A new Pokemon Presents livestream has been confirmed for February 27, and pocket monster fans can expect updates on new in-development projects related to the franchise.The Pokemon Presents livestream has become an annual tradition--these have been held every February since 2021--with additional Pokemon Presents being broadcast closer to big Pokemon game releases. Pokemon Legends Z-A is expected to be the main event, as it's currently scheduled for release on Switch.When does the Pokemon Presents 2025 livestream start?Grab your life-sized Snorlax and get comfortable, as the livestream will begin at 6 AM PT / 9 AM ET/ 2 PM GMT.Continue Reading at GameSpot

The Assetto Corsa series is known for its realism and incredible attention to detail, and Assetto Corsa EVO looks set to continue in this tradition. Although the game is still in early access, its physics engine is right up there with the best in the business, and although there are nowhere near as many cars as there are in games like Gran Turismo 7, the ones that are included look exactly like their real-world counterparts.

There's been a lot of hype around the release of Like A Dragon: Pirate Yakuza In Hawaii and a lot of new players will be using this wacky spin-off as their first jumping-in point for the Yakuza series. Despite being a spin-off game in the vein of Like A Dragon: Ishin rather than a mainline entry, the game retains a lot of the Yakuza DNA in its gameplay and systems. Like other recent spin-offs, Pirate Yakuza in Hawaii returns to the action-brawler style of older Yakuza games, rather than the turn-based Like A Dragon system.

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Hello,I have an OpenGL in C++ tree traversal program that loads a teapot, a teacup, and a teaspoon through the use of Bezier patches and vertices. This method of reading in the data from these .patches and .vertices files is not something I am wanting to do any longer. The biggest reason is that the compiled .exe file still requires those files in the same folder in order to run. What I want to do, and am already very very close to accomplishing, is simply storing the patch and ver

Two Point Museum does not care whether I have to make dinner or not. Like so many other titles in the genre, this management sim churns forward, upward, and onward until the end of time or until burglars start stealing money from your donation bin because you forgot to give the security guards a raise. Thieves are one of the games many natural challenges, along with museum exhibits becoming dusty, guests getting hungry, and trash accumulating on the floor.The newest installment in the wildly popular franchise from Two Point Studios, Two Point Museum slots beautifully into the lineup. Museums are particular and specialized, like the hospitals in Two Point Hospital, and they attract peculiar and specific types of guests, like in Two Point Campus. In this game, which will be released on March 4, your most important employees are your experts, like archeologists and science experts. These experts can go on expeditions and bring back exhibits to display in your museum; having varied and updated exhibits pleases guests who then donate cash, buy souvenirs, or eat food.The drive to make your museum pleasing is high, as each exhibit performs better when you surround it with decor my floppy disk fossil has a prehistoric plant and a few rocks nearby. Even when you succeed at making an amazing museum that youre happy with, the game rolls onward you can start another museum with a new focus, like the supernatural or space. You can mix various exhibit types into one building, or spread your exhibits out over an entire campus.It all sounds very nice and expansive, and at first it is. But eventually, I couldnt help but wonder what I was doing all of this for. The payoff is rarely worth it. Maybe you unlock a new section of the expedition map or, even better, set up a new type of exhibit, after hours of grinding through leveling up your museum but that new territory ultimately leads you back into the same repetitive loop: level up, max out, unlock, repeat.With this in mind, I did crush 20 hours of this game within about 10 days of getting access to the review build I played, and I had no idea it had been that much time until my husband made a guess and I ran to my computer to prove him wrong. He was not. That is part of the push and pull of all of the Two Point games, though, and management sim games in general the game is inherently not respectful of your time.And I did get addicted to the high of seeing double green upward arrows next to the current amount in my coffers. I was delighted for a time with the games signature puns and jokes, and the yeti characters that randomly came into my museum (hailing from a Two Point Hospital DLC). I started to feel less enraptured by the game when I left it running while I walked my dog, just to earn some extra cash after which I got distracted, forgot about the game, and watched an episode of Severance. I found the game still running two hours later (Im sorry, I swear I usually turn my computer off), and I had become disgustingly rich, with massive coffers that kept compounding regardless of dissatisfied staff and too few bathrooms for my growing customer base. The game didnt even need me there to fine-tune the balance of my establishment as it grew so why had I just sunk 20 hours into it?I havent spent enough time with Two Point Museum to say how much play fans will get out of it, but I imagine itll become another title that players could spend 200 or more hours playing. I wish the game offered more breathing room for playing around in both campaign mode and in sandbox mode, and I yearn for more customizability within the aesthetics of the museums. But at $30, its an excellent value proposition for a management sim lover or a dedicated Two Point fan. Id just set a timer so you dont forget to stand up every six hours or so.Two Point Museumwill be released March 4 on PlayStation 5, Windows PC, and Xbox Series X. The game was reviewed on PC using a pre-release download code provided by Two Point Studios. Vox Media has affiliate partnerships. These do not influence editorial content, though Vox Media may earn commissions for products purchased via affiliate links. You can findadditional information about Polygons ethics policy here.

