Dave the Diver's In the Jungle DLC has been delayed and will no longer release in 2025, Mintrocket has announced. However, the Nexon-owned company has also shared some good news for Dave the Diver fans regarding the game's past and current DLC packs. #dave #diver #jungle #dlc #hit

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

Menu Home News Hardware Gaming Mobile Finance Deals Reviews How To Wccftech Mobile London Couple Tracks Down And Recovers £46,000 Jaguar Using Hidden AirTag After Police Fail To Act On Real-Time Location Of Stolen Vehicle Ali Salman • Jun 14, 2025 at 06:08pm EDT Apple's AirTag accessory is becoming more than just a way to find lost keys with its advanced tracking system. The accessory is unexpectedly becoming a hero when it comes to recovering stolen vehicles. In a new real-world case that highlights the AirTag's precision tracking, a London-based couple successfully located and recovered their £46,000 Jaguar E-Pace, while the police failed to take immediate action despite having real-time location data. A couple used an AirTag to track their stolen Jaguar and recovered it themselves after police delayed their response. The incident took place on June 3 in Brook Green, Hammersmith, where the couple's Jaguar was stolen from their home. Little did the thieves know, the vehicle was stashed with an AirTag, which led the couple to the location of their car in a nearby neighborhood, Chiswick. The AirTag did its job quite well and provided the couple with the location of their stolen vehicle, which was then forwarded to the Metropolitan Police. Even after the police had the location of the stolen Jaguar, the response was not what the couple was expecting. The owner of the vehicle told BBC News: “I wanted to act quite quickly as my fear was that we would find the AirTag and not the car when it was discarded on to the street without the car, so I told them that we were planning to head to the location.” Instead of taking action and sending backup right there and then, the police merely acknowledged the risky plan and advised the couple to call again if needed. The couple decided to go to the location by themselves, which was a risky move. They found the car parked on a residential street, and after bypassing the remote security systems, the couple was able to remotely unlock the car and recover it successfully. In a statement shared by the Metropolitan Police, “This investigation is ongoing, and officers met the victim on Tuesday, 10 June, as part of their inquiries.” While the story ends with a win for the victims and for the AirTags, it does raise questions about police responsiveness in technology-assisted theft cases. Apple has never marketed the AirTags as an anti-theft device and instead, it warns users not to recover stolen property due to potential safety risks. All in all, we are glad that the stolen car was recovered and the couple was safe by the end of the day. Moreover, stories like these also highlight the growing role of smart tracking accessories used in the personal security space, alongside the growing need for authorities to take measures accordingly. 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 #london #couple #tracks #down #recovers

Reading Time: 9 minutes In the ever-evolving landscape of customer engagement, staying ahead of the curve is not just advantageous, it’s essential. That’s why, for Chapter 7 of “The Customer Engagement Book: Adapt or Die,” we sat down with Mirela Cialai, a seasoned expert in CRM and Martech strategies at brands like Equinox. Mirela brings a wealth of knowledge in aligning technology roadmaps with business goals, shifting organizational focuses from acquisition to retention, and leveraging hyper-personalization to drive success. In this interview, Mirela dives deep into building robust customer engagement technology roadmaps. She unveils the “PAPER” framework—Plan, Audit, Prioritize, Execute, Refine—a simple yet effective strategy for marketers. You’ll gain insights into identifying gaps in your Martech stack, ensuring data accuracy, and prioritizing initiatives that deliver the greatest impact and ROI. Whether you’re navigating data silos, striving for cross-functional alignment, or aiming for seamless tech integration, Mirela’s expertise provides practical solutions and actionable takeaways.   