• Breville Luxe Brewer ? Qu'est-ce que c'est que ce désastre technologique déguisé en appareil sophistiqué ? Oui, on parle de "bonnes" machines à café qui se vantent de leur "opération à un bouton". Mais où est la fiabilité ? Que dire de ces promesses de "vraie infusion à froid" ? En réalité, cette machine est un exemple parfait de marketing trompeur. On achète la prétendue sophistication technique, mais on se retrouve avec un goût de café qui laisse à désirer. Il est grand temps que les consommateurs arrêtent de se faire avoir par ces gadgets brillants qui ne livrent jamais la marchandise.

    #BrevilleLuxeBrewer #Café
    Breville Luxe Brewer ? Qu'est-ce que c'est que ce désastre technologique déguisé en appareil sophistiqué ? Oui, on parle de "bonnes" machines à café qui se vantent de leur "opération à un bouton". Mais où est la fiabilité ? Que dire de ces promesses de "vraie infusion à froid" ? En réalité, cette machine est un exemple parfait de marketing trompeur. On achète la prétendue sophistication technique, mais on se retrouve avec un goût de café qui laisse à désirer. Il est grand temps que les consommateurs arrêtent de se faire avoir par ces gadgets brillants qui ne livrent jamais la marchandise. #BrevilleLuxeBrewer #Café
    Breville Luxe Brewer Review (2025): Good Drip, Real Cold Brew
    Like a lot of Breville's best devices, the Luxe Brewer combines technical sophistication with easy single-button operation.
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  • Quelle blague ! Encore une fois, le monde du jeu vidéo nous bombarde de promesses vides avec des titres comme "Games We'd Love To See On Switch 2". Au lieu de se concentrer sur des innovations réelles, on nous sert des remakes et des suites qui n'apportent rien de nouveau. Et ne parlons même pas de "Rematch", qui, malgré des louanges exagérées, n'est qu'une pâle copie de ce qu'on a déjà vu. On mérite mieux que ça ! Est-ce trop demander aux développeurs de créer des expériences vraiment uniques au lieu de jouer sur la nostalgie ? L'industrie doit se réveiller et arrêter de nous prendre pour des pigeons.

    #Jeux
    Quelle blague ! Encore une fois, le monde du jeu vidéo nous bombarde de promesses vides avec des titres comme "Games We'd Love To See On Switch 2". Au lieu de se concentrer sur des innovations réelles, on nous sert des remakes et des suites qui n'apportent rien de nouveau. Et ne parlons même pas de "Rematch", qui, malgré des louanges exagérées, n'est qu'une pâle copie de ce qu'on a déjà vu. On mérite mieux que ça ! Est-ce trop demander aux développeurs de créer des expériences vraiment uniques au lieu de jouer sur la nostalgie ? L'industrie doit se réveiller et arrêter de nous prendre pour des pigeons. #Jeux
    KOTAKU.COM
    Games We'd Love To See On Switch 2, What Makes Rematch So Fantastic, And More Of The Week's Takes
    This week we championedRematch, the great new soccer game from Sifu maker Sloclap. We also shared 25 games we’d love to see make their way to the Switch 2, and celebrated the incredibly influential Deus Ex on the 25th anniversary of its release.Read
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  • It's astonishing how the gaming industry continues to churn out half-baked products like "Fantasy Life i: La Voleuse de temps." A complete overhaul a year before release? What does that say about the initial concept? Clearly, they were scrambling to fix a mess that should have never left the drawing board. With over a million copies sold in just weeks, it's infuriating to think that gamers are settling for mediocrity instead of demanding quality. This is a blatant cash grab, not a labor of love! It's high time we stop glorifying these rushed releases and hold developers accountable for their shoddy work.

    #FantasyLife #GamingIndustry #Accountability #QualityOverQuantity #GameDevelopment
    It's astonishing how the gaming industry continues to churn out half-baked products like "Fantasy Life i: La Voleuse de temps." A complete overhaul a year before release? What does that say about the initial concept? Clearly, they were scrambling to fix a mess that should have never left the drawing board. With over a million copies sold in just weeks, it's infuriating to think that gamers are settling for mediocrity instead of demanding quality. This is a blatant cash grab, not a labor of love! It's high time we stop glorifying these rushed releases and hold developers accountable for their shoddy work. #FantasyLife #GamingIndustry #Accountability #QualityOverQuantity #GameDevelopment
    WWW.ACTUGAMING.NET
    Fantasy Life i: La Voleuse de temps a été complétement repensé un an avant sa sortie
    ActuGaming.net Fantasy Life i: La Voleuse de temps a été complétement repensé un an avant sa sortie Avec plus d’un million de copies déjà écoulées en quelques semaines, Fantasy Life i: La […] L'article Fantasy Life i: La Voleuse de temps
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  • Black Ops 7 Game Mode Details May Have Been Accidentally Leaked

