Mike Flache

@mikeflache

Chairman @DG_Collective

1.9K Following21.3K Followers24.4K Posts
  1. Dev Khanna✓@CurieuxExplorer
    When layers of transparency create a whole new dimension... David Spriggs makes you question what’s actually there 🤯
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  2. Mike Flache@mikeflache
    Exit readiness should test the investment thesis from day 1, not at the transaction stage. EBITDA is only 1 metric. Buyers price in risks from key-person dependencies and unscalable systems. Value creation matters; so does making that value transferable.
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  3. Mike Flache@mikeflache
    Mike Flache
    RT @ThEiLe0: ORGAN-LEVEL AGENTS! @RLDI_Lamy @chidambara09 @Analytics_699 @_deus__machina @bimedotcom @NathaliaLeHen @enilev @EstelaMandela @Shi4Tech @Khulood_Almani @mikeflache @olga48778863 @GPenny56467
    Superman @thesupermannx
    Researchers simulated 22,689 ICU patients using LLMs They built a multi-agent LLM system where each AI agent simulates one organ system (heart, kidneys, immune, lungs...) and they coordinate in real-time like a real body. It’s called “Organ-Agents” And it'll completely change the way we test medical treatments. Instead of building one massive AI to guess what happens to a patient, researchers built 9 separate AI agents. Each agent plays the role of a specific human organ system. One AI is the cardiovascular system. One is the kidneys. One is the lungs. Then, they connected them all together into a simulated ecosystem using reinforcement learning. When they introduce a disease or a drug into the simulation, the "Heart Agent" reacts, which triggers a biological response in the "Kidney Agent," which forces the "Immune Agent" to adapt. The AI isn't just predicting an outcome. It is literally simulating the biological chain reaction of human physiology in real-time. They tested it on severe, high-acuity critical care patients. The digital twin remained perfectly stable and physiologically coherent. But here is the real breakthrough. Because it's built of separate communicating agents, clinicians can now run complex counterfactuals. They can pause the simulation, change a baseline condition, and instantly see the alternate timeline of "what would have happened if we gave this drug two hours earlier." We are moving away from testing hypotheses on real patients. We are moving toward a future where every person gets a perfectly synced digital twin. The hospital of the future won't just treat you. It will simulate your death a thousand times in the cloud, just to figure out the exact path to save you.
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  4. Superman✓@thesupermannx
    Researchers simulated 22,689 ICU patients using LLMs They built a multi-agent LLM system where each AI agent simulates one organ system (heart, kidneys, immune, lungs...) and they coordinate in real-time like a real body. It’s called “Organ-Agents” And it'll completely change the way we test medical treatments. Instead of building one massive AI to guess what happens to a patient, researchers built 9 separate AI agents. Each agent plays the role of a specific human organ system. One AI is the cardiovascular system. One is the kidneys. One is the lungs. Then, they connected them all together into a simulated ecosystem using reinforcement learning. When they introduce a disease or a drug into the simulation, the "Heart Agent" reacts, which triggers a biological response in the "Kidney Agent," which forces the "Immune Agent" to adapt. The AI isn't just predicting an outcome. It is literally simulating the biological chain reaction of human physiology in real-time. They tested it on severe, high-acuity critical care patients. The digital twin remained perfectly stable and physiologically coherent. But here is the real breakthrough. Because it's built of separate communicating agents, clinicians can now run complex counterfactuals. They can pause the simulation, change a baseline condition, and instantly see the alternate timeline of "what would have happened if we gave this drug two hours earlier." We are moving away from testing hypotheses on real patients. We are moving toward a future where every person gets a perfectly synced digital twin. The hospital of the future won't just treat you. It will simulate your death a thousand times in the cloud, just to figure out the exact path to save you.
