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

In Theory: will next-gen Xbox run on a Qualcomm Snapdragon ARM processor? And could it really deliver the "largest technological leap ever in a generation". Blog by Richard Leadbetter Technology Editor, Digital Foundry Published on May 19, 2025 Could the next generation Xbox run on an ARM-based processor? The possibility has been mooted ever since Microsoft's FTC-related leak revealed that the firm was investigating which architecture to consider for a circa-2028 console. Would it be x86 or ARM? Would Microsoft collaborate on a custom chip with AMD or tap into the firm's roadmap of upcoming technology? We never found out. However, Microsoft commentator Brad Sams found something interesting last week: a Qualcomm job ad discussing "the next generation of Surface and Xbox products built on Snapdragon solutions". Based on his tweets, Sams believes the upcoming tenth generation Xbox will run on ARM - but how plausible is it? Well, job ads are notorious as a poor sourcing for actual company strategy but can sometimes offer up some insights. This one, for a sales director, seems particularly slight - and after Sams' reporting, the link stopped working, with the ad eventually re-appearing with all Xbox mentions deleted. So is this an unintended leak or just an error? Based on everything we know about how Microsoft works, what its intended strategy is, and its comments on delivering the "largest technological leap ever in a generation", it's difficult to reconcile any of this with the notion of an Xbox console running on Snapdragon hardware. While Qualcomm has achieved incredible success with its Snapdragon processors on mobile phones, its collaboration with Microsoft on the Surface line has so far been unimpressive. I bought a Surface laptop with the fully enabled Qualcomm Snapdragon X Elite, finding that gaming was a mess: the PRISM compatibility layer for running x86 code on ARM was missing key support to the point where many games would not even boot. Meanwhile, GPU performance was frankly awful with tremendous stuttering problems. Xbox and Snapdragon is just one of the many stories within the latest edition of DF Direct Weekly.Watch on YouTube 0:00:00 Introduction 0:00:57 News 1: Nintendo reportedly not sending early Switch 2 review units 0:11:52 News 2: Should we criticize “forced ray tracing”? 0:32:03 News 3: Next-gen Xbox to use Snapdragon ARM chips? 0:43:03 News 4: Assassin’s Creed Shadows devs spill ray tracing revelations 0:59:11 News 5: Days Gone patch brings balanced modes, VRR support 1:13:27 News 6: John tests the Backbone Pro 1:23:23 Supporter Q1: Are we reaching the end of the home console era? 1:29:46 Supporter Q2: Should Halo run on id Tech? 1:38:38 Supporter Q3: Could Doom: The Dark Ages get a PS4 version? A Switch 2 version? 1:41:55 Supporter Q4: What happened to the review of Spider-Man 2 on PC? 1:48:33 Supporter Q5: What are your favourite memories of the Sega Saturn? To base a new Xbox on Snapdragon hardware would see Microsoft facing huge challenges on every front. Interestingly, developing games on CPUs using the ARM architecture is possibly the least onerous problem. After all, developers got to grips quickly with Nintendo Switch, which ran a range of CPU-heavy games. Ultimately, it would all be down to how good the compiler is. Graphics? Well, the latest Snapdragon processors do deliver the modern range of features. The Adreno graphics core does support ray tracing, for example. Snapdragon processors do ship with an NPU (neural processing units) that could have certain gaming applications: the Surface's AutoSR upscaling is a very interesting piece of technology, while an NPU could conceivably handle frame generation too. Where things start to get tricky is with compatibility. It's hard to imagine even the most potent ARM processor being able to emulate the Zen 2 CPU of the Xbox Series X and Series S with the same level of performance - and it's key for Microsoft to be able to assure gamers that its existing library of games will run (and run well) on its new hardware. Similarly, while the DirectX API does a lot of heavy lifting, shifting GPU architectures from one generation to the next is also going to cause problems. For that, there's already a ready-made solution - certainly from the transition from GCN-based graphics in Xbox One and One X to the RDNA tech in the Series consoles, AMD baked in hardware backwards compatibility (which Sony benefits from too). To see this content please enable targeting cookies. Then there's the whole question of what "largest technological leap ever in a generation" actually means and the extent to which a Snapdragon processor could deliver it. Both Microsoft and Sony face a unique challenge in delivering a tenth generation console: firstly, it needs an actual reason to exist bearing in mind how good the existing hardware is - and how limited the gains were with the PlayStation 5 Pro. Secondly, it needs to deliver this generational leap while still being affordable as a console should, which sounds almost impossible bearing in mind that Microsoft had just raised prices on its five-year-old consoles. Ironically, it's PlayStation 5 Pro that gives us some idea of where the platform holders are heading: sacrificing a much larger GPU in favour of ray tracing support and (inevitably) machine learning hardware. Moore's Law may be alive, but the concept of cramming larger amounts of transistors - more logic - onto the same area of silicon is no longer cost effective. Microsoft itself knew this would happen, hence the creation of Xbox Series S, which as this classic DF interview reveals, essentially came about because the engineers could not foresee a scenario where Series X could be cost-reduced over the generation. By confirming a tenth generation console, Microsoft and indeed Sony seem to have made the costs work for a future process node (TSMC 3nm being a likely prospect), but costs will be tight - and similar to PS5 Pro, expect that silicon budget to be less about extraordinarily large graphics hardware and more about a balance between graphics, RT and ML. Not much is known about AMD's roadmap going forward but the unified UDNA graphics architecture (or a customised version of it) seems much more likely. There's nothing to stop ARM being combined with UDNA on an architectural level, but remember, compatibility is king in a world where persistent digital libraries are so important and in that scenario, ARM is more hindrance than help. And going back to the Qualcomm job ad, remember that the definition of Xbox is somewhat fluid. Is there any reason why a Surface device running the Xbox app isn't an Xbox in the "this is an Xbox" era? With a planned mass diversification of Xbox devices, there's plenty of room for a Snapdragon device of some description - and not just within the Microsoft Surface line.