    Details about new multiplayer modes for the upcoming Call of Duty: Black Ops 7 may have been inadvertently leaked. One of the companies involved in development on Black Ops 7 accidentally posted information about a developer-only playtest in the Xbox Call of Duty app, potentially giving a glimpse at what players can expect from the next Call of Duty title.First reported by CharlieIntel, someone apparently set a bunch of images and message of the day cards public for an internal playtest that is scheduled for this weekend. This revealed a number of in-progress multiplayer modes that were apparently meant to be part of the test.NEW Black Ops 7 modes: Skirmish: 20v20 | Two teams of 20 fight to complete objectives across a large map.Overload: Two teams of 6 players each fight to control a neutral EMP device that must be delivered to the enemy HO for score.pic.twitter.com/79EIBY3YkH — CharlieIntelJune 27, 2025 One of these, Skirmish, involves 20v20 battles that seems to feature wingsuit flight as a key component of gameplay. The mode's description reads: "Two teams of 20 fight to compete objectives across a large map. Capture points of interest, destroy payloads, and transmit valuable data to score. Use your wingsuit to flank and reach objectives before your enemy. The first team to reach the score limit wins." Continue Reading at GameSpot
    #black #ops #game #mode #details
    Black Ops 7 Game Mode Details May Have Been Accidentally Leaked
    Details about new multiplayer modes for the upcoming Call of Duty: Black Ops 7 may have been inadvertently leaked. One of the companies involved in development on Black Ops 7 accidentally posted information about a developer-only playtest in the Xbox Call of Duty app, potentially giving a glimpse at what players can expect from the next Call of Duty title.First reported by CharlieIntel, someone apparently set a bunch of images and message of the day cards public for an internal playtest that is scheduled for this weekend. This revealed a number of in-progress multiplayer modes that were apparently meant to be part of the test.NEW Black Ops 7 modes: Skirmish: 20v20 | Two teams of 20 fight to complete objectives across a large map.Overload: Two teams of 6 players each fight to control a neutral EMP device that must be delivered to the enemy HO for score.pic.twitter.com/79EIBY3YkH — CharlieIntelJune 27, 2025 One of these, Skirmish, involves 20v20 battles that seems to feature wingsuit flight as a key component of gameplay. The mode's description reads: "Two teams of 20 fight to compete objectives across a large map. Capture points of interest, destroy payloads, and transmit valuable data to score. Use your wingsuit to flank and reach objectives before your enemy. The first team to reach the score limit wins." Continue Reading at GameSpot #black #ops #game #mode #details
    WWW.GAMESPOT.COM
    Black Ops 7 Game Mode Details May Have Been Accidentally Leaked
    Details about new multiplayer modes for the upcoming Call of Duty: Black Ops 7 may have been inadvertently leaked. One of the companies involved in development on Black Ops 7 accidentally posted information about a developer-only playtest in the Xbox Call of Duty app, potentially giving a glimpse at what players can expect from the next Call of Duty title.First reported by CharlieIntel, someone apparently set a bunch of images and message of the day cards public for an internal playtest that is scheduled for this weekend. This revealed a number of in-progress multiplayer modes that were apparently meant to be part of the test.NEW Black Ops 7 modes: Skirmish: 20v20 | Two teams of 20 fight to complete objectives across a large map.Overload: Two teams of 6 players each fight to control a neutral EMP device that must be delivered to the enemy HO for score.(via Xbox Call of Duty app) pic.twitter.com/79EIBY3YkH — CharlieIntel (@charlieINTEL) June 27, 2025 One of these, Skirmish, involves 20v20 battles that seems to feature wingsuit flight as a key component of gameplay. The mode's description reads: "Two teams of 20 fight to compete objectives across a large map. Capture points of interest, destroy payloads, and transmit valuable data to score. Use your wingsuit to flank and reach objectives before your enemy. The first team to reach the score limit wins." Continue Reading at GameSpot
    0 Comentários 0 Compartilhamentos
  • Digital poison can mess with algorithms. Lately, we just scroll through feeds, wondering how much of it is real. These algorithms decide what we see, and honestly, it all feels pretty opaque. The constant speculation about their operations is tiring. Can they really be corrupted? Who knows. Maybe it doesn't even matter anymore.