Mirela Cialai Q&A Interview 1. How do you define the vision for a customer engagement platform roadmap in alignment with the broader business goals? Can you share any examples of successful visions from your experience? Defining the vision for the roadmap in alignment with the broader business goals involves creating a strategic framework that connects the team’s objectives with the organization’s overarching mission or primary objectives. This could be revenue growth, customer retention, market expansion, or operational efficiency. We then break down these goals into actionable areas where the team can contribute, such as improving engagement, increasing lifetime value, or driving acquisition. We articulate how the team will support business goals by defining the KPIs that link CRM outcomes — the team’s outcomes — to business goals. In a previous role, the CRM team I was leading faced significant challenges due to the lack of attribution capabilities and a reliance on surface-level metrics such as open rates and click-through rates to measure performance. This approach made it difficult to quantify the impact of our efforts on broader business objectives such as revenue growth. Recognizing this gap, I worked on defining a vision for the CRM team to address these shortcomings. Our vision was to drive measurable growth through enhanced data accuracy and improved attribution capabilities, which allowed us to deliver targeted, data-driven, and personalized customer experiences. To bring this vision to life, I developed a roadmap that focused on first improving data accuracy, building our attribution capabilities, and delivering personalization at scale. By aligning the vision with these strategic priorities, we were able to demonstrate the tangible impact of our efforts on the key business goals. 2. What steps did you take to ensure data accuracy? The data team was very diligent in ensuring that our data warehouse had accurate data. So taking that as the source of truth, we started cleaning the data in all the other platforms that were integrated with our data warehouse — our CRM platform, our attribution analytics platform, etc. That’s where we started, looking at all the different integrations and ensuring that the data flows were correct and that we had all the right flows in place. And also validating and cleaning our email database — that helped, having more accurate data. 3. How do you recommend shifting organizational focus from acquisition to retention within a customer engagement strategy? Shifting an organization’s focus from acquisition to retention requires a cultural and strategic shift, emphasizing the immense value that existing customers bring to long-term growth and profitability. I would start by quantifying the value of retention, showcasing how retaining customers is significantly more cost-effective than acquiring new ones. Research consistently shows that increasing retention rates by just 5% can boost profits by at least 25 to 95%. This data helps make a compelling case to stakeholders about the importance of prioritizing retention. Next, I would link retention to core business goals by demonstrating how enhancing customer lifetime value and loyalty can directly drive revenue growth. This involves shifting the organization’s focus to retention-specific metrics such as churn rate, repeat purchase rate, and customer LTV. These metrics provide actionable insights into customer behaviors and highlight the financial impact of retention initiatives, ensuring alignment with the broader company objectives. By framing retention as a driver of sustainable growth, the organization can see it not as a competing priority, but as a complementary strategy to acquisition, ultimately leading to a more balanced and effective customer engagement strategy. 4. What are the key steps in analyzing a brand’s current Martech stack capabilities to identify gaps and opportunities for improvement? Developing a clear understanding of the Martech stack’s current state and ensuring it aligns with a brand’s strategic needs and future goals requires a structured and strategic approach. The process begins with defining what success looks like in terms of technology capabilities such as scalability, integration, automation, and data accessibility, and linking these capabilities directly to the brand’s broader business objectives. I start by doing an inventory of all tools currently in use, including their purpose, owner, and key functionalities, assessing if these tools are being used to their full potential or if there are features that remain unused, and reviewing how well tools integrate with one another and with our core systems, the data warehouse. Also, comparing the capabilities of each tool and results against industry standards and competitor practices and looking for missing functionalities such as personalization, omnichannel orchestration, or advanced analytics, and identifying overlapping tools that could be consolidated to save costs and streamline workflows. Finally, review the costs of the current tools against their impact on business outcomes and identify technologies that could reduce costs, increase efficiency, or deliver higher ROI through enhanced capabilities. Establish a regular review cycle for the Martech stack to ensure it evolves alongside the business and the technological landscape. 