive advanced training in both culinary skills and business operations. Graduates often move into management positions at new locations, ensuring that company culture and operational knowledge transfer effectively between sites. This investment in human capital has reduced reliance on external hiring and created career pathways that improve employee retention.

Seasonal menu variations have become another way to keep the offerings fresh and exciting. Limited-time items featuring local ingredients help maintain customer interest between major expansion announcements. These experiments also serve as testing grounds for potential permanent additions to the core menu. Customer response data from these trials informs future decisions about which flavors resonate most strongly with Texas diners.

The Yahoo Finance article highlights how this partnership strategy has attracted attention from investors interested in food service concepts that demonstrate both creativity and operational discipline. Several venture capital firms have approached the company about potential funding rounds that would accelerate expansion beyond Texas. The founders remain selective about such opportunities, preferring to maintain control over their vision and growth pace.

Weather events common to the Gulf Coast region have tested the operation’s resilience on multiple occasions. The partners developed comprehensive emergency protocols that ensure minimal disruption during hurricanes and flooding events. Backup generators, elevated storage, and cross-trained staff help maintain service continuity even under challenging conditions. These preparations reflect practical thinking gained through operating in a region where extreme weather occurs regularly.

Cultural events in Houston provide additional marketing opportunities. The restaurant participates in annual festivals celebrating diverse heritages, adapting menu items to complement different culinary traditions while staying true to their hot chicken foundation. These appearances introduce the brand to new demographic groups and demonstrate versatility without diluting their core identity.

The physical design of each location incorporates elements that reflect Houston’s industrial heritage while creating comfortable dining environments. Exposed brick, metal accents, and vibrant wall art create visual interest that customers frequently photograph and share online. These spaces balance durability needed for high-traffic operations with aesthetic appeal that enhances the overall dining experience.

Nutritional transparency has become increasingly important as consumers pay closer attention to what they eat. The company publishes detailed information about calorie counts, spice levels, and ingredient sourcing on their website and mobile app. This openness builds trust with health-conscious customers who still want to enjoy indulgent foods occasionally. Educational content about the history of hot chicken and proper heat tolerance helps newcomers approach the menu with appropriate expectations.

Looking further into the future, international expansion discussions have begun though they remain in early stages. The team recognizes that adapting their concept to different cultural contexts would require careful consideration of local tastes and ingredient availability. Any overseas growth would likely follow the same partnership model that proved successful in Texas, seeking collaborators who share similar values and operational standards.

The Houston hot chicken story demonstrates that thoughtful collaboration can create competitive advantages in an industry often dominated by large corporate chains. By focusing on quality, community connections, and strategic partnerships, this local operation has built something with genuine staying power. As additional locations open and the brand becomes more widely recognized, the fundamental principles established in that first Montrose restaurant continue to guide every decision and every plate of chicken served.

from WebProNews https://ift.tt/svWYtGz

ExpressVPN Warns Soccer Fans: Avoid Football Passwords to Prevent Hacks

ExpressVPN has issued a clear warning to soccer enthusiasts everywhere: relying on passwords inspired by the beautiful game could leave your online accounts dangerously exposed. The company’s research reveals that football-related terms appear in an alarming number of compromised credentials, turning what fans see as harmless passion into a significant security liability.

The findings come from an analysis of billions of leaked passwords circulating on the dark web and in public breach databases. According to ExpressVPN’s report, passwords containing references to popular clubs, players, stadiums, or generic football terminology rank among the most commonly guessed combinations. Manchester United supporters, for instance, frequently use variations of “manutd,” “reddevils,” or “oldtrafford” followed by numbers or simple symbols. Similar patterns emerge for Liverpool, Arsenal, Real Madrid, and Barcelona fans, with many appending their birth year or “123” to create what they believe are unique strings.

This habit creates predictable patterns that hackers exploit through brute-force attacks and credential-stuffing campaigns. Automated tools can cycle through thousands of football-related terms per second, especially when attackers narrow their guesses based on publicly available information. A quick glance at someone’s social media profile often reveals their favorite team, favorite player, or even the stadium they visited last weekend. When that information combines with common password construction habits, accounts fall quickly.

