Since its announcement in January, anticipation has been building for the Nintendo Switch 2 – the followup to the gaming titan’s most successful home console, the 150m-selling Nintendo Switch. Major console launches are rarer than they used to be; this is the first since 2020, when Sony’s PlayStation 5 hit shelves. Whether you’re weighing up a purchase or just wondering what all the fuss is about, here’s everything you need to know.The basicsThe Switch 2 is out today, 5 June, priced at £395.99 (US$449.99/A$699/€469.99) or at £429.99 (US$499.99/A$766/€509,99) bundled with its flagship game, Mario Kart World. Like its predecessor, it’s a portable games machine with a built-in screen – you can use as a handheld mini-console when you’re out and about, or slide it into the dedicated dock device and plug it into your TV via an HDMI cable for a big-screen experience at home. A little bigger than the original Switch, with a crisp, clear 7.9in LCD touch screen, as opposed to the old 6.2in display, it comes with two Joy-Con controllers, which are chunkier than the previous versions. These now attach magnetically to each side of the screen with a pleasing clunk, replacing the fiddly sliding mechanism that most Switch owners disliked. They’ve also got bigger L and R buttons on the top, which sounds like a minor detail but is a huge deal for anyone trying to perfect their Mario Kart power-slides.The specBig tech advances … Nintendo Switch 2. Photograph: NintendoThe tech inside the Switch 2 is a lot more advanced than the previous console, featuring a custom nVidia processor, and a screen capable of displaying at 4K resolution (when plugged into a compatible TV) or 1920x1080 resolution in portable mode. It’s also got 5.1 surround sound, and supports high-dynamic range lighting (HDR) graphical effects at frame rates of up to 120hz. This brings the Switch 2 almost up to scratch with other modern consoles: most experts are placing its tech specs somewhere between the PS4 and PS5, or between Xbox One and Xbox Series X.In the boxThe Nintendo Switch 2 comes with the console itself, two Joy-Con controllers, a power adaptor and USB-C charging cable, a dock, a Joy-Con grip (which allows you to connect the two Joy-Cons together to create a traditional-looking games controller), and two Joy-Con wrist straps to stop them flying out of your hands.Out of the boxNintendo is going big on the social features of the console. Its GameShare function will allow you to play compatible games with other people who don’t own a copy – they just need their own Switch or a Switch 2, and can play along in the room with you or connect online. This is particularly important for families sharing one copy of a game. Meanwhile, GameChat is kind of like Zoom, but for games: you can invite a bunch of pals into a group video chat session where you can talk to each other while playing the same game, playing different games, or just hanging out. If you all buy the Nintendo Switch 2 Camera you’ll be able to see little video windows of each other on the screen, too. GameChat requires a paid subscription to Nintendo’s online gaming service, which costs £17.99 (US$19.99/€19.99/A$29.95)The gamesBig news … Mario Kart World game. Photograph: NintendoThe console is launching with around 25 games, though many of these are enhanced versions of older Switch titles. The big newcomers are Mario Kart World, an open-world take on the classic karting game; the introductory game Nintendo Switch 2 Welcome Tour; the co-op survival challenge Survival Kids and anti-gravity racer, Fast Fusion. Some favourites making it across are Fortnite, Cyberpunk 2077 and The Legend of Zelda: Breath of the Wild/Tears of the Kingdom. Most games will retail for between £45–£70 and will be available to buy and download online, or as physical boxed copies. You can also still play almost all your old Switch games on the new console, and there’s a huge back catalogue of retro NES, Nintendo 64, SNES and GameCube classics from the 1980s, 90s and 00s available to play with a Nintendo Switch Online subscription.The accessoriesAdd-ons … Nintendo Switch 2 Pro controller and camera. Photograph: NintendoThere are three things you may want to buy alongside the console. The Nintendo Switch 2 Pro controller is a traditional console joypad intended for serious play. Then you have the Nintendo Switch 2 camera, basically a webcam compatible with the GameChat service, but also with any games that might use camera features. You may also want a microSD Express card to provide additional storage for your games.Where can I buy one?If you haven’t pre-ordered, you may have to be patient and shop around. Some of the larger retailers including Amazon, Argos, Currys and John Lewis are saying they may have a few in stock today and it’s worth trying Nintendo’s online store. Be extremely wary of buying from private sellers on eBay or similar sites – there will be a lot of con artists out there. Remember when people found their PlayStation 5 deliveries were instead full of bags of rice?