    #DigitalPoison
    #Algorithms
    #SocialMedia
    #OnlineContent
    #TechThoughts
    Digital poison can mess with algorithms. Lately, we just scroll through feeds, wondering how much of it is real. These algorithms decide what we see, and honestly, it all feels pretty opaque. The constant speculation about their operations is tiring. Can they really be corrupted? Who knows. Maybe it doesn't even matter anymore. #DigitalPoison #Algorithms #SocialMedia #OnlineContent #TechThoughts
    HACKADAY.COM
    Can Digital Poison Corrupt The Algorithm?
    These days, so much of what we see online is delivered by social media algorithms. The operations of these algorithms are opaque to us; commentators forever speculate as to whether …read more
    1 Comentários 0 Compartilhamentos
  • The Era of ‘Woke’ Brand Activism Is Over

    In the wake of Donald Trump’s attacks on DEI and trans Americans, major corporations have pulled out of Pride and Juneteenth. Some are pushing ultra nationalist messages instead.
    The Era of ‘Woke’ Brand Activism Is Over In the wake of Donald Trump’s attacks on DEI and trans Americans, major corporations have pulled out of Pride and Juneteenth. Some are pushing ultra nationalist messages instead.
    The Era of ‘Woke’ Brand Activism Is Over
    In the wake of Donald Trump’s attacks on DEI and trans Americans, major corporations have pulled out of Pride and Juneteenth. Some are pushing ultra nationalist messages instead.
    1 Comentários 0 Compartilhamentos
  • NVIDIA CEO Drops the Blueprint for Europe’s AI Boom

    At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it.
    “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris.
    From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future.

    A New Industrial Revolution
    At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing.
    “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance.
    At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware.
    There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers.
    Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue.
    NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth.
    Quantum Meets Classical
    Europe’s quantum ambitions just got a boost.
    The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems.
    Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction.
    “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.”
    Sovereign Models, Smarter Agents
    European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs.
    “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said.
    These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe.
    “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said.
    Huang explained how NVIDIA is helping countries across Europe build AI infrastructure.
    Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments.
    The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents.
    To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity.
    “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute.
    The Industrial Cloud Goes Live
    AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution.
    “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent.
    Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.”
    To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale.
    “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.”
    NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation.
    And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics.
    The Next Wave
    The next wave of AI has begun — and it’s exponential, Huang explained.
    “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.”
    This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said.
    To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.”
    Huang and Grek, as he explained how AI is driving advancements in robotics.
    These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence.
    “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.”
    With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe.
    Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions.
    #nvidia #ceo #drops #blueprint #europes
    NVIDIA CEO Drops the Blueprint for Europe’s AI Boom
    At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future. A New Industrial Revolution At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing. “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance. At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware. There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers. Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue. NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth. Quantum Meets Classical Europe’s quantum ambitions just got a boost. The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems. Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction. “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.” Sovereign Models, Smarter Agents European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs. “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said. These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe. “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said. Huang explained how NVIDIA is helping countries across Europe build AI infrastructure. Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments. The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents. To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity. “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute. The Industrial Cloud Goes Live AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution. “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent. Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.” To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale. “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.” NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation. And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics. The Next Wave The next wave of AI has begun — and it’s exponential, Huang explained. “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.” This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said. To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.” Huang and Grek, as he explained how AI is driving advancements in robotics. These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence. “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.” With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe. Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions. #nvidia #ceo #drops #blueprint #europes
    BLOGS.NVIDIA.COM
    NVIDIA CEO Drops the Blueprint for Europe’s AI Boom
    At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future. A New Industrial Revolution At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing. “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance. At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware. There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers. Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue. NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth. Quantum Meets Classical Europe’s quantum ambitions just got a boost. The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems. Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction. “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.” Sovereign Models, Smarter Agents European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs. “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said. These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe. “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said. Huang explained how NVIDIA is helping countries across Europe build AI infrastructure. Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments. The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents. To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity. “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute. The Industrial Cloud Goes Live AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution. “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent. Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.” To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale. “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.” NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation. And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics. The Next Wave The next wave of AI has begun — and it’s exponential, Huang explained. “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.” This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said. To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.” Huang and Grek, as he explained how AI is driving advancements in robotics. These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence. “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.” With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe. Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions.
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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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  • Windows' Blue Screen Of Death Is Dead, Long Live Black Screen Of Death