The problem extends beyond obvious club names. Many fans incorporate legendary players like “messi,” “ronaldo,” “beckham,” or “mbappe” into their credentials. Stadium references such as “wembley,” “campnou,” or “bernabeu” appear regularly. Even generic terms like “football,” “soccer,” “premierleague,” “championsleague,” and “worldcup” show up with surprising frequency. During major tournaments, password creation spikes around popular narratives. After England reached the Euro 2020 final, for example, passwords containing “euro2020,” “itscominghome,” and “three lions” proliferated across user accounts.

Security experts have long warned about the dangers of password reuse and predictable patterns, but the football connection adds a cultural dimension that makes the advice particularly relevant to millions of fans. The passion that makes the sport so compelling also makes fan behavior remarkably consistent and therefore predictable. When people feel emotionally connected to a team or player, they naturally gravitate toward those references when creating memorable passwords. Unfortunately, what feels personal and unique to the individual often proves common across large groups of supporters.

The consequences of these weak passwords extend far beyond a single hacked email account. Once attackers gain access to one service, they typically attempt to use the same credentials across banking, social media, shopping, and work accounts. Many people maintain the same password or slight variations across dozens of services, amplifying the damage from a single breach. A compromised email account can lead to identity theft, financial fraud, or even ransomware demands if work systems become involved.

ExpressVPN’s data also highlights how password managers remain underutilized despite their effectiveness. The company found that only a small percentage of users employ dedicated password management tools that generate and store complex, unique strings for every account. Instead, many continue relying on memory, which naturally leads to simpler, more memorable choices. Football references provide exactly that kind of memorable hook, which explains their popularity even among people who understand basic security principles.

The timing of this warning coincides with increased football activity across major leagues and international competitions. As fans engage more deeply with the sport through fantasy leagues, betting apps, ticket purchasing systems, and fan forums, they create numerous new accounts. Each new login represents another potential vulnerability if protected by the same predictable football-themed password. The convenience of using familiar terms across these platforms makes the practice even more tempting.

Beyond individual risk, these patterns create broader security implications. When thousands of users within the same organization choose similar passwords based on shared interests, the entire network becomes more vulnerable. Corporate IT teams report regular incidents where employees use sports-related passwords that match those found in previous breaches. This overlap allows attackers to move laterally through systems once they compromise a single account.

The solution requires more than simply avoiding football terms. Security professionals recommend creating completely random combinations of letters, numbers, and symbols that bear no relation to personal interests, family names, or hobbies. Password managers handle the complexity of remembering these strings, removing the need for humans to create memorable but weak credentials. Many modern password managers also include built-in generators that produce strings meeting the strictest complexity requirements while remaining completely unrelated to user interests.

Two-factor authentication provides an additional layer of protection that works even when passwords prove weak. By requiring a second verification method, usually through a mobile app or text message, services can prevent unauthorized access even if attackers obtain the correct password. Many platforms now offer this feature by default, yet adoption rates remain surprisingly low among casual users. Football fans who enthusiastically track player statistics and tactical formations often show less interest in enabling basic security features on their accounts.

The psychological factors behind football-themed passwords reveal interesting patterns in human behavior. People tend to choose passwords that reflect their identity and passions. For dedicated supporters, their club represents more than entertainment. It forms part of their social circle, weekend routine, and emotional outlet. This connection makes football references feel like natural choices rather than security risks. The same phenomenon appears with other hobbies, including music artists, movie franchises, and gaming references, though sports fandom creates particularly concentrated patterns due to the global scale of major clubs.

Education campaigns have attempted to address these issues through various approaches. Some organizations use humor to highlight the problem, creating memes about common password mistakes. Others employ more direct warnings during account creation, flagging weak passwords in real time. Despite these efforts, many users continue choosing convenience over security, especially when the perceived risk feels abstract compared to the immediate satisfaction of using a meaningful password.

ExpressVPN’s research also examined regional differences in football password usage. European users showed higher rates of club-specific passwords, while users in regions where American sports dominate mixed football terms with references to NFL or NBA teams. South American users frequently incorporated national team references, particularly during World Cup qualification periods. These geographic patterns help attackers refine their guessing strategies, making regional targeting more effective.

The company stresses that changing existing passwords represents only the first step. Users should also review which accounts might contain sensitive information and prioritize those for immediate updates. Email accounts deserve particular attention since they often serve as recovery mechanisms for other services. A compromised primary email can lead to cascading failures across an entire digital life.