Invincible, the hit comic series and hit Amazon Prime animated series, is getting its own official TTRPG setting, courtesy of the award-winning game designers at Free League Publishing.Partnering with Skybound Entertainment, D&D Beyond founder Adam Bradford (who has also worked as a producer on titles in the modern Dungeons & Dragons, Marvel, and Cortex Prime tabletop role-playing systems) and Free League co-founder Tomas Hrenstam (Alien RPG, Blade Runner RPG) will bring the darkly superheroic world of writer Robert Kirkman and artists Cory Walker and Ryan Ottley to the Year Zero Engine.One of my very first tabletop roleplaying games was the old Marvel Superheroes by TSR, Hrenstam said in Free League and Skybounds news release, and making a superhero RPG has been a lifelong dream. I think the genre, and Invincibles more grounded and visceral take on it, is a great fit for the Year Zero Engine game mechanics.Those mechanics will include balancing everyday life with the demands of being a superhero, Bradford told Polygon via email. Mark Grayson juggles school, homework, and personal relationships while also mastering his powers and facing off against super-villains (sometimes even his own father). This tension between the mundane and the extraordinary continues to shape the story as his duties and relationships evolve. With Invincible Superhero Roleplaying, there are two main types of scenes action and social. Action scenes capture the thrill of battling super-villains, but I love that social scenes provide important narrative downtime between those clashes where the relationships and responsibilities that make the characters more than just superheroes come to life. Social scenes are mechanically important too, as they allow characters to recover their Health and Resolve.Invincible Superhero Roleplaying will launch on Kickstarter later this year, in an edition that includes a core rulebook and starter set featuring art from Invincible artists Walker and Ottley. The Invincible comic book series has amazing art [] and being able to use that in our RPG is a great privilege, Hrenstam told Polygon. That said, we will be adding some new art as well.Free League is keeping mum on exactly when that Kickstarter will kick off, but interested players and GMs can sign up on the campaigns pre-launch page to get notified whenever that changes.[Invincible] contains everything we love about [superhero] stories, Bradford told Polygon, though often with surprising twists that subvert familiar tropes. In Invincible, anything can exist, and anything can be turned on its head. Since the comic has a clear beginning, middle, and end, the narrative has a natural momentum thats ideal for a tabletop campaign. In the same spirit, players can collaborate to create their own epic stories with this game.

From Robert Rauschenberg to Hannah Hch and Max Ernst, I have always been drawn to collage and assemblage. These techniques, where separate elements are edited and fused into something new, have long fascinated me unsurprisingly, much like my obsession with gathering ingredients to make an improvised dish.Similarly, collaboration mirrors collage. Its a dynamic fusion of individual voices, perspectives, and skills. Just as a collage artist collects pieces to form a new narrative, collaboration brings together diverse ideas to create something greater than the sum of its parts. Its about finding connections, embracing contrast, and allowing a project to evolve as creators interact to blend, reshape, and transform it into a collective piece.Photo: TJ Girard, courtesy of Taste:Work:ShopPLUCK Miami is currently collaborating with my food design studio, Taste:Work:Shop, on our FLOW tray collection. The first series of butlering trays from this collection reworks antique silver pieces to keep glasses in place by weaving flowing materials to create traction while soaking up condensation in a seamless and ethereal way.Photo: TJ Girard, courtesy of Taste:Work:ShopPLUCK is known for its use of rust, wild dye, and eco-printing on hand-loomed and vintage fabrics. For our collaboration, they are creating eco-printed linen doily runners in wine-inspired shades. Each piece is unique and inherently one-of-a-kind. PLUCKs process plays a key role in the FLOW tray collection. Eco-printing uses the tannins in leaves and plant material to create permanent color imprints on fibers. This technique, rooted in natural dyeing, combines chemistry and nature to produce stunning, organic designs a subtle nod to the tannins found in the winemaking process, as well as to the ring-stained linens after a raucous dinner party.Photo: TJ Girard, courtesy of Taste:Work:ShopWhile visiting Wine + Eggs in Los Angeles Atwater Village, the ITRI wine bottles caught my eye with their eclectic, feminine, and botanical labels a collage in themselves. ITRI wines are the result of a collaboration between Kent Humphrey, Adam Croce, and Casey OBrien. Passionate about connecting people with wines that align with their individual tastes, OBrien and Croce collaborated with Humphrey, who has been crafting award-winning wines in California for over three decades.Photo: Adam Croce, courtesy of ITRI CellarsITRI Wine: Chapter One Skin Contact White is vibrant, structured, and full of energy. A blend of candied orange peel, honey mead, and chamomile leads to crisp citrus flavors, with hints of kumquat and lemon