Text embedding and reranking are foundational to modern information retrieval systems, powering applications such as semantic search, recommendation systems, and retrieval-augmented generation (RAG). However, current approaches often face key challenges—particularly in achieving both high multilingual fidelity and task adaptability without relying on proprietary APIs. Existing models frequently fall short in scenarios requiring nuanced semantic understanding across multiple languages or domain-specific tasks like code retrieval and instruction following. Moreover, most open-source models either lack scale or flexibility, while commercial APIs remain costly and closed. Qwen3-Embedding and Qwen3-Reranker: A New Standard for Open-Source Embedding Alibaba’s Qwen Team has unveiled the Qwen3-Embedding and Qwen3-Reranker Series—models that set a new benchmark in multilingual text embedding and relevance ranking. Built on the Qwen3 foundation models, the series includes variants in 0.6B, 4B, and 8B parameter sizes and supports a wide range of languages (119 in total), making it one of the most versatile and performant open-source offerings to date. These models are now open-sourced under the Apache 2.0 license on Hugging Face, GitHub, and ModelScope, and are also accessible via Alibaba Cloud APIs. These models are optimized for use cases such as semantic retrieval, classification, RAG, sentiment analysis, and code search—providing a strong alternative to existing solutions like Gemini Embedding and OpenAI’s embedding APIs. Technical Architecture Qwen3-Embedding models adopt a dense transformer-based architecture with causal attention, producing embeddings by extracting the hidden state corresponding to the [EOS] token. Instruction-awareness is a key feature: input queries are formatted as {instruction} {query}<|endoftext|>, enabling task-conditioned embeddings. The reranker models are trained with a binary classification format, judging document-query relevance in an instruction-guided manner using a token likelihood-based scoring function. The models are trained using a robust multi-stage training pipeline: Large-scale weak supervision: 150M synthetic training pairs generated using Qwen3-32B, covering retrieval, classification, STS, and bitext mining across languages and tasks. Supervised fine-tuning: 12M high-quality data pairs are selected using cosine similarity (>0.7), fine-tuning performance in downstream applications. Model merging: Spherical linear interpolation (SLERP) of multiple fine-tuned checkpoints ensures robustness and generalization. This synthetic data generation pipeline enables control over data quality, language diversity, task difficulty, and more—resulting in a high degree of coverage and relevance in low-resource settings. Performance Benchmarks and Insights The Qwen3-Embedding and Qwen3-Reranker series demonstrate strong empirical performance across several multilingual benchmarks. On MMTEB (216 tasks across 250+ languages), Qwen3-Embedding-8B achieves a mean task score of 70.58, surpassing Gemini and GTE-Qwen2 series. On MTEB (English v2): Qwen3-Embedding-8B reaches 75.22, outperforming other open models including NV-Embed-v2 and GritLM-7B. On MTEB-Code: Qwen3-Embedding-8B leads with 80.68, excelling in applications like code retrieval and Stack Overflow QA. For reranking: Qwen3-Reranker-0.6B already outperforms Jina and BGE rerankers. Qwen3-Reranker-8B achieves 81.22 on MTEB-Code and 72.94 on MMTEB-R, marking state-of-the-art performance. Ablation studies confirm the necessity of each training stage. Removing synthetic pretraining or model merging led to significant performance drops (up to 6 points on MMTEB), emphasizing their contributions. Conclusion Alibaba’s Qwen3-Embedding and Qwen3-Reranker Series present a robust, open, and scalable solution to multilingual and instruction-aware semantic representation. With strong empirical results across MTEB, MMTEB, and MTEB-Code, these models bridge the gap between proprietary APIs and open-source accessibility. Their thoughtful training design—leveraging high-quality synthetic data, instruction-tuning, and model merging—positions them as ideal candidates for enterprise applications in search, retrieval, and RAG pipelines. By open-sourcing these models, the Qwen team not only pushes the boundaries of language understanding but also empowers the broader community to innovate on top of a solid foundation. Check out the Paper, Technical details, Qwen3-Embedding and Qwen3-Reranker. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Asif RazzaqWebsite |  + postsBioAsif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.Asif Razzaqhttps://www.marktechpost.com/author/6flvq/A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and GeminiAsif Razzaqhttps://www.marktechpost.com/author/6flvq/From Clicking to Reasoning: WebChoreArena Benchmark Challenges Agents with Memory-Heavy and Multi-Page TasksAsif Razzaqhttps://www.marktechpost.com/author/6flvq/Mistral AI Introduces Mistral Code: A Customizable AI Coding Assistant for Enterprise WorkflowsAsif Razzaqhttps://www.marktechpost.com/author/6flvq/NVIDIA AI Releases Llama Nemotron Nano VL: A Compact Vision-Language Model Optimized for Document Understanding

Business Development Associate, eCommerceAppLovinToronto30 minutes agoApplyAbout AppLovinAppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.About AppLovin’s eCommerce TeamAppLovin is the market leader in performance advertising for mobile games. In 2024, we expanded into the ecommerce space, enabling brands to reach 150M+ U.S. daily active users in a variety of mobile games—scale that rivals the largest social platforms. In Q4, we reached a $1 billion annual run rate in gross advertiser spend in the ecommerce category alone.Learn more about our fast-growing ecommerce beta: https://ecomm.applovin.com/AppLovin's global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our customers around the world. We are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.About the RoleWe are seeking a driven, analytical, and results-focused Analyst, Business Development to join our fast-paced and expanding eCommerce team. This is a unique opportunity to shape a new business line from the ground up and work at the intersection of performance marketing and business development within the rapidly growing eCommerce space.In this client-facing role, you’ll partner with eCommerce brands to unlock growth by leveraging AppLovin’s marketing platform. You’ll build strong relationships with key stakeholders, help them optimize campaigns, and lead strategic initiatives that drive business outcomes. You’ll also work closely with AppLovin leadership and product experts to evolve our eCommerce advertising solution and drive adoption in the market.ResponsibilitiesOnboard eCommerce brands to our platform and educate them on AppLovin’s eCommerce growth solution.Understand what matters most to your partners and drive an action plan for their growth.Set up new campaigns for success by leveraging best practices for creative and performance targets.Define and analyze metrics to ensure success for our eCommerce partners.Become an expert on AppLovin’s mobile advertising products for eCommerce brands.Partner with the broader AppLovin Business Development team in the region.Basic Qualifications1-3 years of professional experience.Bachelor's degree or higher in related fields.Self-starter and eager to learn.Demonstrate outstanding analytical ability and strategic grasp of the “big picture”.Exceptional communication skills and clearly able to communicate concepts and ideasHave experience prioritizing competing demands.Flexible team-player who can use drive, creativity, and initiative to move the organization forward.Demonstrated experience in handling large data sets, with a strong ability to analyze complex data and identify actionable patterns to drive strategic decision-making and optimize client outcomes.Proven interest in technology. Whether you’re an early adopter of gadgets, or an Excel whiz, or took a computer science class in school and loved it, we are a high tech and big data company where you will constantly have the opportunity to contribute business and product ideas.Preferred QualificationsExperience in the e-commerce space and brand operations.A basic understanding of programming or scripting.A basic understanding of image and video editing software.Understanding of models for intelligent decision making, such as game theory, chess, or poker.AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here.Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. Create Your Profile — Game companies can contact you with their relevant job openings. Apply

