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8 Sage Green Color Palettes You’ve Got to Experience In this article:See more ▼Post may contain affiliate links which give us commissions at no cost to you.There’s something undeniably calming about sage green that makes it one of my absolute favorite colors to work with as a designer. This muted, earthy hue has this incredible ability to ground a space while still feeling fresh and contemporary. Whether you’re working on a branding project, designing an interior space, or creating digital content, sage green offers a versatility that few colors can match. What I love most about sage green is how it bridges the gap between trendy and timeless. It’s not going anywhere anytime soon, and honestly, I don’t think it ever should. This sophisticated color has been quietly revolutionizing design palettes across every industry, and today I’m excited to share eight of my favorite sage green color combinations that will elevate your next project. 👋 Psst... Did you know you can get unlimited downloads of 59,000+ fonts and millions of other creative assets for just $16.95/mo? Learn more »The 8 Most Inspiring Sage Green Color Palettes 1. Garden Fresh #D2E5C4 #B2C69E #95B07B #79955D #5A743C Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This monochromatic sage palette is pure perfection for anyone wanting to create depth without complexity. I use this combination constantly in botanical-themed projects because it captures every shade of green you’d find in a thriving garden. The progression from light to dark creates natural hierarchy, making it incredibly functional for both print and digital work. 2. Misty Morning #BDC9BB #ACBAA1 #B2C1A2 #A4B1A0 #ADC3B7 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper When I need something soft and ethereal, this is my go-to palette. These gentle sage tones remind me of early morning fog rolling over hills. It’s perfect for wellness brands, spa environments, or any project that needs to evoke tranquility and peace. The subtle variations create interest without ever feeling overwhelming. 3. Harvest Moon #9AAB89 #647056 #D6C388 #F8C565 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Get 300+ Fonts for FREEEnter your email to download our 100% free "Font Lover's Bundle". For commercial & personal use. No royalties. No fees. No attribution. 100% free to use anywhere. The combination of sage green with warm golds creates magic every single time. This palette captures that perfect autumn moment when the light hits everything just right. I love using this for brands that want to feel both grounded and optimistic – it’s earthy sophistication with a sunny disposition. 4. Moody Botanical #4D5D42 #6A894B #8DA67E #9B999A #C6B5DF Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper For projects that need a bit more drama, this palette delivers beautifully. The deeper sage tones paired with that unexpected lavender create intrigue without losing the calming essence of green. I find this combination works wonderfully for upscale restaurants or luxury lifestyle brands that want to feel approachable yet refined. 5. Countryside Charm #A3AC9A #8A9A5B #93A395 #748B74 #827D67 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This palette feels like a walk through the English countryside – all rolling hills and weathered stone walls. The mix of sage greens with those earthy undertones creates incredible depth. I use this combination for projects that need to feel established and trustworthy, like financial services or heritage brands. 6. Industrial Farmhouse Zen #CED3D2 #3F5054 #6F675E #9CAB86 #C8CAB5 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper The marriage of sage green with industrial grays might seem unexpected, but it creates this incredibly sophisticated modern aesthetic. This palette is perfect for tech companies or architectural firms that want to feel innovative yet grounded. The sage adds warmth to what could otherwise be cold, sterile colors. 7. Desert Sage #9AAB89 #B2AC88 #A06464 #8C909C #C9AD99 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Inspired by the American Southwest, this palette combines sage with dusty terra cottas and warm beiges. There’s something so comforting about these colors together – they feel like sunset in the desert. I love using this for hospitality brands or any project that wants to evoke adventure and warmth. 8. Forest Floor #B2C69E #ACB6A6 #5B7553 #745000 #462800 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This rich, earthy combination takes sage green into deeper territory with those gorgeous chocolate browns. It reminds me of walking through an old-growth forest where the light filters through layers of leaves. Perfect for organic brands, outdoor companies, or any project that wants to feel authentic and connected to nature. Why Sage Green Is Having Its Moment As someone who’s been watching color trends for years, I can tell you that sage green’s popularity isn’t just a passing fad. This color speaks to our collective desire for calm in an increasingly chaotic world. It’s the visual equivalent of taking a deep breath – immediately soothing and centering. The rise of biophilic design has also played a huge role in sage green’s dominance. As we spend more time indoors, we’re craving those connections to nature, and sage green delivers that botanical feeling without being overly literal. It’s nature-inspired design at its most sophisticated. What makes sage green particularly special is its incredible adaptability. Unlike brighter greens that can feel overwhelming or dated, sage green has this chameleon-like quality that allows it to work in virtually any context. Pair it with warm woods and it feels rustic; combine it with metallics and it becomes luxurious; add some crisp whites and suddenly it’s Scandinavian minimalism. Mastering Sage Green in