5. How do you evaluate whether a company’s tech stack can support innovative customer-focused campaigns, and what red flags should marketers look out for? I recommend taking a structured approach and first ensure there is seamless integration across all tools to support a unified customer view and data sharing across the different channels. Determine if the stack can handle increasing data volumes, larger audiences, and additional channels as the campaigns grow, and check if it supports dynamic content, behavior-based triggers, and advanced segmentation and can process and act on data in real time through emerging technologies like AI/ML predictive analytics to enable marketers to launch responsive and timely campaigns. Most importantly, we need to ensure that the stack offers robust reporting tools that provide actionable insights, allowing teams to track performance and optimize campaigns. Some of the red flags are: data silos where customer data is fragmented across platforms and not easily accessible or integrated, inability to process or respond to customer behavior in real time, a reliance on manual intervention for tasks like segmentation, data extraction, campaign deployment, and poor scalability. If the stack struggles with growing data volumes or expanding to new channels, it won’t support the company’s evolving needs. 6. What role do hyper-personalization and timely communication play in a successful customer engagement strategy? How do you ensure they’re built into the technology roadmap? Hyper-personalization and timely communication are essential components of a successful customer engagement strategy because they create meaningful, relevant, and impactful experiences that deepen the relationship with customers, enhance loyalty, and drive business outcomes. Hyper-personalization leverages data to deliver tailored content that resonates with each individual based on their preferences, behavior, or past interactions, and timely communication ensures these personalized interactions occur at the most relevant moments, which ultimately increases their impact. Customers are more likely to engage with messages that feel relevant and align with their needs, and real-time triggers such as cart abandonment or post-purchase upsells capitalize on moments when customers are most likely to convert. By embedding these capabilities into the roadmap through data integration, AI-driven insights, automation, and continuous optimization, we can deliver impactful, relevant, and timely experiences that foster deeper customer relationships and drive long-term success. 7. What’s your approach to breaking down the customer engagement technology roadmap into manageable phases? How do you prioritize the initiatives? To create a manageable roadmap, we need to divide it into distinct phases, starting with building the foundation by addressing data cleanup, system integrations, and establishing metrics, which lays the groundwork for success. Next, we can focus on early wins and quick impact by launching behavior-based campaigns, automating workflows, and improving personalization to drive immediate value. Then we can move to optimization and expansion, incorporating predictive analytics, cross-channel orchestration, and refined attribution models to enhance our capabilities. Finally, prioritize innovation and scalability, leveraging AI/ML for hyper-personalization, scaling campaigns to new markets, and ensuring the system is equipped for future growth. By starting with foundational projects, delivering quick wins, and building towards scalable innovation, we can drive measurable outcomes while maintaining our agility to adapt to evolving needs. In terms of prioritizing initiatives effectively, I would focus on projects that deliver the greatest impact on business goals, on customer experience and ROI, while we consider feasibility, urgency, and resource availability. In the past, I’ve used frameworks like Impact Effort Matrix to identify the high-impact, low-effort initiatives and ensure that the most critical projects are addressed first. 8. How do you ensure cross-functional alignment around this roadmap? What processes have worked best for you? Ensuring cross-functional alignment requires clear communication, collaborative planning, and shared accountability. We need to establish a shared understanding of the roadmap’s purpose and how it ties to the company’s overall goals by clearly articulating the “why” behind the roadmap and how each team can contribute to its success. To foster buy-in and ensure the roadmap reflects diverse perspectives and needs, we need to involve all stakeholders early on during the roadmap development and clearly outline each team’s role in executing the roadmap to ensure accountability across the different teams. To keep teams informed and aligned, we use meetings such as roadmap kickoff sessions and regular check-ins to share updates, address challenges collaboratively, and celebrate milestones together. 