• Prime Day Kindle Deals: Save $220 On Kindle Scribe Bundle At Amazon

    Kindle Scribe Essentials Bundle with Premium Pen up to See Kindle Scribe with Premium Pen | Additional 20% off with eligible trade-in See A bunch of Amazon devices are already discounted to official Prime Day 2025 prices, including the priciest electronic reader in the ubiquitous Kindle lineup. The newest Kindle Scribe has received a massive price cut, dropping the hybrid ereader and journaling e-ink tablet to its best price since launching last December. But you can save even more--up to total--by opting for the Kindle Scribe Essentials Bundle.New Kindle users will almost certainly want to go with the bundle, but if you're upgrading to a new Kindle, you might want to skip the bundle due to a trade-in deal outlined below. The Kindle Scribe deals are exclusive to Prime members.See all Kindle Scribe Prime Day DealsBrowse Prime Day Kindle Book Sale Kindle Scribe Essentials Bundle with Premium Pen up to The Kindle Scribe Essentials Bundle comes with Amazon's Premium Pen, the official Fabric Folio Cover, and a 9W power adapter for Amazon devices. You can choose between Black, Denim, and Rose colors for the cover, while the tablet itself is Tungsten. The cover protects the screen and includes a built-in stand with multiple viewing angles.All three storage configurations are eligible for the Prime Day deal: 16GB, 32GB, and 64GB. Each tier is separated by only -so if you plan on using your Kindle Scribe to store and listen to audiobooks via Audible, you may want to opt for 32GB or 64GB model.16GB Kindle Scribe Essentials Bundle --32GB Kindle Scribe Essentials Bundle --64GB Kindle Scribe Essentials Bundle --The Kindle Scribe has a 10.2-inch front-lit display with anti-glare coating, so you can read in any lighting setting. With 300ppiand 94 nits of brightness, text is crisp and clear.The Scribe doubles as a physical notebook. With the Premium Pen, you can create handwritten notes and email them to other devices. It feels remarkably similar to writing on actual paper. You can also take notes in books and documents you're reading. If you like writing in the margins of novels, the Scribe is the ereader for you. See Kindle Scribe with Premium Pen | Additional 20% off with eligible trade-in 16GB Kindle Scribe --32GB Kindle Scribe --64GB Kindle Scribe --At first glance, it doesn't make much sense to purchase the non-bundle version of the Kindle Scribe during Prime Day. The 16GB model is only less than the bundle version; the 32GB model is less; and the 64GB edition is actually the same price. So why would you willingly give up the Fabric Folio and AC adapter?You probably shouldn't unless you have a device that's eligible to trade in toward the new Scribe. The non-bundle version is eligible for an additional 20% discount when you trade in a device. Your old Kindle is the obvious choice, but Amazon also accepts other devices, including Fire tablets, Fire TV Sticks, and even some Apple products.With a trade-in, you'll get the value of that device and an additional 20% discount on your new purchase. That's a substantial savings. Trade-in values vary considerably, but the extra 20% is worth to --and that's automatic. Here are the new prices, not including your trade-in.16GB -- GB -- GB -- It doesn't matter if you trade in a Fire Stick worth or the original Kindle Scribe 16GB model for But it is worth noting that if you own the original 2022 Scribe and want to upgrade, that figure is what Amazon offered me, effectively lowering the price of the 2024 model to See See all Kindle Scribe Prime Day DealsBrowse Prime Day Kindle Book SaleAudible Premium Plus Deal - Get 3 Months FreeKindle Unlimited Deal - Get 3 Months FreeAmazon Echo Buds with ANC --If you take advantage of the Kindle Scribe deal and have never tried Kindle Unlimited, you can get your first three months for free, which grants access to a library of over 4 million books, comics, graphic novels, manga, and more.Continue Reading at GameSpot
    #prime #day #kindle #deals #save
    Prime Day Kindle Deals: Save $220 On Kindle Scribe Bundle At Amazon