Blender Artist M-Cuu, who impressed us with Sumi-e-style 3D dragon model and Kirby's Meta Knight and Wing Kirby fan works, has recently started a new series focused on Pokémon fan art, even giving us a small peek at how the visual effects are drawn to complete each piece.Sadly, the artist hasn't shared much about their workflow yet, but it'd be great to know more. Meanwhile, take a look at Greninja with a similar water-breathing effect, plus a cute Squirtle and Bulbasaur:Check out M-Cuu's older Pokémon and Okami fan art and follow them on X/Twitter:Don't forget to 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.

AI is transforming industries worldwide, and its growing impact on digital finance is becoming significant. One of the most intriguing applications of AI lies in the analysis and forecasting of the Bitcoin price in USD – a notoriously volatile metric that traditional financial models struggle to predict. Today, AI is helping decode cryptocurrency’s complexities with speed and precision.From deep learning networks and sentiment analysis to real-time anomaly detection, AI technologies are shaping how investors, institutions and platforms understand and respond to Bitcoin’s dynamic movements.Predicting Bitcoin with deep learningBitcoin has evolved into a global platform operating through numerous nodes around the world. Each node creates further data, like trading volume, volatility and price changes, alongside other trade-related documentation. All this serves as the basis for training deep learning frameworks.Forecasting Bitcoin prices using recurrent neural networks (RNNs) is particularly effective due to the use of Long Short-Term Memory (LSTM) networks. LSTMs excel at capturing long-term dependencies in time series data, making them ideal for handling the complex and dynamic nature of Bitcoin’s real-time price movements. The ability to remember and learn from previously observed patterns allows LSTMs to model the statistical behaviour of Bitcoin prices over time.A recently published study in Forecasting (2024) proposed a hybrid model for predicting Bitcoin prices by incorporating LSTM with attention mechanisms and gradient-specific optimisation. The study boasts an impressive accuracy of 99.84%. Advanced deep learning strategies in financial forecasting, as this study suggests, are superior to those found in traditional models.Using NLP to decode market emotionsNatural Language Processing (NLP) tools help cryptocurrency investors analyse real-time, unstructured data to understand market sentiment and investor behaviour.In 2023, a study posted in arXiv introduced an end-to-end model for forecasting sentiment of tweets together with price prediction. The model employs a BERT-based neural network for sentiment analysis and a GRU for price forecasting. The study claims that by integrating sentiment analysis and deep learning, the cryptocurrency market can be predicted with greater accuracy. The mean absolute percentage error of 3.6% shows the potential in the synergy of both domains.Spotting market anomalies with unsupervised AIUnsupervised learning techniques, like clustering algorithms and autoencoders, are particularly effective at anomaly detection in the cryptocurrency space. Especially in tumultuous markets like Bitcoin, where discerning unpredictable patterns is key, such tools excel at detecting unexpected patterns.Models can flag possible scenarios of flash crashes, price manipulations and other sophisticated activities on the exchange by monitoring real-time market data against historical market data. For instance, if Bitcoin’s price in USD drops sharply while asset dependencies remain constant, AI can detect the outlier and notify human traders or activate protective protocols.Mining blockchain data for AI insightsActive addresses provide one of the most significant advantages of Bitcoin – the transparency of its blockchain. On-chain data enables real-time monitoring of network activity and participant behaviour, like the number of active addresses, hash rate, wallet distributions, and transaction volumes.AI models can analyse such data to identify large-scale trends. For instance, in the previous bull runs, a surge in wallets containing 1-10 BTC (commonly associated with retail investors) was observed. Relatively, declines in miner flows to exchanges can predict supply restrictions.Reinforcement learning models are being taught to predict the impact of on-chain movements on Bitcoin’s market value. A hybrid of blockchain analytics and machine learning is redefining how analysts build predictive models based on clear, accessible public data.The new AI bots break down market bordersArtificial intelligence has increased its foothold in cryptocurrency markets through autonomous trading systems. Unlike older trading bots that had a set checklist to complete, modern bots are highly sophisticated and employ flexible plans based on real-time data.Modern AI bots don’t just follow trends; they consider various factors influencing market prices. AI bots shift from trend-following to mean reversion and take into account price shifts and technical indicators. Some bots can simulate market conditions each second to determine statistically-reasonable points for investment.Ethical and technical problems surrounding AI application on cryptocurrencyImplementing AI in cryptocurrency trading can be risky, although rewarding. Assurance over-fitting remains an issue, as builds driven by historical data are less reliable with remaining black swans or unexpected changes in regulations.Coordinated bot networks pose significant risks to trading volume and market sentiment. For this reason, many platforms have focused on publishing algorithmic audit trading reports for transparency and establishing ethics teams to mitigate any misuse of AI technologies.Explanatory frameworks of AI models, like model transparency and accountability, are particularly important in applications related to finances because of the enormous risks involved and the fragile trust of users.April 2025 updates: Bitcoin and AI integrationIn April 2025, Glassnode reported that addresses holding between 1,000 and 10,000 Bitcoin surged to 2,014, up from 1,944 in early March. The increase in this number of “whales” has been accumulating since April 2024, suggesting that there is confidence returning from major holders.Brief reflection: Bitcoin assessments enter the AI eraAnalysing and predicting the dynamics of Bitcoin and its price in USD through artificial intelligence is a trend that is here for the long run. It will be an essential part of strategy when dealing in cryptocurrency markets. AI provides unprecedented opportunities in financial market analysis through neural networks, mining on the blockchain, business behavioural prediction and creation of risk models.For AI specialists, this might represent the only practical example of having a blend of ultra-high-frequency data, actual working scenarios and comprehensive public systems that encourage collaboration. For the rest of us, we are shown a reality of being surrounded by systems that optimise buying and selling at lightning speeds.(Image source: Unsplash)