9. If you were to outline a simple framework for marketers to follow when building a customer engagement technology roadmap, what would it look like? A simple framework for marketers to follow when building the roadmap can be summarized in five clear steps: Plan, Audit, Prioritize, Execute, and Refine. In one word: PAPER. Here’s how it breaks down. Plan: We lay the groundwork for the roadmap by defining the CRM strategy and aligning it with the business goals. Audit: We evaluate the current state of our CRM capabilities. We conduct a comprehensive assessment of our tools, our data, the processes, and team workflows to identify any potential gaps. Prioritize: initiatives based on impact, feasibility, and ROI potential. Execute: by implementing the roadmap in manageable phases. Refine: by continuously improving CRM performance and refining the roadmap. So the PAPER framework — Plan, Audit, Prioritize, Execute, and Refine — provides a structured, iterative approach allowing marketers to create a scalable and impactful customer engagement strategy. 10. What are the most common challenges marketers face in creating or executing a customer engagement strategy, and how can they address these effectively? The most critical is when the customer data is siloed across different tools and platforms, making it very difficult to get a unified view of the customer. This limits the ability to deliver personalized and consistent experiences. The solution is to invest in tools that can centralize data from all touchpoints and ensure seamless integration between different platforms to create a single source of truth. Another challenge is the lack of clear metrics and ROI measurement and the inability to connect engagement efforts to tangible business outcomes, making it very hard to justify investment or optimize strategies. The solution for that is to define clear KPIs at the outset and use attribution models to link customer interactions to revenue and other key outcomes. Overcoming internal silos is another challenge where there is misalignment between teams, which can lead to inconsistent messaging and delayed execution. A solution to this is to foster cross-functional collaboration through shared goals, regular communication, and joint planning sessions. Besides these, other challenges marketers can face are delivering personalization at scale, keeping up with changing customer expectations, resource and budget constraints, resistance to change, and others. While creating and executing a customer engagement strategy can be challenging, these obstacles can be addressed through strategic planning, leveraging the right tools, fostering collaboration, and staying adaptable to customer needs and industry trends. By tackling these challenges proactively, marketers can deliver impactful customer-centric strategies that drive long-term success. 11. What are the top takeaways or lessons that you’ve learned from building customer engagement technology roadmaps that others should keep in mind? I would say one of the most important takeaways is to ensure that the roadmap directly supports the company’s broader objectives. Whether the focus is on retention, customer lifetime value, or revenue growth, the roadmap must bridge the gap between high-level business goals and actionable initiatives. Another important lesson: The roadmap is only as effective as the data and systems it’s built upon. I’ve learned the importance of prioritizing foundational elements like data cleanup, integrations, and governance before tackling advanced initiatives like personalization or predictive analytics. Skipping this step can lead to inefficiencies or missed opportunities later on. A Customer Engagement Roadmap is a strategic tool that evolves alongside the business and its customers. So by aligning with business goals, building a solid foundation, focusing on impact, fostering collaboration, and remaining adaptable, you can create a roadmap that delivers measurable results and meaningful customer experiences.     This interview Q&A was hosted with Mirela Cialai, Director of CRM & MarTech at Equinox, for Chapter 7 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Mirela Cialai Q&A: Customer Engagement Book Interview appeared first on MoEngage. #mirela #cialai #qampampa #customer #engagement