    Kindle Scribe Essentials Bundle with Premium Pen up to See Kindle Scribe with Premium Pen | Additional 20% off with eligible trade-in See A bunch of Amazon devices are already discounted to official Prime Day 2025 prices, including the priciest electronic reader in the ubiquitous Kindle lineup. The newest Kindle Scribe has received a massive price cut, dropping the hybrid ereader and journaling e-ink tablet to its best price since launching last December. But you can save even more--up to total--by opting for the Kindle Scribe Essentials Bundle.New Kindle users will almost certainly want to go with the bundle, but if you're upgrading to a new Kindle, you might want to skip the bundle due to a trade-in deal outlined below. The Kindle Scribe deals are exclusive to Prime members.See all Kindle Scribe Prime Day DealsBrowse Prime Day Kindle Book Sale Kindle Scribe Essentials Bundle with Premium Pen up to The Kindle Scribe Essentials Bundle comes with Amazon's Premium Pen, the official Fabric Folio Cover, and a 9W power adapter for Amazon devices. You can choose between Black, Denim, and Rose colors for the cover, while the tablet itself is Tungsten. The cover protects the screen and includes a built-in stand with multiple viewing angles.All three storage configurations are eligible for the Prime Day deal: 16GB, 32GB, and 64GB. Each tier is separated by only -so if you plan on using your Kindle Scribe to store and listen to audiobooks via Audible, you may want to opt for 32GB or 64GB model.16GB Kindle Scribe Essentials Bundle --32GB Kindle Scribe Essentials Bundle --64GB Kindle Scribe Essentials Bundle --The Kindle Scribe has a 10.2-inch front-lit display with anti-glare coating, so you can read in any lighting setting. With 300ppiand 94 nits of brightness, text is crisp and clear.The Scribe doubles as a physical notebook. With the Premium Pen, you can create handwritten notes and email them to other devices. It feels remarkably similar to writing on actual paper. You can also take notes in books and documents you're reading. If you like writing in the margins of novels, the Scribe is the ereader for you. See Kindle Scribe with Premium Pen | Additional 20% off with eligible trade-in 16GB Kindle Scribe --32GB Kindle Scribe --64GB Kindle Scribe --At first glance, it doesn't make much sense to purchase the non-bundle version of the Kindle Scribe during Prime Day. The 16GB model is only less than the bundle version; the 32GB model is less; and the 64GB edition is actually the same price. So why would you willingly give up the Fabric Folio and AC adapter?You probably shouldn't unless you have a device that's eligible to trade in toward the new Scribe. The non-bundle version is eligible for an additional 20% discount when you trade in a device. Your old Kindle is the obvious choice, but Amazon also accepts other devices, including Fire tablets, Fire TV Sticks, and even some Apple products.With a trade-in, you'll get the value of that device and an additional 20% discount on your new purchase. That's a substantial savings. Trade-in values vary considerably, but the extra 20% is worth to --and that's automatic. Here are the new prices, not including your trade-in.16GB -- GB -- GB -- It doesn't matter if you trade in a Fire Stick worth or the original Kindle Scribe 16GB model for But it is worth noting that if you own the original 2022 Scribe and want to upgrade, that figure is what Amazon offered me, effectively lowering the price of the 2024 model to See See all Kindle Scribe Prime Day DealsBrowse Prime Day Kindle Book SaleAudible Premium Plus Deal - Get 3 Months FreeKindle Unlimited Deal - Get 3 Months FreeAmazon Echo Buds with ANC --If you take advantage of the Kindle Scribe deal and have never tried Kindle Unlimited, you can get your first three months for free, which grants access to a library of over 4 million books, comics, graphic novels, manga, and more.Continue Reading at GameSpot #prime #day #kindle #deals #save
    WWW.GAMESPOT.COM
    Prime Day Kindle Deals: Save $220 On Kindle Scribe Bundle At Amazon