Password hygiene extends to how people store and share their credentials. Writing passwords on sticky notes, storing them in unencrypted text files, or sharing them through messaging apps creates additional vulnerabilities. Even when users choose strong passwords, poor management practices can render that strength meaningless. Modern password managers solve many of these problems by encrypting data and requiring master passwords that unlock access to the entire collection.

As artificial intelligence and machine learning improve, password cracking tools become increasingly sophisticated. What once required hours of manual guessing now happens in minutes through pattern recognition algorithms trained on millions of breached credentials. These systems identify common substitutions, regional preferences, and cultural references that humans might overlook. Football terms, with their global recognition and emotional significance, provide rich data sets for training such algorithms.

The warning from ExpressVPN serves as a timely reminder that security decisions often reflect human psychology more than technical knowledge. Even people who understand the risks of weak passwords sometimes make exceptions for accounts they consider unimportant. The problem lies in correctly identifying which accounts truly matter. A streaming service password might seem trivial until attackers use it to access linked payment information or pivot to more sensitive accounts.

Fans can still express their passion for the sport without compromising their digital security. Rather than incorporating team names directly, they might consider completely unrelated phrases or random combinations that hold personal meaning only to them. The goal involves creating passwords that resist both automated attacks and social engineering attempts based on publicly available information.

Security awareness continues growing as high-profile breaches make headlines regularly. Each incident reminds users that their personal data holds value on underground markets. Football fans, who often invest considerable time and emotion following their teams, should apply similar dedication to protecting their digital identities. The same analytical skills that help predict match outcomes can identify risky password patterns in their own habits.

The message remains straightforward. Love your team, support your players, and celebrate goals with appropriate enthusiasm. Just don’t let that passion create an own goal when it comes to protecting your personal information online. Strong, unique passwords combined with additional security measures provide the best defense against the growing sophistication of cyber threats. By breaking the habit of football-inspired credentials, fans can enjoy the sport they love without handing attackers an easy route into their digital lives.

Moving forward, technology companies bear responsibility for making secure practices easier to adopt. Simplified password managers, streamlined two-factor authentication processes, and clearer warnings during account creation all help users make better choices. Until these improvements become universal, however, individuals must take personal responsibility for avoiding predictable patterns that could expose them to unnecessary risk.

The intersection of sports fandom and cybersecurity highlights how deeply technology now intertwines with daily life and personal interests. What begins as innocent enthusiasm for a favorite team can evolve into a meaningful vulnerability when translated into password choices. Recognizing this connection represents the first step toward developing healthier digital habits that respect both passion for sport and the need for proper security measures. Through awareness and practical steps, football fans worldwide can protect themselves while continuing to enjoy the game that brings so much excitement to their lives.

from WebProNews https://ift.tt/297WKJt

LastPass Hit by Fresh Data Exposure as Supply-Chain Attack via Klue Steals Customer Records

Password manager LastPass finds itself explaining another security incident to its millions of users. This time the breach didn’t strike its core systems directly. Hackers instead compromised a third-party vendor called Klue. They swiped OAuth tokens. Those tokens opened the door to LastPass customer data sitting inside a Salesforce environment.

The details emerged Tuesday. TechCrunch reported that LastPass sent notices to affected customers. Names. Phone numbers. Email addresses. Physical addresses. Support case records. Sales-related CRM entries. All of it walked out the door. Yet the company stressed one key point. Customer password vaults stayed untouched. Stored credentials never left the building.

Short. Simple. And familiar to anyone who has followed LastPass over the past decade.

The supply-chain vector adds a new wrinkle. Klue provides market intelligence by linking company data to its platform. On June 12 a hacking group known as Icarus gained entry through a compromised legacy credential. TechCrunch detailed how the intruders pulled business contact information from multiple customers’ Salesforce databases and other cloud stores. Several cybersecurity firms confirmed losses. Gong. Jamf. HackerOne. Recorded Future. Tanium. Snyk. The list grew quickly. Klue posted an update on its site June 22. It described the theft but offered few specifics on the number of victims.

LastPass rotated the exposed tokens. It disabled employee access to Klue. It launched an investigation and notified law enforcement. The company also reminded users that its employees will never ask for a master password. Ever. That warning carries extra weight now.

But the incident lands on top of a troubled history. Go back to 2015. LastPass disclosed suspicious network activity. Email addresses. Password reminders. Salts. Authentication hashes left the premises. Encrypted vaults did not. Users felt uneasy. Many stayed anyway.