Rene Byrd did IVF to have her baby. Courtesy of Rene Byrd 2025-06-14T21:23:01Z d Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Rene Byrd is a 49-year-old singer-songwriter in London who had her first baby at 48. She had held on to hope for a baby throughout her 40s, undergoing IVF for over two years. Being an older mom has had several benefits, like financial security and contentment. This as-told-to essay is based on a conversation with Rene Byrd. It has been edited for length and clarity.When I turned 40, I went on a seven-day retreat full of meditation and massage to fall in love with myself. I'm a strong believer that to find love, you first have to love yourself.I had wanted to settle down with someone and build a family, but it just hadn't happened. Three years prior, I had frozen my eggs because I knew that I wanted a family someday.On the retreat, I felt deep in my spirit that I would one day find my person and hold my child in my hands. I wouldn't give up hope.I met someone at a barReturning home, I continued dating, but it wasn't until a chance meeting at a bar that I finally found the man who would become my husband. I hadn't quite turned 41, and he was 34.I remember not wanting to scare him off by talking too much about my desire for kids, but we did have discussions about the future. When love started to bloom between the two of us, we started looking at what our options were for having a child together.After trying holistic methods to no avail, we decided to go down the IVF route. I'd heard horror stories about IVF — that it was never straightforward — but as I already had my eggs frozen, it was the best option for us at the time.I felt guilty for waiting so longTwo-and-a-half long years later, I was given the news from the IVF clinic — I was pregnant. I fell apart, phoning my husband to tell him we would be having a baby. Rene Byrd got pregnant at age 48 thanks to IVF. Courtesy of Rene Byrd Throughout my pregnancy, I remember being scared of what this new life as a mother would look like. I had little panic attacks considering how different life would be, as compared to the decades of life without a child. And then I felt guilty, telling myself I had waited so long for this. There was a lot of grappling with these thoughts until I realized my child would just be an extension of me.Once our little boy, Crue, was born in November 2024, I felt ready for his arrival in theory. Having spent years hearing from friends with children, I had an idea of what to expect. Even still, those early days were a lot to deal with. All these things were being thrown at me about what I should and shouldn't do with a baby.Being a mom in my late 40s has so many beautiful benefitsI joined online mother and baby communities and in-person baby groups, finding my tribe of mothers like me, ones that were "older."There is a stillness within me that grounds me as I take care of Crue. I have this playbook of mothering, developed from years of research and observation, that has given me assurance that even when things don't seem to be going to plan — like breastfeeding or sleeping — I was OK, and so was he.Having built up financial security, I didn't worry about how I was going to provide for a baby. Established in a career, I could plan for all baby-related expenses, including IVF.And since I had gotten so much out of my system in my younger years — corporate working, parties, nice restaurants — I felt content to settle in at home with my baby and husband. I never feel like I'm missing out.The only concern I've heard quietly whispered in different circles is that of my health. I know that as I get older, little issues with my body could pop up — issues that I might not have had as a younger mother. This has forced me to look after my body more than I ever have so that I can fully enjoy time with Crue as he gets older.Becoming a mother had always been a dream of mine. I trusted the process, holding on to hope, and although delayed, my dream finally came true. #had #baby #through #ivf #being

Bungie’s Marathon is still coming out, and when it does, PlayStation plans on giving the extraction shooter a fair shot. During a recent investor interview, Sony Interactive Entertainment head Herman Hulst assured the game would come out before March 31, 2026, when Sony’s fiscal year ends. Touching on its recent alpha test, he descbied the feedback as “varied, but super useful.The constant testing, the constant re-validation of assumptions that we just talked about, to me is just so valuable to iterate and to constantly improve the title, so when launch comes, we’re going to give the title the optimal chance of success.” Hanging over PlayStation is 2024’s sci-fi shooter Concord, which shut down weeks after launch and later led to developer Firewalk Studios closing down. That’s been just one of several botched attempts from PlayStation’s attempts to enter live-service games, which includes several canceled projects and layoffs across its first-party studios. While acknowledging these “unique challenges” and attributing Concord’s failure to the “hypercompetitive market” of hero shooters, Hulst talked up how they’re avoiding the same mistakes with Marathon. “It’s going to be the first new Bungie title in over a decade, and it’s our goal to release a very