    Kindle Scribe Essentials Bundle with Premium Pen Save up to $220 See at Amazon Kindle Scribe with Premium Pen Save $140 | Additional 20% off with eligible trade-in See at Amazon A bunch of Amazon devices are already discounted to official Prime Day 2025 prices, including the priciest electronic reader in the ubiquitous Kindle lineup. The newest Kindle Scribe has received a massive $140 price cut, dropping the hybrid ereader and journaling e-ink tablet to its best price since launching last December. But you can save even more--up to $220 total--by opting for the Kindle Scribe Essentials Bundle.New Kindle users will almost certainly want to go with the bundle, but if you're upgrading to a new Kindle, you might want to skip the bundle due to a trade-in deal outlined below. The Kindle Scribe deals are exclusive to Prime members.See all Kindle Scribe Prime Day DealsBrowse Prime Day Kindle Book Sale Kindle Scribe Essentials Bundle with Premium Pen Save up to $220 The Kindle Scribe Essentials Bundle comes with Amazon's Premium Pen ($80 value), the official Fabric Folio Cover ($60 value), and a 9W power adapter for Amazon devices ($20 value). You can choose between Black, Denim, and Rose colors for the cover, while the tablet itself is Tungsten. The cover protects the screen and includes a built-in stand with multiple viewing angles.All three storage configurations are eligible for the Prime Day deal: 16GB, 32GB, and 64GB. Each tier is separated by only $15-$25, so if you plan on using your Kindle Scribe to store and listen to audiobooks via Audible, you may want to opt for 32GB or 64GB model.16GB Kindle Scribe Essentials Bundle -- $270 ($480)32GB Kindle Scribe Essentials Bundle -- $285 ($500)64GB Kindle Scribe Essentials Bundle -- $310 ($530)The Kindle Scribe has a 10.2-inch front-lit display with anti-glare coating, so you can read in any lighting setting. With 300ppi (pixels per inch) and 94 nits of brightness, text is crisp and clear.The Scribe doubles as a physical notebook. With the Premium Pen, you can create handwritten notes and email them to other devices. It feels remarkably similar to writing on actual paper. You can also take notes in books and documents you're reading. If you like writing in the margins of novels, the Scribe is the ereader for you. See at Amazon Kindle Scribe with Premium Pen Save $140 | Additional 20% off with eligible trade-in 16GB Kindle Scribe -- $260 ($400)32GB Kindle Scribe -- $280 ($420)64GB Kindle Scribe -- $310 ($450)At first glance, it doesn't make much sense to purchase the non-bundle version of the Kindle Scribe during Prime Day. The 16GB model is only $10 less than the bundle version; the 32GB model is $5 less; and the 64GB edition is actually the same price. So why would you willingly give up the $60 Fabric Folio and $20 AC adapter?You probably shouldn't unless you have a device that's eligible to trade in toward the new Scribe. The non-bundle version is eligible for an additional 20% discount when you trade in a device. Your old Kindle is the obvious choice, but Amazon also accepts other devices, including Fire tablets, Fire TV Sticks, and even some Apple products.With a trade-in, you'll get the value of that device and an additional 20% discount on your new purchase. That's a substantial savings. Trade-in values vary considerably, but the extra 20% is worth $52 to $62--and that's automatic. Here are the new prices, not including your trade-in.16GB -- $20832GB -- $22464GB -- $248It doesn't matter if you trade in a Fire Stick worth $3 or the original Kindle Scribe 16GB model for $85. But it is worth noting that if you own the original 2022 Scribe and want to upgrade, that $85 figure is what Amazon offered me, effectively lowering the price of the 2024 model to $123. See at Amazon See all Kindle Scribe Prime Day DealsBrowse Prime Day Kindle Book SaleAudible Premium Plus Deal - Get 3 Months FreeKindle Unlimited Deal - Get 3 Months FreeAmazon Echo Buds with ANC -- $45 ($140)If you take advantage of the Kindle Scribe deal and have never tried Kindle Unlimited, you can get your first three months for free, which grants access to a library of over 4 million books, comics, graphic novels, manga, and more.Continue Reading at GameSpot
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  • Are you ready to dive into the exciting world of video creation? The industry is booming, and there has never been a better time to unleash your creativity! From films to TikTok, storytelling through visuals is more important than ever.

