Disparu il y a plus d'un siècle, la lettre Ꝃ "k barré", prononcé ker, continue pourtant de fasciner et se bat pour exister, même hors de Bretagne. L’article Le Ꝃ barré : la lettre interdite de Bretagne est apparu en premier sur Graphéine - Agence de

Image by Andrew BrodheadResearchers have developed a novel device that literally spins away the clots that block blood flow to the brain and cause strokes.As Stanford explains in a blurb, the novel milli-spinner device may be able to save the lives of patients who experience "ischemic stroke" from brain stem clotting.Traditional clot removal, a process known as thrombectomy, generally uses a catheter that either vacuums up the blood blockage or uses a wire mesh to ensnare it — a procedure that's as rough and imprecise as it sounds. Conventional thrombectomy has a very low efficacy rate because of this imprecision, and the procedure can result in pieces of the clot breaking off and moving to more difficult-to-reach regions.Thrombectomy via milli-spinner also enters the brain with a catheter, but instead of using a normal vacuum device, it employs a spinning tube outfitted with fins and slits that can suck up the clot much more meticulously.Stanford neuroimaging expert Jeremy Heit, who also coauthored a new paper about the device in the journal Nature, explained in the school's press release that the efficacy of the milli-spinner is "unbelievable.""For most cases, we’re more than doubling the efficacy of current technology, and for the toughest clots — which we’re only removing about 11 percent of the time with current devices — we’re getting the artery open on the first try 90 percent of the time," Heit said. "This is a sea-change technology that will drastically improve our ability to help people."Renee Zhao, the senior author of the Nature paper who teaches mechanical engineering at Stanford and creates what she calls "millirobots," said that conventional thrombectomies just aren't cutting it."With existing technology, there’s no way to reduce the size of the clot," Zhao said. "They rely on deforming and rupturing the clot to remove it.""What’s unique about the milli-spinner is that it applies compression and shear forces to shrink the entire clot," she continued, "dramatically reducing the volume without causing rupture."Indeed, as the team discovered, the device can cut and vacuum up to five percent of its original size."It works so well, for a wide range of clot compositions and sizes," Zhao said. "Even for tough... clots, which are impossible to treat with current technologies, our milli-spinner can treat them using this simple yet powerful mechanics concept to densify the fibrin network and shrink the clot."Though its main experimental use case is brain clot removal, Zhao is excited about its other uses, too."We’re exploring other biomedical applications for the milli-spinner design, and even possibilities beyond medicine," the engineer said. "There are some very exciting opportunities ahead."More on brains: The Microplastics in Your Brain May Be Causing Mental Health IssuesShare This Article

Barbara Betlejewska is a PR consultant and manager with extensive experience in architecture and real estate, currently involved with World Visualization Festival, a global event bringing together CGI and digital storytelling professionals for 3 days of presentations, workshops, and networking in Warsaw, Poland, this October. Over the last twenty years, visualization and 3D rendering have evolved from supporting tools to become central pillars of architectural storytelling, design development, and marketing across various industries. As digital technologies have advanced, the landscape of creative work has changed dramatically. Artists can now collaborate with clients worldwide without leaving their homes, and their careers can flourish without ever setting foot in a traditional studio. In this hyper-connected world, where access to knowledge, clients, and inspiration is just a click away, do we still need to gather in person? Do conferences, festivals and meetups in the CGI and architectural visualization world still carry weight? The People Behind the Pixels Professionals from the visualization industry exchanging ideas at WVF 2024. For a growing number of professionals — especially those in creative and tech-driven fields — remote work has become the norm. The shift to digital workflows, accelerated by the pandemic, has brought freedom and flexibility that many are reluctant to give up. It’s easier than ever to work for clients in distant cities or countries, to build a freelance career from a laptop, or to pursue the lifestyle of a digital nomad. On the surface, it is a broadening of horizons. But for many, the freedom of remote work comes with a cost: isolation. For visualization artists, the reality often means spending long hours alone, rarely interacting face-to-face with peers or collaborators. And while there are undeniable advantages to independent work, the lack of human connection can lead to creative stagnation, professional burnout, and a sense of detachment from the industry as a whole. Despite being a highly technical and often solitary craft, visualization and CGI thrive on the exchange of ideas, feedback and inspiration. The tools and techniques evolve rapidly, and staying relevant usually means learning not just from tutorials but from honest conversations with others who understand the nuances of the field. A Community in the Making Professionals from the visualization industry exchanging ideas at WVF 2024. That need for connection is what pushed Michał Nowak, a Polish visualizer and founder of Nowak Studio, to organize Poland’s first-ever architectural visualization meetup in 2017. With no background in event planning, he wasn’t sure where to begin, but he knew something was missing. The Polish Arch Viz scene lacked a shared space for meetings, discussions, and idea exchange. Michał wanted more than screen time; he wanted honest