• The Hidden Tech That Makes Assassin's Creed Shadows Feel More Alive (And Not Require 2TB)

    Most of what happens within the video games we play is invisible to us. Even the elements we're looking straight at work because of what's happening behind the scenes. If you've ever watched a behind-the-scenes video about game development, you might've seen these versions of flat, gray game worlds filled with lines and icons pointing every which way, with multiple grids and layers. These are the visual representations of all the systems that make the game work.Assassin's Creed ShadowsThis is an especially weird dichotomy to consider when it comes to lighting in any game with a 3D perspective, but especially so in high-fidelity games. We don't see light so much as we see everything it touches; it's invisible, but it gives us most of our information about game worlds. And it's a lot more complex than "turn on lamp, room light up." Reflection, absorption, diffusion, subsurface scattering--the movement of light is a complex thing that has been explored by physicists in the real world for literally centuries, and will likely be studied for centuries more. In the middle of all of that are game designers, applying the science of light to video games in practical ways, balanced with the limitations of even today's powerful GPUs, just to show all us nerds a good time.If you've wondered why many games seem to be like static amusement parks waiting for you to interact with a few specific things, lighting is often the reason. But it's also the reason more and more game worlds look vibrant and lifelike. Game developers have gotten good at simulating static lighting, but making it move is harder. Dynamic lighting has long been computationally expensive, potentially tanking game performance, and we're finally starting to see that change.Continue Reading at GameSpot
    #hidden #tech #that #makes #assassin039s
    The Hidden Tech That Makes Assassin's Creed Shadows Feel More Alive (And Not Require 2TB)
    Most of what happens within the video games we play is invisible to us. Even the elements we're looking straight at work because of what's happening behind the scenes. If you've ever watched a behind-the-scenes video about game development, you might've seen these versions of flat, gray game worlds filled with lines and icons pointing every which way, with multiple grids and layers. These are the visual representations of all the systems that make the game work.Assassin's Creed ShadowsThis is an especially weird dichotomy to consider when it comes to lighting in any game with a 3D perspective, but especially so in high-fidelity games. We don't see light so much as we see everything it touches; it's invisible, but it gives us most of our information about game worlds. And it's a lot more complex than "turn on lamp, room light up." Reflection, absorption, diffusion, subsurface scattering--the movement of light is a complex thing that has been explored by physicists in the real world for literally centuries, and will likely be studied for centuries more. In the middle of all of that are game designers, applying the science of light to video games in practical ways, balanced with the limitations of even today's powerful GPUs, just to show all us nerds a good time.If you've wondered why many games seem to be like static amusement parks waiting for you to interact with a few specific things, lighting is often the reason. But it's also the reason more and more game worlds look vibrant and lifelike. Game developers have gotten good at simulating static lighting, but making it move is harder. Dynamic lighting has long been computationally expensive, potentially tanking game performance, and we're finally starting to see that change.Continue Reading at GameSpot #hidden #tech #that #makes #assassin039s
    WWW.GAMESPOT.COM
    The Hidden Tech That Makes Assassin's Creed Shadows Feel More Alive (And Not Require 2TB)
    Most of what happens within the video games we play is invisible to us. Even the elements we're looking straight at work because of what's happening behind the scenes. If you've ever watched a behind-the-scenes video about game development, you might've seen these versions of flat, gray game worlds filled with lines and icons pointing every which way, with multiple grids and layers. These are the visual representations of all the systems that make the game work.Assassin's Creed ShadowsThis is an especially weird dichotomy to consider when it comes to lighting in any game with a 3D perspective, but especially so in high-fidelity games. We don't see light so much as we see everything it touches; it's invisible, but it gives us most of our information about game worlds. And it's a lot more complex than "turn on lamp, room light up." Reflection, absorption, diffusion, subsurface scattering--the movement of light is a complex thing that has been explored by physicists in the real world for literally centuries, and will likely be studied for centuries more. In the middle of all of that are game designers, applying the science of light to video games in practical ways, balanced with the limitations of even today's powerful GPUs, just to show all us nerds a good time.If you've wondered why many games seem to be like static amusement parks waiting for you to interact with a few specific things, lighting is often the reason. But it's also the reason more and more game worlds look vibrant and lifelike. Game developers have gotten good at simulating static lighting, but making it move is harder. Dynamic lighting has long been computationally expensive, potentially tanking game performance, and we're finally starting to see that change.Continue Reading at GameSpot
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  • iCity 1.5 may promise procedural 3D cities inside Blender, but let’s face it: it’s just another half-baked tool that fails to deliver on its hype. The updates to road generation are nothing but a band-aid on a gaping wound! Users are left to deal with clunky interfaces and frustrating limitations that hinder creativity rather than enhance it. Why are we settling for mediocrity in a time when technology should be pushing boundaries? This tool should make city planning seamless, yet here we are, wasting time and energy on a subpar experience. It’s time to demand better!

    #iCity #3DModeling #Blender #TechFail #CityPlanning
    iCity 1.5 may promise procedural 3D cities inside Blender, but let’s face it: it’s just another half-baked tool that fails to deliver on its hype. The updates to road generation are nothing but a band-aid on a gaping wound! Users are left to deal with clunky interfaces and frustrating limitations that hinder creativity rather than enhance it. Why are we settling for mediocrity in a time when technology should be pushing boundaries? This tool should make city planning seamless, yet here we are, wasting time and energy on a subpar experience. It’s time to demand better! #iCity #3DModeling #Blender #TechFail #CityPlanning
    iCity 1.5 generates procedural 3D cities inside Blender
    Plan out city layouts and have this neat tool populate them with 3D buildings. Check out the updates to road generation in the 1.5 release.
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  • It's astounding how many people still cling to outdated notions when it comes to the choice between hardware and software for electronics projects. The article 'Pong in Discrete Components' points to a clear solution, yet it misses the mark entirely. Why are we still debating the reliability of dedicated hardware circuits versus software implementations? Are we really that complacent?

    Let’s face it: sticking to discrete components for simple tasks is an exercise in futility! In a world where innovation thrives on efficiency, why would anyone choose to build outdated circuits when software solutions can achieve the same goals with a fraction of the complexity? It’s mind-boggling! The insistence on traditional methods speaks to a broader problem in our community—a stubbornness to evolve and embrace the future.

    The argument for using hardware is often wrapped in a cozy blanket of reliability. But let’s be honest, how reliable is that? Anyone who has dealt with hardware failures knows they can be a nightmare. Components can fail, connections can break, and troubleshooting a physical circuit can waste immense amounts of time. Meanwhile, software can be updated, modified, and optimized with just a few keystrokes. Why are we so quick to glorify something that is inherently flawed?

    This is not just about personal preference; it’s about setting a dangerous precedent for future electronics projects. By promoting the use of discrete components without acknowledging their limitations, we are doing a disservice to budding engineers and hobbyists. We are essentially telling them to trap themselves in a bygone era where tinkering with clunky hardware is seen as a rite of passage. It’s ridiculous!

    Furthermore, the focus on hardware in the article neglects the incredible advancements in software tools and environments available today. Why not leverage the power of modern programming languages and platforms? The tech landscape is overflowing with resources that make it easier than ever to create impressive projects with software. Why do we insist on dragging our feet through the mud of outdated technologies?

    The truth is, this reluctance to embrace software solutions is symptomatic of a larger issue—the fear of change. Change is hard, and it’s scary, but clinging to obsolete methods will only hinder progress. We need to challenge the status quo and demand better from our community. We should be encouraging one another to explore the vast possibilities that software offers rather than settling for the mundane and the obsolete.

    Let’s stop romanticizing the past and start looking forward. The world of electronics is rapidly evolving, and it’s time we caught up. Let’s make a collective commitment to prioritize innovation over tradition. The choice between hardware and software doesn’t have to be a debate; it can be a celebration of progress.