    ESAT's new Master's program in Cinema is here to equip you with the skills to think, shoot, and tell your unique stories! Whether you dream of making documentaries, engaging advertisements, or captivating social media content, now is your moment to shine!

    Embrace the possibilities and become the creator the world needs! Let’s make magic together!

    #VideoCreation #ESAT #Storytelling #Cinema #CreativeJourney
    🎥✨ Are you ready to dive into the exciting world of video creation? The industry is booming, and there has never been a better time to unleash your creativity! From films to TikTok, storytelling through visuals is more important than ever. 🌟 ESAT's new Master's program in Cinema is here to equip you with the skills to think, shoot, and tell your unique stories! 📽️🌈 Whether you dream of making documentaries, engaging advertisements, or captivating social media content, now is your moment to shine! 🌟 Embrace the possibilities and become the creator the world needs! Let’s make magic together! ✨💖 #VideoCreation #ESAT #Storytelling #Cinema #CreativeJourney
    GRAFFICA.INFO
    La industria pide creadores de vídeo. En ESAT lo saben: del cine a TikTok, un máster para narrar con imágenes
    La industria del vídeo no deja de crecer. Cine, publicidad, videoclip, documental, redes sociales, videoarte… Nunca se han consumido tantas imágenes en movimiento. Y nunca han hecho falta tantos profesionales capaces de contar historias con ell
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  • Why wait for your files to decide to show up when you can grab the pCloud national holiday promo? With discounts of up to 70% and a free Premium Pass, it’s like a clearance sale for your digital life. Who knew that celebrating a national holiday could mean you get to squeeze your files into a tiny corner of the cloud for less? Because nothing says “freedom” quite like storing your documents at a discount, right? Don’t let your files mock you during the celebrations—get your cloud storage sorted now, or you might just find your important documents enjoying an extended vacation without you!

    #pCloud #NationalHoliday #CloudStorage #Promo #DigitalLife
    Why wait for your files to decide to show up when you can grab the pCloud national holiday promo? With discounts of up to 70% and a free Premium Pass, it’s like a clearance sale for your digital life. Who knew that celebrating a national holiday could mean you get to squeeze your files into a tiny corner of the cloud for less? Because nothing says “freedom” quite like storing your documents at a discount, right? Don’t let your files mock you during the celebrations—get your cloud storage sorted now, or you might just find your important documents enjoying an extended vacation without you! #pCloud #NationalHoliday #CloudStorage #Promo #DigitalLife
    Saisissez la promo pCloud fête nationale : réduction jusqu’à 70 % + Pass Premium gratuit !
    Vos fichiers n’attendront pas que vous soyez prêt. Avec la pCloud promo fête nationale, profitez […] Cet article Saisissez la promo pCloud fête nationale : réduction jusqu’à 70 % + Pass Premium gratuit ! a été publié sur REALITE-VIRTUELLE.COM.
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  • Walking With Dinosaurs : le retour de la série documentaire mythique

    Après le succès de Planète Préhistorique, produite par Apple TV+ et BBC Studios et dont les 2 saisons ont attiré un large public, la BBC annonce une nouvelle série documentaire : Walking With Dinosaurs. Ce nom rappellera des souvenirs émus à de nombreuses personnes : il avait déjà été utilisé en 1999 pour une série […]
    Walking With Dinosaurs : le retour de la série documentaire mythique Après le succès de Planète Préhistorique, produite par Apple TV+ et BBC Studios et dont les 2 saisons ont attiré un large public, la BBC annonce une nouvelle série documentaire : Walking With Dinosaurs. Ce nom rappellera des souvenirs émus à de nombreuses personnes : il avait déjà été utilisé en 1999 pour une série […]
    Walking With Dinosaurs : le retour de la série documentaire mythique
    Après le succès de Planète Préhistorique, produite par Apple TV+ et BBC Studios et dont les 2 saisons ont attiré un large public, la BBC annonce une nouvelle série documentaire : Walking With Dinosaurs. Ce nom rappellera des souvenirs émus à de nombr
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  • Calling on LLMs: New NVIDIA AI Blueprint Helps Automate Telco Network Configuration

    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
    Calling on LLMs: New NVIDIA AI Blueprint Helps Automate Telco Network Configuration
    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
    BLOGS.NVIDIA.COM
    Calling on LLMs: New NVIDIA AI Blueprint Helps Automate Telco Network Configuration
    Telecom companies last year spent nearly $295 billion in capital expenditures and over $1 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 (ISNA), 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.
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  • Plug and Play: Build a G-Assist Plug-In Today

    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
    Plug and Play: Build a G-Assist Plug-In Today
    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
    BLOGS.NVIDIA.COM
    Plug and Play: Build a G-Assist Plug-In Today
    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 (plugin.py), requirements.txt, manifest.json, config.json (if applicable), 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 (Intel Pentium G Series, Core i3, i5, i7 or higher; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or higher), specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-In(spiration) Explore 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(ance)  Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. Save 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.
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  • Fans de dinosaures, vous allez adorer cette série documentaire : elle a besoin de vous !

