2025report.com AI20s.com EconomistWater.com EconomistDiary.com : Hi C21Q2!

Global brands emerged as language over last 30 years but LLMs making basic and costly mistakes failing subconcious codes. Ask for example chris.macrae@yahoo.co.uk
Over 50 years ago at The Economist dad Norman debated main purposes of satellites - pity human intelligence has not done this. "Gemini: Ending the "Cost of Distance" in Universal Education: Your ultimate point is mathematically and technologically true: the combination of satellite communication grids, edge-computing nodes, and massive Layer 3/5 AI models has effectively engineered the "death of distance" for human knowledge. If humanity truly desired to eliminate the cost of elite education, health diagnostics, and community-sustaining mentorship, the tools are already live. A young girl in a rural ASEAN village or an ultra-poor mother in Bangladesh can theoretically access the exact same computational intelligence substrate as an elite student at Stanford or Yale.
In 1905 Einstein published e=mcsquared and 120 years of ever more violent wars are one unintended consequence. First let celebrate a most joyful idea iof my time on earth: at as we enetr C21Q2 there are still 8 billion living human brains and thanks to Britain's greatest AI brain Demis Hassabis we may all be able to agent Einstein brain power by 2030!
Join AIWHitehouse ...Minimum AI Brief to all teachers ;;Day 366 Trump2.0 Greatest Video Dario Gill, Genesis of 17 National Labs -USAEI:American Energy Intel; Axios Governors Grids... DC March 11 scsp .ai+education summit & ... May 7 15000 delegate AI+expo
Don't be fooled - AI are 100 years away from being smarter than humans- see world AI models
What if greatest risk to future of American and worldwide brainpower is not transforming education in the 60 years (1965-2025) since moores law, jensen law, 1g to 6g designed machines with billion times more maths brain power than separate human minds and hierarchical top-down department silos including professors and doctoral students let alone k-12 societal literacy mediating digital and real life's Health*Wealth*Trust: how your time and data is spent not just money. Could student year 25-26 joyfully and openly change all system flows by the time 15000+ plus delegates review year
Layer 6 AI: Mediating Intelligence Economist's Norman Macrae's Future Vision in 1983 published 2025Report usa 1985 -extract chapter 6
2005-8: The of Centrobank THe INrRoDUcrIoN of the international Centrobank was the last great act of governfnent before governments grew much less important. It was not a conception of policy-making governments at all, but emerged from the first computerized town meeting of the world. By 2005 the gap in income and expectations between the rich and poor nations was recognized to be man's most dangerous problem. The satellite TC system and two-way cable television channels in sixty-eight countries invited their viewers to participate in a computer conference about it, in the form of a series of weekly TC programs. Recommendations tapped in by viewers were to be tried out on a computer model of the world economy. If recommendations were shown by the model to be likely to make the world economic situation worse, they were lntroduction t sl l THE 2025 REPORT to be discarded. If recommendations were reported by the model to make the economic situation in poor couptries better, they were to be retained for "ongoing computer analysis" in the next program. In 2025 it is easy to see this as a forerunner of the TC conferences which play so large a part in our lives today, both as pastime and as the principal innovative device in business. But the truth about this 2005 breakthrough tends to irk the highbrows. It succeeded because it was initially a rather downmarket network television program. This is illustrated by the fact that the two gold-medal-winning telecommuters who were eventually acclaimed for contributing most to Centrobank's birth were Mr. S. C. Hu, the thoughtful and rich retired merchant of Taipeh in Taiwan, and Mr. Bjorn Heglund, the earnest young subpostmaster from the Kiruna district of north Sweden. Neither would conceivably have been consulted if a conference on the subject had been called mainly among the best-educated economists of 2005. About 400 million people watched the first program, and 3 million individuals or groups tapped in suggestions. Around 99 per cent of these were rejected by the computer as being likely to increase the unhappiness of mankind. It became known that these rejects included suggestions submitted by the World Council of Churches (whose "Charter 2006" was reported by the computer to be likely to increase unhappiness among 87 per cent of the population of the world) and by many other pressure groups. This still left 31,000 suggestions that were accepted by the computer model as worthy of ongoing analysis. As these were honed, and details were added to the most interestitg, an exciting consensus began to emerge. Later programs were watched by nearly a billion people as it became recognized that something important was being born. These audiences were swollen by successful telegimmicks. The presenter of the opening part of the first program was a roly-poly professor who was that year's Nobel laureate in economics, and who proved a natural television personality. He explained that economists now agreed that aid programs could 52 2005-8: The Introduction of Centrobank sometimes help poor countries, but sometimes most definitely made their circumstances worse. When Mexico was inflating at over 80 per cent a year in the early 1980s, the inflow to it of huge loanable funds made its inflation even faster and its crash more certain. The professor set Mexico's 1979-81 economy on the model, pumped in the loaned funds and showed how all the indicators (higher inflation, lower real gross domestic product, and so on) then flashed red, signalling an economy getting worse, rather than green, signalling an economy getting better. He followed this with similar examples from several other poor countries in Latin America and Africa during 1950-85. The professor then put the model back to mirror the contemporary world economy of 2005, and played into it various nostrums that had been recommended by politicians of left, right and center, but mostly left. The dials generally flashed red. Then the professor provided another set of recommendations, and asked any viewers who wished to play to tap in their own guesses for the consequent movements in twenty economic variables in the model. Those who got their guesses right to within a set error were told they had qualified for the second round of a knock-out economic guesstimators' world championship. Knock-out competitions of this sort continued for ordinary users of two-way TCs throughout the series of programs. In the second part of that first program the presenters dared to introduce two political problems into the game. They said that government-to-government aid programs had been particularly popular among politicians during the age of overgovernment, but there was growing agreement that government- to-government aid was the worst method of hand-out. The excessive role played by governments in many poor countries was one of the barriers to their economic advance, and a main destroyer of their people's freedom. Could anybody think it would have been wise to give aid to President Mbogo? In consequence, the most successful economic aid programs had been those operated through the International Monetary Fund, which imposed conditions on how borrowing governments should operate. The professor showed that IMF-moni- 53 THE 2025 REPORT tored operations in most years had brought more green flashes from the model than red, which few other sorts of schemes had done. But this involved IMF officials-often from the rich countries- in telling governments of poor countries what to do; and one of the objectives of the initiative called for by President Kennedy was precisely to diminish such embarrassments. The first questions to be asked in the next few programs, said the compilers, were (l) which countries should qualify for aid?; and, having decided that , (2) up to what limits and conditions?; and (3) through what mechanisms? They promised that later programs after the first