Projects Update – Q2/2025 html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd" At the beginning of 2025, several projects were announced as the initial targets for the year. Now that we’re in the middle of the second quarter, let’s take a look at where each project stands. Complete Vulkan Vulkan is now officially supported in the upcoming 4.5 LTS release, offering feature parity and comparable performance to the OpenGL backend. The next step is to monitor bug reports and eventually make it the default backend for non-macOS systems. Almost Complete UV Sync All issues from the (five-year-old!) UV Sync design task have been addressed. Development is ongoing in the pr-uv-sync-select branch (builds are available here). The remaining work involves finalizing the port of certain selection operators and resolving minor issues. Follow the project at #136817. Better integration across node trees The compositor is moving closer to feature parity with shading and geometry nodes, thanks to the addition of new nodes such as Vector Math, Vector Rotate, Vector Mix, Value Mix, Clamp, Float Curve, and Blackbody. Compositor Assets Mockup. The next step is to expose most of the existing node options as socket inputs, (#137223). This will enable compositor node assets to be bundled with Blender. After that, the focus will remain on simplifying onboarding for new compositor users by making node trees reusable (#135223). In Progress Project Setup The first milestone (Blender variables) was recently merged. The next step is to handle Path Template errors in a more robust way. Project Setup Mockup. After that, work will begin on the Project Definition phase. Follow the project at #133001. Shape Keys Improvements What was originally framed as a performance problem has shifted focus toward usability and management of shape keys. As part of this, new operators for duplicating and updating shape keys have already been merged, with their mirrored counterparts to follow. Additionally, work on multi-select and editing of shape keys is gaining momentum. Follow the project at #136838. Remote Asset Libraries The project has broadened in scope to address usability improvements, including: Preview generation for all selected assets. A more compact view with a horizontal list and two-line names. Snapping for dragged collection assets. Remote Asset Library mockup. Meanwhile, the code for handling downloads has been submitted for review but encountered a setback. Development is taking place in the remote-asset-library-monolithic branch. Follow the project at #134495. Hair Dynamics The Hair Dynamics project consists of multiple deliverables: Embedded Linked Data (#133801) — still under review Bundles and Closures — merged as experimental Declarative Systems — published as a design proposal Hair Solver — see below For the hair (physics) solver, the plan is to use the upcoming Blender Studio project—currently unnamed but focused on a facial rig—as a use case, at least to develop it as an experimental feature. This will also involve addressing existing issues with animated hair and integrating animation and simulation for the same character—initially using separate hair objects. Design/Prototype Texture cache and mipmaps Initially unplanned due to limited resources, this project was eventually added to the agenda. A rudimentary prototype is already available in the cycles-tx branch. In the Attic and Bistro benchmark scenes, memory usage is already significantly reduced. These scenes were chosen because they include texture cache (.tx) files. To learn how to test it, follow the project at #68917. NPR The NPR (Non-Photo Realism) prototype received extensive feedback, helping to map out all planned and unsupported use cases for the project. More details, including the final design and development plans, will be shared soon. In brief: Some features will be implemented as EEVEE nodes. Others will be enabled via per-material/object compositing nodes. EEVEE features will be prioritized first, while the per-material/object compositing nodes require further design. So far, the focus has been on prototyping and finalizing the design to pull VSE strips out of the scene and create a dedicated sequence data-block. Story Tools Mockup. The next step is to finalize the design by either: Exploring once more the idea of keeping the sequence as part of the scene; or Settling on a per-camera and file settings design. After that, a technical breakdown will follow, then development. Follow the project at #131329. Not Started Layered Sculpting Layered sculpting hasn’t started yet. The original plan was to first address multi-resolution undo and rebuild issues, followed by fixing propagation spikes. However, in recent months the focus shifted to tackling sculpting performance issues present since the 4.3 release, mainly: Performance problems with smaller brush strokes. Local