Google says it will commit up to $150 million to the consumer eyewear company Warby Parker to jointly develop AI-powered smart glasses based on Android XR, the companies said on Tuesday during Google I/O 2025. Google has already committed $75 million to Warby Parker’s product development and commercialization costs, the companies said in a press release. Google says it will invest an additional $75 million, taking an equity stake in Warby Parker, should the eyewear manufacturer meet certain milestones. At Google I/O 2025, Google also announced partnerships with several companies to develop smart glasses with Gemini AI and AR capabilities, including Samsung and Gentle Monster. Google seems to be taking a page out of Meta’s smart glasses strategy. Meta has found success partnering and investing in the Ray-Ban maker EssilorLuxottica to develop its smart glasses. Part of the reason behind Ray-Ban Meta’s success is that the smart glasses have an attractive, familiar design and they’re being sold in Ray-Ban stores. It seems likely that Google will have a similar relationship with Warby Parker, taking advantage of the eyewear company’s popular frame designs and perhaps its retail stores. In the press release, Warby Parker and Google said they intend to launch a series of products over time. Their first line of eyewear will launch “after 2025” and will incorporate multimodal AI with prescription and non-prescription glasses. Topics

We're glad to see everyone enjoying Apocalypse Rising! It's been three weeks since release and this marks our first major balance pass! We are also releasing the modding SDK so users can look into our tools for custom projects! Posted by FRAYDO on May 16th, 2025 We are glad to see everyone playing and enjoying Apocalypse Rising so far! It has been three week since release and this update marks our first major balance pass. The initial feedback has reported that the "Allies are overpowered", and we aim to address that notion with this major patch. This post will include patches 0.9.0.1 through 0.9.0.5 in descending order to describe everything that has been adjusted since our release. At the bottom of this post, after all of the patch notes, we are also including information on the release of our Modding SDK! Patches 0.9.0.3 - 0.9.0.5 There are three patches here because we ran internal testing before settling on the final build (0.9.0.5) Based on game experience and player feedback, it was identified that the Allies were winning the majority of the games. This patch brings the Soviets up to compensate whilst also nerfing some key Allied units. Soviet will now have more of a chance in the face of the Allied teamwork machine. Bug Fixes Fixed several crashes reported by players via crash dumps (thank you!) Fixed Nvidia App "game filters" crashing the game Keyboard keys no longer get stuck when the window loses focus (e.g. Alt+Tab would leave Alt stuck) Less hitching when units spawn Fixed an issue relating to Chrono Miner Objective Markers Performance has been improved by optimizing some game objects General Changes Team remixing/rebalancing logic was re-implemented to improve team variety for players from match to match Players can no longer refill when in combat. Players can now set max FPS to any value instead of an arbitrary selection Bots can path their way out of buildings now (mostly) Mesh optimizations have been applied to the War Factories and Refineries. The legacy "Battlefield Key Success Tips" document has been removed from the game. Several PT icons have been updated Reinforcement Bays are no longer targetable by enemies. Kill messages: Grand Cannon kill strings no longer fill the feed on FreezingStraits. Added crushed kill string. Revolver kill string has been added to the nagant. Shotgun kill string has been added to the shotguns. Map Changes Fort Bradley: Fixed a bunch of buildings, improving performance and removing ngons Adjusted some of the building roofs to prevent degenerate gameplay FreezingStraits: Added visible boundary stripes. The hills behind the bases are now considered out of