thyme. Try it with arugula salads, hard-aged cheeses, creamy dishes, French onion soup, or mushrooms. (94% Viognier, 6% Sauvignon Blanc)ITRI Wine: Chapter One Chilled Red is light-bodied, high-energy, and perfect when served slightly chilled. Fresh red fruit flavors like cherry, strawberry, and cranberry are complemented by hints of violet, thyme, and black pepper. Ideal with grilled vegetables, savory white meats, or any spicy dish great for outdoor dining. (60% Petite Sirah, 33% Zinfandel, 7% Syrah)Upon reading more, I discovered that ITRI wines are crafted for misfits, by misfits. The concept of wine for misfits truly resonated with my collaboration with Susan Holland of PLUCK. Holland is a fiercely unapologetic artist whose creative confidence is both inspiring and aspirational. She challenges conventions and encourages others to explore their own artistic boundaries. Reconnecting with someone who continually inspires curiosity and pushes boundaries is a gift. This collaboration is yet another example of how the collage of experiences, people, and projects we accumulate along the way adds meaning to both life and art.FLOW Tray and pedestals by Taste:Work:Shop \\\ Eco-printed runner doily by PLUCK Prices upon request.

A practical framework for implementing AI as a foundational layer in digitalproductsFigure 1: Conceptual representation of AI as a horizontal enabling layer, illustrating its transformative nature similar to electricity in the 20th century. The bright horizontal line represents the AI layer that powers and connects multiple applications and systems, represented by interconnected nodes. Image generated viaKrea.ai.IntroductionAI is a horizontal enabling layerit can be used to improve everything. It will be in everything,Jeff Bezos declared, comparing AI to the transformative power of electricity.These kinds of horizontal layers like electricity, compute, and now artificial intelligence, they go everywhere. I guarantee you there is not a single application that you can think of that is not going to be made better byAI.Just as electricity revolutionized every industry by becoming a foundational utility, AI is fundamentally reshaping our digital landscape in ways that go far beyond simple automation. At Amazon alone, teams are working on literally a thousand applications internally, demonstrating AIs potential for widespread integration.As UX professionals, were at the forefront of this transformation, tasked with creating interfaces that make these powerful capabilities accessible and meaningful to users. Through an analysis of pioneering applications, we can establish a framework for designing AI-driven products. These examples serve as both a conceptual model and a practical guide for structuring products where AI acts as a foundational layer. Beyond showcasing technological advancement, this analysis provides a systematic approach to identifying AI opportunities within your own products.Case 1: Perplexity AIFrom manual information assembly to intelligent discoveryThe Challenge: Breaking free from traditional searchAI is the first truly new interaction-design paradigm in 60 years, observes Jakob Nielsen, and nowhere is this more evident than in information search.Traditional search engines, despite their sophistication, still required users to master a complex dance: crafting precise queries, scanning multiple results, clicking through various pages, and mentally synthesizing information. This process, while familiar, placed a significant cognitive burden onusers.Figure 2: Traditional search interface. A Google search interface showing the traditional approach where users must manually scan, filter, and synthesize information from multiple sources. Note the cognitive load required to process and connect information.The transformation: Reimagining search withAIPerplexity AI embodies this transformation by fundamentally reimagining how humans interact with information. Instead of users adapting to the systems requirements, the AI adapts to userintent.Figure 3: Perplexity AI Interface. Perplexity AIs interface demonstrates the shift from tool-based search to intelligent discovery. Note how it automatically synthesizes information and presents structured comparisons.How it works: The intelligence layerThe system processes queries through interconnected layers that understand context, verify information in real-time, and present synthesized answers that feel natural and conversational.Figure 4: System architecture diagram. Perplexity AIs information discovery system, showing how natural language queries are processed through multiple AI layers for comprehensive, verified answers. Source:Author.Key Components:Query understanding layer: Processes natural languageinputInformation synthesis layer: Connects and verifies multiplesourcesResponse generation layer: Creates coherent, contextual answersInteraction management layer: Maintains conversation flowImpact on user experienceThe result isnt just a faster search engineits a new paradigm for knowledge discovery that feels more like consulting a knowledgeable colleague than operating a digital tool. Userscan:Ask questions naturally without worrying aboutkeywordsReceive comprehensive, synthesized answersFollow up with contextual questionsVerify sources and facts in real-timeThis transformation shows how AI can fundamentally change core user interactions, moving