conversations, spontaneous collaboration and a chance to grow alongside others in the field. What began as a modest gathering quickly grew into something much bigger. That original meetup evolved into what is now the World Visualization Festival (WVF), an international event that welcomes artists from across Europe and beyond. “I didn’t expect our small gathering to grow into a global festival,” Michał says. “But I knew I wanted a connection. I believed that through sharing ideas and experiences, we could all grow professionally, creatively, and personally. And that we’d enjoy the journey more.” The response was overwhelming. Each year, more artists from across Poland and Europe join the event in Wrocław, located in south-western Poland. Michał also traveled to other festivals in countries like Portugal and Austria, where he observed the same thing: a spirit of openness, generosity, and shared curiosity. No matter the country or the maturity of the market, the needs were the same — people wanted to connect, learn and grow. And beyond the professional side, there was something else: joy. These events were simply fun. They were energizing. They gave people a reason to step away from their desks and remember why they love what they do. The Professional Benefits Hands-on learning at the AI-driven visualization workshop in Warsaw, October 2024. The professional benefits of attending industry events are well documented. These gatherings provide access to mentorship, collaboration and knowledge that can be challenging to find online. Festivals and industry meetups serve as platforms for emerging trends, new tools and fresh workflows — often before they hit the mainstream. They’re places where ideas collide, assumptions are challenged and growth happens. The range of topics covered at such events is broad, encompassing everything from portfolio reviews and in-depth discussions of particular rendering engines to discussions about pricing your work and building a sustainable business. At the 2024 edition of the World Visualization Festival, panels focused on scaling creative businesses and navigating industry rates drew some of the biggest crowds, proving that artists are hungry for both artistic and entrepreneurial insights. Being part of a creative community also shapes professional identity. It’s not just about finding clients — it’s about finding your place. In a field as fast-moving and competitive as Arch Viz, connection and conversation aren’t luxuries. They’re tools for survival. There’s also the matter of building your social capital. Online interactions can only go so far. Meeting someone in person builds relationships that stick. The coffee-break conversations, the spontaneous feedback — these are the moments that cement a community and have the power to spark future projects or long-lasting partnerships. This usually doesn’t happen in Zoom calls. And let’s not forget the symbolic power of events like industry awards, such as the Architizer’s Vision Awards or CGArchitect’s 3D Awards. These aren’t just celebrations of talent; they’re affirmations of the craft itself. They contribute to the growth and cohesion of the industry while helping to establish and promote best practices. These events clearly define the role and significance of CGI and visualization as a distinct profession, positioned at the intersection of architecture, marketing, and sales. They advocate for the field to be recognized on its own terms, not merely as a support service, but as an independent discipline. For its creators, they bring visibility, credit, and recognition — elements that inspire growth and fuel motivation to keep pushing the craft forward. Occasions like these remind us that what we do has actual value, impact and meaning. The Energy We Take Home The WVF 2024 afterparty provided a vibrant space for networking and celebration in Warsaw. Many artists describe the post-event glow: a renewed sense of purpose, a fresh jolt of energy, an eagerness to get back to work. Sometimes, new projects emerge, new clients appear, or long-dormant ideas finally gain momentum. These events aren’t just about learning — they’re about recharging. One of the most potent moments of last year’s WVF was a series of talks focused on mental health and creative well-being. Co-organized by Michał Nowak and the Polish Arch Viz studio ELEMENT, the festival addressed the emotional realities of the profession, including burnout, self-doubt, and the pressure to constantly produce. These conversations resonated deeply because they were real. Seeing that others face the same struggles — and come through them — is profoundly reassuring. Listening to someone share a business strategy that worked, or a failure they learned from, turns competition into camaraderie. Vulnerability becomes strength. Shared experiences become the foundation of resilience. Make a Statement. Show up! Top industry leaders shared insights during presentations at WVF 2024 In an era when nearly everything can be done online, showing up in person is a powerful statement. It says: I want more than just efficiency. I want connection, creativity and conversation. As the CGI and visualization industries continue to evolve, the need for human connection hasn’t disappeared — it’s grown stronger. Conferences, festivals and meetups, such as World Viz Fest, remain vital spaces for knowledge sharing, innovation and community building. They give us a chance to reset, reconnect and remember that we are part of something bigger than our screens. So, yes, despite the tools, the bandwidth, and the ever-faster workflows, we still need to meet in person. Not out of nostalgia, but out of necessity. Because, no matter how far technology takes us, creativity remains a human endeavor. Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Start your entry ahead of the Final Entry Deadline on July 11th.  The post Building an Architectural Visualization Community: The Case for Physical Gatherings appeared first on Journal.