Your Design Work The key to working with sage green successfully is understanding its undertones. Some sage greens lean more yellow, others more blue or gray. Recognizing these subtle differences will help you create more cohesive palettes and avoid color clashes that can make your work feel off. I always recommend testing your sage green palettes in different lighting conditions. What looks perfect on your computer screen might feel completely different in natural light or under warm artificial lighting. This is especially crucial for interior design projects or any work that will be viewed in physical spaces. When building palettes around sage green, I like to think about the mood I’m trying to create. For calm, peaceful vibes, I’ll pair it with other muted tones and plenty of white space. For something more energetic, I might add unexpected pops of coral or sunny yellow. The beauty of sage green is that it’s such a diplomatic color – it plays well with almost everything. Sage Green Across Different Design Applications Branding and Logo Design In branding work, sage green communicates reliability, growth, and environmental consciousness without hitting people over the head with it. I love using it for wellness companies, sustainable brands, and professional services that want to feel approachable. The key is pairing it with typography that reinforces your brand personality – clean sans serifs for modern feels, or elegant serifs for more traditional approaches. Interior Spaces Sage green walls have become incredibly popular, and for good reason. The color creates an instant sense of calm while still feeling current. I particularly love using darker sage greens in dining rooms or bedrooms where you want that cozy, enveloping feeling. Lighter sages work beautifully in kitchens and bathrooms where you want freshness without the sterility of pure white. Digital Design For websites and apps, sage green offers a refreshing alternative to the blues and grays that dominate digital design. It’s easy on the eyes, which makes it perfect for apps focused on wellness, meditation, or any platform where users will spend extended time. Just be mindful of accessibility – always test your sage green backgrounds with various text colors to ensure proper contrast ratios. Product Design The natural, organic feeling of sage green makes it perfect for product packaging, especially in the beauty, food, and wellness sectors. It communicates quality and naturalness without feeling overly earthy or crunchy. I’ve seen it work beautifully on everything from skincare packaging to high-end kitchen appliances. The Psychology Behind Sage Green’s Appeal Color psychology tells us that green represents growth, harmony, and balance – all things we desperately need in our modern lives. But sage green takes these positive associations and adds sophistication. It’s green without the intensity, nature without the rawness. There’s also something inherently honest about sage green. It doesn’t try too hard or demand attention the way brighter colors do. This authenticity resonates with consumers who are increasingly skeptical of brands that feel forced or overly polished. Sage green whispers where other colors shout, and sometimes that’s exactly what your message needs. Looking Forward: Sage Green’s Staying Power While I can’t predict the future, I’m confident that sage green will remain relevant for years to come. It hits all the right notes for contemporary design – it’s calming without being boring, natural without being literal, and sophisticated without being pretentious. The color also photographs beautifully, which matters more than ever in our Instagram-driven world. Whether it’s a sage green accent wall or a product shot featuring sage packaging, this color translates perfectly to social media, helping brands create that coveted “aesthetic” that drives engagement. As we continue to prioritize wellness and sustainability in design, sage green offers the perfect visual shorthand for these values. It’s a color that makes people feel good, and in a world that often doesn’t, that’s incredibly powerful. Bringing It All Together These eight sage green palettes represent just the beginning of what’s possible with this incredible color. Whether you’re drawn to the monochromatic serenity of Garden Fresh or the unexpected sophistication of Industrial Zen, there’s a sage green palette that can elevate your next project. The secret to success with sage green is trusting its natural elegance. Don’t feel like you need to overstyling or complicate things – sage green’s beauty lies in its understated sophistication. Let it be the calm, confident foundation that allows other elements of your design to shine. So go ahead and embrace the sage green revolution. Your designs (and your stress levels) will thank you for it. After all, in a world full of visual noise, sometimes the most powerful statement you can make is a quiet one. Riley Morgan Riley Morgan is a globe-trotting graphic designer with a sharp eye for color, typography, and intuitive design. They are a color lover and blend creativity with culture, drawing inspiration from cities, landscapes, and stories around the world. When they’re not designing sleek visuals for clients, they’re blogging about trends, tools, and the art of making design feel like home—wherever that may be. 8 Stunning Sunset Color PalettesThere’s something absolutely magical about watching the sun dip below the horizon, painting the sky in breathtaking hues that seem...10 Warm Color Palettes That’ll Brighten Your DayThere’s nothing quite like the embracing quality of warm colors to make a design feel inviting and alive. As someone...10 Luxurious Jewel Tone Color PalettesAs a designer who’s always searching for color combinations that exude sophistication and richness, I find myself constantly returning to...