bold, very innovative, and deeply engaging title. We’re monitoring the closed alpha cycle the team has just gone through. We’re taking all the lessons learned, we’re using the capabilities we’ve built and analytics and user testing to understand how audiences are engaging with the title.” One thing Hulst didn’t touch on, though, was the recent accusations of art plagiarism levvied against Bungie. In May, artist Fern “Antireal” Hook released evidence alleging the studio stole assets she made from previous work and failed to credit her. After investigating, Bungie attributed the theft to the work of a former employee, publicly apologized, and said it would do “everything we can to make this right” with Hook. It also promised to review all in-game assets and replace “questionably sourced” art with original, in-house work. With the mention of its arriving before the fiscal year ends, Marathon may be delayed out of its current September 23 launch. At time of writing, Bungie and PlayStation have kept mum on a potential delay, but the game failed to make an appearance at PlayStation’s recent State of Play in early June.Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who. #sony #still #putting #its #faith

Inside Apple’s high-gloss standoff with AI ambition and the uncanny choreography of WWDC 2025There was a time when watching an Apple keynote — like Steve Jobs introducing the iPhone in 2007, the masterclass of all masterclasses in product launching — felt like watching a tightrope act. There was suspense. Live demos happened — sometimes they failed, and when they didn’t, the applause was real, not piped through a Dolby mix.These days, that tension is gone. Since 2020, in the wake of the pandemic, Apple events have become pre-recorded masterworks: drone shots sweeping over Apple Park, transitions smoother than a Pixar short, and executives delivering their lines like odd, IRL spatial personas. They move like human renderings: poised, confident, and just robotic enough to raise a brow. The kind of people who, if encountered in real life, would probably light up half a dozen red flags before a handshake is even offered. A case in point: the official “Liquid Glass” UI demo — it’s visually stunning, yes, but also uncanny, like a concept reel that forgot it needed to ship. that’s the paradox. Not only has Apple trimmed down the content of WWDC, it’s also polished the delivery into something almost inhumanly controlled. Every keynote beat feels engineered to avoid risk, reduce friction, and glide past doubt. But in doing so, something vital slips away: the tension, the spontaneity, the sense that the future is being made, not just performed.Just one year earlier, WWDC 2024 opened with a cinematic cold open “somewhere over California”: Schiller piloting an Apple-branded plane, iPod in hand, muttering “I’m getting too old for this stuff.” A perfect mix of Lethal Weapon camp and a winking message that yes, Classic-Apple was still at the controls — literally — flying its senior leadership straight toward Cupertino. Out the hatch, like high-altitude paratroopers of optimism, leapt the entire exec team, with Craig Federighi, always the go-to for Apple’s auto-ironic set pieces, leading the charge, donning a helmet literally resembling his own legendary mane. It was peak-bold, bizarre, and unmistakably Apple. That intro now reads like the final act of full-throttle confidence.This year’s WWDC offered a particularly crisp contrast. Aside from the new intro — which features Craig Federighi drifting an F1-style race car across the inner rooftop ring of Apple Park as a “therapy session”, a not-so-subtle nod to the upcoming Formula 1 blockbuster but also to the accountability for the failure to deliver the system-wide AI on time — WWDC 2025 pulled back dramatically. The new “Apple Intelligence” was introduced in a keynote with zero stumbles, zero awkward transitions, and visuals so pristine they could have been rendered on a Vision Pro. Not only had the scope of WWDC been trimmed down to safer talking points, but even the tone had shifted — less like a tech summit, more like a handsomely lit containment-mode seminar. And that, perhaps, was the problem. The presentation wasn’t a reveal — it was a performance. And performances can be edited in post. Demos can’t.So when Apple in march 2025 quietly admitted, for the first time, in a formal press release addressed to reporters like John Gruber, that the personalized Siri and system-wide AI features would be delayed — the reaction wasn’t outrage. It was something subtler: disillusionment. Gruber’s response cracked the façade wide open. His post opened a slow but persistent wave of unease, rippling through developer Slack channels and private comment threads alike. John Gruber’s reaction, published under the headline “Something is rotten in the State of Cupertino”, was