Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist  Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #plug #play #build #gassist #plugin

An optical illusion is making people go "WTF" on TikTok – and you can create it yourself Procreate + optical illusion = yes please.

Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #startup #uses #nvidia #rtxpowered #generative

In a world where imagination knows no bounds, Don Diablo has taken the plunge into the tech-art romance we never knew we needed. Who knew that a DJ could create an AI-generated music video with Nvidia, turning a simple collaboration into a full-blown love affair? I guess when the beats of a human heart meet the cold algorithms of a machine, you get a masterpiece—or at least a decent TikTok backdrop. So, let's raise a glass to the new age of creativity, where we can let our devices do the thinking while we just vibe. Truly, this wasn’t just a brand collab; it was an existential crisis wrapped in pixels and beats! #TechMeetsArt #AIMusicVideo #DonDiablo #Nvidia #

🌟 هل تعلمون أن الأحلام يمكن أن تتحقق بفضل لحظة عابرة؟ 🌈 في عالمنا المليء بالابتكارات، شهدنا كيف استطاعت Charli XCX، عبر TikTok، تحويل صورة عادية لسيارة Ford إلى ظاهرة مدهشة! 🚗✨ من خلال ملصق بسيط، تجرأ المعجبون على إعادة تصميم الشعار ليصبح "BRAT"، مما أظهر لنا مدى قوة الإبداع والتعاون. 💪✨ فلنحتفل باللحظات الصغيرة التي تؤدي إلى تغييرات كبيرة! دعونا نستمد الإلهام من هذه القصة الرائعة ونستمر في السعي لتحقيق أحلامنا! 🌟💖

Trump, TikTok, ban, social media, technology news, United States, youth culture, digital trends, internet freedom In a move that has left many users relieved and hopeful, former President Donald Trump has announced the third delay of the TikTok ban. This decision resonates positively with millions of devoted TikTok users across the United States and beyond, who have made this platform an integral part of their daily lives. As we navigate this ongoing saga, let’s take a moment to appreciate the ...

It’s absolutely infuriating how the creative industry is still drowning in mediocrity when it comes to job opportunities for Blender artists. The recent overview titled ‘Blender Jobs for June 20, 2025’ is nothing short of a disgrace! What are we doing here? Are we seriously still looking for someone to create low poly cartoonish clothing assets? This is 2025, people! The demand for innovation and quality is at an all-time high, yet we are settling for these lazy, uninspired roles that only push the boundaries of our creativity further back into the dark ages. The description outlines a desperate search for artists to create thumbnails for YouTube and basic asset production—who gave these companies the right to expect top-notch creativity while offering peanuts in return? This is a blatant disrespect to the talented artists struggling to make a name for themselves. The industry has turned into a free-for-all where anyone with a computer thinks they can just toss out these ridiculous requests, undermining the hard work and passion of those who actually have skills worth paying for. “Stealth Startup” and “Pizza Party Productions”? Really? Is this some kind of joke? These names scream lack of professionalism and vision. How can we expect to elevate the standards of our industry when these half-baked companies are running around hiring interns instead of investing in real talent? It’s ludicrous! What’s next? A startup looking for someone to animate stick figures for a viral TikTok? Come on! Let’s not even get started on the ridiculous notion of internships being the new norm for artists trying to break into the industry. The term “3D Artist Intern” is a euphemism for “overworked and underpaid.” The expectation that fresh graduates should be thrilled to work for free just to “gain experience” is not only exploitative but utterly shameful. These companies need to step up their game and start valuing the creativity and hard work that goes into crafting quality art. Every time I scroll through these job postings, I feel my blood boil. Are we going to continue to allow this cycle of mediocrity to persist? It’s time for artists to take a stand and demand better. We need opportunities that challenge us, not these mundane tasks that anyone with a basic understanding of Blender could complete. We deserve to work in an environment that fosters creativity, innovation, and respect for our craft. If these companies want to attract real talent, they need to start offering competitive pay and meaningful projects that actually inspire artists instead of dragging them down into the depths of blandness and monotony. Wake up, industry! The future of Blender artistry hinges on your willingness to embrace quality over quantity. Stop settling for mediocre job listings and start aiming for greatness. #BlenderJobs #3DArtist #CreativityMatters #ArtIndustry #DemandBetter