AI researchers have recently been asking themselves a version of the question, “Is that really Zuck?”As first reported by Bloomberg, the Meta CEO has been personally asking top AI talent to join his new “superintelligence” AI lab and reboot Llama. His recruiting process typically goes like this: a cold outreach via email or WhatsApp that cites the recruit’s work history and requests a 15-minute chat. Dozens of researchers have gotten these kinds of messages at Google alone. For those who do agree to hear his pitch (amazingly, not all of them do), Zuckerberg highlights the latitude they’ll have to make risky bets, the scale of Meta’s products, and the money he’s prepared to invest in the infrastructure to support them. He makes clear that this new team will be empowered and sit with him at Meta’s headquarters, where I’m told the desks have already been rearranged for the incoming team.Most of the headlines so far have focused on the eye-popping compensation packages Zuckerberg is offering, some of which are well into the eight-figure range. As I’ve covered before, hiring the best AI researcher is like hiring a star basketball player: there are very few of them, and you have to pay up. Case in point: Zuckerberg basically just paid 14 Instagrams to hire away Scale AI CEO Alexandr Wang. It’s easily the most expensive hire of all time, dwarfing the billions that Google spent to rehire Noam Shazeer and his core team from Character.AI (a deal Zuckerberg passed on). “Opportunities of this magnitude often come at a cost,” Wang wrote in his note to employees this week. “In this instance, that cost is my departure.”Zuckerberg’s recruiting spree is already starting to rattle his competitors. The day before his offer deadline for some senior OpenAI employees, Sam Altman dropped an essay proclaiming that “before anything else, we are a superintelligence research company.” And after Zuckerberg tried to hire DeepMind CTO Koray Kavukcuoglu, he was given a larger SVP title and now reports directly to Google CEO Sundar Pichai. I expect Wang to have the title of “chief AI officer” at Meta when the new lab is announced. Jack Rae, a principal researcher from DeepMind who has signed on, will lead pre-training. Meta certainly needs a reset. According to my sources, Llama has fallen so far behind that Meta’s product teams have recently discussed using AI models from other companies (although that is highly unlikely to happen). Meta’s internal coding tool for engineers, however, is already using Claude. While Meta’s existing AI researchers have good reason to be looking over their shoulders, Zuckerberg’s $14.3 billion investment in Scale is making many longtime employees, or Scaliens, quite wealthy. They were popping champagne in the office this morning. Then, Wang held his last all-hands meeting to say goodbye and cried. He didn’t mention what he would be doing at Meta. I expect his new team will be unveiled within the next few weeks after Zuckerberg gets a critical number of members to officially sign on. Tim Cook. Getty Images / The VergeApple’s AI problemApple is accustomed to being on top of the tech industry, and for good reason: the company has enjoyed a nearly unrivaled run of dominance. After spending time at Apple HQ this week for WWDC, I’m not sure that its leaders appreciate the meteorite that is heading their way. The hubris they display suggests they don’t understand how AI is fundamentally changing how people use and build software.Heading into the keynote on Monday, everyone knew not to expect the revamped Siri that had been promised the previous year. Apple, to its credit, acknowledged that it dropped the ball there, and it sounds like a large language model rebuild of Siri is very much underway and coming in 2026.The AI industry moves much faster than Apple’s release schedule, though. By the time Siri is perhaps good enough to keep pace, it will have to contend with the lock-in that OpenAI and others are building through their memory features. Apple and OpenAI are currently partners, but both companies want to ultimately control the interface for interacting with AI, which puts them on a collision course. Apple’s decision to let developers use its own, on-device foundational models for free in their apps sounds strategically smart, but unfortunately, the models look far from leading. Apple ran its own benchmarks, which aren’t impressive, and has confirmed a measly context window of 4,096 tokens. It’s also saying that the models will be updated alongside its operating systems — a snail’s pace compared