beyond mere automation to create truly intelligent systems that adapt to human needs rather than requiring humans to adapt tothem.Case 2: NotebookLMFrom document management to knowledge orchestrationThe challenge: Beyond digitalpaperTraditional research and note-taking tools merely digitized the paper experience while maintaining its fundamental limitations. Knowledge workers and researchers faced persistent challenges:Manual information organizationLimited connections between documentsDifficulty maintaining coherent management systemsCognitive overload when processing multiplesourcesFigure 5: Traditional research process. Traditional document management approach showing multiple windows, manual note-taking, and disconnected information sources. Researchers must manually create connections and maintain organization systems. Image generated viaKrea.ai.The transformation: AI as a knowledge partnerNotebookLM transforms this experience by implementing AI as an intelligent collaboration layer. Instead of being a passive repository, thesystem:Actively participates in the knowledge workprocessAutomatically maps relationships between documentsSuggests connections you might havemissedAdapts its organization to your thinkingpatternsFigure 6: NotebookLM Interface. NotebookLMs dynamic workspace showing AI-powered suggestions, automatic relationship mapping, and contextual document organization.How it works: The intelligence layerNotebookLM transforms document management through a three-layer intelligence system. The User interaction layer handles direct user engagement through document uploads, natural queries, and note-taking capabilities. The Knowledge processing layerthe systems coreanalyzes documents, maps connections, and synthesizes information using advanced AI algorithms. Finally, the Intelligent output layer presents this processed information as connected insights, related concepts, and research suggestions, creating a dynamic system that actively enhances the research and learningprocess.Figure 7: Knowledge orchestration system. Visualization of NotebookLMs approach to transforming document management into an intelligent knowledge system. Source:Author.Impact on research and knowledge workThis transformation creates a dynamic workspace that:Feels less like a digital filing cabinet and more like a thinkingpartnerEnhances natural workflow while maintaining flexibilityReduces the cognitive load of organizationFacilitates serendipitous discoveriesNotebookLM represents a fundamental shift in how we interact with information: from passive document management to active collaboration with a system that understands and amplifies our thought processes. This transformation demonstrates how AI can serve as more than just a toolit becomes an intelligent partner in the knowledge work process, while maintaining the users autonomy and enhancing their natural cognitive workflows.Case 3: GenwayAIFrom individual interviews to scalable intelligenceThe challenge: Breaking traditional research boundariesThe traditional UX research process has remained largely unchanged for decades, requiring intensive manual effort at every stage. Researchers face significant limitations:Time-consuming participant recruitmentLimited interview capacityManual analysis of responsesLabor-intensive synthesis offindingsTrade-offs between depth and breadth ofresearchFigure 8: Traditional UX Research Session. A traditional user research session showing researchers conducting a one-on-one interview. This manual approach, while thorough, illustrates the core limitation of traditional UX research: the inability to scale without compromising depth of insights. Image generated viaKrea.ai.The transformation: AI-enabled research atscaleGenway AI revolutionizes this paradigm by implementing AI as a horizontal enabling layer across the entire research workflow. Thesystem:Conducts multiple human-like interviews simultaneouslyProcesses multiple data streams in real-timeAnalyzes responses across voice, text, andvideoSynthesizes insights automatically while maintaining research integrityFigure 9: Genway AI Interface. Genway AIs interface showing parallel interview processing, real-time analysis, and automated insight generation while maintaining human oversight.How it works: The intelligence layerGenway AI operates through a comprehensive three-layer system that transforms traditional user research into a scalable intelligence operation. The Data collection layer captures multiple streams of user input through voice, text, and video channels simultaneously. The AI processing core analyzes this data in real-time, recognizing patterns, performing sentiment analysis, and generating insights. The Research insights layer then delivers both quantitative analysis and qualitative insights, automatically detecting trends and providing strategic recommendations.Figure 10: Research intelligence framework. Visualization of Genway AIs approach to scaling user research, showing how multiple data streams are processed simultaneously through AI analysis layers. Source:Author.Impact on UXresearchThis transformation fundamentally reshapes UX research capabilities through:Scale with depth: Enables simultaneous processing of hundreds of interviews while maintaining the nuanced understanding essential to quality research. The system can process multiple data streams without sacrificing the depth of