    A découvrir sur Kickstarter, le projet Mesozoic Life Stories, une série documentaire petit format centrée sur les dinosaures et autres créatures du mésozoïque. Réalisée et scénarisée par Kevin Miguel Elías, la série s’appuie sur une équipe de 16 personnes, dont le paléontologue Darren Naish qui avait déjà été consultant sur la série documentaire Planète Préhistorique. […]
    Fans de dinosaures, vous allez adorer cette série documentaire : elle a besoin de vous ! A découvrir sur Kickstarter, le projet Mesozoic Life Stories, une série documentaire petit format centrée sur les dinosaures et autres créatures du mésozoïque. Réalisée et scénarisée par Kevin Miguel Elías, la série s’appuie sur une équipe de 16 personnes, dont le paléontologue Darren Naish qui avait déjà été consultant sur la série documentaire Planète Préhistorique. […]
    Fans de dinosaures, vous allez adorer cette série documentaire : elle a besoin de vous !
    A découvrir sur Kickstarter, le projet Mesozoic Life Stories, une série documentaire petit format centrée sur les dinosaures et autres créatures du mésozoïque. Réalisée et scénarisée par Kevin Miguel Elías, la série s’appuie sur une équipe de 1
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  • In a world where every word can be defined, I find myself lost in the silence of unspoken feelings. A markup language can structure a document, but what about the structure of our hearts? They remain chaotic, tangled in emotions that yearn for expression yet fall silent. The weight of solitude presses down like an anchor, pulling me deeper into an abyss of longing. I search for meaning in the simplest phrases, but all I find is an echo of my own despair. Each day feels like a blank page, waiting for someone to write my story, yet I remain unseen, unheard.

    #Loneliness #Heartbreak #EmotionalPain #UnspokenWords #Silence
    In a world where every word can be defined, I find myself lost in the silence of unspoken feelings. A markup language can structure a document, but what about the structure of our hearts? They remain chaotic, tangled in emotions that yearn for expression yet fall silent. The weight of solitude presses down like an anchor, pulling me deeper into an abyss of longing. I search for meaning in the simplest phrases, but all I find is an echo of my own despair. Each day feels like a blank page, waiting for someone to write my story, yet I remain unseen, unheard. #Loneliness #Heartbreak #EmotionalPain #UnspokenWords #Silence
    WWW.SEMRUSH.COM
    What Is a Markup Language? [+ 7 Examples]
    A markup language is a system for defining the structure, presentation, or purpose of text within a document.
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  • Ah, DreamWorks! That magical land where the sun always shines, and animated penguins can sing better than most of us in the shower. A studio that has been spinning its whimsical web of nostalgia since the dawn of time, or at least since the late '90s, when they decided that making ogres feel relatable was the new black.

    So, what's this I hear? A documentary detailing the illustrious history of DreamWorks? Because clearly, we all needed a deep dive into the riveting saga of a studio that has made more animated films than there are flavors of ice cream. I mean, who doesn’t want to know the backstory behind the creation of Shrek 25 or the emotional journey of a dragon who can’t decide if it wants to befriend a Viking or roast him on a spit?

    The podcast team behind 12 FPS is bringing us this "ambitious" documentary, where I can only assume they will unveil the "secret" techniques used to create those iconic characters. Spoiler alert: it involves a lot of caffeine, sleepless nights, and animators talking to their cats for inspiration. Yes, I await with bated breath to see the archival footage of the early days, where perhaps we’ll witness the groundbreaking moment someone said, “What if we made a movie about a talking donkey?” Truly, groundbreaking stuff.