You’ve drawn fifty versions of the same screen — and you still hate every one of them. Begrudgingly, you pick three, show them to your product manager, and hear: “Looks cool, but the idea doesn’t work.” Sound familiar? In this article, I’ll unpack why designers fall into detail work at the wrong moment, examining both process pitfalls and the underlying psychological reasons, as understanding these traps is the first step to overcoming them. I’ll also share tactics I use to climb out of that trap. Reason #1 You’re Afraid To Show Rough Work We designers worship detail. We’re taught that true craft equals razor‑sharp typography, perfect grids, and pixel precision. So the minute a task arrives, we pop open Figma and start polishing long before polish is needed. I’ve skipped the sketch phase more times than I care to admit. I told myself it would be faster, yet I always ended up spending hours producing a tidy mock‑up when a scribbled thumbnail would have sparked a five‑minute chat with my product manager. Rough sketches felt “unprofessional,” so I hid them. The cost? Lost time, wasted energy — and, by the third redo, teammates were quietly wondering if I even understood the brief. The real problem here is the habit: we open Figma and start perfecting the UI before we’ve even solved the problem. So why do we hide these rough sketches? It’s not just a bad habit or plain silly. There are solid psychological reasons behind it. We often just call it perfectionism, but it’s deeper than wanting things neat. Digging into the psychology (like the research by Hewitt and Flett) shows there are a couple of flavors driving this: Socially prescribed perfectionismIt’s that nagging feeling that everyone else expects perfect work from you, which makes showing anything rough feel like walking into the lion’s den. Self-oriented perfectionismWhere you’re the one setting impossibly high standards for yourself, leading to brutal self-criticism if anything looks slightly off. Either way, the result’s the same: showing unfinished work feels wrong, and you miss out on that vital early feedback. Back to the design side, remember that clients rarely see architects’ first pencil sketches, but these sketches still exist; they guide structural choices before the 3D render. Treat your thumbnails the same way — artifacts meant to collapse uncertainty, not portfolio pieces. Once stakeholders see the upside, roughness becomes a badge of speed, not sloppiness. So, the key is to consciously make that shift: Treat early sketches as disposable tools for thinking and actively share them to get feedback faster. Reason #2: You Fix The Symptom, Not The Cause Before tackling any task, we need to understand what business outcome we’re aiming for. Product managers might come to us asking to enlarge the payment button in the shopping cart because users aren’t noticing it. The suggested solution itself isn’t necessarily bad, but before redesigning the button, we should ask, “What data suggests they aren’t noticing it?” Don’t get me wrong, I’m not saying you shouldn’t trust your product manager. On the contrary, these questions help ensure you’re on the same page and working with the same data. From my experience, here are several reasons why users might not be clicking that coveted button: Users don’t understand that this step is for payment. They understand it’s about payment but expect order confirmation first. Due to incorrect translation, users don’t understand what the button means. Lack of trust signals (no security icons, unclear seller information). Unexpected additional costs (hidden fees, shipping) that appear at this stage. Technical issues (inactive button, page freezing). Now, imagine you simply did what the manager suggested. Would you have solved the problem? Hardly. Moreover, the responsibility for the unresolved issue would fall on you, as the interface solution lies within the design domain. The product manager actually did their job correctly by identifying a problem: suspiciously, few users are clicking the button. Psychologically, taking on this bigger role isn’t easy. It means overcoming the fear of making mistakes and the discomfort of exploring unclear problems rather than just doing tasks. This shift means seeing ourselves as partners who create value — even if it means fighting a hesitation to question product managers (which might come from a fear of speaking up or a desire to avoid challenging authority) — and understanding that using our product logic expertise