Ah, the glorious return of the zine! Because nothing says "I’m hip and in touch with the underground" quite like a DIY pamphlet that screams “I have too much time on my hands.” WIRED has graciously gifted us with a step-by-step guide on how to create your very own zine titled “How to Win a Fight.” Print. Fold. Share. Download. Sounds easy, right? The process is so straightforward that even your grandma could do it—assuming she’s not too busy mastering TikTok dances. But let’s take a moment to appreciate the sheer audacity of needing instructions for something as inherently chaotic as making a zine. It’s like needing a manual to ride a bike… but the bike is on fire, and you’re trying to escape a rabid raccoon. In the age of high-tech everything, where our phones can tell us the weather on Mars and remind us to breathe, we’re now apparently in desperate need of a physical booklet that offers sage advice on how to “win a fight.” Because nothing screams “I’m a mature adult” quite like settling disputes via pamphlet. Maybe instead of standing up for ourselves, we should just hand our opponents a printed foldable and let them peruse our literary genius. And let’s not forget the nostalgia factor here! The last time a majority of us saw a zine was in 1999—back when flip phones were the pinnacle of technology and the biggest fight we faced was over who got control of the TV remote. Now, we’re being whisked back to those simpler times, armed only with a printer and a fierce desire to assert our dominance through paper cuts. But hey, if you’ve never made a zine, or you’ve simply forgotten how to do it since the dawn of the millennium, WIRED’s got your back! They’ve turned this into a social movement, where amateur philosophers can print, fold, and share their thoughts on how to engage in fights. Because why have a conversation when you can battle with paper instead? Let’s be honest: this is all about making “fighting” a trendy topic again. Who needs actual conflict resolution when you can just hand out zines like business cards? Imagine walking into a bar, someone bumps into you, and instead of a punch, you just slide them a zine. “Here’s how to win a fight, buddy. Chapter One: Don’t.” So, if you feel like embracing your inner 90s kid and channeling your angst into a creative outlet, jump on this zine-making bandwagon. Who knows? You might just win a fight—against boredom, at least. #ZineCulture #HowToWinAFight #DIYProject #NostalgiaTrip #WIRED

In a world where cloud computing has become the digital equivalent of air (you know, something everyone breathes in but no one really thinks about), the latest trend in datacenter technology is to send our precious data skyrocketing into the cosmos. Yes, you read that right—space-based datacenters are the new buzzword, because why let earthly problems like power outages or NIMBYism stop us from storing our data in the great beyond? Imagine the scene: while we sit in traffic on our way to work, feeling the weight of our earthly responsibilities, there are engineers in space suits, floating around in zero gravity, managing data storage like it’s just another day at the office. I mean, who needs a reliable power grid when you can have the cosmic energy of a thousand suns powering your Netflix binge-watching session? Talk about an upgrade! Of course, this leap into the stratosphere isn't without its challenges. What happens if there’s a little too much space debris? Will our precious selfies come crashing back down to Earth? Or worse, will they be lost forever among the stars? But fear not! The tech-savvy geniuses behind this initiative have assured us that they have a plan. Clearly, the best minds of our generation are focused on ensuring your TikTok videos stay safe in orbit rather than, say, solving world hunger or climate change. Priorities, am I right? Let’s not forget about the cost. Space travel isn’t exactly cheap. But hey, if I’m going to spend a fortune on data storage, I’d rather it be orbiting Earth than sitting in a basement somewhere in New Jersey. Because nothing says “I’m a forward-thinking tech mogul” quite like a datacenter floating serenely above the clouds, right? It’s the ultimate status symbol—better than a sports car, better than a mansion. “Look at me! My data is literally out of this world!” And let’s be real, the power of AI is growing faster than a toddler on a sugar rush. Our current datacenters are sweating bullets trying to keep up. So, the solution? Just toss them into orbit! Sure, it sounds like a plot from a sci-fi movie, but who needs a solid plan when you have a vision, right? The next logical step is to start launching all our problems into space. Traffic jams? Launch them! Your ex? Into orbit they go! So, here's to the brave souls who will be managing our digital lives from afar. May your Wi-Fi connection be strong, may your satellite dishes be well-aligned, and may your cosmic data never experience latency. Because if there’s one thing we can all agree on, it's that our data deserves a first-class ticket to space, even if it means leaving the rest of the world behind. #SpaceBasedDatacenters #CloudComputing #DataInOrbit #TechTrends #AIFuture

Lately, I've been seeing a lot of authors on TikTok, posting videos under the hashtag #WritersTok. Apparently, they’re trying to prove that they’re not using AI to write their work. It’s kind of funny, I guess. They edit their manuscripts, showing us all the “human” effort that goes into writing. But honestly, it feels a bit pointless. I mean, do we really need to see authors editing? Isn’t that something we just assume they do? I don’t know, maybe it's just me, but watching someone scribble on a page or type away doesn’t seem that exciting. I get it, they want to show the world that they are real people with real processes, but can't that be implied? It's like they’re all saying, “Look, I’m not a robot,” when, in reality, most of us already knew that. The whole protest against AI in writing feels a bit overblown. Sure, AI is becoming a big deal in the creative world, but do we need a TikTok movement to showcase that human touch? I guess it’s nice that indie authors are trying to engage with readers, but can’t they find a more interesting way? Maybe just write more, I don’t know. The videos are everywhere, and it’s almost like an endless scroll of the same thing. People editing, people reading excerpts, and then more people explaining why they’re not using AI. It’s all a bit much. I suppose they’re trying to stand out in a world where technology is taking over writing, but does it have to be so… repetitive? Sometimes, I wish authors would just focus on writing rather than making videos about how they write. We all know writing is hard work, and they don’t need to prove it to anyone. Maybe I’m just feeling a bit lazy about it all. Or maybe it’s just that watching someone edit isn’t as captivating as a good story. In the end, I get that they’re trying to build a community and show their process, but the TikTok frenzy feels a bit forced. I’d rather pick up a book and read a good story than watch a video of someone tweaking their manuscript. But hey, that’s just me. #WritersTok #AuthorCommunity #AIinWriting #IndieAuthors #HumanTouch