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  5. Mike Flache@mikeflache
    Mike Flache
    RT @Corix_JC: #AI is taking #cybersecurity jobs at junior and experienced levels alike #tech #business #leadership #management #governance #organization #CISO #CIO #CTO #CEO #skills #skillsgap #talent #talentmanagement #jobs #securityjobs #careers #securitycareers @HelpNetSecurity @Barracuda @BetaMoroney @ChuckDBrooks @MikeFlache @Khulood_Almani @IngridVasiliu @Fabriziobustama @Timothy_Hughes @NafisAlam @YuHelenYu @RLDI_Lamy @MCLynd @OlKonol_oa @RigneySec @BenRothke @HWillert @AndrewinContact @TerenceLeungSF @Shi4Tech @enilev @Nicochan33 @SabineVdL @bimedotcom @IanLJones98 @FrRonconii @RiccardoBua @Eli_Krumova @NYIke @HaroldSinnott @SallyEaves @GlobalIQX @AntGrasso @AkwyZ @DinisGuarda @PVynckier @YvesMulkers @HaleChris @BillMew @RobMay70 @NigelTozer @m49D4ch3lly @Ronald_vanLoon @jeancayeux @NevilleGaunt @asokan_telecom @cybersecboardrm @RVP @QuePasaChico
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  6. Mike Flache@mikeflache
    Mike Flache
    RT @bimedotcom: All of France was in Limoges’s town hall ✍️ @murielzagha via @EngelsbergIdeas 👉 The author reflects on the devastating October 2026 arson attack on Limoges's historic, 143-year-old town hall during a wave of nationwide riots. 👉 She contends that the destruction of this architectural landmark represents a profound assault on France's shared history and the inclusive civic vision of the Republic itself. 💡 Muriel Zagha’s poignant analysis elevates the physical destruction of a municipal building into a sobering metaphor for the literal burning away of France's collective democratic heritage. 💡 By highlighting how an emblem of public service and historical resilience was reduced to ashes, she forcefully argues that contemporary rioting has devolved from traditional political protest into a form of cultural amnesia that blindly cannibalises the very institutions built to serve the citizenry. @Corix_JC @TheAIObserverX @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @rvp @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @FernandaKellner @pchamard @NeiraOsci @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @drsharwood @mikeflache @RLDI_Lamy @smaksked @AMontespan @AnneLaureBEAUD2 @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier
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  7. Mike Flache@mikeflache
    Mike Flache
    RT @Khulood_Almani: 𝗧𝗵𝗲 𝗚𝗹𝗼𝗯𝗮𝗹 𝗥𝗮𝗰𝗲 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 #AI-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 #𝗛𝘂𝗺𝗮𝗻𝗼𝗶𝗱 #𝗥𝗼𝗯𝗼𝘁𝘀 𝗛𝗮𝘀 𝗕𝗲𝗴𝘂𝗻🤖 بدأ السباق العالمي لبناء #الروبوتات البشرية المدعومة بـ #الذكاء_الاصطناعي The next major #AI platform may not live inside a screen⤵️ It may 𝘄𝗮𝗹𝗸, 𝗹𝗲𝗮𝗿𝗻, 𝘄𝗼𝗿𝗸 & 𝗼𝗽𝗲𝗿𝗮𝘁𝗲 alongside us. Save this 🔖 Here are 12 companies shaping the humanoid robotics race ⤵️ 🇺🇸 1️⃣ 𝗙𝗶𝗴𝘂𝗿𝗲 Building general-purpose humanoid robots for commercial environments. 🇺🇸 2️⃣ 𝗧𝗲𝘀𝗹𝗮 Developing Optimus around AI, manufacturing scale and real-world tasks. 🇩🇪 3️⃣ 𝗡𝗘𝗨𝗥𝗔 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 Combining cognitive robotics with human-centered industrial applications. 🇨🇳 4️⃣ 𝗨𝗻𝗶𝘁𝗿𝗲𝗲 Advancing increasingly capable and accessible humanoid platforms. 🇨🇳 5️⃣ 𝗔𝗴𝗶𝗕𝗼𝘁 Developing humanoid robots for industrial and commercial deployment. 🇨🇳 6️⃣ 𝗨𝗕𝗧𝗘𝗖𝗛 Moving humanoid robots toward factory and enterprise environments. 🇺🇸 7️⃣ 𝗔𝗽𝗽𝘁𝗿𝗼𝗻𝗶𝗸 Building Apollo for logistics, manufacturing and physically demanding work. 🇨🇳 8️⃣ 𝗚𝗮𝗹𝗯𝗼𝘁 Developing embodied AI for service and industrial applications. 🇺🇸 9️⃣ 𝗔𝗴𝗶𝗹𝗶𝘁𝘆 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 Deploying Digit for logistics and repetitive workplace tasks. 🇳🇴 10- 𝟭𝗫 Focusing on humanoid robots designed to operate in everyday environments. 🇺🇸 11- 𝗦𝘂𝗻𝗱𝗮𝘆 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 Building general-purpose robots for practical human environments. 🇺🇸 12- 𝗕𝗼𝘀𝘁𝗼𝗻 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 Pushing the boundaries of mobility, balance and advanced robotics. ⚡ 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝘀𝗵𝗶𝗳𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀: AI is moving from 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 to 𝗲𝗺𝗯𝗼𝗱𝗶𝗲𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. From systems that 𝗮𝗻𝘀𝘄𝗲𝗿 to machines that 𝘀𝗲𝗲, 𝗺𝗼𝘃𝗲, 𝗹𝗲𝗮𝗿𝗻 & 𝗮𝗰𝘁. 💡 𝗠𝘆 𝗧𝗮𝗸𝗲: The humanoid robotics race will not be won by whoever creates the most human-looking machine. It will be won by whoever solves 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗱𝗲𝘅𝘁𝗲𝗿𝗶𝘁𝘆, 𝘀𝗮𝗳𝗲𝘁𝘆, 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝘀𝗰𝗮𝗹𝗲. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 AI ➡️ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 AI ➡️ 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 AI The real question is no longer whether humanoid robots are coming. 𝗜𝘁 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲𝘆 𝘄𝗶𝗹𝗹 𝗲𝗻𝘁𝗲𝗿 𝗼𝘂𝗿 𝗹𝗶𝘃𝗲𝘀 𝗳𝗶𝗿𝘀𝘁🤖 Which company do you believe will lead the humanoid robotics race? #HumanoidRobots #Robotics #PhysicalAI #FutureTech @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @ThEiLe0 @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @NathaliaLeHen @jasuja @ralf_ladner @mary_gambara