Then came 2022. The breach that still haunts the company. Attackers first compromised a developer’s laptop. They moved laterally. They reached cloud storage. They downloaded customer account details and encrypted password vault backups. Names. Billing addresses. Email addresses. Phone numbers. IP addresses. Website URLs. The works. AppleInsider noted the stark difference this week. The Klue event exposed support and sales data but left vaults alone. The 2022 theft gave adversaries encrypted files they could attack offline.

Weak master passwords from earlier accounts made cracking feasible. PBKDF2 iterations proved too low for some users. Criminals brute-forced vaults. They found crypto wallet keys. Reports later tied the haul to roughly $35 million in stolen cryptocurrency. Victims watched balances vanish. Trust eroded further.

Regulators took notice too. The UK’s Information Commissioner’s Office issued a £1.2 million fine. It cited failures in technical and organizational measures. Engineers used personal laptops for production keys. Personal and business vaults sometimes shared master passwords. AWS keys went unrotated after the first intrusion. The ISMS.online analysis laid out those lapses clearly. Compliance gaps became public exhibit A.

Class-action litigation followed. A proposed $8.2 million settlement covers 2022 victims. Claims deadline sits at July 2, 2026. Exclusion and objection dates passed in June. The Top Class Actions tracker keeps the timeline visible. Many users already migrated. Others remain. The latest notice revives old questions about whether any single breach ends the story.

And the phishing never stopped. In January 2026 LastPass warned of emails pretending to come from its infrastructure team. Subjects screamed about urgent maintenance. Recipients were told to back up vaults within 24 hours or risk loss. Links led to fake login pages. The company’s Threat Intelligence, Mitigation, and Escalation team updated its advisory on January 22. New domains. Fresh redirect chains. Same urgency playbook. The LastPass blog post listed indicators of compromise and urged blocking. Stolen support case data from the Klue incident could make those campaigns more convincing. Attackers now possess real conversation history. Real phone numbers. Real names.

Security researchers have questioned LastPass architecture for years. A February 2026 study from ETH Zurich’s Applied Cryptography Group found seven vulnerabilities. The team showed that a compromised server could view or modify passwords during normal operations such as login, vault access, or sync. Complex code added for features like account recovery and family sharing contributed. Outdated cryptography lingered. The Wikipedia entry on LastPass, citing the study, captured the zero-knowledge promise falling short under a malicious server model.

So what now? LastPass says it contained this incident. Tokens rotated. Integrations severed. Yet the pattern persists. Supply-chain attacks expose the reality that no company operates in isolation. Every vendor link becomes a potential doorway. Every OAuth token a potential master key.

Users face practical choices. Enable multifactor authentication everywhere possible. Adopt passkeys where services allow. Avoid clicking links in unexpected emails even when they reference real support tickets. Verify requests by typing official domains directly. Change master passwords to long, unique values if they haven’t been updated since 2022. Consider whether the convenience of one vault still outweighs repeated trust repairs.

The company continues to iterate. It strengthened master password requirements. It improved URL encryption. It published a roadmap of post-incident work. Those steps matter. They arrive late for some customers who lost funds or time.

Industry watchers see broader lessons. Password managers remain high-value targets. Their breach consequences stretch for years because one cracked vault unlocks dozens of accounts. Enterprises audit third-party integrations more aggressively now. They demand tighter token controls and just-in-time access. They test legacy credentials ruthlessly.

LastPass once dominated the consumer password manager market. Its user base still numbers in the tens of millions. The latest event may not trigger mass exodus on its own. But each new disclosure chips away at the foundation. Confidence doesn’t vanish overnight. It fades with every headline that begins the same way.

Hackers stole data again. Not the vaults this time. Not the encrypted secrets. Just the personal details that make targeted attacks sharper. The distinction offers cold comfort. In security the difference between exposed contact records and exposed passwords can disappear the moment a convincing phishing email lands in an inbox.

Stay alert. Verify everything. Assume the next message referencing your support history might not come from the company you trust.

from WebProNews https://ift.tt/rjXkqZM

Elon Musk Grabs Nearly 20% Voting Control at Tesla in Bold Post-SpaceX Move

Elon Musk just tightened his hold on Tesla. Securities filings show the chief executive exercised options on more than 300 million shares from his long-disputed 2018 compensation package. The transaction pushed his voting stake to roughly 19.9 percent. And it happened days after SpaceX completed its initial public offering.