proactively is crucial for modern designers. There’s another critical reason why we, designers, need to be a bit like product managers: the rise of AI. I deliberately used a simple example about enlarging a button, but I’m confident that in the near future, AI will easily handle routine design tasks. This worries me, but at the same time, I’m already gladly stepping into the product manager’s territory: understanding product and business metrics, formulating hypotheses, conducting research, and so on. It might sound like I’m taking work away from PMs, but believe me, they undoubtedly have enough on their plates and are usually more than happy to delegate some responsibilities to designers. Reason #3: You’re Solving The Wrong Problem Before solving anything, ask whether the problem even deserves your attention. During a major home‑screen redesign, our goal was to drive more users into paid services. The initial hypothesis — making service buttons bigger and brighter might help returning users — seemed reasonable enough to test. However, even when A/B tests (a method of comparing two versions of a design to determine which performs better) showed minimal impact, we continued to tweak those buttons. Only later did it click: the home screen isn’t the place to sell; visitors open the app to start, not to buy. We removed that promo block, and nothing broke. Contextual entry points deeper into the journey performed brilliantly. Lesson learned: Without the right context, any visual tweak is lipstick on a pig. Why did we get stuck polishing buttons instead of stopping sooner? It’s easy to get tunnel vision. Psychologically, it’s likely the good old sunk cost fallacy kicking in: we’d already invested time in the buttons, so stopping felt like wasting that effort, even though the data wasn’t promising. It’s just easier to keep fiddling with something familiar than to admit we need a new plan. Perhaps the simple question I should have asked myself when results stalled was: “Are we optimizing the right thing or just polishing something that fundamentally doesn’t fit the user’s primary goal here?” That alone might have saved hours. Reason #4: You’re Drowning In Unactionable Feedback We all discuss our work with colleagues. But here’s a crucial point: what kind of question do you pose to kick off that discussion? If your go-to is “What do you think?” well, that question might lead you down a rabbit hole of personal opinions rather than actionable insights. While experienced colleagues will cut through the noise, others, unsure what to evaluate, might comment on anything and everything — fonts, button colors, even when you desperately need to discuss a user flow. What matters here are two things: The question you ask, The context you give. That means clearly stating the problem, what you’ve learned, and how your idea aims to fix it. For instance: “The problem is our payment conversion rate has dropped by X%. I’ve interviewed users and found they abandon payment because they don’t understand how the total amount is calculated. My solution is to show a detailed cost breakdown. Do you think this actually solves the problem for them?” Here, you’ve stated the problem (conversion drop), shared your insight (user confusion), explained your solution (cost breakdown), and asked a direct question. It’s even better if you prepare a list of specific sub-questions. For instance: “Are all items in the cost breakdown clear?” or “Does the placement of this breakdown feel intuitive within the payment flow?” Another good habit is to keep your rough sketches and previous iterations handy. Some of your colleagues’ suggestions might be things you’ve already tried. It’s great if you can discuss them immediately to either revisit those ideas or definitively set them aside. I’m not a psychologist, but experience tells me that, psychologically, the reluctance to be this specific often stems from a fear of our solution being rejected. We tend to internalize feedback: a seemingly innocent comment like, “Have you considered other ways to organize this section?” or “Perhaps explore a different structure for this part?” can instantly morph in our minds into “You completely messed up the structure. You’re a bad designer.” Imposter syndrome, in all its glory. So, to wrap up this point, here are two recommendations: Prepare for every design discussion.A couple of focused questions will yield far more valuable input than a vague “So, what do you think?”