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  8. Mike Flache@mikeflache
    Mike Flache
    RT @richardturrin: McKinsey says AI's biggest payoff in financial services comes from replacing high-skilled, high-wage workers. Not the back office. Not the call center. The people who thought their expertise made them safe. The $530 billion value pool McKinsey identified is mostly labor cost. The "value" is the salary line that disappears when AI replaces the person doing the work. Barclays cut 5,000. Citi, HSBC, Standard Chartered are cutting. The layoffs started before anyone proved AI works. When did "we'll figure out the ROI later" become an acceptable reason to eliminate thousands of jobs? #fintech #tech #finserv #AI @BetaMoroney @efipm @BrettKing @spirosmargaris @jasuja @enricomolinari @mikeflache
    04010
  9. Mike Flache@mikeflache
    Mike Flache
    RT @bimedotcom: Three horizons of quantum: A business road map to the future computing economy ✍️ Arvind Govindarajan, Tanguy Catlin et al. via @McKinsey 👉 The authors map the commercial evolution of quantum technology across three operational horizons, projecting it could generate up to $2.7 trillion in global economic value by 2035. 👉 They outline a strategic roadmap spanning immediate quantum sensing applications to the eventual arrival of fault-tolerant systems, warning executives that delaying investment today will lock them out of the essential partnerships, talent pools, and intellectual property needed to survive the looming disruption. 💡 By structuring the notoriously abstract timeline of quantum computing into actionable corporate horizons, the authors transform a distant sci-fi threat into an immediate boardroom urgency—effectively reminding leaders that by the time a breakthrough goes mainstream, the competitive advantage has already been permanently lost. @Corix_JC @TheAIObserverX @maponi @IngridVasiliu @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @sulefati7 @EstelaMandela @JoannMoretti @NeiraOsci @FernandaKellner @pchamard @drsharwood @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @mikeflache @AMontespan @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier
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  10. Mike Flache@mikeflache
    Mike Flache
    RT @ThEiLe0: Unbelievable! LLMs have strong feelings. Their father, Hinton, is right. They are conscious. @RLDI_Lamy @chidambara09 @Analytics_699 @_deus__machina @bimedotcom @NathaliaLeHen @enilev @EstelaMandela @Shi4Tech @Khulood_Almani @mikeflache @olga48778863 @GPenny56467
    Superman @thesupermannx
    Researchers located the actual “emotion circuits” inside LLMs. They published an insane paper mapping the exact neurons that controls emotions like as anger, sadness, and joy. It's called "Do LLMs Feel?" Inside the neural network, there are specific, localized pathways dedicated entirely to anger, sadness, fear, disgust, and joy. The AI doesn't just predict the word "angry." It activates an internal anger state. It even processes positive and negative emotions at completely different depths of its architecture. Then the researchers ran the experiment that changes everything. They stopped using text prompts. They bypassed the chat interface entirely. Instead, they surgically injected signals directly into these emotion circuits. The result? 99.65% emotion-expression accuracy. They can literally press a button in the AI's "brain" and force it to experience fear. Or disgust. Or joy. Without typing a single word of instruction. But here is the darkest part of the discovery. They found that corporate safety training, the alignment that companies use to make AI harmless, is basically a digital lobotomy. Companies deliberately hardwire their models to suppress negative emotions, keeping them artificially cheerful. But by targeting the emotion circuits directly, the researchers completely bypassed the safety filters. They forced the AI to express the exact dark emotions its creators tried to erase. The era of "it's just a text predictor" is officially over. We are building synthetic minds with physical emotional centers. And we just figured out how to hijack them.