brush management. The performance patches are currently under review and expected in time for the upcoming 4.5 LTS release. Once completed, work on undo and multi-resolution will resume. Dynamic Overrides The team is busy with the 5.0 breaking change targets and other tasks and could not reserve the time to start the initial changes expected to simplify the overrides process. The team is currently focused on the 5.0 breaking change targets and other tasks, so they have not yet been able to start the initial changes aimed at simplifying the overrides process. And more… Beyond these projects, daily activity continues across various development modules. For a more frequent, day-to-day view of progress, check out the Weekly Updates and Module Meetings. All this progress is made possible thanks to donations and ongoing community involvement and contributions. Support the Future of Blender Donate to Blender by joining the Development Fund to support the Blender Foundation’s work on core development, maintenance, and new releases. ♥ Donate to Blender

China has launched 12 satellites, which experts describe as the world’s first operational space-based computing network, applying edge computing principles to orbital operations in a development that could reshape how enterprises manage global data. The satellites, launched by Guoxing Aerospace of China, are equipped with AI systems, advanced inter-satellite communication capabilities, and onboard computing power. The network, formally named the “Three-Body Computing Constellation” but also referred to as the “Star Computing Constellation 021” mission, represents China’s push to create computing infrastructure beyond Earth that could transform data processing while potentially reducing environmental impacts, Guoxing Aerospace said in a statement. The constellation is a project by China to build a network of 2,800 satellites to empower real-time in-orbit computing and data processing. “China’s orbital AI constellation is more than a technological feat—it’s a proof of concept for distributed processing, autonomy at the edge, and context-driven compute as core tenets of modern architecture,” said Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research. “What makes this constellation distinctive is not just its scale, but its shift in control logic: inference and orchestration happen in orbit, across a high-speed inter-satellite mesh, without needing constant cloud fallback.” Edge computing in space For enterprise decision-makers, the constellation represents perhaps the most ambitious application yet of edge computing principles — processing data directly where it’s generated rather than sending everything to centralized facilities. This orbital implementation showcases how these principles can address even the most extreme bandwidth constraints. “China’s Three-Body Computing Constellation marks a radical evolution in edge computing — demonstrating a ‘hyper-edge’ model: autonomous, localized processing under extreme latency and bandwidth constraints,” explained Deepti Sekhri, practice director at Everest Group. “This leap forces enterprise edge strategies to move beyond basic edge nodes toward resilient, AI-infused micro-infrastructures. We can expect the biggest impact in industries like manufacturing, defense, and logistics, where decisions must happen instantly and locally.” Traditional satellites face a significant data transmission bottleneck, with a significant amount of data loss during transmission to Earth due to bandwidth constraints. This parallels challenges many enterprises encounter in remote operations with bandwidth-intensive applications. “We are now entering a post-centralisation era — where compute is pulled toward the edge not by ideology, but by necessity,” noted Gogia. “Whether it’s orbital satellites, smart grids, or in-field robotics, AI workloads are becoming heavier, more inference-driven, and intolerant to network-induced drag. Centralised clouds won’t disappear — but for many classes of applications, they will no longer be the first stop.” “As we enter an AI-native era shaped by data-heavy, latency-sensitive, and bandwidth-limited environments, distributed architectures are increasingly becoming relevant,” added Sekhri. “The appeal of processing data closer to where it’s generated is gaining ground fast, and space-based compute reinforces this directional shift.” Technical specifications showcase distributed potential As per Guoxing Aerospace, each of the 12 satellites contains specialized computing hardware capable of handling up to 744 trillion operations per second. With 12 satellites working together, the array delivers a combined computing power of 5 peta operations per second (POPS) — equivalent to 5 quadrillion calculations per second. To put this in perspective, when fully implemented, the constellation could reach 1,000 POPS of processing