. Actively work on separating feedback on your design from your self-worth.If a mistake is pointed out, acknowledge it, learn from it, and you’ll be less likely to repeat it. This is often easier said than done. For me, it took years of working with a psychotherapist. If you struggle with this, I sincerely wish you strength in overcoming it. Reason #5 You’re Just Tired Sometimes, the issue isn’t strategic at all — it’s fatigue. Fussing over icon corners can feel like a cozy bunker when your brain is fried. There’s a name for this: decision fatigue. Basically, your brain’s battery for hard thinking is low, so it hides out in the easy, comfy zone of pixel-pushing. A striking example comes from a New York Times article titled “Do You Suffer From Decision Fatigue?.” It described how judges deciding on release requests were far more likely to grant release early in the day (about 70% of cases) compared to late in the day (less than 10%) simply because their decision-making energy was depleted. Luckily, designers rarely hold someone’s freedom in their hands, but the example dramatically shows how fatigue can impact our judgment and productivity. What helps here: Swap tasks.Trade tickets with another designer; novelty resets your focus. Talk to another designer.If NDA permits, ask peers outside the team for a sanity check. Step away.Even a ten‑minute walk can do more than a double‑shot espresso. By the way, I came up with these ideas while walking around my office. I was lucky to work near a river, and those short walks quickly turned into a helpful habit. And one more trick that helps me snap out of detail mode early: if I catch myself making around 20 little tweaks — changing font weight, color, border radius — I just stop. Over time, it turned into a habit. I have a similar one with Instagram: by the third reel, my brain quietly asks, “Wait, weren’t we working?” Funny how that kind of nudge saves a ton of time. Four Steps I Use to Avoid Drowning In Detail Knowing these potential traps, here’s the practical process I use to stay on track: 1. Define the Core Problem & Business Goal Before anything, dig deep: what’s the actual problem we’re solving, not just the requested task or a surface-level symptom? Ask ‘why’ repeatedly. What user pain or business need are we addressing? Then, state the clear business goal: “What metric am I moving, and do we have data to prove this is the right lever?” If retention is the goal, decide whether push reminders, gamification, or personalised content is the best route. The wrong lever, or tackling a symptom instead of the cause, dooms everything downstream. 2. Choose the Mechanic (Solution Principle) Once the core problem and goal are clear, lock the solution principle or ‘mechanic’ first. Going with a game layer? Decide if it’s leaderboards, streaks, or badges. Write it down. Then move on. No UI yet. This keeps the focus high-level before diving into pixels. 3. Wireframe the Flow & Get Focused Feedback Now open Figma. Map screens, layout, and transitions. Boxes and arrows are enough. Keep the fidelity low so the discussion stays on the flow, not colour. Crucially, when you share these early wires, ask specific questions and provide clear context (as discussed in ‘Reason #4’) to get actionable feedback, not just vague opinions. 4. Polish the Visuals (Mindfully) I only let myself tweak grids, type scales, and shadows after the flow is validated. If progress stalls, or before a major polish effort, I surface the work in a design critique — again using targeted questions and clear context — instead of hiding in version 47. This ensures detailing serves the now-validated solution. Even for something as small as a single button, running these four checkpoints takes about ten minutes and saves hours of decorative dithering. Wrapping Up Next time you feel the pull to vanish into mock‑ups before the problem is nailed down, pause and ask what you might be avoiding. Yes, that can expose an uncomfortable truth. But pausing to ask what you might be avoiding — maybe the fuzzy core problem, or just asking for tough feedback — gives you the power to face the real issue head-on. It keeps the project focused on solving the right problem, not just perfecting a flawed solution. Attention to detail is a superpower when used at the right moment. Obsessing over pixels too soon, though, is a bad habit and a warning light telling us the process needs a rethink.

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. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.