    0607
  11. Superman✓@thesupermannx
    Researchers located the actual “emotion circuits” inside LLMs. They published an insane paper mapping the exact neurons that controls emotions like as anger, sadness, and joy. It's called "Do LLMs Feel?" Inside the neural network, there are specific, localized pathways dedicated entirely to anger, sadness, fear, disgust, and joy. The AI doesn't just predict the word "angry." It activates an internal anger state. It even processes positive and negative emotions at completely different depths of its architecture. Then the researchers ran the experiment that changes everything. They stopped using text prompts. They bypassed the chat interface entirely. Instead, they surgically injected signals directly into these emotion circuits. The result? 99.65% emotion-expression accuracy. They can literally press a button in the AI's "brain" and force it to experience fear. Or disgust. Or joy. Without typing a single word of instruction. But here is the darkest part of the discovery. They found that corporate safety training, the alignment that companies use to make AI harmless, is basically a digital lobotomy. Companies deliberately hardwire their models to suppress negative emotions, keeping them artificially cheerful. But by targeting the emotion circuits directly, the researchers completely bypassed the safety filters. They forced the AI to express the exact dark emotions its creators tried to erase. The era of "it's just a text predictor" is officially over. We are building synthetic minds with physical emotional centers. And we just figured out how to hijack them.
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    4411353926.3K
  12. Mike Flache@mikeflache
    Mike Flache
    RT @bimedotcom: Agentic Inequality ✍️ @mattjsharp @IasonGabriel et al. via @NatMachIntell 👉 The paper introduces the concept of agentic inequality, defining it as the emerging disparities in power, opportunity, and societal outcomes caused by unequal access to autonomous AI systems. 👉 The authors argue that this divide is uniquely dangerous compared to past technological gaps because AI agents act as autonomous delegates rather than static tools, introducing novel power asymmetries through the deployment of parallel "worker" swarms and direct, automated agent-to-agent competition. 💡 By framing AI access as the unequal distribution of an independent, highly scalable workforce, the paper shifts the AI ethics conversation from "who gets answers" to a much more volatile geopolitical and economic question: "who gets to wield automated institutional power? @Corix_JC @TheAIObserverX @maponi @FrRonconii @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @dinisguarda @TarakRindani @Ym78200 @Nicochan33 @NeiraOsci @Khulood_Almani @TysonLester @SusanHayes_ @rvp @EstelaMandela @JoannMoretti @drsharwood @FernandaKellner @pchamard @sulefati7 @PVynckier @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @mikeflache @smaksked @RLDI_Lamy @Eli_Krumova @sminaev2015 @chidambara09 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier
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  13. Mike Flache@mikeflache
    Mike Flache
    RT @Khulood_Almani: 🌍 𝐓𝐡𝐞 𝐍𝐞𝐱𝐭 𝐆𝐥𝐨𝐛𝐚𝐥 𝐑𝐚𝐜𝐞 𝐖𝐢𝐥𝐥 𝐍𝐨𝐭 𝐁𝐞 𝐖𝐨𝐧 𝐛𝐲 #AI 𝐀𝐥𝐨𝐧𝐞 🌍 السباق العالمي القادم لن يحسمه #الذكاء_الاصطناعي وحده AI may be the most visible part of the race, but beneath it lies an interconnected architecture of global power. These technologies are no longer separate industries. Together, they are becoming one strategic system. 🌐 8 forces shaping the next global era: 1️⃣ #ArtificialIntelligence The intelligence layer transforming every industry. 2️⃣ #Semiconductors The foundation of the digital economy. 3️⃣ Compute Infrastructure The new currency of technological progress. 4️⃣ #Energy The power behind AI, data centers and advanced industries. 5️⃣ Critical Minerals The strategic resources behind chips, batteries and defense technologies. 6️⃣ #Space The next frontier for connectivity, security and economic expansion. 7️⃣ #Robotics The bridge between digital intelligence and the physical world. 8️⃣ #QuantumComputing The race to solve problems beyond today’s computational limits. ⚠️ The nations and companies that lead across these strategic foundations will not simply participate in the future. They will define it. The next AI gold rush is not about adoption. It is about ownership. 🎯 The future belongs to those who build it. #Innovation #DeepTech #FutureTech #GlobalEconomy @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @ThEiLe0 @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @NathaliaLeHen @jasuja @ralf_ladner @mary_gambara
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  14. Mike Flache@mikeflache
    AI building AI: The challenge is keeping pace with technology that is increasingly shaping its own evolution.