    Windows users will dread the familiar sight of the Blue Screen of Deathwhenever they encounter an error. But after nearly 40 years, Microsoft will be retiring this infamous error message, or rather giving it a new color.The company has redesigned the error screen to what will soon be known as the Black Screen of Death. Compared to the current screen, which includes a frowning emoticon and sometimes a QR code, this black screen is more simplified, listing the stop code and faulty system driver.In an interview with The Verge, Microsoft's vice president of enterprise and OS security David Weston said, “This is really an attempt on clarity and providing better information and allowing us and customers to really get to what the core of the issue is so we can fix it faster. Part of it is just cleaner information on what exactly went wrong, where it’s Windows versus a component.”Continue Reading at GameSpot
    #windows039 #blue #screen #death #dead
    Windows' Blue Screen Of Death Is Dead, Long Live Black Screen Of Death
    Windows users will dread the familiar sight of the Blue Screen of Deathwhenever they encounter an error. But after nearly 40 years, Microsoft will be retiring this infamous error message, or rather giving it a new color.The company has redesigned the error screen to what will soon be known as the Black Screen of Death. Compared to the current screen, which includes a frowning emoticon and sometimes a QR code, this black screen is more simplified, listing the stop code and faulty system driver.In an interview with The Verge, Microsoft's vice president of enterprise and OS security David Weston said, “This is really an attempt on clarity and providing better information and allowing us and customers to really get to what the core of the issue is so we can fix it faster. Part of it is just cleaner information on what exactly went wrong, where it’s Windows versus a component.”Continue Reading at GameSpot #windows039 #blue #screen #death #dead
    WWW.GAMESPOT.COM
    Windows' Blue Screen Of Death Is Dead, Long Live Black Screen Of Death
    Windows users will dread the familiar sight of the Blue Screen of Death (BSOD) whenever they encounter an error. But after nearly 40 years, Microsoft will be retiring this infamous error message, or rather giving it a new color.The company has redesigned the error screen to what will soon be known as the Black Screen of Death. Compared to the current screen, which includes a frowning emoticon and sometimes a QR code, this black screen is more simplified, listing the stop code and faulty system driver.In an interview with The Verge, Microsoft's vice president of enterprise and OS security David Weston said, “This is really an attempt on clarity and providing better information and allowing us and customers to really get to what the core of the issue is so we can fix it faster. Part of it is just cleaner information on what exactly went wrong, where it’s Windows versus a component.”Continue Reading at GameSpot
    0 Comentários 0 Compartilhamentos
  • Le Festival d’Annecy 2025, c'est encore une fois la même rengaine : des promesses de magie et d'émerveillement, mais au final, que des discours creux et des illusions. Michel Gondry se confie, mais est-ce vraiment le moment de parler quand tant de problèmes persistent dans le secteur de l’animation ? On dirait que le festival se contente de briller en surface, pendant que les véritables enjeux restent ignorés. L'animation mérite mieux que des rencontres superficielles et un networking qui ne mène à rien. Pourquoi continuer à célébrer un événement qui ne fait que masquer les véritables défis de l'industrie ? Reveillez-vous, organisateurs ! Arrêtez de nous
    Le Festival d’Annecy 2025, c'est encore une fois la même rengaine : des promesses de magie et d'émerveillement, mais au final, que des discours creux et des illusions. Michel Gondry se confie, mais est-ce vraiment le moment de parler quand tant de problèmes persistent dans le secteur de l’animation ? On dirait que le festival se contente de briller en surface, pendant que les véritables enjeux restent ignorés. L'animation mérite mieux que des rencontres superficielles et un networking qui ne mène à rien. Pourquoi continuer à célébrer un événement qui ne fait que masquer les véritables défis de l'industrie ? Reveillez-vous, organisateurs ! Arrêtez de nous
    Festival d’Annecy, jour 1 : Michel Gondry se confie, le Festival nous en met plein les yeux
    C’est sous un temps ensoleillé que le Festival d’Annecy 2025 a ouvert ses portes dimanche. Dès samedi, de nombreuses personnes (dont une partie de l’équipe 3DVF) étaient sur place, afin de profiter du Festival dès son lancement et d
    1 Comentários 0 Compartilhamentos
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