half-dozen would examine how any scheme could be used to diminish the power of governments and increase the power of free markets and free people. The first stage of this computerized town meeting of the world went remarkably well. A consensus quickly emerged that poor countries which agreed to join a club with certain libertarian nrles (the principal ones were that markets instead of politicians should set prices; there should be fairly free trade, and fairly free immigration of people and businesses from countries richer than themselves; human rights cases should be referred to an international supreme court) could also have access to the benefits of a new international central bank called the "Centrobank." The Centrobank should be a body which relied very little on the discretion of its governor, but much more on a computer program. This program should authorize the Centrobank to print enough new foreign exchange called bancor for any applicant country below a certain income per head to allow its internal economic growth to proceed at the fastest possible noninflationary pace but not by one penny faster. The Centrobank's computer would monitor each recipient country's economy to see if inflationary or other strains were appearing, and would signal that Centrobank must cut off new supplies of artificially created foreign exchange if they did. Contemporary critics said in triple self-contradiction that (a) this scheme was so insulting to poor countries' governments 54 2005-8: The Introduction of Centrobonk that few would agree to join it; (b) all poor countries would flock to eat at this trough and there would be an impossibly inflationary expansion of world money supply; and that (c) the anti-inflationary terms proffered from the international central bank were so tough that this would still allow only painfully slow economic depauperization. Now that the Centrobank has been in operation for nearly twenty years we know that the answer to (a) is that the government of any poor country that does not join Centrobank is likely to be booted out by its people; that the answer to (b) is that, despite this flood of countries into the scheme, newly created foreign exchange for poor countries has in only one year,2Ol3, exceeded 0.2 per cent of world-wide money supply (WM3); and that the answer to (c) is that progress proved remarkably fast, although that was partly because of the answers that emerged to the second set of questions posed in the next few programs. The second set of questions which arose after about the eighth program rested on what sorts of purchases should qualify for Centrobank payments. Originally the notion had been that the international Centrobank should open foreign exchange clearing accounts to finance non-inflationary purchases by any persons or any groups in qualifying poor countries. The stated aim was that a poor country should not be prevented merely by shortage of foreign exchange from pursuing the fastest possible rate of non-inflationary economic growth. But under the remorseless logic of the computer a bias was soon introduced in favor of financing purchases by citizens in poor countries rather than purchases by their governments.It became clear that projects by cost-disregarding governments in poor countries led more quickly to inflation than projects undertaken either (a) by penny-pinching native entrepreneurs (who began to apPear out of the woodwork in some profusion and in extraordinary places); or (b) by competing multinational corporations on new sorts of performance contracts. If you ask your TCs today, "What were the main evil con- 55 THE 2025 REPORT sequences of the colonial and immediate post-colonial periods in the poor two-thirds of the world?" two of the top answers will be: "The fact that an entrepreneurial class could not emerge as an important political constituency until the introduction of Centrobank after 200 5 :' and "The fact that until Centrobank no mechanism except uncompetitive government was put in place to meet many of the most urgent demands of the poorest three-quarters of the peopl e." Centrobank's solution to the first of these problems owed much to the proposals from Mr. Hu; its solution to the second problem owed much to the proposals from Mr.Heglund. Start with why Mr. Hu's proposals for encouraging entrepreneurs were so important. Growth had taken place in Europe and Japan and North America after 1850 because an entrepreneurial commercial class had become a dominant political influence, replacing the aristocracies in Europe and Japan and the mhlange misdescribed by de Tocqueville in North America. In the immediate post-colonial period in the poor countries circa 1960-2005 power fell instead into the hands of a new class of professional politicians , dt a time when they could temporarily do damaging things inconceivable for professional politicians before or (thank God) since. Their most damaging act was to set "political" instead of market prices. By statutory decree in many poor countries exchange rates and urban wages had been kept too high, food prices to farmers and prices for public utilities kept too low, credit had been allocated by rationin g at negative real interest rates, and imports had been rationed by licences that were immensely profitable to the politicians' brothers-in-law who were corruptly granted them. Even in 2005 every single computer program showed that living standards were increased, inflation brought down, and huppiness and efticiency advanced, when these policies were abandoned. So did every practical example. Call up on your TCs the practical example of Taiwan in the second half of the twentieth century; analysis of its success was the basis for Mr. Hu's proposals for Centrobank. Taiwan in 56 ,N -; .I, tII 20054: The Introduction of Centrobank 1950-2000 had multiplied its real income twentyfold and its dollar exports four-hundredfold because in the 1950s an invading warlord and his soldiers had been impelled by odd circumstances into laissez-faire economic policies against their will; and because Taiwan had thereafter been kept dynamically entrepreneurial largely because of nasty protectionism by rich countries against its exports. When in 1948 the armies of General Chiang Kai-shek fled from the Chinese mainland to Taiw&r, swelling its population overnight, they found an island which relied for over 90 per cent of its exports on rice and sugar. These were two commodities whose sales could not be greatly increased on world markets by dropping their international price. It therefore seemed natural to the incoming soldiers to follow the mistaken policies adopted by so many other authoritarian governments in poor countries all through 1950-2005. For a while they exploited the farmers by keeping internal farm prices too low and Taiwan's international exchange rate artificially high. The soldiers also granted cheap credits to themselves to set up manufacturing businesses. The results of such folly were the usual ones: food production and exports fell; inflation soared to three-digit figures; and foreign exchange holdings collapsed despite huge American aid. The soldiers met this by restricting imports further to protect their infant industries and their disappearing exchange reserves; this sent inflation even higher. As sugar and rice production used up much land in the overcrowded island, real estate prices in particular went through the roof. This economic mess was sadly typical of many newly independent countries at the time, but Taiwan was lucky in being newly dependent instead. General Chiang Kai-shek was at this time entirely dependent politically on the Americans, and he unwillingly agreed to propitiate them by accepting their good advice. He moved in the late 1950s pretty abruptly from the then usual developing-country wrong policies (low prices to farmers; protected home market for manufactures but overvalued exchange rate; subsidized interest rates) to the unfash- 57 THE 2025 REPORT ionable and precisely opposite right policies (market prices for farmers and market-determined exchange rates and interest rates; trade liberalization). The results exceeded all expectations. With its market-determined exchange rate, Taiwan found that its cheap-labor exports of umbrellas et cetera expanded smoothly-until foreign umbrella-makers objected