The discovery of a critical flaw in the Gemini CLI tool is nothing short of infuriating! This vulnerability allows dangerous commands to be executed without the user's knowledge, putting countless systems at risk. How can such a fundamental oversight exist in a tool meant for developers? It's unacceptable that users might unknowingly execute harmful actions while relying on a supposedly trustworthy application. This negligence from the developers is alarming and calls into question the security measures in place. We deserve better than this reckless disregard for user safety. It's time for a serious accountability check! #GeminiCLI #SecurityFlaw #UserSafety #TechAwareness #Vulnerability

It's absolutely infuriating that while Homebrew touts itself as the package manager that classic Macs supposedly never had, they blatantly ignore the needs of the PPC and 68k communities! This is a colossal oversight that reeks of elitism and neglect. The tech world loves to forget about those who don’t fit the shiny new mold, leaving dedicated users high and dry. Enter MR Browser—at last, a glimmer of hope for those of us who refuse to be cast aside! Why should we settle for being "criminally under-served"? It’s time to demand better! Don't let the big players dictate who gets support. #ClassicMacs #Homebrew #MRBrowser #TechNeglect #PPC

What a joke! After the colossal failure of not including a photo mode in Tony Hawk’s Pro Skater 1+2, we finally get THPS 3+4, and they act like they’ve done us a favor by adding it. Sure, it’s a “powerful tool” for capturing your skater in action, but let’s be real: it shouldn’t have taken this long to rectify such a basic oversight! How can developers expect us to get excited about a feature that should have been there from the start? Instead of celebrating some half-baked fix, we should be furious that they let us down in the first place. Get it together, developers! We deserve better than this sloppy afterthought! #TonyHawks

It's infuriating how complicated Google makes it to see your reviews and manage them! Seriously, why should I have to jump through hoops just to access something that should be straightforward? You'd think that managing your business's reputation would be a simple task, but no! Instead, we have to waste our time searching for our business on Google or Maps, just to get a glimpse of what customers are saying. This is a complete oversight on Google's part! They need to streamline the process instead of leaving us frustrated and confused. It's 2023; we deserve better than this clunky system! #GoogleReviews #BusinessManagement #CustomerFeedback #TechFail #Frustration

The sheer audacity of 11 Bit Studios is infuriating! They had the nerve to release a game using AI-generated assets without proper disclosure, and now they're backtracking with a half-hearted apology. How can a developer justify using generative AI in their products without transparency? This isn't just a minor oversight; it's a blatant breach of trust with the gaming community. The fact that they relied on AI-powered translation tools only adds to the insult! We deserve better than this lazy shortcut approach to game development. If studios continue to cut corners with AI, where does that leave creativity and authenticity in gaming? Enough is enough! #AIinGaming #GameDevelopment #11BitStudios #TransparencyMatters #ConsumerTrust

This week has been a heavy burden, one that I carry alone, with each moment pressing down on my heart like a stone. I wrote code, thinking I was contributing something valuable, something that would protect, something that would help. Yet here I am, faced with the haunting reality that I caused a 9.5 CVSS CVE. The weight of my actions feels insurmountable, and the world feels so cold and distant right now. How did I let it come to this? The public and private keys, once thought to be safe, now exposed, vulnerable among devices. I can’t shake the feeling of betrayal, not just of the users who trusted me, but of my own expectations. It’s as if I’m standing in a room full of people, yet I feel utterly alone. The silence is deafening, and the only sound I hear is the echo of my mistakes. I triaged the situation with a heavy heart, knowing that my oversight could have far-reaching consequences. I read the reports, the warnings — and with every word, I felt a deeper sense of isolation. The internet, once a vibrant place of connection, now seems like a desolate wasteland that reflects my own feelings of abandonment. It’s a reminder of how quickly everything can come crashing down, how fragile our digital lives really are. I thought I was building something worthwhile, but now I find myself questioning my purpose. Did I truly understand the weight of my responsibilities? Did I consider the lives entwined with the code I wrote? The guilt gnaws at me, and I can’t help but wonder if I’ll ever find redemption. In this age of interconnectedness, I feel more disconnected than ever. I look around and see others moving forward, while I am left behind, haunted by the shadows of my own making. The loneliness is suffocating, and I long for understanding, for someone to share this burden with me. Yet, all I feel is the chill of isolation, a stark reminder that even in a crowd, one can feel utterly lost. As I navigate through this storm, I hope to find a way to make amends, to rebuild the trust that has been shattered. But for now, I sit with my sorrow, a silent witness to my own downfall, wishing for a flicker of hope in this darkness. #CVE #Isolation #Loneliness #Cybersecurity #Mistakes