Living in a small space doesn’t mean you have to feel cramped or boxed in. With the right design tricks, you can make even the tiniest room feel open, airy, and inviting, no renovation required. Whether you’re in a compact apartment, a small home, or just trying to make the most of a single room, smart styling and layout choices can dramatically shift how the space looks and feels. From strategic lighting and paint colors to furniture swaps and clever storage solutions, there are plenty of easy, affordable ways to stretch your square footage visually. Ready to transform your space? Here are some practical, design-savvy ideas to make your home feel bigger without tearing down a single wall. 1. Opt for Multi-Functional Furniture Image Source: House Beautiful In a small space, every piece of furniture should earn its keep. Look for multi-functional items: ottomans that open up for storage, beds with drawers underneath, or coffee tables that can extend or lift to become a desk. Not only do these pieces help reduce clutter, but they also free up floor space, making the room look more open. Bonus points for furniture that can be folded away when not in use. By choosing versatile pieces, you’re making the most of every inch without sacrificing style or comfort. 2. Keep Pathways Clear Image Source: The Spruce One of the simplest yet most effective ways to make a small space feel bigger is to keep pathways and walkways clear. When furniture or clutter blocks natural movement through a room, it can make the space feel cramped and chaotic. Take a walk through your home and notice where you’re dodging corners or squeezing between pieces,those are areas to rethink. Opt for smaller furniture with slim profiles, or rearrange what you have to create an easy, natural flow. Open walkways help your eyes move freely through the room, making everything feel more spacious, breathable, and intentional. It’s all about giving yourself room to move,literally and visually. 3. Use Glass and Lucite Furniture Image Source: The Spruce Transparent furniture made from glass or Lucite (acrylic) takes up less visual space because you can see right through it. A glass coffee table or clear dining chairs can provide functionality without cluttering up the view. These pieces practically disappear into the background, which helps the room feel more open. They also add a touch of modern sophistication. When you need furniture but don’t want it to dominate the room, going clear is a clever design choice. 4. Don’t Over-Clutter Your Space Image Source: House Beautiful In small spaces, clutter accumulates fast,and it visually shrinks your environment. The more items scattered around, the more cramped the room feels. Start by taking a critical look at what you own and asking: do I really need this here? Use storage bins, under-bed containers, or floating shelves to hide away what you don’t use daily. Keep surfaces like countertops, desks, and coffee tables as clear as possible. A minimal, clean setup allows the eye to rest and makes the space feel open and intentional. Remember: less stuff equals more space,both physically and mentally. 5. Utilize Your Windows Image Source: House Beautiful Windows are like built-in art that can also dramatically affect how big or small your space feels. Don’t cover them with heavy drapes or clutter them with too many objects on the sill. Keep window treatments light and minimal,sheer curtains or roller blinds are perfect. If privacy isn’t a big concern, consider leaving them bare. Letting natural light flood in through your windows instantly opens up your space and makes it feel brighter and more expansive. You can also place mirrors or shiny surfaces near windows to reflect more light into the room and maximize their impact. 6. Downsize Your Dining Table Image Source: House Beautiful A large dining table can dominate a small room, leaving little space to move or breathe. If you rarely entertain a big crowd, consider downsizing to a smaller round or drop-leaf table. These take up less visual and physical space and still offer enough room for daily meals. You can always keep a folding table or stackable chairs nearby for when guests do come over. Round tables are especially great for small spaces because they allow smoother traffic flow and eliminate awkward corners. Plus, a smaller table encourages intimacy during meals and helps the whole area feel more open and functional. 7. Use Mirrors Strategically Image Source: The Tiny Cottage Mirrors can work magic in a small room. They reflect both natural and artificial light, which can instantly make a space feel larger and brighter. A large mirror on a wall opposite a window can double the amount of light in your room. Mirrored furniture or decor elements like trays and picture frames also help. Think about using mirrored closet doors or even creating a mirror gallery wall. It’s not just about brightness; mirrors also create a sense of depth, tricking the eye into seeing more space than there actually is. 8. Install a Murphy Bed Image Source: House Beautiful A Murphy bed (also known as a wall bed) is a game-changer for anyone living in a tight space. It folds up into the wall or a cabinet when not in use, instantly transforming your bedroom into a living room, office, or workout area. This setup gives you the flexibility to have a multi-purpose room without sacrificing comfort. Modern Murphy beds often come with built-in shelves or desks, offering even more function without taking up extra space. If you want to reclaim your floor during the day and still get a good night’s sleep, this is one smart solution. 