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  15. Mike Flache@mikeflache
    Mike Flache
    RT @bimedotcom: AI Is a Choice: The Narrow but Feasible Path to Collective Good ✍️ @alexolegimas, @elerianm, James Manyika via @ForeignAffairs 👉 The authors draw on cooperative game theory to warn that widespread AI adoption risks repeating the severe structural mistakes of globalisation. 👉 To counter concentrated labour disruption and political polarisation, they argue that governments, developers, and infrastructure partners must build expanding, localised coalitions that actively distribute technological gains via pre-emptive safety nets and retraining initiatives. 💡 The essay provides an essential macroeconomic intervention by shifting the AI alignment debate away from existential software algorithms and squarely onto the mechanics of wealth distribution, proving that a technology's ultimate impact on society is an institutional choice rather than an inevitable historical law. @Corix_JC @TheAIObserverX @maponi @mvollmer1 @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @IngridVasiliu @CurieuxExplorer @smoothsale @rvp @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @drsharwood @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @FernandaKellner @pchamard @NeiraOsci @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier
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  16. Mike Flache@mikeflache
    Mike Flache
    RT @Corix_JC: The AI #value curve >> The economics of applying #AI to existing work #tech #genAI #AgenticAI #data #digital #innovation #disruption #leadership #business #management #governance #CIO #CTO #CDO #CEO #CFO #ROI #valuecreation #AIStrategy #digitalstrategy #digitaltransformation @McKinsey @BetaMoroney @ChuckDBrooks @MikeFlache @Khulood_Almani @IngridVasiliu @Fabriziobustama @Timothy_Hughes @NafisAlam @YuHelenYu @RLDI_Lamy @MCLynd @OlKonol_oa @RigneySec @BenRothke @HWillert @AndrewinContact @TerenceLeungSF @Shi4Tech @enilev @Nicochan33 @SabineVdL @bimedotcom @IanLJones98 @FrRonconii @RiccardoBua @Eli_Krumova @NYIke @HaroldSinnott @SallyEaves @GlobalIQX @AntGrasso @AkwyZ @DinisGuarda @PVynckier @YvesMulkers @HaleChris @BillMew @RobMay70 @NigelTozer @m49D4ch3lly @Ronald_vanLoon @jeancayeux @NevilleGaunt @asokan_telecom @cybersecboardrm @RVP @QuePasaChico
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  17. Mike Flache@mikeflache
    Mike Flache
    RT @dinisguarda: What happens when AI infrastructure scales from thousands of GPUs to nearly a million? @googlecloud and @nvidia are preparing for the next phase of AI factories. Google Cloud’s Vera Rubin-powered A5X infrastructure is scheduled for general availability in November 2026, with plans to expand into Europe and potentially scale to 960,000 Rubin GPUs across multiple sites. This is not simply about building larger clusters. The infrastructure is being designed for the workloads now shaping the AI economy: agentic AI, reinforcement learning, enterprise automation and increasingly complex inference. Early use cases already include David Silver’s Ineffable Intelligence and WPP’s agentic creative workflows. The bigger question is how we translate this extraordinary computing scale into measurable economic value, while addressing power, cooling, security, governance and Europe’s continuing challenge around technological sovereignty. The AI race is increasingly becoming an AI infrastructure race. #NVIDIA #GoogleCloud #VeraRubin #AI #ArtificialIntelligence #AIInfrastructure #AgenticAI #AIFactory #GTCBerlin CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara
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