    #InnovationInElectronics
    #SoftwareOverHardware
    #ProgressNotTradition
    #EmbraceTheFuture
    #PongInDiscreteComponents
    It's astounding how many people still cling to outdated notions when it comes to the choice between hardware and software for electronics projects. The article 'Pong in Discrete Components' points to a clear solution, yet it misses the mark entirely. Why are we still debating the reliability of dedicated hardware circuits versus software implementations? Are we really that complacent? Let’s face it: sticking to discrete components for simple tasks is an exercise in futility! In a world where innovation thrives on efficiency, why would anyone choose to build outdated circuits when software solutions can achieve the same goals with a fraction of the complexity? It’s mind-boggling! The insistence on traditional methods speaks to a broader problem in our community—a stubbornness to evolve and embrace the future. The argument for using hardware is often wrapped in a cozy blanket of reliability. But let’s be honest, how reliable is that? Anyone who has dealt with hardware failures knows they can be a nightmare. Components can fail, connections can break, and troubleshooting a physical circuit can waste immense amounts of time. Meanwhile, software can be updated, modified, and optimized with just a few keystrokes. Why are we so quick to glorify something that is inherently flawed? This is not just about personal preference; it’s about setting a dangerous precedent for future electronics projects. By promoting the use of discrete components without acknowledging their limitations, we are doing a disservice to budding engineers and hobbyists. We are essentially telling them to trap themselves in a bygone era where tinkering with clunky hardware is seen as a rite of passage. It’s ridiculous! Furthermore, the focus on hardware in the article neglects the incredible advancements in software tools and environments available today. Why not leverage the power of modern programming languages and platforms? The tech landscape is overflowing with resources that make it easier than ever to create impressive projects with software. Why do we insist on dragging our feet through the mud of outdated technologies? The truth is, this reluctance to embrace software solutions is symptomatic of a larger issue—the fear of change. Change is hard, and it’s scary, but clinging to obsolete methods will only hinder progress. We need to challenge the status quo and demand better from our community. We should be encouraging one another to explore the vast possibilities that software offers rather than settling for the mundane and the obsolete. Let’s stop romanticizing the past and start looking forward. The world of electronics is rapidly evolving, and it’s time we caught up. Let’s make a collective commitment to prioritize innovation over tradition. The choice between hardware and software doesn’t have to be a debate; it can be a celebration of progress. #InnovationInElectronics #SoftwareOverHardware #ProgressNotTradition #EmbraceTheFuture #PongInDiscreteComponents
    HACKADAY.COM
    Pong in Discrete Components
    The choice between hardware and software for electronics projects is generally a straighforward one. For simple tasks we might build dedicated hardware circuits out of discrete components for reliability and …read more
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  • ## Introduction

    In recent months, the French government has implemented strict regulations that have led to the closure of popular adult websites such as PornHub, YouPorn, and RedTube. These measures, aimed at controlling the online adult content market, have left many users frustrated and seeking ways to regain access to their favorite sites. This article will explore the implications of these restrictions, the reasons behind them, and how individuals can circumvent these limitations.

    ## The...
    ## Introduction In recent months, the French government has implemented strict regulations that have led to the closure of popular adult websites such as PornHub, YouPorn, and RedTube. These measures, aimed at controlling the online adult content market, have left many users frustrated and seeking ways to regain access to their favorite sites. This article will explore the implications of these restrictions, the reasons behind them, and how individuals can circumvent these limitations. ## The...
    Débloquer PornHub, YouPorn, RedTube en France : retrouvez un accès illimité
    ## Introduction In recent months, the French government has implemented strict regulations that have led to the closure of popular adult websites such as PornHub, YouPorn, and RedTube. These measures, aimed at controlling the online adult content market, have left many users frustrated and seeking ways to regain access to their favorite sites. This article will explore the implications of...
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  • Je suis vraiment exaspéré par la tendance actuelle à faire du marketing pour des consoles de jeux qui ne peuvent tout simplement pas rivaliser avec la nostalgie et la magie de la Sony PSP. Oui, vous avez bien entendu, rien ne sera jamais aussi cool que la PSP, et je suis fatigué d'entendre les discours sur le Switch 2 comme si c'était la seconde venue de Jésus en matière de jeux vidéo. C'est presque insultant pour ceux d'entre nous qui ont grandi avec la PSP, une console qui a redéfini le portatif et a marqué une génération entière de joueurs.

    La Sony PSP n'était pas simplement un gadget ; c'était une expérience. Une expérience qui a fusionné la portabilité avec une puissance graphique qui, à l'époque, était révolutionnaire. Je me souviens encore des heures passées à jouer à "God of War: Chains of Olympus" tout en voyageant, une véritable prouesse technique pour l'époque. Et maintenant, on nous dit que le Switch 2 va tout balayer sur son passage ? Allons donc ! Comparer ces deux consoles est un affront à l'héritage de la PSP. Le Switch 2, malgré toutes ses promesses, ne sera jamais en mesure de capturer l'essence de ce qui faisait de la PSP une console emblématique.

    Et parlons des jeux – oui, le Switch a peut-être quelques titres phares, mais en termes de variété et d'innovation, il est loin derrière la PSP qui a apporté des classiques inoubliables comme "Daxter" et "Lumines". Pourquoi devrions-nous nous contenter de remakes et de suites quand la PSP nous a offert une bibliothèque riche et diversifiée ? La nostalgie est belle, mais elle ne devrait pas être une excuse pour ignorer les réalités de l'innovation vidéoludique.

    Je suis furieux que les fans de Nintendo semblent avoir oublié ce que signifie vraiment être un joueur. Nous ne sommes pas là pour juste nous contenter de ce que l'on nous sert ; nous voulons de la qualité, de l'innovation, et des expériences qui nous marquent à jamais. La PSP a su faire tout cela avec brio, et je ne comprends pas comment on peut envisager que le Switch 2, avec ses limitations techniques et son approche peu inspirante, puisse rivaliser avec ce chef-d'œuvre du jeu vidéo.

    Alors, réveillez-vous, les fans ! Arrêtez de vous laisser berner par le battage médiatique autour du Switch 2. Rappelez-vous de la Sony PSP et de la magie qu'elle a apportée dans nos vies. Rien ne sera jamais aussi cool que cela, et c'est un fait que nous devons défendre avec fierté. Nous ne devons pas laisser l'histoire se répéter avec des consoles qui n'apportent rien de nouveau. Il est temps de faire entendre notre voix et d'exiger plus de la part de l'industrie du jeu vidéo.

    #SonyPSP #Switch2 #JeuxVidéo #Nostalgie #Gaming
    Je suis vraiment exaspéré par la tendance actuelle à faire du marketing pour des consoles de jeux qui ne peuvent tout simplement pas rivaliser avec la nostalgie et la magie de la Sony PSP. Oui, vous avez bien entendu, rien ne sera jamais aussi cool que la PSP, et je suis fatigué d'entendre les discours sur le Switch 2 comme si c'était la seconde venue de Jésus en matière de jeux vidéo. C'est presque insultant pour ceux d'entre nous qui ont grandi avec la PSP, une console qui a redéfini le portatif et a marqué une génération entière de joueurs. La Sony PSP n'était pas simplement un gadget ; c'était une expérience. Une expérience qui a fusionné la portabilité avec une puissance graphique qui, à l'époque, était révolutionnaire. Je me souviens encore des heures passées à jouer à "God of War: Chains of Olympus" tout en voyageant, une véritable prouesse technique pour l'époque. Et maintenant, on nous dit que le Switch 2 va tout balayer sur son passage ? Allons donc ! Comparer ces deux consoles est un affront à l'héritage de la PSP. Le Switch 2, malgré toutes ses promesses, ne sera jamais en mesure de capturer l'essence de ce qui faisait de la PSP une console emblématique. Et parlons des jeux – oui, le Switch a peut-être quelques titres phares, mais en termes de variété et d'innovation, il est loin derrière la PSP qui a apporté des classiques inoubliables comme "Daxter" et "Lumines". Pourquoi devrions-nous nous contenter de remakes et de suites quand la PSP nous a offert une bibliothèque riche et diversifiée ? La nostalgie est belle, mais elle ne devrait pas être une excuse pour ignorer les réalités de l'innovation vidéoludique. Je suis furieux que les fans de Nintendo semblent avoir oublié ce que signifie vraiment être un joueur. Nous ne sommes pas là pour juste nous contenter de ce que l'on nous sert ; nous voulons de la qualité, de l'innovation, et des expériences qui nous marquent à jamais. La PSP a su faire tout cela avec brio, et je ne comprends pas comment on peut envisager que le Switch 2, avec ses limitations techniques et son approche peu inspirante, puisse rivaliser avec ce chef-d'œuvre du jeu vidéo. Alors, réveillez-vous, les fans ! Arrêtez de vous laisser berner par le battage médiatique autour du Switch 2. Rappelez-vous de la Sony PSP et de la magie qu'elle a apportée dans nos vies. Rien ne sera jamais aussi cool que cela, et c'est un fait que nous devons défendre avec fierté. Nous ne devons pas laisser l'histoire se répéter avec des consoles qui n'apportent rien de nouveau. Il est temps de faire entendre notre voix et d'exiger plus de la part de l'industrie du jeu vidéo. #SonyPSP #Switch2 #JeuxVidéo #Nostalgie #Gaming
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  • Hello, amazing friends! Today, I am absolutely thrilled to share an extraordinary breakthrough in the world of medical science that is sure to inspire all of us!