9. Paint It White Image Source: House Beautiful Painting your walls white is one of the easiest and most effective tricks to make a space feel bigger. White reflects light, helping the room feel open, clean, and fresh. It creates a seamless look, making walls seem to recede and ceilings feel higher. You can still have fun with the space, layer in texture, subtle patterns, or neutral accessories to keep it from feeling sterile. White also acts as a blank canvas, letting your furniture and art stand out. Whether you’re decorating a studio apartment or a small home office, a fresh coat of white paint can work wonders. 10. Prioritize Natural Light Image Source: The Spruce Natural light has an incredible ability to make any room feel more spacious and welcoming. To make the most of it, avoid blocking windows with bulky furniture or dark curtains. Consider using light-filtering shades or sheer curtains to let sunlight pour in while maintaining some privacy. Arrange mirrors or reflective surfaces like glossy tables and metallic decor to bounce the light around the room. Even placing furniture in a way that lets light flow freely can change how open your home feels. Natural light not only brightens your space but also boosts your mood, making it a double win. 11. Maximize Shelving Image Source: House Beautiful When floor space is limited, vertical storage becomes your best ally. Floating shelves, wall-mounted units, or tall bookcases draw the eye upward, creating a sense of height and maximizing every inch. They’re perfect for books, plants, artwork, or even kitchen supplies if you’re short on cabinets. You can also install corner shelves to use often-overlooked spots. Keep them tidy and curated,group items by color, size, or theme for a visually pleasing look. Shelving helps reduce clutter on the floor and tabletops, keeping your home organized and visually open without requiring any extra square footage. 12. Keep It Neutral Image Source: House Beautiful Neutral tones, like soft whites, light grays, warm beiges, and pale taupes,can make a space feel calm and cohesive. These colors reflect light well and reduce visual clutter, making your room appear larger. A neutral palette doesn’t mean boring; you can still play with textures, patterns, and accents within that color family. Add throw pillows, rugs, or wall art in layered neutrals for interest without overwhelming the space. When everything flows in similar tones, it creates continuity, which tricks the eye into seeing a more expansive area. It’s an effortless way to open up your home without lifting a hammer. 13. Choose Benches, Not Chairs Image Source: House Beautiful When space is tight, traditional dining chairs or bulky accent seats can eat up more room than they’re worth. Benches, on the other hand, are a sleek, versatile alternative. They tuck neatly under tables when not in use, saving valuable floor space and keeping walkways open. In entryways, living rooms, or at the foot of a bed, a bench offers seating and can double as storage or display. Some come with built-in compartments or open space beneath for baskets. Plus, benches visually declutter the room with their simple, low-profile design. 14. Use Vertical Spaces Image Source: The Spruce When you’re short on square footage, think vertical. Use tall bookshelves, wall-mounted shelves, and hanging storage to keep things off the floor. Vertical lines naturally draw the eye upward, which creates a feeling of height and openness. Consider mounting floating shelves for books, plants, or decorative items. Hooks and pegboards can add function without taking up space. Making use of your wall space not only maximizes storage but also frees up floor area, which visually enlarges the room. 15. Add a Gallery Wall Image Source: House Beautiful It might seem counterintuitive, but adding a gallery wall can actually make a small space feel bigger,if done right. A curated display of art, photos, or prints draws the eye upward and outward, giving the illusion of a larger area. Stick to cohesive frames and colors to maintain a clean, intentional look. You can go symmetrical for a polished feel or get creative with an organic, freeform layout. Position the gallery higher on the wall to elongate the space visually. Just be sure not to overcrowd,balance is key. A thoughtful gallery wall adds personality without cluttering the room. Finishing Notes: Creating a spacious feel in a small home doesn’t require a sledgehammer or a major remodel, it just takes a bit of strategy and smart design. From downsizing your dining table to letting natural light pour in, each tip we’ve shared is an easy, budget-friendly way to visually open up your space. If you’re looking for even more inspiration, layout ideas, or style guides, be sure to explore Home Designing. It’s packed with expert advice, modern interior trends, and visual walkthroughs to help you transform your space, big or small, into something that truly feels like home.

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.https://medium.com/media/fcb3b16cc42621ba32153aff80ea1805/hrefAnd 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”:https://medium.com/media/f97f45387353363264d99c341d4571b0/hrefPhil 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.https://medium.com/media/5cdea73d7fde0b538e038af1990afa44/hrefNo 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.