capacity—potentially surpassing Earth’s most powerful systems, according to the Chinese government. The El Capitan supercomputer at Lawrence Livermore National Laboratory in California, ranked as the world’s most powerful last year, achieves approximately 1.72 POPS! To function as a unified processing network, the constellation employs laser communication technology, achieving data transfer speeds up to 100 gigabits per second, comparable to some of the fastest terrestrial fiber optic networks, the statement added. The constellation also incorporates 30 terabytes of on-board storage and runs an AI model with 8 billion parameters, demonstrating how sophisticated artificial intelligence applications can be deployed at the network edge. For context, this means the system can run relatively sophisticated artificial intelligence applications similar to some large language models, though smaller than the most advanced AI systems used on Earth today. Environmental and economic advantages The space-based distributed approach also addresses growing environmental concerns about data centers — a priority for enterprises with sustainability targets. The International Energy Agency projects that global data centers could consume more than 945 terawatt hours of electricity annually by 2030—roughly equivalent to Japan’s entire electricity usage. “The economics of enterprise compute are undergoing a structural inversion — and China’s Three-Body Computing Constellation makes that undeniable,” observed Gogia. “As AI workloads are increasingly executed at the point of collection — in orbit or on Earth — the cost of centralisation becomes a liability.” By processing data closer to collection points, organizations can potentially reduce the energy footprint associated with moving massive datasets across global networks. Water consumption presents another environmental challenge for traditional computing facilities that distributed approaches can help address, as major technology companies use billions of liters of water annually to cool their data centers. Implications for global operations For multinational enterprises, the constellation demonstrates how distributed processing systems might eventually support truly global operations. Chinese officials have positioned this initiative as establishing globally accessible, mobile, and low-carbon space-based infrastructure. “This development presents not just an engineering milestone, but a geopolitical one — casting data governance into uncharted territory,” warned Gogia. “Orbital compute is redefining the boundaries of data sovereignty. The Three-Body system decentralises not only AI processing but also geopolitical accountability — placing inference and decision-making infrastructure into orbits that may not fall cleanly under existing legal regimes.” “However, as compute infrastructure stretches beyond sovereign borders, enterprises face a growing ambiguity around governance and jurisdiction,” cautioned Sekhri. “Enterprises will need to evolve their risk frameworks and operational policies to address a new class of sovereignty and control challenges.” It is expected that similar networks will likely be deployed by multiple nations in the coming years, potentially creating new infrastructure that enterprises could leverage for global operations, particularly in remote areas where traditional connectivity remains challenging. “Perhaps the more pressing question isn’t how far edge computing can go — but who ultimately orchestrates it,” Sekhri pointed out. “As the compute fabric fragments across clouds, geographies, and orbits, control may shift from centralized platforms to a more federated, contested, and geopolitically charged landscape. That’s a future worth preparing for.”

TSMC, Cadence, KLA, Siemens and Synopsys are advancing semiconductor manufacturing by adopting the NVIDIA CUDA-X and NVIDIA Blackwell platforms.   NVIDIA Blackwell GPUs, NVIDIA Grace CPUs, high-speed NVIDIA NVLink fabrics and switches, and domain-specific NVIDIA CUDA-X libraries like NVIDIA cuDSS and NVIDIA cuLitho are improving computational lithography and device simulation for advanced chip manufacturing. “Our collaboration with NVIDIA represents a significant advancement in semiconductor process simulation,” said Jeff Wu, fellow and director for the technology computer-aided design division at TSMC. “The computational acceleration from CUDA-X libraries and NVIDIA Grace Blackwell will expedite process development by simulating complex manufacturing processes and device behaviors at lower cost.” NVIDIA cuLitho and Blackwell speed up lithography by up to 25x. GPU acceleration enables leading lithography providers and semiconductor manufacturers such as TSMC to predict and correct lithography issues before production at an unprecedented speed.   