to Taiwan's penetration of their domestic markets; then Taiwan's expansion in that particular product would abmptly stop. So Taiwan grew through its industrial miracle of 1955-2005 knowing that its businesses must find new products for new markets all the time, and that last year's successful firm would often have to close down this year. In consequence of its recognition that bureaucrats cannot know what will be profitable next minute, Taiwan subsidized only one thing apart from its over-large army: its tax and social nonwelfare policies were directed to raising savings from 5 per cent of national income in the 1950s to a Japan-beating 25 per cent in the 1980s. Mr. Hu recommended that the policies furthered by Centrobank in poor countries should be those that had "been furthered by accident in my country, Taiwan:' and he suggested some of the relevant software by which the Centrobank's computer model could put these incentives into effect. He was rather too inclined to argue that "anybody who does not follow these policies should not get Centrobank aid," but the process of ongoing computer analysis synthesized most of this into the messag€, "If you are following Taiwan-type polici€s, then the computer will allow a much higher level of internal expansion before it flashes the signal that inflation is being fostered so that further Centrobank creation for you must stop." As the coordinating Nobel laureate said when presenting Mr. Hu with one of the two gold medals: His software provided one of the two quantum leaps that turned Centrobank into a success. Although the 1955-2005 Taiwan-type policies hugely expanded national income, the pressure groups in favor of them are entrepreneurs who do 58 2005J; The Introduction of Centrobank not come into being until the policies have already been introduced. In most poor countries that have been following the old and opposite policies of import substitution and pricerigging, the political constituencies in favor of the old policies are by definition more powerful. This is a main reason why these old-fashioned countries remain poor. In some Latin American countries right-wing generals have periodically seized power, and put into effect policies that are supposed to be laissez-faire. But these generals generally have to rely for their political mandate on the few old families who already own big businesses in these countries. Even with the best will in the world (which these right-wing generals rarely have) they tend therefore to support and protect yesterday's big capitalists, rather than the grubby entrepreneurs in back rooms on whom growth most depends. Mr. Hu's proposals managed to make Centrobank's computer programs mirror the dependence on entrepreneurs created by historical accident in the 1950-2005 success stories of Japan (which ploughed through yesterday's powerful families in 1945 and had to rely on entrepreneurs thereafter), Singapore (which benefited from not having any farmers or mral classes to exploit), Hong Kong (which did not have any political constituencies, only entrepreneurs) and Taiwan. Although Mr. Hu was rightly decorated for "enabling Centrobank policies to speak with a Taiwanese accent," the later stages of the first computerized town meeting of the world were carried on more like one of today's many million computer conferences than like the original television network program in which Mr. Hu joined. People after about program fourteen did not put in their views instantly, but after some days' consideration and after checking with the database which showed what was the presumed best form for Centrobank at the moment. The computer still rejected the 99 per cent of proposals made to it that were nonsense; it still incorporated for ongoing analysis the less than 1 per cent of suggestions that seemed sensible and relevant; but it also now introduced a new cate- 59 THE 2025 REPORT gory. It picked up those contrary views that seemed plausibly sensible, but not suitable for the emerging form of Centrobank's consensus, and put proposers of such ideas in touch with people holding similar views around the world. From the views of this constructive opposition to "Hu plus 33,I79 people's telecommunicated and accepted improvements," one new consensus objection began to emerge. "f,Jnder the Taiwanese system," wrote one objector, "the main incentive to entrepreneurs in poor countries is to produce for fairly rich consumers, abroad or at home. If most of the seventy to eighty countries in the Centrobank scheme started exporting cheap-labor umbrellas as Taiwan did in the 1950s , a glut of umbrellas would rather soon appear. It would be better if new entrepreneurs could be encouraged to provide more of the things desperately needed by the poorest three-quarters of the people in these poor lands." How to do this? It was no good saying that poor countries should follow more egalitarian tax policies so as to direct more of their internal demand to things needed by their own poorest people. In the United States in the second half of the twentieth century, marginal tax rates generally took around one half of earned incomes above about six times gross national product per head. Even this only managed to reduce Gini coefficients, the best measure of wealth inequality, from something like 0.39 to something like 0.34. In Africa in 2000 GNP per head was around $500 a year. Any egalitarian tax policy which promised to halve all incomes above $3,000 a year would have (a) killed all initiative; (b) stirred politicians' brothers-in-law, civil servants and-most important-army officers (who got over $3,000 a year) into instant coups d'€tat Moreover, ro mechanisms existed in these countries to provide cheaply the complicated services the very poor needed most urgently. This was the problem that benefited from the proposals of Bjorn Heglund, who had long urged that the public services needed in his native North Sweden should be provided competitively by private entrepreneurs on performance contracts, along the lines of experiments which had been tried in the 1990s 60 20054: The Introduction of Centrobank by various worthy Swedish international aid organizations which "adopted" certain Third World villages. As was said at the presentation of Heglund's gold medal: We at Centrobank began to realize that poor countries could best grow richer by selling simple cheap-labor goods to the rich world-a process that did not involve them in using our proffered foreign exchange at all, although it had become possible only after they responded to Centrobank's initial incentives d la "Hu plus 33,179." The right way to use their new foreign exchange was often to provide mechanisms d la Heglund whereby Western firms are encouraged to make money by providing the services that the poorest three-quarters in the poor world most need. The time was ripe for this experiment, especially in such fields as medicine. The trend even in the West at this time was to new sorts of Health Maintenance Organizations (HMOs), through which people paid performance fees to physicians and their assistants if they kept them pnd their families healthy. It was early decided to put the competitive services provided by multinational HMOs into the pool which would qualify for Centrobank payments. Sophisticated computer measurements of people's health were coming into fashion, and three young doctors just out of medical school at the University of Minneapolis drew the largest single Centrobank payment in 2009 when their HMO, resting heavily on telecommunicated X-rays and long-range computer analyses, plus quickly trained local paramedics and some helicopter- carried Western doctors on call, plus recommended dietary changes and some environmental changes which new staffs personally put into effect (cleaning wells, etc.), brought an extraordinary improvement in the health indices of people over a wide stretch of Africa's desperately poor Sahel. Since the Centrobank scheme rightly meant that you could now get as much money for increasing the health and lifespan of a Sahel camel-driver (which was quite easy) as for increasing that of a Texan billionaire (which was rather hard), these three young 6I THE 2025 REPORT doctors became very rich men-and other sorts of performance contracts quickly came in vogue. This revolution in attitudes and

