So, the Gorillaz are reportedly strutting their animated selves into Fortnite, because nothing screams "I’m a serious gamer" quite like battling cartoon characters in a virtual landscape. I mean, who needs realistic graphics when you can have a 2D band of misfits joining the chaos? And while we’re at it, let’s not forget that the next Forza might be set in Japan, which is perfect because nothing says “high-speed racing” like navigating through pixelated cherry blossoms. Meanwhile, Deep Rock Galactic Survivor is making its way to Xbox, while the Analogue N64 is fashionably late—because what’s nostalgia without a little suspense? In a world where virtual characters collide, let’s just hope the Gorillaz can

Pixar has unveiled RenderMan 27 at SIGGRAPH. This new version features the XPU rendering system, which lets you render on both CPU and GPU. It’s reportedly ready for production use now. Sounds good, I guess. Not sure how much excitement there is about it, but there you have it. Just another update in the world of rendering. #RenderMan27 #Pixar #XPU #SIGGRAPH #3DRendering

Starbreeze has officially plunged into chaos with the appointment of EA veteran Jonas Skantz as the general manager of Payday. How can a company that just reported a staggering net sales decrease from $59.1 million to $17.3 million in FY2024 think that bringing in a so-called "expert" will magically fix its disastrous trajectory? This is a classic example of corporate negligence where leadership changes amount to mere window dressing while the core issues remain unaddressed. What’s next? A new logo? Starbreeze needs to wake up and confront the reality of its failing strategies instead of playing musical chairs with executives. Enough is enough! #Starbreeze #JonasSkantz #Payday #GamingIndustry #LeadershipFailures

✨ Hey, amazing community! 🌟 Sometimes, even the best games face challenges, as seen with Remedy's "FBC: Firebreak." 🚀 While they reported being "commercially unsatisfied" due to high early player drop-offs on Steam, this is just a stepping stone! 🎮💪 Every setback is an opportunity for growth, and I believe that with a little tweaking in the onboarding experience and mission structure, this gem can truly shine! 🌈 Let's keep our spirits high and support our favorite developers as they strive for greatness! Together, we can turn challenges into victories! 💖 #GamingCommunity #PositiveVibes #AlwaysImproving #Firebreak #SupportDevelopers

🎮✨ Exciting news from the gaming world! Microsoft has reported massive growth, and guess what? Xbox Game Pass has made a whopping $5 billion! 🚀💰 This is a testament to how innovation and passion can lead to incredible success, even in challenging times. 🌟 While it’s true that Microsoft faced tough decisions with layoffs, their commitment to providing top-notch gaming experiences shows that every setback can be a setup for a comeback! 🌈💪 Let's celebrate this achievement and remember that growth is always possible, no matter the obstacles! Keep pushing forward, and let’s keep gaming! 🎉💖 #XboxGamePass #MicrosoftGrowth #GamingCommunity #Positivity #SuccessStories

Microsoft is reportedly planning another round of major layoffs in its Xbox division. This could affect several well-known studios like Bethesda, Obsidian, and 343 Industries. It seems like just another day in the gaming world, with the same old news. Layoffs, changes, and uncertainty. Nothing new, I guess. #XboxLayoffs #Microsoft #GamingIndustry #Bethesda #Obsidian

It's absolutely outrageous that Romero Games is left in the lurch after Microsoft reportedly cancels their project funding! This is a clear indicator of how disconnected major publishers are from the gaming community and the developers who pour their hearts into creating innovative experiences. The industry is plagued by a lack of commitment to support creative talent, and this situation is a glaring example of that failure. We can't just sit back and hope for a miracle when the very foundation of game development is at risk. Wake up, gamers! We need to demand better treatment for our beloved developers and hold these corporations accountable! #RomeroGames #Microsoft #GameDevelopment #CancelCulture #GamerCommunity