    Imagine a child, full of dreams and laughter, facing challenges that seem insurmountable. Now, picture a groundbreaking innovation that not only transforms lives but also brings hope and joy back into the heart of a family! This is exactly what the pioneering achievement of the first-ever complete femur transplant printed in 3D for a pediatric patient represents!

    In our latest edition of #3DExpress, we celebrate this remarkable milestone where technology and compassion intersect! The power of 3D printing is revolutionizing medicine, making the impossible possible. This incredible prosthesis wasn’t just designed; it was tailored specifically for a young hero who needed it the most. The precision and customization that 3D printing allows means that every single detail is crafted to fit perfectly, ensuring comfort and functionality. How amazing is that?

    This isn't just a medical achievement; it's a story of resilience, hope, and the unyielding spirit of innovation! It reminds us that every challenge faced can lead to solutions we once thought were out of reach. As we follow the journey of this young patient, we are reminded of the strength of community and the power of support. Together, we can uplift each other, foster creativity, and inspire breakthroughs that change lives!

    Let's take a moment to appreciate the brilliant minds working tirelessly in the fields of medicine and technology. Their dedication and ingenuity are paving the way for a brighter future where all children can thrive, free from limitations! This is not just about science; it's about hope, possibilities, and the relentless pursuit of a better tomorrow!

    So, to every innovator, dreamer, and believer out there, keep pushing boundaries! The world needs your light! Let’s celebrate this wonderful achievement and continue to spread positivity and support for those who are working to make the world a better place, one innovation at a time!

    Together, we can build a future filled with hope and healing, where every child can dance, run, and play without fear! Let’s keep the momentum going!

    #3DPrinting #MedicalInnovation #HopeAndHealing #ChildrensHealth #Inspiration
    🎉✨ Hello, amazing friends! Today, I am absolutely thrilled to share an extraordinary breakthrough in the world of medical science that is sure to inspire all of us! 💖🚀 Imagine a child, full of dreams and laughter, facing challenges that seem insurmountable. Now, picture a groundbreaking innovation that not only transforms lives but also brings hope and joy back into the heart of a family! This is exactly what the pioneering achievement of the first-ever complete femur transplant printed in 3D for a pediatric patient represents! 🦴💫 In our latest edition of #3DExpress, we celebrate this remarkable milestone where technology and compassion intersect! 🎊 The power of 3D printing is revolutionizing medicine, making the impossible possible. This incredible prosthesis wasn’t just designed; it was tailored specifically for a young hero who needed it the most. The precision and customization that 3D printing allows means that every single detail is crafted to fit perfectly, ensuring comfort and functionality. How amazing is that? 🌈👏 This isn't just a medical achievement; it's a story of resilience, hope, and the unyielding spirit of innovation! 💪🌟 It reminds us that every challenge faced can lead to solutions we once thought were out of reach. As we follow the journey of this young patient, we are reminded of the strength of community and the power of support. Together, we can uplift each other, foster creativity, and inspire breakthroughs that change lives! 🌍❤️ Let's take a moment to appreciate the brilliant minds working tirelessly in the fields of medicine and technology. Their dedication and ingenuity are paving the way for a brighter future where all children can thrive, free from limitations! This is not just about science; it's about hope, possibilities, and the relentless pursuit of a better tomorrow! 🌅💕 So, to every innovator, dreamer, and believer out there, keep pushing boundaries! The world needs your light! Let’s celebrate this wonderful achievement and continue to spread positivity and support for those who are working to make the world a better place, one innovation at a time! 🌟🌈 Together, we can build a future filled with hope and healing, where every child can dance, run, and play without fear! Let’s keep the momentum going! #3DPrinting #MedicalInnovation #HopeAndHealing #ChildrensHealth #Inspiration
    #3DExpress: La primera prótesis de fémur impresa en 3D para un paciente pediátrico
    Bienvenidos a una nueva entrega del 3DExpress, el espacio en que les compartimos noticias rápidas y variadas del mundo de la impresión 3D. Comenzamos con hito médico. El primer trasplante de fémur completo impreso en 3D realizado a un niño…
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  • The AI execution gap: Why 80% of projects don’t reach production

    Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle.
    #execution #gap #why #projects #dont
    The AI execution gap: Why 80% of projects don’t reach production
    Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle. #execution #gap #why #projects #dont
    WWW.ARTIFICIALINTELLIGENCE-NEWS.COM
    The AI execution gap: Why 80% of projects don’t reach production
    Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least $1 million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle.(Image source: Unsplash)
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  • AU Deals: Today's Hottest AAA Discounts to Heat Up Your Game Cave Winter Hibernation

    Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark.
    Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls andbugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill1999. Redux- Marvel vs. Capcom 22000. Redux- The Conduit2009. eBay- Monster Hunter Generations2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for Aa lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at Aa spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal- ABravely Default II- ASonic Frontiers- ASonic x Shadow Generations- ANBA 2K25- AMetal Gear Col.- AExpiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ |
    Switch Original: $̶4̶9̶9̶ |
    Switch OLED Black: $̶5̶3̶9̶ |
    Switch OLED White: $̶5̶3̶9̶ ♥ |
    Switch Lite: $̶3̶2̶9̶ |
    Switch Lite Hyrule: $̶3̶3̶9̶ See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at Afinally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous Aand despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2- ASuicide Squad: KTJL- AWild Hearts- AAvatar: Pandora Gold Ed.- AHogwarts Legacy- AXbox OneTopSpin 2K25- ASunset Overdrive- AAlan Wake Rem.- AExpiring Recent DealsThe Witcher 3 Comp.- ATekken 8- ANBA 2K25- AFarming Simulator 25- AFC 25- ARed Dead Redemption 2- ALies of P- ALego Jurassic World- AOr just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ |
    Series S Black: $̶5̶4̶9̶ |
    Series S White:$̶4̶9̶9̶ |
    Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to Aletting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. Meanwhile, Ratchet & Clank: Rift Apart for Ais a tech marvel that started life as a PS4 title, before being fully rebuilt to show off the PS5’s SSD.PS4God of War Ragnarök- AGran Turismo 7- AWatch Dogs: Legion- AExpiring Recent DealsPS+ Monthly FreebiesYours to keep from May 1 with this subscriptionArk: Survival AscendedBalatroWarhammer 40,000: BoltgunOr purchase a PS Store Card.What you'll pay to 'Station.PS5 + Astro Bot:$̶7̶2̶4̶.9̶5̶ |
    PS5 Slim Disc:$̶7̶9̶9̶ |
    PS5 Slim Digital:6̶7̶9̶ |
    PS5 Pro $̶1̶,1̶9̶9̶ |
    PS VR2: |
    PS VR2 + Horizon: |
    PS Portal: See itBack to topPurchase Cheap for PCOn PC, Resident Evil 4 is a steal at Aa stunning remake where the developers added extra charm to Leon’s famous “Where’s everyone going, bingo?” line by letting players unlock vintage filters that emulate 2005-era graphics. Also notable is Lies of P at Athe Pinocchio-meets-Bloodborne mash-up that lets you lie in dialogue choices for combat perks.Lies of P- AThe Alters- AClair Obscur: Expedition 33- ASilent Hill 2- AForza Horizon 5- AResident Evil 4- AExpiring Recent DealsOr just get a Steam Wallet CardPC Hardware PricesSlay your pile of shame.Official launch in NovSteam Deck 256GB LCD: |
    Steam Deck 512GB OLED: |
    Steam Deck 1TB OLED: See it at SteamLaptop DealsDesktop DealsLenovo neo 50a G5 27" AIO– ALenovo neo 50q G4 Tiny– ALenovo neo 50t G5 Tower– ALegion Tower 5i G8– AMonitor DealsSamsung QE50T 50"– AARZOPA 16.1" 144Hz– AZ-Edge 27" 240Hz– AGawfolk 34" WQHD– ALG 27" Ultragear– AComponent DealsStorage DealsBack to topLegit LEGO DealsExpiring Recent DealsBack to topHot Headphones DealsAudiophilia for lessBose QuietComfort Ultra Wireless– ASoundcore by Anker Q20i– ASony MDR7506 Professional– ATechnics Premium– ABose SoundLink Flex– AJBL Charge 5 - Portable Speaker– AJBL Flip Essential 2 Waterproof Speaker– ASony SRS-XB100 Travel Speaker– AUltimate Ears Boom 3 Portable Speaker– ASamsung Galaxy Buds2 Pro– ASennheiser Momentum 4 Wireless– ABack to topTerrific TV DealsDo right by your console, upgrade your tellyLG 43" UT80 4K– AKogan 65" QLED 4K– AKogan 55" QLED 4K– ALG 55" UT80 4K– APrism+ Q75 Ultra 75" 4K QLED– AGaimoo Mini Projector 1080p w/ 4K– AGooDee 4K Projector– AVOPLLS Mini Projector 4K– AXuanPad Mini Projector– ALG S70TY Q Series Sound Barn*-22%) – ASony HTG700 Atmos Soundbar– AYamaha NS-SW050 Subwoofer– ASmart Home DealsBack to top Adam Mathew is our Aussie deals wrangler. He plays practically everything, often on YouTube.
    #deals #today039s #hottest #aaa #discounts
    AU Deals: Today's Hottest AAA Discounts to Heat Up Your Game Cave Winter Hibernation
    Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming 🎂In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark. Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls andbugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill1999. Redux- Marvel vs. Capcom 22000. Redux- The Conduit2009. eBay- Monster Hunter Generations2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for Aa lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at Aa spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal- ABravely Default II- ASonic Frontiers- ASonic x Shadow Generations- ANBA 2K25- AMetal Gear Col.- AExpiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ | Switch Original: $̶4̶9̶9̶ | Switch OLED Black: $̶5̶3̶9̶ | Switch OLED White: $̶5̶3̶9̶ ♥ | Switch Lite: $̶3̶2̶9̶ | Switch Lite Hyrule: $̶3̶3̶9̶ See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at Afinally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous Aand despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2- ASuicide Squad: KTJL- AWild Hearts- AAvatar: Pandora Gold Ed.- AHogwarts Legacy- AXbox OneTopSpin 2K25- ASunset Overdrive- AAlan Wake Rem.- AExpiring Recent DealsThe Witcher 3 Comp.- ATekken 8- ANBA 2K25- AFarming Simulator 25- AFC 25- ARed Dead Redemption 2- ALies of P- ALego Jurassic World- AOr just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ 👑| Series S Black: $̶5̶4̶9̶ | Series S White:$̶4̶9̶9̶ | Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to Aletting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. Meanwhile, Ratchet & Clank: Rift Apart for Ais a tech marvel that started life as a PS4 title, before being fully rebuilt to show off the PS5’s SSD.PS4God of War Ragnarök- AGran Turismo 7- AWatch Dogs: Legion- AExpiring Recent DealsPS+ Monthly FreebiesYours to keep from May 1 with this subscriptionArk: Survival AscendedBalatroWarhammer 40,000: BoltgunOr purchase a PS Store Card.What you'll pay to 'Station.PS5 + Astro Bot:$̶7̶2̶4̶.9̶5̶ 👑 | PS5 Slim Disc:$̶7̶9̶9̶ | PS5 Slim Digital:6̶7̶9̶ | PS5 Pro $̶1̶,1̶9̶9̶ | PS VR2: | PS VR2 + Horizon: | PS Portal: See itBack to topPurchase Cheap for PCOn PC, Resident Evil 4 is a steal at Aa stunning remake where the developers added extra charm to Leon’s famous “Where’s everyone going, bingo?” line by letting players unlock vintage filters that emulate 2005-era graphics. Also notable is Lies of P at Athe Pinocchio-meets-Bloodborne mash-up that lets you lie in dialogue choices for combat perks.Lies of P- AThe Alters- AClair Obscur: Expedition 33- ASilent Hill 2- AForza Horizon 5- AResident Evil 4- AExpiring Recent DealsOr just get a Steam Wallet CardPC Hardware PricesSlay your pile of shame.Official launch in NovSteam Deck 256GB LCD: | Steam Deck 512GB OLED: | Steam Deck 1TB OLED: See it at SteamLaptop DealsDesktop DealsLenovo neo 50a G5 27" AIO– ALenovo neo 50q G4 Tiny– ALenovo neo 50t G5 Tower– ALegion Tower 5i G8– AMonitor DealsSamsung QE50T 50"– AARZOPA 16.1" 144Hz– AZ-Edge 27" 240Hz– AGawfolk 34" WQHD– ALG 27" Ultragear– AComponent DealsStorage DealsBack to topLegit LEGO DealsExpiring Recent DealsBack to topHot Headphones DealsAudiophilia for lessBose QuietComfort Ultra Wireless– ASoundcore by Anker Q20i– ASony MDR7506 Professional– ATechnics Premium– ABose SoundLink Flex– AJBL Charge 5 - Portable Speaker– AJBL Flip Essential 2 Waterproof Speaker– ASony SRS-XB100 Travel Speaker– AUltimate Ears Boom 3 Portable Speaker– ASamsung Galaxy Buds2 Pro– ASennheiser Momentum 4 Wireless– ABack to topTerrific TV DealsDo right by your console, upgrade your tellyLG 43" UT80 4K– AKogan 65" QLED 4K– AKogan 55" QLED 4K– ALG 55" UT80 4K– APrism+ Q75 Ultra 75" 4K QLED– AGaimoo Mini Projector 1080p w/ 4K– AGooDee 4K Projector– AVOPLLS Mini Projector 4K– AXuanPad Mini Projector– ALG S70TY Q Series Sound Barn*-22%) – ASony HTG700 Atmos Soundbar– AYamaha NS-SW050 Subwoofer– ASmart Home DealsBack to top Adam Mathew is our Aussie deals wrangler. He plays practically everything, often on YouTube. #deals #today039s #hottest #aaa #discounts
    WWW.IGN.COM
    AU Deals: Today's Hottest AAA Discounts to Heat Up Your Game Cave Winter Hibernation
    Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming 🎂In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark. Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls and (hardware induced) bugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill (PS) 1999. Redux- Marvel vs. Capcom 2 (DC) 2000. Redux- The Conduit (Wii) 2009. eBay- Monster Hunter Generations (3DS) 2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for A$66.60, a lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at A$63.10, a spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal (-33%) - A$66.60Bravely Default II (-21%) - A$63.10Sonic Frontiers (-53%) - A$47Sonic x Shadow Generations (-35%) - A$49NBA 2K25 (-79%) - A$19Metal Gear Col. (-50%) - A$45Expiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ $538 | Switch Original: $̶4̶9̶9̶ $448 | Switch OLED Black: $̶5̶3̶9̶ $469 | Switch OLED White: $̶5̶3̶9̶ $449 ♥ | Switch Lite: $̶3̶2̶9̶ $328 | Switch Lite Hyrule: $̶3̶3̶9̶ $335See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at A$49.90, finally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous A$9.90, and despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2 (-54%) - A$49.90Suicide Squad: KTJL (-91%) - A$9.90Wild Hearts (-83%) - A$19Avatar: Pandora Gold Ed. (-69%) - A$49.90Hogwarts Legacy (-75%) - A$27.40Xbox OneTopSpin 2K25 (-88%) - A$14.90Sunset Overdrive (-36%) - A$19.20Alan Wake Rem. (-85%) - A$6.70Expiring Recent DealsThe Witcher 3 Comp. (-56%) - A$34.80Tekken 8 (-53%) - A$39.90NBA 2K25 (-80%) - A$24Farming Simulator 25 (-32%) - A$68FC 25 (-57%) - A$34Red Dead Redemption 2 (-78%) - A$20Lies of P (-19%) - A$73Lego Jurassic World (-65%) - A$22.50Or just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ $724 👑| Series S Black: $̶5̶4̶9̶ $545 | Series S White:$̶4̶9̶9̶ $498 | Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to A$39, letting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. Meanwhile, Ratchet & Clank: Rift Apart for A$54 is a tech marvel that started life as a PS4 title, before being fully rebuilt to show off the PS5’s SSD.PS4God of War Ragnarök (-60%) - A$44Gran Turismo 7 (-60%) - A$44Watch Dogs: Legion (-86%) - A$13.60Expiring Recent DealsPS+ Monthly FreebiesYours to keep from May 1 with this subscriptionArk: Survival Ascended (PS5)Balatro (PS5/PS4)Warhammer 40,000: Boltgun (PS5/PS4)Or purchase a PS Store Card.What you'll pay to 'Station.PS5 + Astro Bot:$̶7̶2̶4̶.9̶5̶ $699👑 | PS5 Slim Disc:$̶7̶9̶9̶ $625 | PS5 Slim Digital:6̶7̶9̶ $549 | PS5 Pro $̶1̶,1̶9̶9̶ $1,049 | PS VR2: $649.95 | PS VR2 + Horizon: $1,099 | PS Portal: $329See itBack to topPurchase Cheap for PCOn PC, Resident Evil 4 is a steal at A$29.90, a stunning remake where the developers added extra charm to Leon’s famous “Where’s everyone going, bingo?” line by letting players unlock vintage filters that emulate 2005-era graphics. 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  • Tech billionaires are making a risky bet with humanity’s future