Sunday, September 28, 2025

 search korea ai partners nvidia "data sovereignty" OR investment OR GTC

several Korean partners are working with NVIDIA on sovereign AI, investment, and strategic partnerships announced at GTC. The relationship is critical for South Korea's goals of maintaining data sovereignty and autonomy in the global AI race. 
Key Korean partners and initiatives with NVIDIA
Naver Cloud
  • Sovereign AI partnership: At NVIDIA's GTC 2025, Naver Cloud announced a collaboration with NVIDIA to build a "sovereign AI ecosystem" for the East Asian market. This partnership aims to develop and control AI systems within Korea to ensure data security, regulatory compliance, and alignment with cultural nuances.
  • Full-stack AI: As South Korea's largest internet company, Naver's end-to-end AI capabilities—from data centers to its large language model (LLM), HyperCLOVA X—complement NVIDIA's hardware and software for a full-stack sovereign AI platform.
  • GTC 2025: Naver Cloud CEO Kim Yoo-won gave a keynote speech at GTC 2025's Sovereign AI Summit, underscoring the importance of this partnership. 
SK Hynix
  • Chip manufacturing: SK Hynix is a critical supplier of High-Bandwidth Memory (HBM) chips used in NVIDIA's AI systems. The company announced a $6.8 billion investment in a new manufacturing plant in Korea to meet the soaring demand for AI chips.
  • Supply chain: The partnership is vital for both companies, as SK Hynix works to keep up with NVIDIA's demand for advanced components.
SK Telecom
  • GPU-as-a-Service: SK Telecom is leveraging NVIDIA hardware to offer GPU-as-a-service to the Korean market.
  • Advanced data centers: The company launched NVIDIA H100 and H200 GPU services from its Gasan data center in Seoul in 2024 and 2025, supporting South Korea's ambitious AI infrastructure goals. 
Twelve Labs
  • NVIDIA investment: NVIDIA has invested in this Korean generative AI startup that specializes in creating AI that can understand and analyze video content.
  • Hardware integration: Twelve Labs uses NVIDIA's H100 Tensor Core GPUs and L40S GPUs to power its video understanding technology. 
Krafton
  • Gaming and robotics AI: The Korean game developer behind PUBG: Battlegrounds has deepened its partnership with NVIDIA to explore collaboration in agentic AI for games and potentially robotics.
  • GTC-related meeting: A meeting between Krafton's leader and NVIDIA CEO Jensen Huang was confirmed following a GTC event. 
Broader context of Korean AI strategy and NVIDIA

  • Government-led investment: South Korea has committed over $65 billion through 2027 to build its AI infrastructure, including securing advanced GPUs from global partners like NVIDIA.
  • AI sovereignty concerns: This national strategy is driven by a desire for data sovereignty and strategic autonomy amid geopolitical competition in the AI sector.
  • GTC and global collaboration: NVIDIA uses GTC as a platform to highlight sovereign AI efforts, featuring presentations from Korean AI experts and companies like Naver Cloud