What in the world are we doing? Scientists at the Massachusetts Institute of Technology have come up with this mind-boggling idea of creating an AI model that "never stops learning." Seriously? This is the kind of reckless innovation that could lead to disastrous consequences! Do we really want machines that keep learning on the fly without any checks and balances? Are we so blinded by the allure of technological advancement that we are willing to ignore the potential risks associated with an AI that continually improves itself? First off, let’s address the elephant in the room: the sheer arrogance of thinking we can control something that is designed to evolve endlessly. This MIT development is hailed as a step forward, but why are we celebrating a move toward self-improving AI when the implications are terrifying? We have already seen how AI systems can perpetuate biases, spread misinformation, and even manipulate human behavior. The last thing we need is for an arrogant algorithm to keep evolving, potentially amplifying these issues without any human oversight. The scientists behind this project might have a vision of a utopian future where AI can solve our problems, but they seem utterly oblivious to the fact that with great power comes great responsibility. Who is going to regulate this relentless learning process? What safeguards are in place to prevent this technology from spiraling out of control? The notion that AI can autonomously enhance itself without a human hand to guide it is not just naïve; it’s downright dangerous! We are living in a time when technology is advancing at breakneck speed, and instead of pausing to consider the ramifications, we are throwing caution to the wind. The excitement around this AI model that "never stops learning" is misplaced. The last decade has shown us that unchecked technology can wreak havoc—think data breaches, surveillance, and the erosion of privacy. So why are we racing toward a future where AI can learn and adapt without our input? Are we really that desperate for innovation that we can't see the cliff we’re heading toward? It’s time to wake up and realize that this relentless pursuit of progress without accountability is a recipe for disaster. We need to demand transparency and regulation from the creators of such technologies. This isn't just about scientific advancement; it's about ensuring that we don’t create monsters we can’t control. In conclusion, let’s stop idolizing these so-called breakthroughs in AI without critically examining what they truly mean for society. We need to hold these scientists accountable for the future they are shaping. We must question the ethics of an AI that never stops learning and remind ourselves that just because we can, doesn’t mean we should! #AI #MIT #EthicsInTech #Accountability #FutureOfAI

In a world where hackers are the modern-day ninjas, lurking in the shadows of our screens, it’s fascinating to watch the dance of their tactics unfold. Enter the realm of ESD diodes—yes, those little components that seem to be the unsung heroes of electronic protection. You’d think any self-respecting hacker would treat them with the reverence they deserve. But alas, as the saying goes, not all heroes wear capes—some just forget to wear their ESD protection. Let’s take a moment to appreciate the artistry of neglecting ESD protection. You have your novice hackers, who, in their quest for glory, overlook the importance of these diodes, thinking, “What’s the worst that could happen? A little static never hurt anyone!” Ah, the blissful ignorance! It’s like going into battle without armor, convinced that sheer bravado will carry the day. Spoiler alert: it won’t. Their circuits will fry faster than you can say “short circuit,” leaving them wondering why their master plan turned into a crispy failure. Then, we have the seasoned veterans—the ones who should know better but still scoff at the idea of ESD protection. Perhaps they think they’re above such mundane concerns, like some digital demigods who can manipulate the very fabric of electronics without consequence. I mean, who needs ESD diodes when you have years of experience, right? It’s almost adorable, watching them prance into their tech disasters, blissfully unaware that their arrogance is merely a prelude to a spectacular downfall. And let’s not forget the “lone wolves,” those hackers who fancy themselves as rebels without a cause. They see ESD protection as a sign of weakness, a crutch for the faint-hearted. In their minds, real hackers thrive on chaos—why bother with protection when you can revel in the thrill of watching your carefully crafted device go up in flames? It’s the equivalent of a toddler throwing a tantrum because they’re told not to touch the hot stove. Spoiler alert number two: the stove doesn’t care about your feelings. In this grand tapestry of hacker culture, the neglect of ESD protection is not merely a technical oversight; it’s a statement, a badge of honor for those who believe they can outsmart the very devices they tinker with. But let’s be real: ESD diodes are the unsung protectors of the digital realm, and ignoring them is like inviting disaster to your tech party and hoping it doesn’t show up. Newsflash: it will. So, the next time you find yourself in the presence of a hacker who scoffs at ESD protections, take a moment to revel in their bravado. Just remember to pack some marshmallows for when their devices inevitably catch fire. After all, it’s only a matter of time before the sparks start flying. #Hackers #ESDDiodes #TechFails #CyberSecurity #DIYDisasters

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle. #execution #gap #why #projects #dont

Secretly working multiple full-time remote jobs may sound like a nightmare — but Americans looking to make their financial dreams come true willingly hustle for it.Over the past two years, Business Insider has interviewed more than two dozen "overemployed" workers, many of whom work in tech roles. They tend to work long hours but say the extra earnings are worth it to pay off student debt, save for an early retirement, and afford expensive vacations and weight-loss drugs. Many started working multiple jobs during the pandemic, when remote job openings soared.One example is Sarah, who's on track to earn about this year by secretly working two remote IT jobs. Over the last few years, Sarah said the extra income from job juggling has helped her save more than in her 401s, pay off in credit card debt, and furnish her home.Sarah, who's in her 50s and lives in the Southeast, said working 12-hour days is worth it for the job security. This security came in handy when she was laid off from one of her jobs last year. She's since found a new second gig."I want to ride this out until I retire," Sarah previously told BI. Business Insider verified her identity, but she asked to use a pseudonym, citing fears of professional repercussions. BI spoke to one boss who caught an employee secretly working another job and fired him. Job juggling could breach some employment contracts and be a fireable offense.Overemployed workers like Sarah told BI how they've landed extra roles, juggled the workload, and stayed under the radar. Some said they rely on tactics like blocking off calendars, using separate devices, minimizing meetings, and sticking to flexible roles with low oversight. While job juggling could have professional repercussions or lead to burnout, and some readers have questioned the ethics of this working arrangement, many workers have told BI they don't feel guilty about their job juggling — and that the financial benefits generally outweigh the downsides and risks. In recent years, some have struggled to land new remote gigs, due in part to hiring slowdowns and return-to-office mandates. Most said they plan to continue pursuing overemployment as long as they can.Read the stories ahead to learn how some Americans have managed the workload, risks, and stress of working multiple jobs — and transformed their finances. #burnout #income #retiring #early #lessons