analysis traditionally associated with one-on-one interviews.Real-time intelligence: Combines immediate insight generation during research sessions with sophisticated pattern recognition across large datasets, enabling researchers to adapt and refine their approach during the researchprocess.Augmented expertise: Creates a balanced synergy between automation and human expertise, where AI handles data processing and pattern identification while researchers focus on strategic interpretation and decision-making.Genway AI demonstrates how artificial intelligence can transform UX research from a linear, resource-constrained process into a dynamic, scalable system that amplifies rather than replaces human research capabilities. This transformation maintains the nuanced understanding essential to user research while dramatically expanding its scope and efficiency.The impact on UX design and future implicationsOur analysis of these groundbreaking applications reveals fundamental patterns reshaping the future of UX design. Just as electricity transformed every industry it touched, AI is creating new paradigms for how we think about and design digital experiences.As Jakob Nielsen observes, the best design for AI will retain some of the old graphical user interface elements, resulting in a hybrid UI, mostly based on user intent. But iterations including tweaks and revisions, specified through GUI commands. This insight reveals a crucial principle for designing AI-powered products: the need to balance revolutionary capabilities with familiar interaction patterns.How AI is reshaping digital experiencesAI isnt simply adding features to existing toolsits fundamentally transforming how we design digital experiences. As Henry Modisett, head of design at Perplexity AI, emphasizes, This technology is just going to be available in everything and everywhere. Itll just be a way to enable some core product experience. Itll make some new software thats amazing, and itll accelerate some old software.This transformation operates on three integrated levels:Understanding user intent, even when expressed imperfectlyManaging complex processing invisiblyAdapting interfaces dynamically to userneedsWe see this already in action through tools like Perplexity AI, which has transformed information search into natural conversation, and NotebookLM, which actively discovers connections across documents that users might miss. These arent merely faster versions of existing toolsthey represent entirely new paradigms for human-computer interaction.Building trust through smartdesignThe key to successful AI integration lies in balancing transparency and user control. Each of our case studies demonstrates this principle in action; Perplexity AI shows its sources in real-time, NotebookLM visualizes its thought process when connecting ideas across documents, and Genway AI maintains transparency in its research data analysis. These implementations showcase different levels of AI involvement while ensuring users maintain meaningful control.This balanced approach manifests through specific designchoices:Verification mechanisms: Users can verify sources directly in Perplexity AI.Selective adoption: NotebookLM allows users to accept or reject AI-suggested connections.Expert oversight: Genway AI enables researchers to validate AI-generated insights.By making AIs role visible and keeping users in control, these systems create the foundation of trust essential for effective human-AI collaboration while maximizing the benefits of AI capabilities.Conclusion: The path forward with AI in UXdesignThe transformation were witnessing in UX design isnt just another technological shiftits a fundamental reimagining of how humans interact with digital products. Were moving from an era of digital tools to one of intelligent systems, where AI acts as a horizontal enabling layer that enhances and transforms every aspect of the user experience.Looking ahead, UX teams need to focus on three key priorities:Designing with intention: Move beyond surface-level AI integration by identifying where AI can most meaningfully transform your users experience, shifting from standalone tools to interconnected intelligent systems.Building trust through transparency: Apply frameworks and design patterns that clearly communicate AIs role and limitations to users, making the intelligence layer visible and understandable.Preserve human autonomy: Ensure users maintain meaningful control and understanding of AI-driven features, creating a symbiotic relationship between human insight and AI capabilities.The future of UX belongs to designers who can strike the right balance between AIs capabilities and human needs. Success will come not from maximizing AI usage, but from thoughtfully integrating it as an intelligence layer that augments human capabilities while preserving what makes us uniquely human: our creativity, empathy, and ability to make nuanced judgments based on context andvalues.The question isnt whether AI will transform your products user experienceits how youll lead that transformation. Every UX team now faces the opportunity to evolve their products from collections of tools into intelligent systems that adapt, learn, and grow with theirusers.Are you ready to reimagine whats possible?The AI layer: transforming UX design from tools to intelligence was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.