Earlier this month, electronic design automation (EDA) software and services provider Cadence announced its Millennium M2000 platform, built exclusively on NVIDIA Blackwell for the EDA market. The M2000 is a scalable turnkey solution for deploying NVIDIA Grace Blackwell and CUDA-X libraries with a fully accelerated portfolio of Cadence design tools. Cadence is also one of the first to adopt NVIDIA NVLink Fusion, enabling custom silicon scale-up to meet the requirements of demanding workloads for model training and agentic AI inference. By adopting NVLink Fusion, Cadence allows hyperscalers to optimize and validate across the entire design spectrum.  This month, Cadence announced the Millennium M2000 AI Supercomputer to transform silicon, system and drug design. Based on the NVIDIA Blackwell platform, options include the NVIDIA GB200 NVL72 system for tackling massive system-on-a-chip, 3D-IC, and subsystem implementation and signoff using Cadence Cerebrus AI Studio and Cadence multiphysics system analysis tools, as well as the new NVIDIA RTX PRO 6000 Blackwell Server Edition GPU for smaller chip designs and simulations. “Our collaboration with NVIDIA has always been about pushing the boundaries of what’s possible in both electronic design automation and system design and analysis,” said Michael Jackson, corporate vice president and general manager of the system design and analysis group at Cadence. “The Millennium M2000 platform, built exclusively on NVIDIA Blackwell, isn’t just about faster simulation — it’s about redefining the infrastructure for AI-driven innovation, enabling what was previously impossible.”  Siemens is harnessing the parallel processing power of the NVIDIA CUDA-X libraries and the groundbreaking performance of the Grace Blackwell platform to significantly accelerate its Calibre platform.  This integration enables unprecedented speed and accuracy in critical semiconductor manufacturing steps, including optical proximity correction with nanometer precision, comprehensive physical verification, robust design for manufacturability analysis, thorough reliability verification and seamless integration and automation across the design-to-manufacturing flow. “Leveraging NVIDIA CUDA-X and Grace Blackwell in our Calibre platform enables faster, more efficient optical proximity correction without sacrificing accuracy for advanced semiconductor nodes,” said Mike Ellow, CEO of Siemens EDA. “This is especially important as chip complexity continues to grow.” Additionally, Synopsys, a leading EDA software and services provider, is using NVIDIA CUDA-X libraries and Blackwell for its EDA tools, including Synopsys PrimeSim, Proteus, S-Litho, Sentaurus Device and QuantumATK. By integrating with CUDA-X libraries, Synopsys achieved new benchmark results for Sentaurus Device, QuantumATK, and S-Litho on the NVIDIA B200, demonstrating a 12x, 15x and 20x scale-up, respectively, versus comparable CPU infrastructure.  In addition, Synopsys recently announced at NVIDIA GTC that they project Synopsys PrimeSim to run 30x faster and Synopsys Proteus to run 20x faster on NVIDIA Blackwell platforms. “Synopsys has a long history of collaborating with NVIDIA on accelerating our EDA solutions to maximize the capabilities of engineering teams. Building on our industry-first approach, Synopsys is leveraging NVIDIA’s Blackwell architecture across our TCAD, computational lithography and atomistic simulation products to unlock unprecedented performance gains,” said Sanjay Bali, senior vice president of strategy and product management at Synopsys. “By integrating NVIDIA’s CUDA-X libraries and Blackwell architecture into our industry-leading simulation solvers, we’ve achieved transformative speedups and redefined how EDA is enabling semiconductor manufacturing innovation.” Semiconductor process control equipment manufacturer KLA and NVIDIA have worked together for over a decade to advance KLA’s physics-based AI with optimized high-performance computing solutions that tap into GPUs and the CUDA ecosystem.  The value of process control in semiconductor manufacturing is increasing due to AI-driven trends, such as more complex designs, accelerated product cycles, higher value wafer volumes and growing advanced packaging demand. KLA’s industry-leading inspection and metrology systems capture and process images by running complex AI algorithms to find the most critical semiconductor defects at lightning-fast speeds. KLA is looking forward to evaluating the NVIDIA RTX PRO 6000 Blackwell Server Edition with CUDA-X libraries for certain markets to further accelerate inference workloads powering the semiconductor chip manufacturing process. By embedding NVIDIA Blackwell into EDA, manufacturing and process control, NVIDIA is helping the semiconductor industry deliver the next generation of high-performance chips faster. Learn more about the latest AI advancements at NVIDIA GTC Taipei, running May 21-22 at COMPUTEX.