Intel demoed working Panther Lake silicon for laptops, its first chips based on its crucial 18A process node, here at Computex 2025 in Taipei, Taiwan.

Menu Home News Hardware Gaming Mobile Finance Deals Reviews How To Wccftech HardwareIndustry AMD Claims TSMC’s 2nm Process Is Superior To All Alternatives Out There; Reveals Possibility of Adopting Samsung As Well Muhammad Zuhair • May 18, 2025 at 05:57am EDT AMD is one of the first customers of TSMC's 2nm, and the firm declared the Taiwan giant the winner in the 2nm race, claiming that no other foundry matches the process. AMD Is The First Customer of TSMC's 2nm Process And Will Employ It For Their Next-Gen EPYC Venice CPUs The semiconductor industry is currently battling out for the 2nm process, and this time, the competition is a lot tighter, given that firms like Intel and Samsung have shown significant progress with their respective cutting-edge processes. Companies like NVIDIA and Apple are out in the market looking for a second "foundry partner", but it seems like no one can replace TSMC, at least for now. According to an interview with AMD's Senior Vice President (via Chosun Biz), it is revealed that AMD regards TSMC's 2nm node as the superior option out there. We are developing the processor (EPYC Venice) and will officially launch it in the market next year. TSMC is the leader in the 2nm process, so we are focusing on developing and mass producing it with the highest efficiency per watt and semiconductor performance. For those unaware, AMD revealed a few weeks ago that it was the first TSMC customer to utilize the 2nm process, and the firm's CEO, Lisa Su, herself, went to the Arizona facility in order to disclose the announcement. Team Red has become the first company to publicly adopt the N2 process, which shows that the node holds significance, and it will be in action with AMD's EPYC Venice server CPUs, which are slated to launch next year. Talking about the datacenter segment, AMD's SVP revealed that the company has made significant strides, seeing the business grow by 57% in the first quarter of 2025, and growth is expected to remain consistent. AMD also plans to expand its offerings to the mid-to-low end market segment with their latest EPYC 4005 "Grado" server CPUs, which are expected to boost the firm's adoption fo server CPUs moving into the future. On discussing the possibility of employing 2nm from a foundry other than TSMC, AMD's SVP didn't rule out the option, revealing that they are always in talks with companies who can collaborate and deliver the "best services to customers". So it is safe to say that AMD isn't in an exclusive partnership with TSMC; rather, the firm has options open, and the likely candidate after the Taiwan giant would likely be Samsung Foundry. Subscribe to get an everyday digest of the latest technology news in your inbox Follow us on Topics Sections Company Some posts on wccftech.com may contain affiliate links. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com © 2025 WCCF TECH INC. 700 - 401 West Georgia Street, Vancouver, BC, Canada