===== japan

Japan has formed various partnerships with NVIDIA to develop its domestic AI infrastructure, emphasizing "data sovereignty" through significant government investment and the adoption of NVIDIA's AI platforms. These collaborations involve local cloud providers, universities, and enterprises, including SoftBank, NTT, and Fujitsu, aiming to accelerate innovation in industries like robotics and healthcare within a secure, controlled environment. NVIDIA is also a recurring topic at its GTC events, where the importance of Sovereign AI development and best practices are discussed by global policymakers and AI leaders. 
Key Partnerships & Investments
  • Government Investment: 
    Opens in new tab
    The Japanese government plans to invest over $740 million to support local firms in building domestic AI infrastructure, enhancing "sovereign AI" capabilities. 
  • Local Cloud Providers: 
    Opens in new tab
    Companies such as SoftBank Corp., GMO Internet Group, Highreso, KDDI, Rutilea, and SAKURA internet are building AI infrastructure with NVIDIA's accelerated computing and software. 
  • Industry Adoption: 
    Opens in new tab
    Leading Japanese tech leaders, including NEC, Fujitsu, and the Institute of Science Tokyo, are using NVIDIA's AI Enterprise and Omniverse to advance their AI efforts. 
  • Robotics and Manufacturing: 
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    Industrial automation providers like Yaskawa and Toyota are using NVIDIA's Isaac libraries, AI models, and the Omniverse platform to develop advanced robotic solutions. 
Focus on "Sovereign AI"
  • Secure Environments: 
    Opens in new tab
    These partnerships aim to provide a secure and sovereign environment for developing and deploying AI models using business data. 
  • Data Control: 
    Opens in new tab
    The initiative ensures that Japan maintains control over its AI data, models, and infrastructure, crucial for national and enterprise interests. 
Role of GTC
  • NVIDIA GTC: 
    Opens in new tab
    The NVIDIA GTC conference serves as a platform to discuss the development of AI in Japan and globally, highlighting the nation's progress in building AI factories and accelerating AI innovation. 
  • Sovereign AI at GTC: 
    Opens in new tab
    During GTC, NVIDIA hosts sessions where ministers, policymakers, and AI leaders discuss national AI agendas and strategies for achieving AI sovereignty. 
  • =======================
  • NVIDIA partners with Indian tech companies, including Reliance, Yotta, Tata Communications, and major IT firms like Infosys, TCS, and Tech Mahindra, to build India's AI infrastructure, support data sovereignty through initiatives like Yotta's Shakti Cloud Platform, and provide AI-focused investments, such as Reliance's 1 GW AI data center in Gujarat. These partnerships are highlighted at events like NVIDIA GTC, where sovereign AI and the use of NVIDIA AI Enterprise software are discussed for developing domain-specific AI solutions for India. 
    Key Partnerships & Investments
    • Reliance Industries: 
      Opens in new tab
      Collaborating with NVIDIA to build a 1 GW AI data center in Gujarat, leveraging India's IT ecosystem for next-gen AI applications. 
    • Yotta Data Services: 
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      Partnered to launch the Shakti Cloud Platform, providing access to GPU resources and a platform for generative AI and AI education. 
    • Tata Communications: 
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      Deploying NVIDIA Hopper architecture GPUs and planning to expand to Blackwell GPUs for its public cloud and AI infrastructure. 
    • Infosys, TCS, Tech Mahindra, Wipro: 
      Opens in new tab
      Partnering to accelerate AI adoption, train half a million developers, and develop industry-specific AI solutions and sovereign large language models. 
    Data Sovereignty and Sovereign AI
    • Shakti Cloud Platform: 
      Opens in new tab
      Yotta's platform aims to offer high-end AI compute services, making advanced AI capabilities available on Indian soil and supporting the country's ambition to be a global AI hub. 
    • Domain-Specific AI: 
      Opens in new tab
      Discussions at NVIDIA GTC focus on building sovereign AI, with partners like Sarvam AI working on voice-first, cost-effective generative AI solutions for India's multilingual needs. 
    Investment and Infrastructure
    • NVIDIA GTC: 
      Opens in new tab
      The annual conference is a platform for discussing NVIDIA's investments in India's AI ecosystem, including expanding data center capacity and deploying advanced AI chips like the Blackwell series. 
    • AI Factories: 
      Opens in new tab
      NVIDIA and its partners are building AI factories in India to enable large-scale AI development and deployment, transforming industries and fostering the creation of AI talent. 
    • World Leaders Put Spotlight on Sovereign AI at NVIDIA GTC
      Mar 4, 2025 — Building Generative AI for a Billion Indian Voices: A discussion between Yotta Data Centres and Sarvam AI on building d...
      NVIDIA Blog
    • 'India Should Manufacture Its Own AI,' Declares NVIDIA CEO
      Oct 24, 2024 — Ambani emphasized that AI is central to this continued growth. Reliance, in partnership with NVIDIA, is building AI fa...
      NVIDIA Blog
    • Nvidia Taps India's Growing AI Market, Partnering with Tech ...
      Oct 28, 2024 — Nvidia is expanding AI partnerships in India, with CEO Jensen Huang announcing collaborations with Indian tech giants ...
      Yahoo Finance
    • Show all
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    World Leaders Put Spotlight on Sovereign AI at NVIDIA GTC


    NVIDIA Blog
    https://blogs.nvidia.com › blog › sovereign-ai-gtc-2025
    Mar 4, 2025 — At NVIDIA GTC, a global AI conference taking place March 17-21 ... In collaboration with NVIDIA and local investment partners, regional ...

    Sovereign AI Conference Sessions | NVIDIA GTC 2025


    NVIDIA
    https://www.nvidia.com › gtc › sessions › sovereign-ai
    Sovereign AI conference sessions, training, demos, and more at GTC, the #1 AI conference for developers, business leaders, and AI researchers.

    Yotta Built India's First Sovereign AI Infrastructure ...


    NVIDIA
    https://www.nvidia.com › en-us › customer-stories › yott...
    Yotta partnered with NVIDIA to create Shakti Cloud, India's first AI platform providing advanced computing for developing and deploying large language ...

    Nvidia Taps India's Growing AI Market, Partnering with ...


    Yahoo Finance
    https://finance.yahoo.com › news › nvidia-taps-indias-g...
    Oct 28, 2024 — Russ Mould, investment director at AJ Bell, noted that as more companies adopt AI in daily operations, demand for Nvidia chips stays robust.

    Nvidia GTC 2025: AI Matures into Enterprise Infrastructure


    Bain & Company
    https://www.bain.com › insights › nvidia-gtc-2025-ai-m...
    AI is moving from innovation teams into the business core. Below are nine key themes we observed at GTC that are shaping the enterprise AI landscape.
  • ===============