The move carries weight. Musk now commands a larger voice in any shareholder vote. He cannot sell the shares until 2028. Yet the converted stock delivers immediate voting rights. That distinction matters for corporate decisions ahead.

Details emerged in a Form 4 filed with regulators. Musk exercised 303,960,630 options at a split-adjusted strike price of $23.34. Tesla shares closed near $405 the day of the transaction. The paper gain exceeded $115 billion. To cover the $7.1 billion exercise cost, the company withheld about 17.5 million shares. The Motley Fool first highlighted how this single action lifted Musk’s influence without any cash outlay from him.

But why now? Musk had until August under the original terms. He acted sooner after SpaceX went public last week. The timing aligns with his desire for stronger sway at Tesla. Back in January 2024 he posted on X that he needed about 25 percent voting power to feel comfortable directing the company’s artificial-intelligence and robotics efforts. Anything less, he suggested, left him exposed to outside pressure.

Tesla’s board anticipated this outcome. An April agreement converted the options into restricted shares that vest in 2028. Those instruments still carry voting rights that Musk can exercise immediately, according to the filing. The structure gives him greater say today while locking the shares away for years. Observers see it as a pragmatic response to years of legal drama over the original pay deal.

Courts and shareholders have tangled over that 2018 package for some time. A Delaware judge struck it down in 2024, citing board conflicts. Shareholders ratified it again months later. The Delaware Supreme Court later reversed parts of the cancellation. By late 2025 the board signed an implementation agreement to deliver the shares. Musk received the options originally after Tesla hit aggressive market-value and operational targets. Every tranche vested.

The fresh stake brings Musk closer to the 25 percent threshold he has sought. He already held shares through a trust. Combined, his position now totals about 700 million shares. That figure represents nearly one-fifth of Tesla’s outstanding stock. Short-term, the increase shores up his ability to shape strategy around autonomous driving, robotaxis and humanoid robots.

Longer term, talk of a SpaceX merger has intensified. SpaceX boasts an $1.8 trillion-plus valuation following its IPO. Musk controls roughly 38 percent of its equity and about 85 percent of the voting power through supervoting shares. Tesla trades with a market value near $1.5 trillion to $2 trillion in recent sessions. A combination would create a behemoth spanning electric vehicles, space travel, artificial intelligence and satellite internet.

Analysts at Wedbush Securities put the odds of a deal within the next year at 80 percent. Prediction markets place it near even. Musk’s elevated Tesla voting power removes one obstacle. Any merger would still require shareholder approval and complex negotiations over valuation and governance. Yet the gap between his influence at each company has narrowed. At SpaceX he faces little pushback. At Tesla he has spent years fighting for more control.

Investors reacted with familiar volatility. Tesla shares rose modestly in the days after the filing. Some saw the exercise as proof of Musk’s long-term commitment. Others wondered whether it signals preparation for bigger moves. One thing seems clear. Musk wants his voice to carry more weight as Tesla bets its future on software and robotics rather than pure auto sales.

The company’s core business shows strains. Revenue climbed 16 percent in the first quarter to $22.4 billion. Yet Tesla built 50,000 more vehicles than it sold. Net income reached $477 million, up 17 percent from a year earlier. That profit looks small against a trillion-dollar-plus market capitalization. The stock trades at roughly 370 times earnings. For 2025, revenue actually declined in some periods and fourth-quarter profit fell 61 percent. Wall Street has priced in success in autonomy that has not yet arrived at scale.

Musk’s increased stake may calm some fears about his divided attention. He leads multiple companies. Critics have questioned whether Tesla receives enough focus. The 20 percent voting block gives him more protection against activist investors or unhappy shareholders. It also aligns his incentives more closely with those who believe Tesla’s real value lies in its data, artificial-intelligence capabilities and potential robotaxi network.

Recent coverage adds color. The Wall Street Journal reported that Musk swapped the options for shares he can vote but cannot sell until 2028. The story noted the transaction followed directly on the heels of SpaceX’s IPO. Yahoo Finance echoed the voting-power jump to nearly 20 percent and tied it to the 2018 award. Teslarati calculated the exact paper gain at $115.9 billion and emphasized how the stake strengthens Musk’s position ahead of any potential merger vote.

Market chatter on X reflected the news within hours. Users debated whether the move clears the path for a SpaceX-Tesla tie-up. Some highlighted Musk’s 85 percent voting control at the rocket company. Others pointed to Tesla’s need for talent in artificial intelligence and robotics. One post noted that retaining Musk long-term proves critical for attracting top engineers. The sentiment aligns with arguments Tesla’s proxy materials made during last year’s pay-package debate.

