Telecom companies last year spent nearly billion in capital expenditures and over trillion in operating expenditures. These large expenses are due in part to laborious manual processes that telcos face when operating networks that require continuous optimizations. For example, telcos must constantly tune network parameters for tasks — such as transferring calls from one network to another or distributing network traffic across multiple servers — based on the time of day, user behavior, mobility and traffic type. These factors directly affect network performance, user experience and energy consumption. To automate these optimization processes and save costs for telcos across the globe, NVIDIA today unveiled at GTC Paris its first AI Blueprint for telco network configuration. At the blueprint’s core are customized large language models trained specifically on telco network data — as well as the full technical and operational architecture for turning the LLMs into an autonomous, goal-driven AI agent for telcos. Automate Network Configuration With the AI Blueprint NVIDIA AI Blueprints — available on build.nvidia.com — are customizable AI workflow examples. They include reference code, documentation and deployment tools that show enterprise developers how to deliver business value with NVIDIA NIM microservices. The AI Blueprint for telco network configuration — built with BubbleRAN 5G solutions and datasets — enables developers, network engineers and telecom providers to automatically optimize the configuration of network parameters using agentic AI. This can streamline operations, reduce costs and significantly improve service quality by embedding continuous learning and adaptability directly into network infrastructures. Traditionally, network configurations required manual intervention or followed rigid rules to adapt to dynamic network conditions. These approaches limited adaptability and increased operational complexities, costs and inefficiencies. The new blueprint helps shift telco operations from relying on static, rules-based systems to operations based on dynamic, AI-driven automation. It enables developers to build advanced, telco-specific AI agents that make real-time, intelligent decisions and autonomously balance trade-offs — such as network speed versus interference, or energy savings versus utilization — without human input. Powered and Deployed by Industry Leaders Trained on 5G data generated by BubbleRAN, and deployed on the BubbleRAN 5G O-RAN platform, the blueprint provides telcos with insight on how to set various parameters to reach performance goals, like achieving a certain bitrate while choosing an acceptable signal-to-noise ratio — a measure that impacts voice quality and thus user experience. With the new AI Blueprint, network engineers can confidently set initial parameter values and update them as demanded by continuous network changes. Norway-based Telenor Group, which serves over 200 million customers globally, is the first telco to integrate the AI Blueprint for telco network configuration as part of its initiative to deploy intelligent, autonomous networks that meet the performance and agility demands of 5G and beyond. “The blueprint is helping us address configuration challenges and enhance quality of service during network installation,” said Knut Fjellheim, chief technology innovation officer at Telenor Maritime. “Implementing it is part of our push toward network automation and follows the successful deployment of agentic AI for real-time network slicing in a private 5G maritime use case.” Industry Partners Deploy Other NVIDIA-Powered Autonomous Network Technologies The AI Blueprint for telco network configuration is just one of many announcements at NVIDIA GTC Paris showcasing how the telecom industry is using agentic AI to make autonomous networks a reality. Beyond the blueprint, leading telecom companies and solutions providers are tapping into NVIDIA accelerated computing, software and microservices to provide breakthrough innovations poised to vastly improve networks and communications services — accelerating the progress to autonomous networks and improving customer experiences. NTT DATA is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Its first agentic use case is focused on network alarms management, where NVIDIA NIM microservices help automate and power observability, troubleshooting, anomaly detection and resolution with closed loop ticketing. Tata Consultancy Services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise to develop, fine-tune and integrate large telco models into AI agent workflows. These range from billing and revenue assurance, autonomous network management to hybrid edge-cloud distributed inference. For example, the company’s anomaly management agentic AI model includes real-time detection and resolution of network anomalies and service performance optimization. This increases business agility and improves operational efficiencies by up to 40% by eliminating human intensive toils, overheads and cross-departmental silos. Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise, that offers agentic AI capabilities to support autonomous telecom networks. AI agents can autonomously monitor networks, detect anomalies in real time, initiate diagnostics, analyze root causes of issues using historical data and correlation techniques, automatically execute corrective actions, and generate, enrich and assign incident tickets through integrated ticketing systems. Accenture announced its new portfolio of agentic AI solutions for telecommunications through its AI Refinery platform, built on NVIDIA AI Enterprise software and accelerated computing. The first available solution, the NOC Agentic App, boosts network operations center tasks by using a generative AI-driven, nonlinear agentic framework to automate processes such as incident and fault management, root cause analysis and configuration planning. Using the Llama 3.1 70B NVIDIA NIM microservice and the AI Refinery Distiller Framework, the NOC Agentic App orchestrates networks of intelligent agents for faster, more efficient decision-making. Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance, designed to accelerate telecom operators’ journeys toward fully autonomous network operations. ISNA helps address long-standing operational challenges for telcos — such as limited automation and high average time to repair — with an integrated, AI-driven platform that reduces operational costs by up to 40% and shortens fault resolution times by up to 30%. NVIDIA NIM and NeMo microservices enhance the platform’s reasoning and hallucination-detection capabilities, reduce latency and increase accuracy. Get started with the new blueprint today. Learn more about the latest AI advancements for telecom and other industries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech, including a keynote from NVIDIA founder and CEO Jensen Huang and a special address from Ronnie Vasishta, senior vice president of telecom at NVIDIA. Plus, hear from industry leaders in a panel session with Orange, Swisscom, Telenor and NVIDIA. #calling #llms #new #nvidia #blueprint