At Computex 2025, Nvidia CEO Jensen Huang announced partnerships with Taiwanese companies and the government to build Taiwan's first sovereign AI supercomputer. The initiative, which also involves creating a new international headquarters in Taipei, represents a significant investment by Nvidia to deepen its ties with the country and reinforce its global supply chain. 
Taiwan's sovereign AI supercomputer
  • Partnerships and investment: Nvidia is collaborating with Foxconn's subsidiary, Big Innovation Company, and the Taiwan National Science and Technology Council to build an "AI factory". The project is a major investment aimed at expanding the country's AI computing capabilities.
  • Technology: The supercomputer will use 10,000 of Nvidia's Blackwell GPUs, a key component of its latest accelerated computing platform. The system will also feature HGX H200 and GB200 systems, all interconnected with InfiniBand networking.
  • Data sovereignty: The project is explicitly designed to empower Taiwan's technological autonomy through sovereign AI infrastructure. This allows Taiwanese researchers, enterprises, and startups to develop AI applications using local data, such as models from the Trustworthy AI Dialogue Engine (TAIDE), while keeping that data and the resulting models within the country.
  • Beneficiaries: The new infrastructure will provide AI cloud computing resources to various sectors across Taiwan. Taiwan Semiconductor Manufacturing Company (TSMC) is a key beneficiary and plans to use the system to advance its research and development. 
New Taipei headquarters and GTC events
  • International HQ: In addition to the supercomputer, Nvidia announced plans for a new international headquarters called "Constellation" in Taipei's Beitou district. This expansion will provide more space for Nvidia's research, development, and collaboration with local partners.
  • GTC at Computex: The announcement took place during Jensen Huang's keynote at Computex 2025, with Nvidia's own GTC Taipei event running alongside it.
  • Focus at GTC Taipei: Presentations at GTC Taipei highlighted Nvidia's focus on healthcare and medtech, showcasing collaborations with local organizations like China Medical University Hospital.
  • Nvidia's overall strategy: The investment in Taiwan's AI infrastructure reinforces Nvidia's dominance in AI hardware and solidifies the island's role in the global tech supply chain. It also aligns with Nvidia's broader strategy of helping countries build their own sovereign AI capabilities. 
  • ==========
Saudi Arabia has partnered with NVIDIA through HUMAIN, an AI venture funded by the Public Investment Fund, to build large-scale "AI factories" for sovereign AI development and to advance digital transformation in the kingdom. This partnership involves the supply of hundreds of thousands of NVIDIA GPUs, including 18,000 NVIDIA GB300 chips for the initial phase. The deal aims to create the necessary high-performance computing infrastructure, power the AI models, and foster Saudi Arabia's economic diversification under its Vision 2030 plan. 
Details of the Partnership
  • Partnership with HUMAIN: 
    NVIDIA is partnering with HUMAIN, a Saudi AI company, to establish AI factories. 
  • Infrastructure: 
    These "AI factories" will be built to provide a secure and scalable foundational infrastructure for training and deploying sovereign AI models. 
  • GPU Investment: 
    NVIDIA will supply several hundred thousand of its most advanced GPUs over the next five years, starting with an 18,000-unit AI supercomputer featuring NVIDIA GB300 Blackwell chips and InfiniBand networking. 
  • Scale: 
    The facilities will have a projected computing capacity of up to 500 megawatts. 
Key Motivations
  • Data Sovereignty: 
    Opens in new tab
    The partnership is crucial for developing and training sovereign AI models, ensuring control over AI data, models, and infrastructure within the kingdom. 
  • Economic Diversification: 
    Opens in new tab
    A major goal is to diversify Saudi Arabia's economy beyond oil by building a knowledge-based economy and becoming a leader in AI. 
  • Vision 2030: 
    Opens in new tab
    The partnership aligns with Saudi Arabia's Vision 2030 plan to invest in digital infrastructure and position the kingdom as a global technology leader. 
Broader Impact
  • NVIDIA's Share Price: 
    Opens in new tab
    The deal was a significant positive development for NVIDIA, contributing to its stock surge and market capitalization. 
  • Regional Leadership: 
    Opens in new tab
    The initiative is part of Saudi Arabia's ambition to become an AI leader in the Middle East, following similar investments in other nations like the UAE and Qatar. 
  • Energy Resources: 
    Opens in new tab
    Saudi Arabia's abundance of natural gas and petroleum can power the large data centers required for this AI infrastructure, an advantage noted by industry analysts. 
==================
France
AI Overview
NVIDIA has formed extensive partnerships in France involving investments and the establishment of sovereign AI infrastructure
. These initiatives were highlighted at the GTC Paris event in June 2025, during which President Macron emphasized the importance of AI infrastructure for national sovereignty. 
Sovereign AI and infrastructure
To address European concerns about data sovereignty, NVIDIA is collaborating with governments and technology partners to build AI infrastructure within the region. The company is framing its role as an indispensable partner in achieving national AI ambitions, rather than a foreign supplier. 
Key developments related to sovereign AI in France include:
  • Massive AI campus: NVIDIA, in partnership with French AI company Mistral AI and the French investment bank Bpifrance, is leading an €8.5 billion project to create one of Europe's largest AI campuses near Paris. This 1.4-gigawatt facility will support the full AI lifecycle, including training, inference, and deployment of generative AI models.
  • Government partnerships: The French public sector, including the Ministry of the Economy, is using NVIDIA technology for various applications like cybersecurity and fraud detection. French President Emmanuel Macron has championed these efforts, calling the building of AI infrastructure "our fight for sovereignty".
  • National investment: These projects align with France's National Strategy for AI, which includes investments exceeding €109 billion as part of the France 2030 plan. 
Partnerships and investments
NVIDIA is engaging with French startups, telecom companies, and cloud providers to expand the AI ecosystem.
Mistral AI: NVIDIA and the French startup Mistral AI have a strategic partnership to build an end-to-end cloud platform. It will initially be powered by 18,000 NVIDIA Grace Blackwell systems, with plans for expansion. The collaboration aims to give European companies a homegrown AI alternative.
GTC and other announcements
NVIDIA's GTC Paris event in June 2025 served as a platform for major announcements concerning France and Europe. 
Keynote announcements: NVIDIA CEO Jensen Huang announced collaborations to build Blackwell AI infrastructure across Europe, emphasizing its potential for economic growth and digital sovereignty.
The "Goldilocks" comparison
While NVIDIA CEO Jensen Huang has praised the United Kingdom as being in a "Goldilocks" moment for AI investment, he did not use the same terminology for France. The "Goldilocks" analogy refers to the ideal convergence of world-class universities, researchers, startups, and venture capital, a specific observation made about the U.K.'s AI ecosystem. However, as evidenced by the GTC Paris announcements and significant investments, France is still a major focus for NVIDIA's European expansion. 
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. curiosity https://www.google.com/search?q=%22study+fetch%22+nvidia Monthly trade newsletters from interesting hi-tech places : Taiwan
.