bounds. Removed a chunk of terrain sticking into the Radar Tower basement. LittleBigLake: Fixed a floating rock on the cliff behind the Allied base. SnowBound: The cliff to the northwest of the Allied base is now considered out-of-bounds. Fixed a couple texture seams at the main road north of the Allied base. Updated the screenshot on loading screen. Updated the overhead map. Dune Patrol: Adjusted out of bounds area to prevent degenerate gameplay General Balance Changes The targeting ranges of several weapons were increased by 3m in order to for units to be able to target enemies a little way before they are actually in range. Lock-on untrack time increased: 1.25s -> 1.75s Prevented some map objects from being locked onto (i.e. Bridge repair Huts) Deployed Infantry Damage Resistance Reduced: 50%->40% Damage from Explosions now affects Mines, C4 and Dynamite Infantry that are crushed by vehicles now register on the kill feed Proximity Mines are now placed at the player's feet. This is in order to prevent mines from being placed on walls and in other weird places. All thrown cooldown-based weapons now autoswap back to the unit's Primary after being used. i.e. After using Molotovs, the Conscript will switch back to it's PPSH automatically Dogs can now reload their bite and bark weapons whilst sprinting. Allies Guardian GI Secondary Fire now shoots a missile that does not lock-on Rocketeer Jetpack Cooldown increased 1s->2s Projectile Damage Reduced: 25->20 Projectile Explosion Damage Outer Radius Increased: 3m->3.25m Projectile Explosion Damage Inner Radius Increased: 1.5m->2m Sniper Projectile Range Decreased: 350m -> 220m Corrected Damage Falloff Range (Within the last 50m of range, the damage falls off by around half) Navy SEAL Projectile Warhead changed: Bullet -> Bullet Anti Infantry This change nerfs the MP5N vs armoured targets Primary Projectile Damage: 15->14 Primary Projectile Spray angle Increased: 0.24°->0.75° Secondary Projectile Damage: 15->14 Secondary Projectile Burst Delay time: 0.12s->0.15s Secondary Projectile Spray angle Increased: 0.1°->0.5° C4 Inventory Count Reduced: 2->1 C4 Explosion Damage Increased: 60->90 Tanya Projectile Damage Increased: 20->22 Projectile Rate of Fire Increased: 6->12 Weapon now fires in 2 round bursts Weapon Clip Sized Increased 18->36 Tanya is supposed to be holding two pistols, so this new clip size aims to reflect that C4 Range: 5m->10m IFV Guardian GI Range Decreased: 120->115 Seal Damage Increased 12->14 Rate of Fire Increased 14->16 Range Increased 95m->115m Sniper Changed Warhead form Bullet_AV to Bullet_AI Projectile Damage: 102 -> 100 Projectile Range: 300 -> 275 Corrected Damage Falloff Range (Within the last 50m of range, the damage falls off by around half) Mirage Tank Range Decreased: 115->110 Prism Tank Projectile Range Increased 145m->150m Tank Destroyer Projectile Range Decreased: 135m->120m Cost Increased: 900->1000 Howitzer Adjusted the model so that it looks less like the Tank Destroyer Harrier Projectile Range Decreased: 130m->120m Black Eagle Projectile Velocity Decreased: 120->100 Projectile Range Decreased: 130m->120m Soviets Crazy Ivan Grenade Launcher Explosion Damage Increased: 50->75 Large Dynamite Inventory Count Reduced: 2->1 Large Dynamite Explosion Damage Increased: 60->90 Terrorist Self Explosion Damage Inner Radius Increased: 4m->6m Weapons are now hidden when not being held. Boris Airtsrike Timer Reduced: 15s->12s Terror Drone The physics have been altered for better handling and cliff climbing performance Jump Height Increased: 12->15 Flak Track Has a new model! Weapon Reload Time: 1.5s ->1.25s Primary Projectile Damage Decreased 33->30 Secondary Projectile Velocity Increased: 400->500 V3 Rocket Launcher Projectile Velocity Decreased: 112->90 Projectile Gravity Increased: 7.0->3.75 Projectile Extension Adjusted Explosion Damage Inner Radius Increased: 10m->12m ***TOTAL RANGE IS AROUND 230m*** Tesla Tank: Weapon handling adjusted to reduce the arc of fire overall Demo Truck Cost Reduced: 1500->1400 Explosion Damage Increased: 400->500 Radiation Radius Increased: 24m->30m Apocalypse Tank Cannon Velocity Increased 250m/s->275m/s Missile Range Increased 135m->140m Missile Lock-on Time Decreased: 1.25->2 Missile Turn Rate increased: 