to how quickly AI companies move. I’d be surprised if any serious developers use these Apple models, although I can see them being helpful to indie devs who are just getting started and don’t want to spend on the leading cloud models. I don’t think most people care about the privacy angle that Apple is claiming as a differentiator; they are already sharing their darkest secrets with ChatGPT and other assistants. Some of the new Apple Intelligence features I demoed this week were impressive, such as live language translation for calls. Mostly, I came away with the impression that the company is heavily leaning on its ChatGPT partnership as a stopgap until Apple Intelligence and Siri are both where they need to be. AI probably isn’t a near-term risk to Apple’s business. No one has shipped anything close to the contextually aware Siri that was demoed at last year’s WWDC. People will continue to buy Apple hardware for a long time, even after Sam Altman and Jony Ive announce their first AI device for ChatGPT next year. AR glasses aren’t going mainstream anytime soon either, although we can expect to see more eyewear from Meta, Google, and Snap over the coming year. In aggregate, these AI-powered devices could begin to siphon away engagement from the iPhone, but I don’t see people fully replacing their smartphones for a long time. The bigger question after this week is whether Apple has what it takes to rise to the occasion and culturally reset itself for the AI era. I would have loved to hear Tim Cook address this issue directly, but the only interview he did for WWDC was a cover story in Variety about the company’s new F1 movie.ElsewhereAI agents are coming. I recently caught up with Databricks CEO Ali Ghodsi ahead of his company’s annual developer conference this week in San Francisco. Given Databricks’ position, he has a unique, bird’s-eye view of where things are headed for AI. He doesn’t envision a near-term future where AI agents completely automate real-world tasks, but he does predict a wave of startups over the next year that will come close to completing actions in areas such as travel booking. He thinks humans will need (and want) to approve what an agent does before it goes off and completes a task. “We have most of the airplanes flying automated, and we still want pilots in there.”Buyouts are the new normal at Google. That much is clear after this week’s rollout of the “voluntary exit program” in core engineering, the Search organization, and some other divisions. In his internal memo, Search SVP Nick Fox was clear that management thinks buyouts have been successful in other parts of the company that have tried them. In a separate memo I saw, engineering exec Jen Fitzpatrick called the buyouts an “opportunity to create internal mobility and fresh growth opportunities.” Google appears to be attempting a cultural reset, which will be a challenging task for a company of its size. We’ll see if it can pull it off. Evan Spiegel wants help with AR glasses. I doubt that his announcement that consumer glasses are coming next year was solely aimed at AR developers. Telegraphing the plan and announcing that Snap has spent $3 billion on hardware to date feels more aimed at potential partners that want to make a bigger glasses play, such as Google. A strategic investment could help insulate Snap from the pain of the stock market. A full acquisition may not be off the table, either. When he was recently asked if he’d be open to a sale, Spiegel didn’t shut it down like he always has, but instead said he’d “consider anything” that helps the company “create the next computing platform.”Link listMore to click on:If you haven’t already, don’t forget to subscribe to The Verge, which includes unlimited access to Command Line and all of our reporting.As always, I welcome your feedback, especially if you’re an AI researcher fielding a juicy job offer. You can respond here or ping me securely on Signal.Thanks for subscribing.See More:

Germany and NVIDIA are building possibly the most ambitious European tech project of the decade: the continent’s first industrial AI cloud.NVIDIA has been on a European tour over the past month with CEO Jensen Huang charming audiences at London Tech Week before dazzling the crowds at Paris’s VivaTech. But it was his meeting with German Chancellor Friedrich Merz that might prove the most consequential stop.The resulting partnership between NVIDIA and Deutsche Telekom isn’t just another corporate handshake; it’s potentially a turning point for European technological sovereignty.An “AI factory” (as they’re calling it) will be created with a focus on manufacturing, which is hardly surprising given Germany’s renowned industrial heritage. The facility aims to give European industrial players the computational firepower to revolutionise everything from design to robotics.“In the era of AI, every manufacturer needs two factories: one for making things, and one for creating the intelligence that powers them,” said Huang. “By building Europe’s first industrial AI infrastructure, we’re enabling the region’s leading industrial companies to advance simulation-first, AI-driven manufacturing.”It’s rare to hear such urgency from a telecoms CEO, but Deutsche Telekom’s Timotheus Höttges added: “Europe’s technological future needs a sprint, not a stroll. We must seize the opportunities of artificial intelligence now, revolutionise our industry, and secure a leading position in the global technology competition. Our economic success depends on quick decisions and collaborative innovations.”The first phase alone will deploy 10,000 NVIDIA Blackwell GPUs spread across various high-performance systems. That makes this Germany’s largest AI deployment ever; a statement the country isn’t content to watch from the sidelines as AI transforms global industry.A Deloitte study recently highlighted the critical importance of AI technology development to Germany’s future competitiveness, particularly noting the need for expanded data centre capacity. When you consider that demand is expected to triple within just five years, this investment seems less like ambition and more like necessity.Robots teaching robotsOne of the early adopters is NEURA Robotics, a German firm that specialises in cognitive robotics. They’re using this computational muscle to power something called the Neuraverse which is essentially a connected network where robots can learn from each other.Think of it as a robotic hive mind for skills ranging from precision welding to household ironing, with each machine contributing its learnings to a collective intelligence.“Physical AI is the electricity of the future—it will power every machine on the planet,” said David Reger, Founder and CEO of NEURA Robotics. “Through this initiative, we’re helping build the sovereign infrastructure Europe needs to lead in intelligent robotics and stay in control of its future.”The implications of this AI project for manufacturing in Germany could be profound. This isn’t just about making existing factories slightly more efficient; it’s about reimagining what manufacturing can be in an age of intelligent machines.AI for more than just Germany’s industrial titansWhat’s particularly promising about this project is its potential reach beyond Germany’s industrial titans. The famed Mittelstand – the network of specialised small and medium-sized businesses that forms the backbone of the German economy – stands to benefit.These companies often lack the resources to build their own AI infrastructure but possess the specialised knowledge that makes them perfect candidates for AI-enhanced innovation. Democratising access to cutting-edge AI could help preserve their competitive edge in a challenging global market.Academic and research institutions will also gain access, potentially accelerating innovation across numerous fields. The approximately 900 Germany-based startups in NVIDIA’s Inception program will be eligible to use these resources, potentially unleashing a wave of entrepreneurial AI applications.However impressive this massive project is, it’s viewed merely as a stepping stone towards something even more ambitious: Europe’s AI gigafactory. This planned 100,000 GPU-powered initiative backed by the EU and Germany won’t come online until 2027, but it represents Europe’s determination to carve out its own technological future.As other European telecom providers follow suit with their own AI infrastructure projects, we may be witnessing the beginning of a concerted effort to establish technological sovereignty across the continent.For a region that has often found itself caught between American tech dominance and Chinese ambitions, building indigenous AI capability represents more than economic opportunity. Whether this bold project in Germany will succeed remains to be seen, but one thing is clear: Europe is no longer content to be a passive consumer of AI technology developed elsewhere.