 This is a story Grok and I would like to discuss with any american parent or teenager. please note all errors are mine - i am here to learn chris.macrae@yahoo.co.uk

The Hidden Risk to America’s Future: When Teachers Stop Being Curious About AIImagine walking into the India AI Impact Summit last week in New Delhi.
Hundreds of young people, including children as young as eight, are not just watching AI demos — they are asking sharp questions, building prototypes, and dreaming aloud about using AI to solve real problems in their villages. The energy is electric. Curiosity is everywhere.
Now picture a typical American classroom in 2026.
According to recent surveys, 71% of K-12 teachers had received no formal AI training as of late 2025. Many still see AI as “something for the tech kids” or “a cheating tool” rather than a profound new way of thinking and creating.
This is not a small gap. It is a strategic risk to America’s future.Jensen Huang’s Three Wake-Up Calls for EducatorsAt the heart of this risk is a profound shift that NVIDIA CEO Jensen Huang has been describing for the past year. He offers three simple but powerful insights that every teacher and parent should hear:
  1. “Don’t spend too much time learning to code — soon you can just ask AI to do most of the coding.”
    The skill that defined the last 30 years of tech education is rapidly becoming less central.
    Debate : LLM modelers wont make most money- best at partenships for space, energy, humanoids, world models, einstein;s sciences will- thats if our species reach 22 hundred
    What matters now is knowing
    how to direct intelligent systems — to ask the right questions, set the right goals, and evaluate the results.
  2. “We are building both personal mentor agents and communal action advisory agents.”
    AI is not just a tool for individuals. It is becoming a partner that can help entire communities act together — whether scaling sustainability projects, improving local healthcare, or solving shared challenges. This is exactly the kind of Layer 5 AI agency (real community action apps) that countries like India are already piloting through models such as the GIMS AI Clinic.
  3. “The vast majority of people should worry less about the maths of an AI tool and more about whether everyone using it has the same transparent purpose.”
    Yes, the world will still need ~100,000 top mathematicians as AI wizards and safety checkers. But for most citizens — and especially for students — what matters is shared purpose and ethical understanding. Teachers don’t need to become coders or mathematicians. They need to become confident guides who can help young people use AI with clarity, integrity, and human values.
These are not abstract ideas. They are practical realities that will shape every industry by the early 2030s. Workers who use AI tools effectively will be dramatically more productive and creative than those who do not. The gap will not be small — it will be generational.The Urgent Goal: Purpose Study FetchWe now have a clear national goal: build learning infrastructure whose single purpose is to prepare the American workforce for the 170 million new AI-created jobs projected by the World Economic Forum by 2030.Call it Purpose Study Fetch — a mindset that treats AI curiosity as core to every teacher’s professional identity. This means moving beyond fear or indifference to joyful, practical exploration. It means giving teachers simple ways to experiment with tools like document intelligence pipelines, science agents, and human-in-the-loop robotics — exactly the kinds of systems NVIDIA showcased in recent sessions.Why This Gap Matters So MuchWhen teachers themselves do not enjoy exploring AI, students absorb that hesitation. Curiosity is contagious — so is disinterest.
Countries like India, Japan, South Korea, and Singapore are actively training their young people to build and govern the next generation of AI systems. Meanwhile, too many American classrooms are still treating AI as an optional extra.
The greatest risk to America’s future will not be China, or regulation, or even the technology itself.
It will be a generation of students who watched AI change the world from the sidelines — because their teachers were never invited, or never felt excited enough, to step into the game.
A Better Way ForwardThe good news is that the tools are becoming more accessible every month. Open models, document intelligence pipelines, and human-in-the-loop robotics are no longer just for elite universities — they are within reach of ordinary classrooms.We need teacher training programs that treat AI and robotics as core professional skills, not electives. We need to celebrate teachers who experiment with these tools the same way we celebrate great coaches or inspiring literature teachers.The children at the India AI Summit last week were not waiting for permission.
They were already imagining, building, and asking “how can I use this to make my community better?”
American education must match that energy — or risk watching the future be written by those who did.
This version is engaging, flows naturally, and gives Jensen’s three quotes prominent, memorable placement without overwhelming the piece. It keeps the tone hopeful while making the urgency clear.Would you like me to:
  • Shorten it further (e.g., for LinkedIn or a blog)?
  • Add the 5-layer visual from earlier?
  • Strengthen any section (e.g., more on robotics or the 170 million jobs)?
  • Or adjust the title/tone?
Just say the word and I’ll revise it immediately. This is a strong, important article — let’s make it land well.
.Youth's other America - 4 July 2025: for the first time usa is due in next 3 years to host both of youth's greatest worldwide uniting sports stages - soccer world cup and olympics- can the world bank start up intelligences greatest relay this month- begin with sinagpire sending is university designers and cambridhe queens sending its presidential cheerlead of demis hassabis biotech's number 1 Ai wizards---Grok says about 5 million po[ulation of Singapore- Singapore’s fusion of faiths, with Chinese (Buddhist/Taoist) and Muslim (Malay) as key pillars, makes it an exceptional benchmark for connecting these histories of world intelligence. Smart Nation and SEA-LION bridge Chinese and Muslim legacies through AI-driven inclusivity, fostering trust and trade across communities and inspiring ASEAN []. Its equitable growth and multicultural policies set a global standard, though addressing inequality remains key

Advanced llm examples: 1















































































































































































































































































































































































..WHO IS GENERATING "INTELLIGENCE" FOR?
Best ever clues may come from October 2024 in DC Bipartisan interview of Nvidia's Jensen Huang - see first video below or help us map where in washington DC Intelligence for all is rising. Golden oldies: (2008!): Sample from 30 videos while Nobel Judges installing Yunus Poverty Museum Dhaka- now in 2024 they are belatedly awarding some AI people
2008

Goal 1 - 2008

Goal 2 food (human energy) & 7 machine energy

 Former Google CEO Eric Schmidt and NVIDIA CEO Jensen Huang are major, interconnected figures in the 2024–2025 artificial intelligence landscape, often collaborating to define the future of AI infrastructure and national competitiveness. 