350°/s->420°/s Siege Chopper Model updated with Rotor Blur Cameras re-worked Physics altered to make the controls more responsive Projectile Explosion Damage Outer Radius Increased: 1.5m->2.5m Projectile Explosion Damage Inner Radius Increased: 1m->1.85m Kirov Airship The Kirov now takes half as much damage from all non-AA weapons Points Given on Death: 200 -> 175 MG Damage Increased: 10->11 MG Spray Decreased: 1°->0.9° Bomb Impact Damage Increased: 110->125 Explosion Damage Increased: 100->110 Patch 0.9.0.2 This patch introduced more fixes and altered the balance of some of the most egregious units ingame. Bug Fixes Fixed a crash when spotting a disguised Mirage Tank as an Attack Dog, Tentatively fixed an exploit where GIs and GGIs could become invincible after using a parachute General Changes Added Siege Chopper Weapon Strings, Removed a Projectile Blocker from the doors of the Allied Power Plant Elm and Aca trees now have less upper branch projectile collision Fixed Allied Supply Truck and Siege Chopper entry/exit zones Fixed Shotgun Scaling Terror Drones and Robot Tanks now tell the pilot that the vehicle will be killed if they leave it Added a missing texture fron the loading screen AI turrets on the Battle Fortress and War Miner will now search for targets Terror Drone now has an attack sound Desolator Weapons no longer leave black marks everywhere New Soviet Technician PT Icon Re-ordered the infantry purchase list When using Artillery Auto-Aim feature when out of range, the auto aim will now adopt the max weapon elevation Updated the Credits Map Changes Little Big Lake: Fixed a hole in the ground by the Allied base. Adjusted pathfinding for Harvesters. Dune Patrol: Removed out-of-bounds lines in the small infantry tunnel next to the Soviet base. Snowbound: Added more ground clutter New terrain textures Added some rocks Fort Bradley: Fixed a bunch of NGons on the Urban Buildings Balance Changes The Attack Dog's Bark can now pierce through multiple targets Engineer + IFV Repair Reduced: 0.65 -> 0.6 Technician + IFV Repair Reduced: 0.32 -> 0.3 Technician IFv Self Healing Halved Deployed Infantry now take 50% less incoming damage from all sources (was inconsistent beforehand) AA Flak Damage vs Helicopters Increased Sniper IFV Laser now uses the correct range Patch 0.9.0.1 Released shortly after the game launched, this patch contained key fixes to the game. Bug Fixes Fixed a Server Crash that was sometimes occurring when a player added a vehicle to the queue and then left the server Siege Chopper can no longer deploy in mid-air Siege Chopper animation has been fixed Fixed an issue with Fort Bradley where Allies were getting 500 free points at the start of the match Fixed some graphical issues with Fort Bradley General Changes Added Siege Cameras to the V3 Launcher and Howitzer Added Encyclopaedia entries for the weapons and infantry Ricardo Engineer credit to Scorched Earth! Check out his RA2 and Apocalypse Rising videos on his YouTube channel! Youtube.com Over the course of these past few weeks, we have heard several requests from our players to release the tools for the game so they can make mods, dive into unit statistics, and translate the game into various languages. We are proud to announce we've made the modding SDK available here: Gitlab.com Whenever we release we will aim to update the tools to match the latest public version, much like we do with the server (also found here: Gitlab.com). If you're looking for tutorials and documentation, we have a wealth of info in our Tutorials forum but also on Tacitus, which is our documentation resource. Links below the image. Tacitus: Documentation Tutorials: W3D Tutorials Over time we will aim to add more to these tools, like pieces of example content and maps for you guy to dissect. In the meantime though, we can't wait to see what you'll all end up making and if you need any help creating things, please feel free to reach out to us over Discord! Found here: Discord.gg Keep 'Em Coming! That's all for now. Please feel free to leave your feedback and report bugs in our Discord and on our forums. We've got eyes on both platforms, so we'll make sure that every point gets a fair shake. Thanks again for supporting the game and our community! - The W3D Hub Team