Things are warming up as Remedy’s FBC: Firebreak approaches its June 17 launch on PlayStation 5 as part of the PlayStation Plus Game Catalog. We chatted with Communications Director Thomas Puha, Lead Level Designer Teemu Huhtiniemi, Lead Designer/Lead Technical Designer Anssi Hyytiainen, and Game Director/Lead Writer Mike Kayatta about some of the fascinating and often hilarious development secrets behind the first-person shooter. PlayStation Blog: First, what PS5 and PS5 Pro features did you utilize? Thomas Puha: We’ll support 3D Audio, and we’re prioritising 60 FPS on both formats. We’re aiming for FSR2 with an output resolution of 2560 x 1440 (1440p) on PS, and PSSR with an output resolution of 3840×2160 (4K) on PS5 Pro. Some of the DualSense wireless controller’s features are still a work in progress, but we’re looking to use haptic feedback in a similar way to our previous titles, such as Control and Alan Wake 2. For example, we want to differentiate the weapons to feel unique from each other using the adaptive triggers. Going into the game itself, were there any other influences on its creation outside of Control? Mike Kayatta: We looked at different TV shows that had lots of tools for going into a place and dealing with a crisis. One was a reality show called Dirty Jobs, where the host Mike Rowe finds these terrible, dangerous, or unexpected jobs that you don’t know exist, like cleaning out the inside of a water tower. We also looked at PowerWash Simulator. Cleaning dirt is oddly meditative and really fulfilling. It made me wish a zombie attacked me to break the Zen, and then I’d go right back to cleaning. And we were like, that would be pretty fun in the game. Play Video Were there specific challenges you faced given it’s your first multiplayer game and first-person shooter? Anssi Hyytiainen: It’s radically different from a workflow point of view. You can’t really test it alone, necessarily, which is quite a different experience. And then there are times when one player is missing things on their screen that others are seeing. It was like, “What are you shooting at?” What’s been your favorite moments developing the game so far? Teemu Huhtiniemi: There were so many. But I like when we started seeing all of these overlapping systems kind of click, because there’s a long time in the development where you talk about things on paper and have some prototypes, but you don’t really see it all come together until a point. Then you start seeing the interaction between the systems and all the fun that comes out of that. Kayatta: I imagine there’s a lot of people who probably are a little skeptical about Remedy making something so different. Even internally, when the project was starting. And once we got the trailer out there, everyone was so nervous, but it got a pretty positive reaction. Exposing it to the public is very motivating, because with games, for a very long time, there is nothing, or it is janky and it’s ugly and you don’t find the fun immediately. Were there any specific ideals you followed while you worked on the game? Kayatta: Early on we were constantly asking ourselves, “Could this only happen in Control or at Remedy?” Because the first thing you hear is, “Okay, this is just another co-op multiplayer shooter” – there’s thousands of them, and they’re all good. So what can we do to make it worth playing our game? We were always saying we’ve got this super weird universe and really interesting studio, so we’re always looking at what we could do that nobody else can. Huhtiniemi: I think for me it was when we chose to just embrace the chaos. Like, that’s the whole point of the game. It’s supposed to feel overwhelming and busy at times, so that was great to say it out loud. Kayatta: Yeah, originally we had a prototype where there were only two Hiss in the level, but it just didn’t work, it wasn’t fun. Then everything just accidentally went in the opposite direction, where it was super chaos. At some point we actually started looking at Overcooked quite a bit, and saying, “Look, just embrace it. It’s gonna be nuts.” How did you finally decide on the name FBC: Firebreak, and were there any rejected, alternate, or working titles? Kayatta: So Firebreak is named after real world firebreaks, where you deforest an area to prevent a fire from spreading, but firebreaks are also topographical features of the Oldest House. And so we leaned into the term being a first responder who stops fires from spreading. The FBC part came from not wanting to put ‘Control’ in the title, so Control players wouldn’t feel like they had to detour to this before Control 2, but we didn’t want to totally detach from it either as that felt insincere. An external partner pitched a title. They were very serious about talking up the game being in the Oldest House, and then dramatically revealed the name: Housekeepers. I got what they were going for, but I was like, we cannot call it this. It was like you were playing as a maid!   FBC: Firebreak launches on PS5 June 17 as a day on PlayStation Plus Game Catalog title.