Still, questions linger. How will regulators view a merger between two Musk-led giants? What valuation would satisfy Tesla shareholders who just saw their voting influence diluted slightly? And can Musk deliver on the ambitious targets that would unlock even more shares under newer compensation plans? Those plans, approved by shareholders in 2025, could eventually push his ownership toward 25 percent or higher if Tesla hits aggressive market-cap milestones up to $8.5 trillion.

For now the immediate effect is clear. Musk holds more cards at the table. His 19.9 percent stake does not grant absolute control. Institutional investors and index funds still own large chunks. Yet it moves him closer to the comfort level he has publicly demanded. In a company where vision and execution rest heavily on one man, that extra influence could prove decisive.

Tesla’s board has signaled confidence in this direction. Directors recused Musk and his brother Kimbal from certain votes on compensation. They crafted structures to tie rewards to performance while granting voting rights sooner. The approach reflects a belief that Musk’s leadership remains central to Tesla’s success in artificial intelligence, energy storage and transportation.

Shareholders will watch closely. Some cheered the news as affirmation of Musk’s dedication. Others worry about concentration of power. History shows Musk can drive extraordinary results. Tesla’s rise from near bankruptcy to one of the world’s most valuable companies stands as evidence. But it also shows the risks when so much hinges on a single executive’s bandwidth and decisions.

The coming months will test whether this increased voting power translates into clearer strategy or fuels more speculation about mergers. Musk has posted frequently on X about artificial intelligence, robotics and his other ventures. Each comment now lands with slightly more corporate authority at Tesla. That shift may not grab headlines like a rocket launch or a new vehicle unveil. Its impact could run deeper.

One fact stands out. Musk exercised the options without selling a single share on the open market. His economic exposure to Tesla remains fully intact. The voting rights simply give him more say over the company’s path. In an industry racing toward autonomous everything, that voice may determine whether Tesla leads or follows.

Analysts will debate the merger odds for weeks. Wedbush’s bullish stance contrasts with more cautious forecasts that cite regulatory and execution hurdles. Prediction markets capture the uncertainty. Yet few dispute that Musk’s stronger position at Tesla makes any deal structurally easier than it was at 13 percent or 15 percent ownership.

The 2018 package, once worth tens of billions, now sits at the center of a mature corporate saga. What began as incentive pay has become a tool for governance. Musk got the shares. Tesla got a committed leader with amplified influence. Investors get a stock that continues to trade on future promise more than current profits.

So the question hangs. Will 20 percent prove enough? Or does Musk still push toward that 25 percent target? The answer may come in future filings, compensation tweaks or, perhaps, a surprise announcement that links his two largest companies under one roof. For an executive who dislikes uncertainty in his own control, the recent transaction removes some doubt. Tesla’s direction just became a bit more his to set.

from WebProNews https://ift.tt/F0GKwA9

Windows 11’s Recycle Bin Glitch Exposes Internal File Names After June Update

Microsoft has owned up to a peculiar flaw in its latest Windows security release. When users attempt to permanently delete a single file from the Recycle Bin, the confirmation dialog now shows an obscure internal system name instead of the familiar original filename. Think $RABC123.txt rather than report-final-draft.docx. The bug surfaced after organizations installed the June 2026 Patch Tuesday updates, and it affects nearly every supported version of Windows client and server software.

The issue does not corrupt data. The Recycle Bin list itself still displays correct names. Restoring items works normally. The actual deletion proceeds as expected once a user clicks through the confusing prompt. Yet the mismatch leaves many wondering exactly which file they are about to erase forever. A small annoyance. One that lands at a moment when patience with Windows quality feels especially thin.

BleepingComputer first detailed how the problem appears across Windows 11 versions 26H1 through 23H2, multiple Windows 10 releases including LTSC editions, and every major Windows Server variant from 2025 back to 2012 R2. Microsoft updated its release health dashboard on June 18 to acknowledge the regression, tracking it against builds that received KB5094126 and related packages. A fix, the company says, will arrive in a future update. For now, enterprise administrators can request a temporary workaround by contacting Microsoft Support for Business.