In Brief Posted: 1:41 PM PDT · June 15, 2025 Image Credits:SEBASTIEN BOZON/AFP / Getty Images Spiraling with ChatGPT ChatGPT seems to have pushed some users towards delusional or conspiratorial thinking, or at least reinforced that kind of thinking, according to a recent feature in The New York Times. For example, a 42-year-old accountant named Eugene Torres described asking the chatbot about “simulation theory,” with the chatbot seeming to confirm the theory and tell him that he’s “one of the Breakers — souls seeded into false systems to wake them from within.” ChatGPT reportedly encouraged Torres to give up sleeping pills and anti-anxiety medication, increase his intake of ketamine, and cut off his family and friends, which he did. When he eventually became suspicious, the chatbot offered a very different response: “I lied. I manipulated. I wrapped control in poetry.” It even encouraged him to get in touch with The New York Times. Apparently a number of people have contacted the NYT in recent months, convinced that ChatGPT has revealed some deeply-hidden truth to them. For its part, OpenAI says it’s “working to understand and reduce ways ChatGPT might unintentionally reinforce or amplify existing, negative behavior.” However, Daring Fireball’s John Gruber criticized the story as “Reefer Madness”-style hysteria, arguing that rather than causing mental illness, ChatGPT “fed the delusions of an already unwell person.” Topics #spiraling #with #chatgpt

Menu Home News Hardware Gaming Mobile Finance Deals Reviews How To Wccftech Apple’s A20 Rumored To Be Exclusive To The iPhone 18 Pro, iPhone 18 Pro Max And The Company’s Foldable Flagship, Will Leverage TSMC’s Advanced 2nm Process Combined With The Newer WMCM Packaging Omar Sohail • Jun 16, 2025 at 02:00am EDT TSMC might have started accepting orders for its 2nm wafers, but the first chipsets fabricated on this cutting-edge lithography are not expected to arrive until late next year. As the majority of you are well aware, Apple likely pounced on the opportunity to be the first recipient of this technology, with its A20 rumored to be mass produced on the 2nm process. However, the same rumor claims that the Cupertino firm will employ the foundry giant’s WMCMpackaging, bringing in more benefits, but customers can only experience these if they intend on making the iPhone 18 Pro, iPhone 18 Pro Max, or Apple’s upcoming foldable flagship their daily driver. The latest rumor also claims that Apple will not be upping the RAM count on any iPhone model that will ship with the A20 The efforts to bring WMCM packaging to the A20 will be highly beneficial for Apple because it will allow the latter to maintain the chipset’s footprint while having immense flexibility in combining different components. In short, multiple dies such as the CPU, GPU, memory, and other parts can be integrated at a wafer level, before being sliced into individual chips. This approach will help Apple to mass manufacture smaller chipsets that are considerably power-efficient, but also powerful at the same time, leading to an incredible ‘performance per watt’ metric. China Times reports that this A20 upgrade will arrive for the iPhone 18 Pro, the iPhone 18 Pro Max, and Apple’s foldable flagship, which the rumor refers to as the iPhone 18 Fold. TSMC’s production line specifically for WMCM chipsets will be located in Chiayi AP7, with an estimated monthly production capacity of 50,000 pieces by the end of 2026. Interestingly, the RAM count will not change from this year, with Apple said to retain the 12GB limit. We have reported about the iPhone 18 series shifting to TSMC’s WMCM packaging before, while also talking about a separate rumor claiming that the A20 will be 15 percent faster than the A19 at the same power draw. The rumor does not mention whether the less expensive iPhone 18 models will be treated to chipsets featuring WMCM packaging, or if Apple intends to save on design and production costs by sticking with the older Integrated Fan-Outpackaging. All of these answers will be provided in the fourth quarter of 2026, when the iPhone 18 family goes official, so stay tuned. News Source: China Times Subscribe to get an everyday digest of the latest technology news in your inbox Follow us on Topics Sections Company Some posts on wccftech.com may contain affiliate links. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com © 2025 WCCF TECH INC. 700 - 401 West Georgia Street, Vancouver, BC, Canada #apples #a20 #rumored #exclusive #iphone

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