devastating. His critique opened the floodgates to a wave of murmurs and public unease among developers and insiders, many of whom had begun to question what was really happening at the helm of key divisions central to Apple’s future.Many still believe Apple is the only company truly capable of pulling off hardware-software integrated AI at scale. But there’s a sense that the company is now operating in damage-control mode. The delay didn’t just push back a feature — it disrupted the entire strategic arc of WWDC 2025. What could have been a milestone in system-level AI became a cautious sidestep, repackaged through visual polish and feature tweaks. The result: a presentation focused on UI refinements and safe bets, far removed from the sweeping revolution that had been teased as the main selling point for promoting the iPhone 16 launch, “Built for Apple Intelligence”.That tension surfaced during Joanna Stern’s recent live interview with Craig Federighi and Greg Joswiak. These are two of Apple’s most media-savvy execs, and yet, in a setting where questions weren’t scripted, you could see the seams. Their usual fluency gave way to something stiffer. More careful. Less certain. And even the absences speak volumes: for the first time in a decade, no one from Apple’s top team joined John Gruber’s Talk Show at WWDC. It wasn’t a scheduling fluke — nor a petty retaliation for Gruber’s damning March article. It was a retreat — one that Stratechery’s Ben Thompson described as exactly that: a strategic fallback, not a brave reset.Meanwhile, the keynote narrative quietly shifted from AI ambition to UI innovation: new visual effects, tighter integration, call screening. Credit here goes to Alan Dye — Apple VP of Human Interface Design and one of the last remaining members of Jony Ive’s inner circle not yet absorbed into LoveFrom — whose long-arc work on interface aesthetics, from the early stages of the Dynamic Island onward, is finally starting to click into place. This is classic Apple: refinement as substance, design as coherence. But it was meant to be the cherry on top of a much deeper AI-system transformation — not the whole sundae. All useful. All safe. And yet, the thing that Apple could uniquely deliver — a seamless, deeply integrated, user-controlled and privacy-safe Apple Intelligence — is now the thing it seems most reluctant to show.There is no doubt the groundwork has been laid. And to Apple’s credit, Jason Snell notes that the company is shifting gears, scaling ambitions to something that feels more tangible. But in scaling back the risk, something else has been scaled back too: the willingness to look your audience of stakeholders, developers and users live, in the eye, and show the future for how you have carefully crafted it and how you can put it in the market immediately, or in mere weeks. Showing things as they are, or as they will be very soon. Rehearsed, yes, but never faked.Even James Dyson’s live demo of a new vacuum showed more courage. No camera cuts. No soft lighting. Just a human being, showing a thing. It might have sucked, literally or figuratively. But it didn’t. And it stuck. That’s what feels missing in Cupertino.Some have started using the term glasslighting — a coined pun blending Apple’s signature glassy aesthetics with the soft manipulations of marketing, like a gentle fog of polished perfection that leaves expectations quietly disoriented. It’s not deception. It’s damage control. But that instinct, understandable as it is, doesn’t build momentum. It builds inertia. And inertia doesn’t sell intelligence. It only delays the reckoning.Before the curtain falls, it’s hard not to revisit the uncanny polish of Apple’s speakers presence. One might start to wonder whether Apple is really late on AI — or whether it’s simply developed such a hyper-advanced internal model that its leadership team has been replaced by real-time human avatars, flawlessly animated, fed directly by the Neural Engine. Not the constrained humanity of two floating eyes behind an Apple Vision headset, but full-on flawless embodiment — if this is Apple’s augmented AI at work, it may be the only undisclosed and underpromised demo actually shipping.OS30 live demoMeanwhile, just as Apple was soft-pedaling its A.I. story with maximum visual polish, a very different tone landed from across the bay: Sam Altman and Jony Ive, sitting in a bar, talking about the future. stage. No teleprompter. No uncanny valley. Just two “old friends”, with one hell of a budget, quietly sketching the next era of computing. A vision Apple once claimed effortlessly.There’s still the question of whether Apple, as many hope, can reclaim — and lock down — that leadership for itself. A healthy dose of competition, at the very least, can only help.Too big, fail too was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story. #too #big #fail