    “The best way to predict the future is to invent it,” the famed computer scientist Alan Kay once said. Uttered more out of exasperation than as inspiration, his remark has nevertheless attained gospel-like status among Silicon Valley entrepreneurs, in particular a handful of tech billionaires who fancy themselves the chief architects of humanity’s future. 

    Sam Altman, Jeff Bezos, Elon Musk, and others may have slightly different goals and ambitions in the near term, but their grand visions for the next decade and beyond are remarkably similar. Framed less as technological objectives and more as existential imperatives, they include aligning AI with the interests of humanity; creating an artificial superintelligence that will solve all the world’s most pressing problems; merging with that superintelligence to achieve immortality; establishing a permanent, self-­sustaining colony on Mars; and, ultimately, spreading out across the cosmos.

    While there’s a sprawling patchwork of ideas and philosophies powering these visions, three features play a central role, says Adam Becker, a science writer and astrophysicist: an unshakable certainty that technology can solve any problem, a belief in the necessity of perpetual growth, and a quasi-religious obsession with transcending our physical and biological limits. In his timely new book, More Everything Forever: AI Overlords, Space Empires, and Silicon Valley’s Crusade to Control the Fate of Humanity, Becker calls this triumvirate of beliefs the “ideology of technological salvation” and warns that tech titans are using it to steer humanity in a dangerous direction. 

    “In most of these isms you’ll find the idea of escape and transcendence, as well as the promise of an amazing future, full of unimaginable wonders—so long as we don’t get in the way of technological progress.”

    “The credence that tech billionaires give to these specific science-fictional futures validates their pursuit of more—to portray the growth of their businesses as a moral imperative, to reduce the complex problems of the world to simple questions of technology,to justify nearly any action they might want to take,” he writes. Becker argues that the only way to break free of these visions is to see them for what they are: a convenient excuse to continue destroying the environment, skirt regulations, amass more power and control, and dismiss the very real problems of today to focus on the imagined ones of tomorrow. 

    A lot of critics, academics, and journalists have tried to define or distill the Silicon Valley ethos over the years. There was the “Californian Ideology” in the mid-’90s, the “Move fast and break things” era of the early 2000s, and more recently the “Libertarianism for me, feudalism for thee”  or “techno-­authoritarian” views. How do you see the “ideology of technological salvation” fitting in? 

    I’d say it’s very much of a piece with those earlier attempts to describe the Silicon Valley mindset. I mean, you can draw a pretty straight line from Max More’s principles of transhumanism in the ’90s to the Californian Ideologyand through to what I call the ideology of technological salvation. The fact is, many of the ideas that define or animate Silicon Valley thinking have never been much of a ­mystery—libertarianism, an antipathy toward the government and regulation, the boundless faith in technology, the obsession with optimization. 

    What can be difficult is to parse where all these ideas come from and how they fit together—or if they fit together at all. I came up with the ideology of technological salvation as a way to name and give shape to a group of interrelated concepts and philosophies that can seem sprawling and ill-defined at first, but that actually sit at the center of a worldview shared by venture capitalists, executives, and other thought leaders in the tech industry. 

    Readers will likely be familiar with the tech billionaires featured in your book and at least some of their ambitions. I’m guessing they’ll be less familiar with the various “isms” that you argue have influenced or guided their thinking. Effective altruism, rationalism, long­termism, extropianism, effective accelerationism, futurism, singularitarianism, ­transhumanism—there are a lot of them. Is there something that they all share? 

    They’re definitely connected. In a sense, you could say they’re all versions or instantiations of the ideology of technological salvation, but there are also some very deep historical connections between the people in these groups and their aims and beliefs. The Extropians in the late ’80s believed in self-­transformation through technology and freedom from limitations of any kind—ideas that Ray Kurzweil eventually helped popularize and legitimize for a larger audience with the Singularity. 

    In most of these isms you’ll find the idea of escape and transcendence, as well as the promise of an amazing future, full of unimaginable wonders—so long as we don’t get in the way of technological progress. I should say that AI researcher Timnit Gebru and philosopher Émile Torres have also done a lot of great work linking these ideologies to one another and showing how they all have ties to racism, misogyny, and eugenics.

    You argue that the Singularity is the purest expression of the ideology of technological salvation. How so?

    Well, for one thing, it’s just this very simple, straightforward idea—the Singularity is coming and will occur when we merge our brains with the cloud and expand our intelligence a millionfold. This will then deepen our awareness and consciousness and everything will be amazing. In many ways, it’s a fantastical vision of a perfect technological utopia. We’re all going to live as long as we want in an eternal paradise, watched over by machines of loving grace, and everything will just get exponentially better forever. The end.

    The other isms I talk about in the book have a little more … heft isn’t the right word—they just have more stuff going on. There’s more to them, right? The rationalists and the effective altruists and the longtermists—they think that something like a singularity will happen, or could happen, but that there’s this really big danger between where we are now and that potential event. We have to address the fact that an all-powerful AI might destroy humanity—the so-called alignment problem—before any singularity can happen. 

    Then you’ve got the effective accelerationists, who are more like Kurzweil, but they’ve got more of a tech-bro spin on things. They’ve taken some of the older transhumanist ideas from the Singularity and updated them for startup culture. Marc Andreessen’s “Techno-Optimist Manifesto”is a good example. You could argue that all of these other philosophies that have gained purchase in Silicon Valley are just twists on Kurzweil’s Singularity, each one building on top of the core ideas of transcendence, techno­-optimism, and exponential growth. 

    Early on in the book you take aim at that idea of exponential growth—specifically, Kurzweil’s “Law of Accelerating Returns.” Could you explain what that is and why you think it’s flawed?