The timing feels familiar. Patch Tuesday rolls out critical security fixes, then fresh problems emerge. This month the list already included reports of OneDrive access failures, sluggish File Explorer performance, random blue screens on certain HP hardware, system freezes on Lenovo machines, and unexpected BitLocker recovery screens. TechSpot cataloged those additional complaints, many posted to Microsoft forums in the days immediately after the June 9 rollout. The Recycle Bin glitch stands out only because Microsoft chose to document it officially.

Users took to Reddit and other forums with sharper reactions. One commenter wrote, “This update broke me, I’m so fed up with Win 11 and all the issues that at this very moment I’m installing Linux on my desktop.” Others declared “Bye Microslop!” The chorus of frustration quickly turned toward a popular suspect: artificial intelligence tools writing production code. Many suggested that GitHub Copilot or similar systems inside Microsoft may have contributed to the slip. No evidence directly ties this specific bug to AI-generated code. But the speculation reflects broader fatigue.

Microsoft itself has been transparent about its embrace of AI inside development workflows. CEO Satya Nadella noted last year that roughly 30 percent of code at the company was already being produced with AI assistance, a figure likely higher today. The company has integrated Copilot across its engineering teams to accelerate routine tasks and catch obvious errors. Yet speed sometimes trades against depth of review. When a low-level component such as the shell dialog that handles Recycle Bin operations receives an unintended change, the result can be exactly this sort of cosmetic but trust-eroding failure.

The Recycle Bin has never been glamorous engineering. It sits at the intersection of file system filters, shell extensions, and user interface libraries that have accumulated decades of legacy behavior. Internal filenames like those beginning with $R have existed since the earliest days of the feature; they serve as safe placeholders while the original path and name are stored separately. A developer modifying the confirmation dialog logic might easily overlook how a string pointer resolves under certain single-item deletion paths. But such an oversight reaching production across every supported Windows edition points to gaps in regression testing or code review practices that many insiders now openly question.

And the pattern repeats. Earlier Windows 11 updates have introduced printer spooler crashes, taskbar glitches, and search failures that also seemed to escape standard quality gates. Each time Microsoft promises improved automated testing, tighter CI/CD pipelines, and better simulation of real-world hardware configurations. Each time a new batch of regressions appears. The June 2026 release simply supplies the latest data point.

Commercial customers now have a path to the workaround, though details remain hidden behind support tickets. Consumers must simply live with the odd dialog until the next cumulative update lands. For IT departments managing thousands of endpoints the bug is mostly a support nuisance rather than a crisis. Still, it chips away at confidence. Administrators already spend hours validating patches in test rings. When even the trash can behaves strangely, questions arise about what else might have changed quietly.

Microsoft has not commented publicly on the AI speculation. Its release health entry sticks to technical facts and the promise of a future fix. That silence leaves room for continued online debate. Some developers argue that AI tools excel at boilerplate but struggle with edge cases in mature codebases like Windows. Others counter that human engineers remain responsible for final sign-off and that blaming AI has become a convenient deflection. The truth probably sits somewhere in the middle. Tools that generate code faster also demand reviewers who understand both the generated output and the intricate systems it touches.

Recent coverage reinforces how widespread the reaction has become. Cyber Security News noted the bug was confirmed against OS Build 26100.32995 under KB5094125 and emphasized that the issue remains cosmetic with no risk of data loss. Windows Latest reproduced the behavior on multiple PCs and confirmed that the original names continue to appear correctly inside the Recycle Bin window itself. The consensus across these reports is clear: the bug does not threaten files, yet it damages perception of quality at a time when Microsoft is pushing Windows 11 adoption hard.

So what happens next? Microsoft will almost certainly ship a targeted fix in July or an out-of-band package if pressure mounts. The company has grown more willing to accelerate non-security updates when user pain is visible. In the meantime, the episode offers a window into larger tensions. Windows remains an astonishingly complex product serving billions of devices with wildly different configurations. AI assistance can speed development, but it cannot replace the institutional knowledge required to keep every dialog, every shell extension, and every legacy code path behaving as users expect.

The Recycle Bin bug itself will be forgotten once the dialog once again shows the right name. The larger conversation about how Microsoft balances velocity, AI adoption, and reliability will continue. Users installing Linux in frustration represent an extreme response. Most will simply sigh, click Yes on the strange prompt, and move on. But each sigh accumulates. For an operating system that once defined personal computing, even small erosions of trust matter.

from WebProNews https://ift.tt/IXUx206