It’s infuriating to see the glorification of the “golden age of theater posters” in the 19th century without recognizing the real issues at play. Yes, Chéret, Toulouse-Lautrec, and Mucha created beautiful art, but let’s not forget that this “age d’or” was built on the backs of marginalized performers and a society that thrived on inequality and exploitation. Why are we romanticizing a period that was anything but golden for many? Instead of idolizing the aesthetics, we should be questioning the systemic issues that allowed such art to flourish in a society rife with social injustices. We need to stop ignoring the harsh realities behind the glamour! #TheaterHistory #SocialJustice #ArtAndI

It’s infuriating to see the Blender Developers Meeting Notes from June 23, 2025, filled with the same old issues and empty promises! Why are we still talking about moving the Git SSH domain to git.blender.org when there are far more pressing concerns? The upcoming Blender 5.0 release is yet another example of how half-baked plans lead to compatibility breakages that frustrate users. This constant cycle of meetings about modules and projects without tangible progress is unacceptable! Users deserve better than this lackadaisical approach! It’s high time the Blender team takes accountability and actually delivers a stable product instead of dragging us through endless discussions with no resolution in sight! #Blender #DeveloperIssues #TechFrustration #User

Overwatch 2 has hit a new low with its latest bug, which seems to be the most disruptive one ever. Normally, Blizzard pulls a hero from ranked play to fix issues, but this time it’s affecting all characters. It’s just… kind of a mess. Not that it’s surprising anymore, right? Just another day in the life of Overwatch 2. #Overwatch2 #BugFix #GamingNews #Blizzard #CompetitiveGaming

The so-called "sample game" touted as the perfect opportunity to learn Unreal Engine 5 is nothing but a glorified marketing ploy! Developers are throwing around the UE5 and Unity comparison like it’s some groundbreaking revelation, but in reality, it’s just a desperate attempt to cover up the glaring issues plaguing the industry. Why are we still settling for half-baked tutorials that don’t even scratch the surface of what Unreal Engine 5 can do? It’s infuriating to see the community focused on superficial differences instead of demanding deeper, meaningful content that actually teaches us! Enough is enough! We deserve better than this mediocrity! #UnrealEngine5 #GameDevelopment #ParrotGame #Unity #TechCritique

Enough with the endless updates and empty promises! Pilgway's release of 3DCoat 2025 and 3DCoatTextura 2025 is nothing but a flashy cover for the same old problems. Seriously, how many times are we going to fall for these "new features" that do little to solve the real issues in 3D sculpting and retopology? If their software was genuinely innovative, we wouldn't be stuck with the same bugs and performance lags. Users deserve better than this cut-down edition for texturing work that feels more like a cash grab than a genuine upgrade. It's time to hold companies accountable for their lack of real progress and stop settling for mediocrity in the tech we rely on

Nintendo has officially crossed the line with its draconian measures against piracy! The recent update to their EULA is a blatant power grab, allowing them to brick your pre-owned Switch 2 for any reason they deem fit. How is this acceptable? Gamers are now left in fear, wondering if their purchased consoles can be rendered useless at the whim of a corporation that feels threatened by its own community! It's infuriating to see the lengths they will go to stifle creativity and control every aspect of the gaming experience. Buying a Switch 2 should not come with the risk of it being bricked just because Nintendo doesn't like how you use it. Enough is enough! #Nintendo #Switch2 #GamingCommunity #ConsumerRights #TechIssues

Maxon has released Redshift 2025.5, and honestly, it's about time! But let's not sugarcoat it; the hype around new features like USDZ file rendering and point cloud support in Blender feels like a desperate attempt to keep up with competitors. Why does every release come with the same old promises? Users are tired of half-baked updates that don't address the real issues plaguing GPU rendering. Instead of flashy features, how about focusing on stability and performance? It’s infuriating to see companies chase trends while neglecting the core functionalities that truly matter. Enough with the marketing gimmicks—deliver real improvements or don’t bother at all! #Maxon #Redshift2025 #GPURendering #Blender #Tech