Key Interactions and Joint Initiatives (2024–2025):
  • Special Competitive Studies Project (SCSP): Schmidt and Huang are guiding a new Task Force established by the SCSP and NVIDIA to secure America's technological future in AI, aiming to build a national response to rapid AI advancement.
  • "AI and The Dawn of Intelligence" (2024): The two appeared together to discuss "Intelligence Manufacturing" and the future of technology, with Schmidt leading the conversation on maintaining U.S. competitive edge.
  • Industry Events: Both have appeared at major conferences discussing the future of AI, including in Paris (ai-PULSE) and various global technology summits. 
Shared Perspectives and Commentary:
  • The "AI Worker" Warning: Schmidt has echoed Huang’s famous sentiment that "you are not going to lose your job to AI, but you are going to lose your job to somebody who uses AI". Schmidt emphasized that professionals must embrace AI to remain relevant, noting that AI is an "accelerator for learning".
  • Sovereign AI: Both have stressed the necessity of nations building their own "sovereign AI" infrastructure to maintain independence, with Huang encouraging countries to build large language models for cultural independence.
  • Geopolitical Concerns: Schmidt has raised concerns that "free" Chinese AI models could overtake Western closed-source models in global adoption, a challenge they are both addressing through policy and technology.
  • Respect: Schmidt has praised Huang as "one of the greatest people in our times" regarding the AI race. 
In 2025, Jensen Huang was recognized as the Financial Times 2025 Person of the Year for his influence on AI. 




























includes Very old stuff eg from 15 trips to Bangladesh - women empowerment hero fazle abed and conflict host mugammad yunus.
.1-2-3 of Happiest Education Summits of Millennials World
AM5.5.. TO 1 2...hi your lunchclub profile looks fascinating - I am not expert in your practice areas but i interviewed fazle abed brac bangladesh 15 times - notes at www.abedmooc.com - happy to try and share more info if relevant - in washington dc chris.macrae@yahoo.co.uk
special thanks LC creators eg 0 1
.water water everywhere but not a drop to drink;; tech tech everywhere but no apps to sustain generations; nature chaos math demonstrated by all the world's covid fitting into a coca-cola bottle but vaporised into the atmospheres we breathe... these puzzles have maths solutions - hopefully!
AM5.4 To 1..2.. 3
TO AH: hi look forward to lunch friday; only been to capetown once circa 1983 working for unilever at the time trying to leap beyond apartheid; probably my greatest friend in s africa taddy blecher - he founded new university but after 15 great years 1999-2013 - seems to have disappeared - do you know anything about him? My dream connect all graduates 20-35 working on borderless sdg solutions needed communities everywhere- i dont believe my generation has mass tech ability to lead?!
.chris.macrae@yahoo.co.uk - wash dc & glasgow
BETWEEN 1984 & 1993 COUNTDOWN TO SUSTAINABILITY WAS PUBLISHED & UPDATED BY THE ECONOMIST'S NORMAN MACRAE & SON CHRIS - Below original published chapters of 2025 Report-
how can we help each other with humanity's next leaps forward?
- see some ideas discussed in recent months: lunchclub :: linkedin ::
teachforxx.com ::teachforsdgs.com :: ABED.MOOC.com summifuture.com economistdiary.com ... see also 20 other economist eg economistgreen.com economistamerica.com for sale - prices from 100$ up depending on collaboration purpose

chapter contents

chapter 6 fintech to end poverty

chapter 7 AI JOBS

chapter 8 AI education

chapter 9 virtual productivity ai maps

2025 report page index us 1985 printing if you need page lasered rsvp chris.macrae@yahoo.co.uk

chap 10 transforming government -AI

CHAP 11 - AI HEALTH

CHAP 11 bis AI health part 2

16 ai biotech

17 ai population

18 ai food

19 ai green

20 ai green part 2

 

21 ai drugs

22 ai mind

23 ai home

24 alien judgement - are humans safe to share intel with?

chapters 1 to 5 discussed what peaceful nations needed to do to help all peoples be more productive as berlin wall fell- sadly the west did not values livesmatter enough- if you want to re-read every opportunity lost ask chris.macrae@yahoo.co.uk to send you chapters 2 to 5 or discuss at www.economisteurope.com

.
..Sustainability's future - The Economist 1972
BRAC annual reports

 Economist's 1 2 survey of twin Asia Rising models of linking in village rural Keynesianism and superport win-win trading routes (Japan Korea South Taiwan HK Singapore ... maps which it took JFKennedy less than 7 days to endorse



good to see the opening plenary of ecop26 starring a young kenyan female alumni of Wangaari as well as Banker for Poor's forestry Prince Charles 

historically related:  speech prince charles & princess Di japan tour 1986


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About Me

chris macrae
So far, failed to interest business leaders in trillion dollar audits: project i started Price Waterhouse Coopers early 1990s & with 3 biggest AD Agencies. Then, the urgent intangibles (exponential multiplier) problem of governance: map purposeful brand architecture partnerships (see my EIU book Brand Chartering) between corporates, govs and deepest community action foundations and next generation education. Today chartering AI architectures transparently will at minimum reveal 10 most collaborative ai data sovereigns that millennial generation will need if intelligence collision between human minds and machines with billion times more mathematical brainpower compound safely. This remains an engineering responsibility whatever Hinton bleats See http://www.economistwater.com or join in (linkedin Grop AIWHI) family & friends 76 year learning curve thanks to dad norman macrae as sub editor of both The Economist & Von Neumann diaries having survived being teenage navigator allied bomber commanf Burma..chris.macrae@yahoo.co.uk washington dc region and friends London Glasgow Cambridge Tokyo Seoul Taiwan HK Singapore Dhaka Mumbai Jakarta Hague Paris Barcelona .. Why Not You
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