(Photo by Maheshkumar Painam)Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Artificial intelligence is already rewriting the rules of wireless and telecom — powering predictive maintenance, streamlining network operations, and enabling more innovative services. As AI scales, the disruption will be faster, deeper, and harder to reverse than any prior shift in the industry. Compared to the sweeping changes AI is set to unleash, past telecom innovations look incremental. AI is redefining how networks operate, services are delivered, and data is secured — across every device and digital touchpoint. AI Is Reshaping Wireless Networks Already Artificial intelligence is already transforming wireless through smarter private networks, fixed wireless access (FWA), and intelligent automation across the stack. AI detects and resolves network issues before they impact service, improving uptime and customer satisfaction. It’s also opening the door to entirely new revenue streams and business models. Each wireless generation brought new capabilities. AI, however, marks a more profound shift — networks that think, respond, and evolve in real time. AI Acceleration Will Outpace Past Tech Shifts Many may underestimate the speed and magnitude of AI-driven change. The shift from traditional voice and data systems to AI-driven network intelligence is already underway. Although predictions abound, the true scope remains unclear. It’s tempting to assume we understand AI’s trajectory, but history suggests otherwise. Today, AI is already automating maintenance and optimizing performance without user disruption. The technologies we’ll rely on in the near future may still be on the drawing board. Few predicted that smartphones would emerge from analog beginnings—a reminder of how quickly foundational technologies can be reimagined. History shows that disruptive technologies rarely follow predictable paths — and AI is no exception. It’s already upending business models across industries. Technological shifts bring both new opportunities and complex trade-offs. AI Disruption Will Move Faster Than Ever The same cycle of reinvention is happening now — but with AI, it’s moving at unprecedented speed. Despite all the discussion, many still treat AI as a future concern — yet the shift is already well underway. As with every major technological leap, there will be gains and losses. The AI transition brings clear trade-offs: efficiency and innovation on one side, job displacement, and privacy erosion on the other. Unlike past tech waves that unfolded over decades, the AI shift will reshape industries in just a few years — and that change wave will only continue to move forward. AI Will Reshape All Sectors and Companies This shift will unfold faster than most organizations or individuals are prepared to handle. Today’s industries will likely look very different tomorrow. Entirely new sectors will emerge as legacy models become obsolete — redefining market leadership across industries. Telecom’s past holds a clear warning: market dominance can vanish quickly when companies ignore disruption. Eventually, the Baby Bells moved into long-distance service, while AT&T remained barred from selling local access — undermining its advantage. As the market shifted and competitors gained ground, AT&T lost its dominance and became vulnerable enough that SBC, a former regional Bell, acquired it and took on its name. It’s a case study of how incumbents fall when they fail to adapt — precisely the kind of pressure AI is now exerting across industries. SBC’s acquisition of AT&T flipped the power dynamic — proof that size doesn’t protect against disruption. The once-crowded telecom field has consolidated into just a few dominant players — each facing new threats from AI-native challengers. Legacy telecom models are being steadily displaced by faster, more flexible wireless, broadband, and streaming alternatives. No Industry Is Immune From AI Disruption AI will accelerate the next wave of industrial evolution — bringing innovations and consequences we’re only beginning to grasp. New winners will emerge as past leaders struggle to hang on — a shift that will also reshape the investment landscape. Startups leveraging AI will likely redefine leadership in sectors where incumbents have grown complacent. Nvidia’s rise is part of a broader trend: the next market leaders will emerge wherever AI creates a clear competitive advantage — whether in chips, code, or entirely new markets. The AI-driven future is arriving faster than most organizations are ready for. Adapting to this accelerating wave of change is no longer optional — it’s essential. Companies that act decisively today will define the winners of tomorrow.