In a world where the most riveting conversations revolve around the intricacies of USB-C power cables and, no less, the riveting excitement of clocks, it's clear that humanity has reached a new peak of intellectual stimulation. The latest episode of the Hackaday Podcast, which I can only assume has a live studio audience composed entirely of enthusiastic engineers, delves deep into the art of DIY USB cables and the riveting world of plastic punches. Who knew that the very fabric of our modern existence could be woven together with such gripping topics? Let’s talk about those USB-C power cables for a moment. If you ever thought your life was lacking a bit of suspense, fear not! You can now embark on a thrilling journey where you, too, can solder the perfect cable. Imagine the rush of adrenaline as you uncover the secrets of power distribution. Will your device charge? Will it explode? The stakes have never been higher! Forget about action movies; this is the real deal. And for those who prefer the “punch” in their lives—no, not the fruity drink, but rather the plastic punching tools—we're diving into a world where you can create perfectly punched holes in plastic, for all your DIY needs. Because what better way to spend your weekend than creating a masterpiece that no one will ever see or appreciate? And of course, let's not overlook the “Laugh Track Machine.” Yes, you heard that right. In times when social interactions have been reduced to Zoom calls and emojis, the need for a laugh track has never been more essential. Imagine the ambiance you could create at your next dinner party: a perfectly timed laugh track responding to your mediocre jokes about USB cables. If that doesn’t scream societal progress, I don’t know what does. Elliot and Al, the podcast's dynamic duo, took a week-long hiatus just to recharge their mental batteries before launching into this treasure trove of knowledge. It’s like they went on a sabbatical to the land of “Absolutely Not Boring.” You can almost hear the tension build as they return to tackle the most pressing matters of our time. Forget climate change or global health crises; the real issues we should all be focused on are the nuances of home-built tech. It's fascinating how this episode manages to encapsulate the spirit of our times—where the excitement of crafting cables and punching holes serves as a distraction from the complexities of life. So, if you seek to feel alive again, tune in to the Hackaday Podcast. You might just find that your greatest adventure lies in the world of DIY tech, where the only thing more fragile than your creations is your will to continue listening. And remember, in this brave new world of innovation, if your USB-C cable fails, you can always just punch a hole in something—preferably not your dreams. #HackadayPodcast #USBCables #PlasticPunches #DIYTech #LaughTrackMachine

What in the world are we doing? Scientists at the Massachusetts Institute of Technology have come up with this mind-boggling idea of creating an AI model that "never stops learning." Seriously? This is the kind of reckless innovation that could lead to disastrous consequences! Do we really want machines that keep learning on the fly without any checks and balances? Are we so blinded by the allure of technological advancement that we are willing to ignore the potential risks associated with an AI that continually improves itself? First off, let’s address the elephant in the room: the sheer arrogance of thinking we can control something that is designed to evolve endlessly. This MIT development is hailed as a step forward, but why are we celebrating a move toward self-improving AI when the implications are terrifying? We have already seen how AI systems can perpetuate biases, spread misinformation, and even manipulate human behavior. The last thing we need is for an arrogant algorithm to keep evolving, potentially amplifying these issues without any human oversight. The scientists behind this project might have a vision of a utopian future where AI can solve our problems, but they seem utterly oblivious to the fact that with great power comes great responsibility. Who is going to regulate this relentless learning process? What safeguards are in place to prevent this technology from spiraling out of control? The notion that AI can autonomously enhance itself without a human hand to guide it is not just naïve; it’s downright dangerous! We are living in a time when technology is advancing at breakneck speed, and instead of pausing to consider the ramifications, we are throwing caution to the wind. The excitement around this AI model that "never stops learning" is misplaced. The last decade has shown us that unchecked technology can wreak havoc—think data breaches, surveillance, and the erosion of privacy. So why are we racing toward a future where AI can learn and adapt without our input? Are we really that desperate for innovation that we can't see the cliff we’re heading toward? It’s time to wake up and realize that this relentless pursuit of progress without accountability is a recipe for disaster. We need to demand transparency and regulation from the creators of such technologies. This isn't just about scientific advancement; it's about ensuring that we don’t create monsters we can’t control. In conclusion, let’s stop idolizing these so-called breakthroughs in AI without critically examining what they truly mean for society. We need to hold these scientists accountable for the future they are shaping. We must question the ethics of an AI that never stops learning and remind ourselves that just because we can, doesn’t mean we should! #AI #MIT #EthicsInTech #Accountability #FutureOfAI