    Kurzweil thinks there’s this immutable “Law of Accelerating Returns” at work in the affairs of the universe, especially when it comes to technology. It’s the idea that technological progress isn’t linear but exponential. Advancements in one technology fuel even more rapid advancements in the future, which in turn lead to greater complexity and greater technological power, and on and on. This is just a mistake. Kurzweil uses the Law of Accelerating Returns to explain why the Singularity is inevitable, but to be clear, he’s far from the only one who believes in this so-called law.

    “I really believe that when you get as rich as some of these guys are, you can just do things that seem like thinking and no one is really going to correct you or tell you things you don’t want to hear.”

    My sense is that it’s an idea that comes from staring at Moore’s Law for too long. Moore’s Law is of course the famous prediction that the number of transistors on a chip will double roughly every two years, with a minimal increase in cost. Now, that has in fact happened for the last 50 years or so, but not because of some fundamental law in the universe. It’s because the tech industry made a choice and some very sizable investments to make it happen. Moore’s Law was ultimately this really interesting observation or projection of a historical trend, but even Gordon Mooreknew that it wouldn’t and couldn’t last forever. In fact, some think it’s already over. 

    These ideologies take inspiration from some pretty unsavory characters. Transhumanism, you say, was first popularized by the eugenicist Julian Huxley in a speech in 1951. Marc Andreessen’s “Techno-Optimist Manifesto” name-checks the noted fascist Filippo Tommaso Marinetti and his futurist manifesto. Did you get the sense while researching the book that the tech titans who champion these ideas understand their dangerous origins?

    You’re assuming in the framing of that question that there’s any rigorous thought going on here at all. As I say in the book, Andreessen’s manifesto runs almost entirely on vibes, not logic. I think someone may have told him about the futurist manifesto at some point, and he just sort of liked the general vibe, which is why he paraphrases a part of it. Maybe he learned something about Marinetti and forgot it. Maybe he didn’t care. 

    I really believe that when you get as rich as some of these guys are, you can just do things that seem like thinking and no one is really going to correct you or tell you things you don’t want to hear. For many of these billionaires, the vibes of fascism, authoritarianism, and colonialism are attractive because they’re fundamentally about creating a fantasy of control. 

    You argue that these visions of the future are being used to hasten environmental destruction, increase authoritarianism, and exacerbate inequalities. You also admit that they appeal to lots of people who aren’t billionaires. Why do you think that is? 

    I think a lot of us are also attracted to these ideas for the same reasons the tech billionaires are—they offer this fantasy of knowing what the future holds, of transcending death, and a sense that someone or something out there is in control. It’s hard to overstate how comforting a simple, coherent narrative can be in an increasingly complex and fast-moving world. This is of course what religion offers for many of us, and I don’t think it’s an accident that a sizable number of people in the rationalist and effective altruist communities are actually ex-evangelicals.

    More than any one specific technology, it seems like the most consequential thing these billionaires have invented is a sense of inevitability—that their visions for the future are somehow predestined. How does one fight against that?

    It’s a difficult question. For me, the answer was to write this book. I guess I’d also say this: Silicon Valley enjoyed well over a decade with little to no pushback on anything. That’s definitely a big part of how we ended up in this mess. There was no regulation, very little critical coverage in the press, and a lot of self-mythologizing going on. Things have started to change, especially as the social and environmental damage that tech companies and industry leaders have helped facilitate has become more clear. That understanding is an essential part of deflating the power of these tech billionaires and breaking free of their visions. When we understand that these dreams of the future are actually nightmares for the rest of us, I think you’ll see that senseof inevitability vanish pretty fast. 

    This interview was edited for length and clarity.