Activision has included movie assassin Ballerina in the latest multiplayer version of Black Ops 6 and here they are exclusively offering Daily Star readers their top tips to become a gun heroTech17:04, 13 Jun 2025Ballerina in Call of DutyJohn Wick movie Ballerina has take over Call of Duty and the bods behind the game have given us some top tips on how to become the shooter king.The movie follows actress Ana de Armas as protagonist badass assassin Eve Macarro as she takes on all kinds of baddies alongside Keanu Reeve’s anti-hero John Wick.‌And to celebrate the silver screen success, Activision has included Eve, aka Ballerina, into Black Ops 6 as a playable online character cmplete with her own guns, finishing move and load screen as a downloadable add-on.‌But how can you, like Ana herself, become the star of mass destruction in the PS5 and Xbox game?The makers of Call of Duty have offered Daily Star readers these exclusive tips for online multiplayer mayhem in the game…Fire your guns as Ana de Armas(Image: Activision)Article continues belowEmbrace the Ruska Rogue : Don the "Ruska Rogue" Operator Skin for a sleek, black tactical look that screams stealth and deadly efficiency. Blend into the shadows and strike with calculated precision. You can adopt a minimalist, all-black approach to your loadout and Operator selection, channeling Wick's understated lethality. Remember, sometimes the most dangerous players are the ones you barely notice.Know Your Armoury : Equip the "Relevé" AK-74, "Plié" Saug, or "Arabesque" 9MM PM, all featuring High Table Coin Tracers and Death FX. Not only will you look good, but you'll also send a message: your enemies are just currency in your quest for victory . Aim for headshots to maximise your impact and conserve ammo. Use the AK-74 for mid-range engagements, the Saug for close-quarters dominance, and the 9MM PM as a reliable sidearm.‌Dance With Death, Literally (and Tactically Reload) : Master the "Dance With Death" Finishing Move. Nothing is more demoralising than eliminating an opponent with a graceful, yet brutal, execution. Use it strategically when you're sure you're safe from interruption. However, don't get caught up in the theatrics . Like Macarro, seek tactical reloads after every engagement, ensuring you're always ready for the next threat.Black Ops 6 has a fantastic multiplayer suite‌Pirouette to Victory : Utilise the "Pirouette" Emote to taunt your fallen foes (sparingly, of course!). A well-timed pirouette can tilt the mental game in your favour, especially after a clutch play. But remember, survival is paramount . Know when to disengage and reposition, just like Ballerina. A tactical retreat can be just as effective as a head-on assault.Article continues belowCharm Your Way to the Top : Equip the "Keepsake" Weapon Charm as a reminder of your mission and to add a touch of personal flair to your weapon. Small details can make a big difference in your gameplay and standing in the lobby. Furthermore, master your weapon . An assassin knows the ins and outs of every firearm he or she uses. Practice with different weapons to find what suits your play style and become proficient with it.Know Your Role (and Your Surroundings) : Just like a ballerina needs to know their choreography, understand your role on the team. Are you the aggressive fragger, the objective player, or the support specialist? Tailor your loadout and play style to maximise your contribution to the team's success. Remember, even the most elegant ballerina needs a solid foundation. Use cover, listen for footsteps, and anticipate enemy movements. Situational awareness is key to survival.

In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.   The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west.  Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa (UNECA). This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism.  Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area (AfCFTA), established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway (TAH) 4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent.  Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent.  ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’ However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970.  Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction.  The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell Credit: Fox Photos / Getty The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire Credit: Library of Congress, Geography and Map Division This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated.  These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism.  Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship.  Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968 Credit: Associated Press / Alamy The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’.  But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise. 2025-06-13 Kristina Rapacki Share

Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Behind the term “paper architecture” hides a strange paradox: the radical act of building without, well, building. Paper architecture is usually associated with speculative design projects, presented in the form of drawings, which can also be considered art pieces. However, even though it is often dismissed as a mere utopian or academic exercise, paper architecture has historically served as a powerful form of protest, advocating against political regimes, architectural orthodoxy or cultural stagnation. Unbound by real-world limitations such as materials, regulations and budgets, paper architects are free to focus on the messages behind their designs rather than constantly striving for their implementation. In parallel, due to its subtleness, paper architecture has become a platform that enables radical commentary via a rather “safe” medium. Instead of relying on more traditional forms of protest (such as strikes or marches) this powerful visual language, combined with scrupulous aesthetics and imagination can start a more formidable “behind-the-scenes rebellion”. Unearthing Nostalgia by Bruno Xavier & Michelle Ashley Ovanessians, A+ Vision Awards, 2023 Perhaps the most well-known paper architects, Archigram was a radical British collective that was formed in the 1960s in London. Their work