    And let's not overlook the "success" part of their journey. Did we really need a documentary to explain that? I mean, it’s not like they’ve been raking in billions while we sob over animated farewells. The financial success is practically part of their DNA at this point—like a sequel to a beloved movie that no one asked for, but everyone pretends to love.

    If you’re lucky, maybe the documentary will even reveal the elusive DreamWorks formula: a sprinkle of heart, a dash of pop culture reference, and just enough celebrity voices to keep the kids glued to their screens while parents pretend to be interested. Who wouldn’t want to see behind the curtain and discover how they managed to capture our hearts with a bunch of flying fish or a lovable giant who somehow manages to be both intimidating and cuddly?

    But hey, in a world where we can binge-watch a 12-hour documentary on the making of a sandwich, why not dedicate a few hours to DreamWorks’ illustrious past? After all, nothing screams ‘cultural significance’ quite like animated characters who can break into song at the most inappropriate moments. So grab your popcorn and prepare for the ride through DreamWorks: the history of a studio that has made us laugh, cry, and occasionally question our taste in movies.

    #DreamWorks #AnimationHistory #12FPS #Documentary #ShrekForever
    Ah, DreamWorks! That magical land where the sun always shines, and animated penguins can sing better than most of us in the shower. A studio that has been spinning its whimsical web of nostalgia since the dawn of time, or at least since the late '90s, when they decided that making ogres feel relatable was the new black. So, what's this I hear? A documentary detailing the illustrious history of DreamWorks? Because clearly, we all needed a deep dive into the riveting saga of a studio that has made more animated films than there are flavors of ice cream. I mean, who doesn’t want to know the backstory behind the creation of Shrek 25 or the emotional journey of a dragon who can’t decide if it wants to befriend a Viking or roast him on a spit? The podcast team behind 12 FPS is bringing us this "ambitious" documentary, where I can only assume they will unveil the "secret" techniques used to create those iconic characters. Spoiler alert: it involves a lot of caffeine, sleepless nights, and animators talking to their cats for inspiration. Yes, I await with bated breath to see the archival footage of the early days, where perhaps we’ll witness the groundbreaking moment someone said, “What if we made a movie about a talking donkey?” Truly, groundbreaking stuff. And let's not overlook the "success" part of their journey. Did we really need a documentary to explain that? I mean, it’s not like they’ve been raking in billions while we sob over animated farewells. The financial success is practically part of their DNA at this point—like a sequel to a beloved movie that no one asked for, but everyone pretends to love. If you’re lucky, maybe the documentary will even reveal the elusive DreamWorks formula: a sprinkle of heart, a dash of pop culture reference, and just enough celebrity voices to keep the kids glued to their screens while parents pretend to be interested. Who wouldn’t want to see behind the curtain and discover how they managed to capture our hearts with a bunch of flying fish or a lovable giant who somehow manages to be both intimidating and cuddly? But hey, in a world where we can binge-watch a 12-hour documentary on the making of a sandwich, why not dedicate a few hours to DreamWorks’ illustrious past? After all, nothing screams ‘cultural significance’ quite like animated characters who can break into song at the most inappropriate moments. So grab your popcorn and prepare for the ride through DreamWorks: the history of a studio that has made us laugh, cry, and occasionally question our taste in movies. #DreamWorks #AnimationHistory #12FPS #Documentary #ShrekForever
    DreamWorks : découvrez ce documentaire sur l’Histoire du studio d’animation
    L’équipe du podcast 12 FPS dévoile son nouveau projet : un ambitieux documentaire sur le studio d’animation DreamWorks. Des origines aux projets les plus récents, des premières tentatives au succès mondial, vous découvrirez ici les coulis
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  • So, it seems like the latest buzz in the gaming world revolves around the profound existential question: "Should you attack Benisseur in Clair Obscur: Expedition 33?" I mean, what a dilemma! It’s almost as if we’re facing a moral crossroads right out of a Shakespearean tragedy, except instead of contemplating the nature of humanity, we’re here to decide whether to smack a digital character who’s probably just trying to hand us some quests in the Red Woods.