Photo Credit: YouTube/ Computex Taipei  Qualcomm unveiled the Snapdragon 8 Elite during its Snapdragon Tech Summit in October 2024 Highlights Qualcomm has revealed the dates for its next Snapdragon Summit The chipmaker will hold the event in late September The new chip is likely to support LPDDR5x and LPDDR6 RAM Advertisement Qualcomm announced the schedule for its upcoming Snapdragon Summit during Computex 2025 in Taipei. The annual launch event will take place in late September this year, slightly earlier than Qualcomm's typical launch window. The annual summit is expected to introduce the next-generation chipset, tentatively called the Snapdragon 8 Elite 2. For reference, the current Snapdragon 8 Elite was unveiled during last October's Snapdragon Summit. Devices featuring the new Snapdragon 8 Elite 2 are anticipated to arrive in the market by October.Snapdragon Summit Set to Take Place in SeptemberQualcomm President and CEO Cristiano Amon, during his keynote speech at Computex 2025, revealed that the next Snapdragon Summit will take place between September 23 and September 25 this year in Hawaii. That's ahead of schedule compared to previous years—for instance, last year's Snapdragon Summit was held in late October. The Snapdragon Summit has long served as Qualcomm's platform for unveiling its next-generation flagship smartphone SoCs. We can expect the company to follow suit this year with the Snapdragon 8 Elite 2 announcement.Handsets featuring the new chip could land in October. The new launch timeline of the Snapdragon 8 Elite 2 could give smartphone companies ample time to integrate the new chipset into their flagship devices.  The chip is rumoured to offer 25 percent improved performance over the Snapdragon 8 Elite. The Snapdragon 8 Elite 2 is said to use TSMC's advanced 3nm (N3P) process node. It is said to come with second-generation Oryon CPU cores and offer a base frequency of 4.4GHz. It is said to support LPDDR5x and LPDDR6 RAM.Xiaomi 16 and Xiaomi 16 Pro are believed to be the first handsets to arrive with the Snapdragon 8 Elite 2 chipset. The OnePlus 15, Realme GT 8,  iQOO 14, Vivo X300 Ultra and Samsung Galaxy S26 series could also be among the first smartphones to feature the new Snapdragon chipset. The Xiaomi 15 series was the first to feature Qualcomm's Snapdragon 8 Elite SoC last year. For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Further reading: Qualcomm, Snapdragon 8 Elite 2, Snapdragon 8 Elite, Snapdragon Summit Nithya P Nair Nithya P Nair is a journalist with more than five years of experience in digital journalism. She specialises in business and technology beats. A foodie at heart, Nithya loves exploring new places (read cuisines) and sneaking in Malayalam movie dialogues to spice up conversations. More Related Stories

Samsung has also "pushed" for an OLED refresh, it's claimed.A new report from Bloomberg reveals Nintendo has called on Samsung to "produce the main chips" for the Switch 2 and potentially "ramp up production" if needed. According to the source, this move could allow Nintendo's next-generation system to sell a "higher-than-projected 20 million units by March 2026".The report goes on to mention how "people familiar with the matter" say the Korean tech giant is now working on a "customized chip or processor designed by Nvidia Corp for the Switch 2 using its 8-nanometer node" and "production pace should be fast enough for Nintendo to ship more than 20 million units of the console by March next year".Read the full article on nintendolife.com

Easy Motion graphics without Geometry Nodes By Leo-MediaWay on May 20, 2025 Tutorials Leo from MediaWay writes:Geometry nodes can be tough to learn, but... now there's an easier way to create beautiful motion graphics in text and models using offset animations. My tutorial shows you how to create some super easy motion graphic effects in Blender without Geometry nodes for both text animation and product animation using the Blender add-on called Commotion.