Walking City or Plug-In City showcased visions of a playful, technologically driven architecture that deeply contrasted and, by extent, protested against the rigid regime of post-war modernism and its extensive bureaucracy. This pop-art-style architecture served as a powerful critique towards the saturated idea of functional monotony. Additionally, the Russian architect, artist, and curator, Yuri Avvakumuv introduced the term “paper architecture” within the restrictive cultural and political climate of late Soviet Russia (1984). Having to deal with heavy censorship, Avvakumuv turned to competitions and speculative drawings in an attempt resist that dominance of totalitarian architecture. Poetic, deeply allegorical and oftentimes ironic architectural renderings, critiqued the bureaucratic sterility of Soviet planning and the state-mandated architectural principles architects had to follow. Consequently, this profound demonstration of un-built architecture within the specific setting, turned into a collective cultural wave that advocated artistic autonomy and expression for the built environment. Klothos’ Loom of Memories by Ioana Alexandra Enache, A+ Vision Awards, 2023 The Amerian architect Lebbeus Woods was also one of the most intellectually intense practitioners of paper architecture, whose work touches upon global issues on war zones and urban trauma. His imaginative, post-apocalyptic cities opened up discussions for rebuilding after destruction. Works such as War and Architecture and Underground Berlin, albeit “dystopic”, acted as moral propositions, exploring potential reconstructions that would “heal” these cities. Through his drawings, he rigorously investigated and examined scenarios of ethical rebuilding, refusing to comply to the principles of popular commerce, and instead creating a new architectural practice of political resistance. Finally, operating within a very male-dominated world, Zaha Hadid’s earlier work — particularly on Malevich — served as a protesting tool on multiple levels. Influenced by Suprematist aesthetics, her bold, dynamic compositions stood against the formal conservatism of architectural ideas, where the design must always yield to gravity and function. In parallel, her considerable influence and dominance on the field challenged long-standing norms and served as a powerful counter-narrative against the gender biases that sidelined women in design. Ultimately, her images – part blueprints, part paintings – not only proved that architecture could be unapologetically visionary and abstract but also that materializing it is not as impossible as one would think. (Your) My Bedroom by Daniel Wing-Hou Ho, A+ Vision Awards, 2023 Even though paper architecture began as a medium of rebellion against architectural convention in the mid-20th century, it remains, until today, a vital tool for activism and social justice. Operating in the digital age, social media and digital platforms have amplified its reach, also having given it different visual forms such as digital collages, speculative renders, gifs, reels and interactive visual narratives. What was once a flyer, a journal or a newspaper extract, can now be found in open-source repositories, standing against authoritarianism, climate inaction, political violence and systemic inequality. Groups such as Forensic Architecture (Goldsmiths, University of London)  carry out multidisciplinary research, investigating cases of state violence and violations of human rights through rigorous mapping and speculative visualization. Additionally, competitions such as the eVolo Skyscraper or platforms like ArchOutLoud and Design Earth offer opportunities and space for architects to tackle environmental concerns and dramatize the urgency of inaction. Imaginative floating habitats, food cities, biodegradable megastructures etc. instigate debates and conversations through the form of environmental storytelling. The Stamper Battery by By William du Toit, A+ Vision Awards, 2023 Despite being often condemned as “unbuildable”, “impractical” or even “escapist,” paper architecture acts as a counterweight to the discipline’s increasing instrumentalization as merely a functional or commercial enterprise. In architecture schools it is used as a prompt for “thinking differently” and a tool for “critiquing without compromise”. Above all however, paper architecture matters because it keeps architecture ethically alive. It reminds architects to ask the uncomfortable questions: how should we design for environmental sustainability, migrancy or social equality, instead of focusing on profit, convenience and spectacle? Similar to a moral compass or speculative mirror, unbuilt visions can trigger political, social and environmental turns that reshape not just how we build, but why we build at all. Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Featured Image: Into the Void: Fragmented Time, Space, Memory, and Decay in Hiroshima by Victoria Wong, A+ Vision Awards 2023 The post Paper Architecture: From Soviet Subversion to Zaha’s Suprematism appeared first on Journal.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere $6 million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent $500 million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just $5.6 million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate (even though it makes a good story). Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of experts (MoE) architectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending $7 to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending $7 billion or $8 billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive $40 billion funding round that valued the company at an unprecedented $300 billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute” (TTC). As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning” (SPCT). This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM” (generalist reward modeling). But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of others (think OpenAI’s “critique and revise” methods, Anthropic’s constitutional AI or research on self-rewarding agents) to create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately $80 billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. 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