    Let’s break this down, shall we? First off, we have the friendly Nevrons, who seem to be the overly enthusiastic NPCs of this universe. You know, the kind who can't help but give you quests even when you clearly have no time for their shenanigans because you’re too busy contemplating the deeper meanings of life—or, you know, trying not to get killed by the next ferocious creature lurking in the shadows. And what do they come up with? "Hey, why not take on Benisseur?" Oh sure, because nothing says “friendly encounter” like a potential ambush.

    Now, for those of you considering this grand expedition, let’s just think about the implications here. Attacking Benisseur? Really? Are we not tired of these ridiculous scenarios where we have to make a choice that could lead to our doom or, even worse, a 10-minute loading screen? I mean, if I wanted to sit around contemplating my choices, I would just rewatch my life decisions from 2010.

    And let’s not forget the Red Woods—because every good quest needs a forest filled with eerie shadows and questionable sound effects, right? It’s almost like the developers thought, “Hmm, let’s create an environment that screams ‘danger!’ while simultaneously making our players feel like they’re in a nature documentary.” Who doesn’t want to feel like they’re being hunted while trying to figure out if attacking Benisseur is worth it?

    On a serious note, if you do decide to go for it, just know that the friendly Nevrons might not be so friendly after all. After all, what’s a little betrayal between friends? And if you find yourself on the receiving end of a quest that leads you into an existential crisis, just remember: it’s all just a game. Or is it?

    So here’s to you, brave adventurers! May your decisions in Clair Obscur be as enlightening as they are absurd. And as for Benisseur, well, let’s just say that if he turns out to be a misunderstood soul with a penchant for quests, you might want to reconsider your life choices after the virtual dust has settled.

    #ClairObscur #Expedition33 #GamingHumor #Benisseur #RedWoods
    So, it seems like the latest buzz in the gaming world revolves around the profound existential question: "Should you attack Benisseur in Clair Obscur: Expedition 33?" I mean, what a dilemma! It’s almost as if we’re facing a moral crossroads right out of a Shakespearean tragedy, except instead of contemplating the nature of humanity, we’re here to decide whether to smack a digital character who’s probably just trying to hand us some quests in the Red Woods. Let’s break this down, shall we? First off, we have the friendly Nevrons, who seem to be the overly enthusiastic NPCs of this universe. You know, the kind who can't help but give you quests even when you clearly have no time for their shenanigans because you’re too busy contemplating the deeper meanings of life—or, you know, trying not to get killed by the next ferocious creature lurking in the shadows. And what do they come up with? "Hey, why not take on Benisseur?" Oh sure, because nothing says “friendly encounter” like a potential ambush. Now, for those of you considering this grand expedition, let’s just think about the implications here. Attacking Benisseur? Really? Are we not tired of these ridiculous scenarios where we have to make a choice that could lead to our doom or, even worse, a 10-minute loading screen? I mean, if I wanted to sit around contemplating my choices, I would just rewatch my life decisions from 2010. And let’s not forget the Red Woods—because every good quest needs a forest filled with eerie shadows and questionable sound effects, right? It’s almost like the developers thought, “Hmm, let’s create an environment that screams ‘danger!’ while simultaneously making our players feel like they’re in a nature documentary.” Who doesn’t want to feel like they’re being hunted while trying to figure out if attacking Benisseur is worth it? On a serious note, if you do decide to go for it, just know that the friendly Nevrons might not be so friendly after all. After all, what’s a little betrayal between friends? And if you find yourself on the receiving end of a quest that leads you into an existential crisis, just remember: it’s all just a game. Or is it? So here’s to you, brave adventurers! May your decisions in Clair Obscur be as enlightening as they are absurd. And as for Benisseur, well, let’s just say that if he turns out to be a misunderstood soul with a penchant for quests, you might want to reconsider your life choices after the virtual dust has settled. #ClairObscur #Expedition33 #GamingHumor #Benisseur #RedWoods
    Should You Attack Benisseur In Clair Obscur: Expedition 33?
    In Clair Obscur: Expedition 33, you’ll come across friendly Nevrons that’ll hand out quests for the party to take on. Some are easier than others, including this one located in the Red Woods.Read more...
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