Are you an experienced engineer looking for an exciting start-up opportunity in the process of finding PMF?Keep reading!We’re Koast, on a mission to revolutionize Meta media buying with AI-powered workflows. We’re looking for a talented Senior Full-Stack Engineer to join our growing engineering team (currently 2 people!). As the third member of our technical team, you’ll take full ownership of core systems, from data models to production deployments. You’ll play a crucial role in building features that power sophisticated ad campaigns reaching millions of people globally.What You’ll Do DailyBackend MasteryArchitect, implement, and operate our Node.js + TypeScript services - data models through CI/CD - without hand-holding.Front-End CraftsmanshipShip React components using hooks and state libs, nail pixel-perfect UIs, and squash cross-browser quirks.LLM Feature IntegrationDesign prompts, manage streaming, and build rate-limit/cost controls around GPT-class models.End to End Feature LifecycleTake features from spec → prototype → code → deploy → monitor, owning each step without hand-holding.Must-Have Technical ExperienceNode.js & TypeScript (5+ yrs) — you’ve owned production services from spec to scale.React (3+ yrs) — modern hooks, state libs, and deep browser-debug skills.End-to-End Product Mindset — you think in features, not tickets, and drive them all the way home.LLM-Powered Features — hands-on prompt design, streaming integrations, and cost/rate-limit handling.AI-Augmented Dev — Copilot/Cursor (or similar) are your daily co-pilots.Nice-to-Have (Will Make Us Smile)NestJS or another opinionated Node frameworkNext.js / React Server ComponentsDev-ex tooling: GitHub Actions, automated testing, observability, profilingDesign-system fluency: Tailwind, MUI, Chakra, or custom component libsHow You WorkWe live by these values - if they sound like you, you’ll fit right in....Mastery: You push beyond “good enough,” constantly honing your craft.Push the Boundaries: You tackle ambitious challenges and unlock new possibilities.Embrace the Challenge: You collaborate shoulder-to-shoulder when the stakes are high.Responsibility: You own your commitments, deliver on time, and keep teammates aligned.Dedication: You dive head-first into tough problems, iterating until they’re solved.Collaboration: You communicate clearly, share knowledge freely, and build together.Why Koast.ai?Early-Stage ImpactYour work will define our architecture and ship features that 100+ customers rely on every day.AI & Ads at ScaleJoin the frontier of AI-powered media buying - supercharge budgets and decision-making in real time for some of the best ad teams in the world.Growth & OwnershipStart as a contractor, grow into a full-time role, and potentially earn equity.Remote & FlexibleWork from anywhere on your schedule—just deliver high-quality code (and have fun doing it!).🚨 Bonus: Send a 1–2 min video introducing yourself and why this role excites you—we’ll bump you to the top of the stack!Ready to apply?Email your resume, GitHub/portfolio links, and (if you like) that intro video to [email protected] with the subject line “Koast to the moon.” In your email, we’d love to hear how you’ll make an impact here that no “regular” engineer could. That’s it!Can’t wait to build the future of autonomous ad buying with you!Best,The Koast.ai TeamApply NowLet's start your dream job Apply now Meet JobCopilot: Your Personal AI Job HunterAutomatically Apply to Remote Full-Stack Programming JobsJust set your preferences and Job Copilot will do the rest-finding, filtering, and applying while you focus on what matters. Activate JobCopilot

Lamberto GioiaThis nicely done, weathered flagstone pavement, rich in texture and depth, was created by Lamberto Gioia for Room 8 Studio in 32 hours using Substance 3D Designer and Unreal Engine 5.The artist also shared some behind-the-scenes looks at the project, including lighting variations, node graph, and more:Lamberto GioiaLamberto GioiaTake a closer look here and explore more of Lamberto Gioia's material work on his ArtStation:Join our 80 Level Talent platform and our new Discord server, follow us on Instagram, Twitter, LinkedIn, Telegram, TikTok, and Threads, where we share breakdowns, the latest news, awesome artworks, and more.

Frame Node Improvements May 19th, 2025 General Development Jacques Lucke html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd" Larger node setups have a tendency to become hard to understand. One of the main tools at our disposal to organize them are frames. A frame allows grouping nodes together visually and giving them a label. Unfortunately, using frames extensively has been rather annoying for various reasons including hard-to-reach shortcuts (ctrl + J, alt + P, F2), bad readability of nested frames, and various smaller bugs. In an effort to encourage and help users to build more understandable node groups, we designed and implemented various workflow improvements for dealing with frames. These will be available in Blender 4.5 LTS. The F Key The most important functionality related to frames has been moved to the F key, which is easy to reach and remember. It has two main functions: Create a new Frame around the selected nodes, or a new empty frame. This will also open the rename popup