    Bryan Gardiner is a writer based in Oakland, California. 
    #tech #billionaires #are #making #risky
    Tech billionaires are making a risky bet with humanity’s future
    “The best way to predict the future is to invent it,” the famed computer scientist Alan Kay once said. Uttered more out of exasperation than as inspiration, his remark has nevertheless attained gospel-like status among Silicon Valley entrepreneurs, in particular a handful of tech billionaires who fancy themselves the chief architects of humanity’s future.  Sam Altman, Jeff Bezos, Elon Musk, and others may have slightly different goals and ambitions in the near term, but their grand visions for the next decade and beyond are remarkably similar. Framed less as technological objectives and more as existential imperatives, they include aligning AI with the interests of humanity; creating an artificial superintelligence that will solve all the world’s most pressing problems; merging with that superintelligence to achieve immortality; establishing a permanent, self-­sustaining colony on Mars; and, ultimately, spreading out across the cosmos. While there’s a sprawling patchwork of ideas and philosophies powering these visions, three features play a central role, says Adam Becker, a science writer and astrophysicist: an unshakable certainty that technology can solve any problem, a belief in the necessity of perpetual growth, and a quasi-religious obsession with transcending our physical and biological limits. In his timely new book, More Everything Forever: AI Overlords, Space Empires, and Silicon Valley’s Crusade to Control the Fate of Humanity, Becker calls this triumvirate of beliefs the “ideology of technological salvation” and warns that tech titans are using it to steer humanity in a dangerous direction.  “In most of these isms you’ll find the idea of escape and transcendence, as well as the promise of an amazing future, full of unimaginable wonders—so long as we don’t get in the way of technological progress.” “The credence that tech billionaires give to these specific science-fictional futures validates their pursuit of more—to portray the growth of their businesses as a moral imperative, to reduce the complex problems of the world to simple questions of technology,to justify nearly any action they might want to take,” he writes. Becker argues that the only way to break free of these visions is to see them for what they are: a convenient excuse to continue destroying the environment, skirt regulations, amass more power and control, and dismiss the very real problems of today to focus on the imagined ones of tomorrow.  A lot of critics, academics, and journalists have tried to define or distill the Silicon Valley ethos over the years. There was the “Californian Ideology” in the mid-’90s, the “Move fast and break things” era of the early 2000s, and more recently the “Libertarianism for me, feudalism for thee”  or “techno-­authoritarian” views. How do you see the “ideology of technological salvation” fitting in?  I’d say it’s very much of a piece with those earlier attempts to describe the Silicon Valley mindset. I mean, you can draw a pretty straight line from Max More’s principles of transhumanism in the ’90s to the Californian Ideologyand through to what I call the ideology of technological salvation. The fact is, many of the ideas that define or animate Silicon Valley thinking have never been much of a ­mystery—libertarianism, an antipathy toward the government and regulation, the boundless faith in technology, the obsession with optimization.  What can be difficult is to parse where all these ideas come from and how they fit together—or if they fit together at all. I came up with the ideology of technological salvation as a way to name and give shape to a group of interrelated concepts and philosophies that can seem sprawling and ill-defined at first, but that actually sit at the center of a worldview shared by venture capitalists, executives, and other thought leaders in the tech industry.  Readers will likely be familiar with the tech billionaires featured in your book and at least some of their ambitions. I’m guessing they’ll be less familiar with the various “isms” that you argue have influenced or guided their thinking. Effective altruism, rationalism, long­termism, extropianism, effective accelerationism, futurism, singularitarianism, ­transhumanism—there are a lot of them. Is there something that they all share?  They’re definitely connected. In a sense, you could say they’re all versions or instantiations of the ideology of technological salvation, but there are also some very deep historical connections between the people in these groups and their aims and beliefs. The Extropians in the late ’80s believed in self-­transformation through technology and freedom from limitations of any kind—ideas that Ray Kurzweil eventually helped popularize and legitimize for a larger audience with the Singularity.  In most of these isms you’ll find the idea of escape and transcendence, as well as the promise of an amazing future, full of unimaginable wonders—so long as we don’t get in the way of technological progress. I should say that AI researcher Timnit Gebru and philosopher Émile Torres have also done a lot of great work linking these ideologies to one another and showing how they all have ties to racism, misogyny, and eugenics. You argue that the Singularity is the purest expression of the ideology of technological salvation. How so? Well, for one thing, it’s just this very simple, straightforward idea—the Singularity is coming and will occur when we merge our brains with the cloud and expand our intelligence a millionfold. This will then deepen our awareness and consciousness and everything will be amazing. In many ways, it’s a fantastical vision of a perfect technological utopia. We’re all going to live as long as we want in an eternal paradise, watched over by machines of loving grace, and everything will just get exponentially better forever. The end. The other isms I talk about in the book have a little more … heft isn’t the right word—they just have more stuff going on. There’s more to them, right? The rationalists and the effective altruists and the longtermists—they think that something like a singularity will happen, or could happen, but that there’s this really big danger between where we are now and that potential event. We have to address the fact that an all-powerful AI might destroy humanity—the so-called alignment problem—before any singularity can happen.  Then you’ve got the effective accelerationists, who are more like Kurzweil, but they’ve got more of a tech-bro spin on things. They’ve taken some of the older transhumanist ideas from the Singularity and updated them for startup culture. Marc Andreessen’s “Techno-Optimist Manifesto”is a good example. You could argue that all of these other philosophies that have gained purchase in Silicon Valley are just twists on Kurzweil’s Singularity, each one building on top of the core ideas of transcendence, techno­-optimism, and exponential growth.  Early on in the book you take aim at that idea of exponential growth—specifically, Kurzweil’s “Law of Accelerating Returns.” Could you explain what that is and why you think it’s flawed? Kurzweil thinks there’s this immutable “Law of Accelerating Returns” at work in the affairs of the universe, especially when it comes to technology. It’s the idea that technological progress isn’t linear but exponential. Advancements in one technology fuel even more rapid advancements in the future, which in turn lead to greater complexity and greater technological power, and on and on. This is just a mistake. Kurzweil uses the Law of Accelerating Returns to explain why the Singularity is inevitable, but to be clear, he’s far from the only one who believes in this so-called law. “I really believe that when you get as rich as some of these guys are, you can just do things that seem like thinking and no one is really going to correct you or tell you things you don’t want to hear.” My sense is that it’s an idea that comes from staring at Moore’s Law for too long. Moore’s Law is of course the famous prediction that the number of transistors on a chip will double roughly every two years, with a minimal increase in cost. Now, that has in fact happened for the last 50 years or so, but not because of some fundamental law in the universe. It’s because the tech industry made a choice and some very sizable investments to make it happen. Moore’s Law was ultimately this really interesting observation or projection of a historical trend, but even Gordon Mooreknew that it wouldn’t and couldn’t last forever. In fact, some think it’s already over.  These ideologies take inspiration from some pretty unsavory characters. Transhumanism, you say, was first popularized by the eugenicist Julian Huxley in a speech in 1951. Marc Andreessen’s “Techno-Optimist Manifesto” name-checks the noted fascist Filippo Tommaso Marinetti and his futurist manifesto. Did you get the sense while researching the book that the tech titans who champion these ideas understand their dangerous origins? You’re assuming in the framing of that question that there’s any rigorous thought going on here at all. As I say in the book, Andreessen’s manifesto runs almost entirely on vibes, not logic. I think someone may have told him about the futurist manifesto at some point, and he just sort of liked the general vibe, which is why he paraphrases a part of it. Maybe he learned something about Marinetti and forgot it. Maybe he didn’t care.  I really believe that when you get as rich as some of these guys are, you can just do things that seem like thinking and no one is really going to correct you or tell you things you don’t want to hear. For many of these billionaires, the vibes of fascism, authoritarianism, and colonialism are attractive because they’re fundamentally about creating a fantasy of control.  You argue that these visions of the future are being used to hasten environmental destruction, increase authoritarianism, and exacerbate inequalities. You also admit that they appeal to lots of people who aren’t billionaires. Why do you think that is?  I think a lot of us are also attracted to these ideas for the same reasons the tech billionaires are—they offer this fantasy of knowing what the future holds, of transcending death, and a sense that someone or something out there is in control. It’s hard to overstate how comforting a simple, coherent narrative can be in an increasingly complex and fast-moving world. This is of course what religion offers for many of us, and I don’t think it’s an accident that a sizable number of people in the rationalist and effective altruist communities are actually ex-evangelicals. More than any one specific technology, it seems like the most consequential thing these billionaires have invented is a sense of inevitability—that their visions for the future are somehow predestined. How does one fight against that? It’s a difficult question. For me, the answer was to write this book. I guess I’d also say this: Silicon Valley enjoyed well over a decade with little to no pushback on anything. That’s definitely a big part of how we ended up in this mess. There was no regulation, very little critical coverage in the press, and a lot of self-mythologizing going on. Things have started to change, especially as the social and environmental damage that tech companies and industry leaders have helped facilitate has become more clear. That understanding is an essential part of deflating the power of these tech billionaires and breaking free of their visions. When we understand that these dreams of the future are actually nightmares for the rest of us, I think you’ll see that senseof inevitability vanish pretty fast.  This interview was edited for length and clarity. Bryan Gardiner is a writer based in Oakland, California.  #tech #billionaires #are #making #risky
    WWW.TECHNOLOGYREVIEW.COM
    Tech billionaires are making a risky bet with humanity’s future
    “The best way to predict the future is to invent it,” the famed computer scientist Alan Kay once said. Uttered more out of exasperation than as inspiration, his remark has nevertheless attained gospel-like status among Silicon Valley entrepreneurs, in particular a handful of tech billionaires who fancy themselves the chief architects of humanity’s future.  Sam Altman, Jeff Bezos, Elon Musk, and others may have slightly different goals and ambitions in the near term, but their grand visions for the next decade and beyond are remarkably similar. Framed less as technological objectives and more as existential imperatives, they include aligning AI with the interests of humanity; creating an artificial superintelligence that will solve all the world’s most pressing problems; merging with that superintelligence to achieve immortality (or something close to it); establishing a permanent, self-­sustaining colony on Mars; and, ultimately, spreading out across the cosmos. While there’s a sprawling patchwork of ideas and philosophies powering these visions, three features play a central role, says Adam Becker, a science writer and astrophysicist: an unshakable certainty that technology can solve any problem, a belief in the necessity of perpetual growth, and a quasi-religious obsession with transcending our physical and biological limits. In his timely new book, More Everything Forever: AI Overlords, Space Empires, and Silicon Valley’s Crusade to Control the Fate of Humanity, Becker calls this triumvirate of beliefs the “ideology of technological salvation” and warns that tech titans are using it to steer humanity in a dangerous direction.  “In most of these isms you’ll find the idea of escape and transcendence, as well as the promise of an amazing future, full of unimaginable wonders—so long as we don’t get in the way of technological progress.” “The credence that tech billionaires give to these specific science-fictional futures validates their pursuit of more—to portray the growth of their businesses as a moral imperative, to reduce the complex problems of the world to simple questions of technology, [and] to justify nearly any action they might want to take,” he writes. Becker argues that the only way to break free of these visions is to see them for what they are: a convenient excuse to continue destroying the environment, skirt regulations, amass more power and control, and dismiss the very real problems of today to focus on the imagined ones of tomorrow.  A lot of critics, academics, and journalists have tried to define or distill the Silicon Valley ethos over the years. There was the “Californian Ideology” in the mid-’90s, the “Move fast and break things” era of the early 2000s, and more recently the “Libertarianism for me, feudalism for thee”  or “techno-­authoritarian” views. How do you see the “ideology of technological salvation” fitting in?  I’d say it’s very much of a piece with those earlier attempts to describe the Silicon Valley mindset. I mean, you can draw a pretty straight line from Max More’s principles of transhumanism in the ’90s to the Californian Ideology [a mashup of countercultural, libertarian, and neoliberal values] and through to what I call the ideology of technological salvation. The fact is, many of the ideas that define or animate Silicon Valley thinking have never been much of a ­mystery—libertarianism, an antipathy toward the government and regulation, the boundless faith in technology, the obsession with optimization.  What can be difficult is to parse where all these ideas come from and how they fit together—or if they fit together at all. I came up with the ideology of technological salvation as a way to name and give shape to a group of interrelated concepts and philosophies that can seem sprawling and ill-defined at first, but that actually sit at the center of a worldview shared by venture capitalists, executives, and other thought leaders in the tech industry.  Readers will likely be familiar with the tech billionaires featured in your book and at least some of their ambitions. I’m guessing they’ll be less familiar with the various “isms” that you argue have influenced or guided their thinking. Effective altruism, rationalism, long­termism, extropianism, effective accelerationism, futurism, singularitarianism, ­transhumanism—there are a lot of them. Is there something that they all share?  They’re definitely connected. In a sense, you could say they’re all versions or instantiations of the ideology of technological salvation, but there are also some very deep historical connections between the people in these groups and their aims and beliefs. The Extropians in the late ’80s believed in self-­transformation through technology and freedom from limitations of any kind—ideas that Ray Kurzweil eventually helped popularize and legitimize for a larger audience with the Singularity.  In most of these isms you’ll find the idea of escape and transcendence, as well as the promise of an amazing future, full of unimaginable wonders—so long as we don’t get in the way of technological progress. I should say that AI researcher Timnit Gebru and philosopher Émile Torres have also done a lot of great work linking these ideologies to one another and showing how they all have ties to racism, misogyny, and eugenics. You argue that the Singularity is the purest expression of the ideology of technological salvation. How so? Well, for one thing, it’s just this very simple, straightforward idea—the Singularity is coming and will occur when we merge our brains with the cloud and expand our intelligence a millionfold. This will then deepen our awareness and consciousness and everything will be amazing. In many ways, it’s a fantastical vision of a perfect technological utopia. We’re all going to live as long as we want in an eternal paradise, watched over by machines of loving grace, and everything will just get exponentially better forever. The end. The other isms I talk about in the book have a little more … heft isn’t the right word—they just have more stuff going on. There’s more to them, right? The rationalists and the effective altruists and the longtermists—they think that something like a singularity will happen, or could happen, but that there’s this really big danger between where we are now and that potential event. We have to address the fact that an all-powerful AI might destroy humanity—the so-called alignment problem—before any singularity can happen.  Then you’ve got the effective accelerationists, who are more like Kurzweil, but they’ve got more of a tech-bro spin on things. They’ve taken some of the older transhumanist ideas from the Singularity and updated them for startup culture. Marc Andreessen’s “Techno-Optimist Manifesto” [from 2023] is a good example. You could argue that all of these other philosophies that have gained purchase in Silicon Valley are just twists on Kurzweil’s Singularity, each one building on top of the core ideas of transcendence, techno­-optimism, and exponential growth.  Early on in the book you take aim at that idea of exponential growth—specifically, Kurzweil’s “Law of Accelerating Returns.” Could you explain what that is and why you think it’s flawed? Kurzweil thinks there’s this immutable “Law of Accelerating Returns” at work in the affairs of the universe, especially when it comes to technology. It’s the idea that technological progress isn’t linear but exponential. Advancements in one technology fuel even more rapid advancements in the future, which in turn lead to greater complexity and greater technological power, and on and on. This is just a mistake. Kurzweil uses the Law of Accelerating Returns to explain why the Singularity is inevitable, but to be clear, he’s far from the only one who believes in this so-called law. “I really believe that when you get as rich as some of these guys are, you can just do things that seem like thinking and no one is really going to correct you or tell you things you don’t want to hear.” My sense is that it’s an idea that comes from staring at Moore’s Law for too long. Moore’s Law is of course the famous prediction that the number of transistors on a chip will double roughly every two years, with a minimal increase in cost. Now, that has in fact happened for the last 50 years or so, but not because of some fundamental law in the universe. It’s because the tech industry made a choice and some very sizable investments to make it happen. Moore’s Law was ultimately this really interesting observation or projection of a historical trend, but even Gordon Moore [who first articulated it] knew that it wouldn’t and couldn’t last forever. In fact, some think it’s already over.  These ideologies take inspiration from some pretty unsavory characters. Transhumanism, you say, was first popularized by the eugenicist Julian Huxley in a speech in 1951. Marc Andreessen’s “Techno-Optimist Manifesto” name-checks the noted fascist Filippo Tommaso Marinetti and his futurist manifesto. Did you get the sense while researching the book that the tech titans who champion these ideas understand their dangerous origins? You’re assuming in the framing of that question that there’s any rigorous thought going on here at all. As I say in the book, Andreessen’s manifesto runs almost entirely on vibes, not logic. I think someone may have told him about the futurist manifesto at some point, and he just sort of liked the general vibe, which is why he paraphrases a part of it. Maybe he learned something about Marinetti and forgot it. Maybe he didn’t care.  I really believe that when you get as rich as some of these guys are, you can just do things that seem like thinking and no one is really going to correct you or tell you things you don’t want to hear. For many of these billionaires, the vibes of fascism, authoritarianism, and colonialism are attractive because they’re fundamentally about creating a fantasy of control.  You argue that these visions of the future are being used to hasten environmental destruction, increase authoritarianism, and exacerbate inequalities. You also admit that they appeal to lots of people who aren’t billionaires. Why do you think that is?  I think a lot of us are also attracted to these ideas for the same reasons the tech billionaires are—they offer this fantasy of knowing what the future holds, of transcending death, and a sense that someone or something out there is in control. It’s hard to overstate how comforting a simple, coherent narrative can be in an increasingly complex and fast-moving world. This is of course what religion offers for many of us, and I don’t think it’s an accident that a sizable number of people in the rationalist and effective altruist communities are actually ex-evangelicals. More than any one specific technology, it seems like the most consequential thing these billionaires have invented is a sense of inevitability—that their visions for the future are somehow predestined. How does one fight against that? It’s a difficult question. For me, the answer was to write this book. I guess I’d also say this: Silicon Valley enjoyed well over a decade with little to no pushback on anything. That’s definitely a big part of how we ended up in this mess. There was no regulation, very little critical coverage in the press, and a lot of self-mythologizing going on. Things have started to change, especially as the social and environmental damage that tech companies and industry leaders have helped facilitate has become more clear. That understanding is an essential part of deflating the power of these tech billionaires and breaking free of their visions. When we understand that these dreams of the future are actually nightmares for the rest of us, I think you’ll see that senseof inevitability vanish pretty fast.  This interview was edited for length and clarity. Bryan Gardiner is a writer based in Oakland, California. 
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  • NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs

    Generative AI has reshaped how people create, imagine and interact with digital content.
    As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well.
    By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4.
    NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kitdouble performance.
    In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time, on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers.
    RTX-Accelerated AI
    NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs.
    Stable Diffusion 3.5 quantized FP8generates images in half the time with similar quality as FP16. Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution.
    To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one.
    SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs.
    FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup.
    Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch.
    The optimized models are now available on Stability AI’s Hugging Face page.
    NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July.
    TensorRT for RTX SDK Released
    Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers.
    Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time.
    With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature.
    The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview.
    For more details, read this NVIDIA technical blog and this Microsoft Build recap.
    Join NVIDIA at GTC Paris
    At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay.
    GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event.
    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.
    #nvidia #tensorrt #boosts #stable #diffusion
    NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs
    Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4. NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kitdouble performance. In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time, on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers. RTX-Accelerated AI NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs. Stable Diffusion 3.5 quantized FP8generates images in half the time with similar quality as FP16. Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution. To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one. SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs. FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup. Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch. The optimized models are now available on Stability AI’s Hugging Face page. NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July. TensorRT for RTX SDK Released Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers. Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time. With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature. The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview. For more details, read this NVIDIA technical blog and this Microsoft Build recap. Join NVIDIA at GTC Paris At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay. GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event. 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. #nvidia #tensorrt #boosts #stable #diffusion
    BLOGS.NVIDIA.COM
    NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs
    Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4. NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion (SD) 3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kit (SDK) double performance. In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time (JIT), on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers. RTX-Accelerated AI NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs. Stable Diffusion 3.5 quantized FP8 (right) generates images in half the time with similar quality as FP16 (left). Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution. To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one. SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs. FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup. Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch. The optimized models are now available on Stability AI’s Hugging Face page. NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July. TensorRT for RTX SDK Released Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers. Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time. With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature. The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview. For more details, read this NVIDIA technical blog and this Microsoft Build recap. Join NVIDIA at GTC Paris At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay. GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event. 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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