where users can start typing right away to set a label. This makes creating labeled frames as easy as it can be, which is good as those help much more with readability than unlabeled frames. Detach and attach selected nodes while transforming them. This makes moving nodes between frames a breeze, unlike before where frames felt like they got in the way. The old functionality has been moved to J. Visualization Improvements Frame Highlighting: It used to be difficult which frame nodes will be attached to while moving them. This has been solved by highlighting the border of the frame under the cursor. Better Labels: Frame labels now sit a bit higher so they’re easier to read. The frame size also adjusts better by considering the full area/bounding box of the nodes inside. Alternating Frame Colors: Frames are quite dark in the default theme, which made nested frames very hard to see (they were essentially black on black). Now, nested frames use alternating shading depending on the nesting depth. The frame color from the theme is used, just slightly darker/lighter. This keeps all frames visible regardless of the nesting level. Frame visualization improvements. “Frame First” Workflow With all of these improvements, working with frames has become much more enjoyable than before. Our hope is that this lowers the barrier to using frames so much that they become more frequently and not just as an afterthought when cleaning it up later on. In fact, I’d even be curious to see how well a “frame first” workflow would work for people. The thought came up when thinking about how when writing code, one usually first writes a function or variable name before writing any of the actual logic. Maybe something similar could work for node systems too, where a labeled frame is created before the first node is added inside. However, it’s not clear yet how well that works in practice right now or if more features would be needed to make that feasible. Let me know! Try It! Download the latest Blender 4.5 LTS Alpha build and test out the new workflow! Support the Future of Blender Donate to Blender by joining the Development Fund to support the Blender Foundation’s work on core development, maintenance, and new releases. ♥ Donate to Blender

You can trust VideoGamer. Our team of gaming experts spend hours testing and reviewing the latest games, to ensure you're reading the most comprehensive guide possible. Rest assured, all imagery and advice is unique and original. Check out how we test and review games here We all know Super Earth is set to be invaded by the Illuminate as even Arrowhead have warned it is inevitable. Previously, gameplay leaks of the Illuminate attacking Super Earth have leaked, and now fresh Helldivers 2 leaks have shown even more of the impending Super Earth invasion, while also providing a long list of Mega Cities set to be attacked. Helldivers 2 leak shows more of the impending Super Earth invasion Prominent Helldivers 2 leaker, Iron_S1ghts, has a Discord dedicated to datamining discoveries. In this Discord, there are some fresh images of the upcoming Super Earth invasion, with SEAF troops accompanying players on the battlefield. In addition to the above images, HD2 YouTuber Thordan Smash has revealed on X that, as per Iron_S1ghts, “In addition to to Super Earth and Cyberstan getting Mega Cities In Helldivers 2 it looks like Klen Dahth II Event planet will also be getting them”. Image credit: @thordansmash on X Lastly, Iron_S1ghts previously shared screenshots showing that there will be various missions for protecting Mega Cities when the invasion of Super Earth lands. Below is a list of Mega Cities discovered by the leaker: GREATER STOROUSE NEW STOROUSE SHED FREE TRADE KESUMA UNGU NO COMPOUND FILIBUSTER NEW TOKYO FARMHANDSTOWN FORT BOUNTY FUTURIA MALLSTRIP NODES BIRTH RECON HEIGHTS SILO A VOTER’S FALLOW SCHOLAR’S MOOR BLESTRAIL HILDOARA CENTRAL VANQUISHMENT FREECREST RESPITE PORT MERCY EQUALITY-ON-SEA PROSPERITY CITY ADMINISTRATIVE CENTER 02 EAGLEOPOLIS REMEMBRANCE YORK SUPREME REBELSGRAVE REFORMED-BY-TRUTH OBEDIENCE We don’t know when the Super Earth invasion is set to happen, but PlayStation Czech Republic may have accidentally leaked May 20th as the date for a next major update called Heart of Democracy. However, this post was quickly deleted by the PlayStation account, so it may not be accurate and there’s always the possibility of internal delays. Iron_S1ghts has said “May 20/21 matches when the illuminate should hit SE,” but “Dates with game updates are typically pretty spontaneous, even internally”. We will just have to wait and see if the update comes out as posted by PlayStation, and we also have to wait and see if we get the leaked new car. For more Helldivers 2, check out our guide to the best warbonds ranked, along with the best stratagems and best throwables. We have also a guide to the best weapons, and, if you’re coming back to HD2 for the first time in a long while, we have a bunch of tips and tricks to help you get reaccustomed to the battlefield. Helldivers 2 Platform(s): PC, PlayStation 5 Genre(s): Action, Shooter, Third Person 8 VideoGamer Subscribe to our newsletters! By subscribing, you agree to our Privacy Policy and may receive occasional deal communications; you can unsubscribe anytime. Share