Peoples in intelligence era actually voting for their place's layer 3 AI Data Sovereignty not rival political parties. Updated chat October 2026 here - thanks to Japan from 1976 helping readers of The Economist foresee Entrepreneurial Revolution back in 1976 predicting AI most valuable transformation of 21st C intelligence worldGlobal 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 failing to 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

Saturday, June 7, 2025

welcome on our latest ai gameboard and surounding ai pamphlet- under construction chris.macrae@yahoo.co.uk Bethesda MD

75 years of tech diaries-maths-mediation:  Neumann.Ning.com EconomistDiary.com AI20s.com  EconomistJapan.com 

Our latest AI game has 6 types of playing pieces

player 1 engineer who cares most about data sovereignty for a peoples place -examples king charles and the way he launched ai world series summit to help identify coresponding place leaders -relay summit 2,3 ,4 ...

Or bloomberg who helped new york recover from firest 12 years after 9/11 as mayor and from 2007 started focusing his philanthropy on benchmarking with other city mayors; in 2025 itb is estimated that at  least 45 cities in 15b countruies are best in kind in some way relevant to supercoty design round tech and peoples

player 2-4 are e ai super genii but people who compliment ieach other in their alumni celebrating 25-35 as most exciting time to be alive - currently we suggest 2 jensen hunag 3 demmis hassabis 4 elon musk as wildcard but exceptional engineering brain

we nominate as 5 most trusted long-running academic of ai and what is today more thn 10**18 tech than 1965 -we suggest yan lecun - unlike the oether 3 ai wixzards he is not a billionnaire and is able to be as open as academia and world of advancing students intelligence can be\ 

as player type 6 we are looking for someone whose current afairs stores are sources of virally good news for millennials eg drew endy whose catalgue of botech stiries is amazing - did you know latex can now be intelligence manufactired from dandelions? an up market leather substitute can be manufactured from mushrooms- a gopod use of eg grok3 is take a place you care about and ask for suggestions of a mircale crop - either making a surprsie material or perhaps producing 10 times more food per small farmer thna previously known


-Please note one way to check out whether your choice 6f 6 is g66d enough to start shar5ng w5th others who see the coming decade as as intelligence most exciting one - check how many co-creatirs can be linked to your nomination because they are advancing intelligence in ways that twin matching enginnering brilliance or urgency of millennail need. Tip you can also asko one of the reasoning chats eg grok3 - is this ai cluister changing what ttenagers study and teachers of teenagers also lifelong action learn around.

2 Huang.
Began 20s as close partner of Japan Masa Son & Arm CEO- 3rd 5-year step in designing supercopmuters and human codes of deep learning- see 2024 tour Mumbai Tokyo Taiwan Santa Cla Hong Kong DC Huangs family sent him to immigrate in usa ge9 from Taiwan via Thailand; he was ordgon's atte youngest engineering graduate- together with Oregon Engineering wife Lori they moved to Silicon Valley with Stanford becomng Jensen's graduate alma mater

Silicon Valley's longest running corporate  ceo and trusted partner of Pacific Inteligence Development: since 1993 huang was first engineer to win-win two coming million fold rising expoentials - design computer computer gtus ; apply to deep data clouds as satellites 1g to 5+G mobilised data from every human community to digital world; huang twiined stanfird and taiwans relevant engineers; as  stanfird alumni he ws helped by two other taiwanese america families the yangs and the tsais who have reinveted most of their fotrtunes in stanford - jerry corrently chairs stanfird bora, clar wu tsain is also a bo9ard member having funded neurocsience scools in both stanfird and her husbangs alma mater yale0; clara now runs excitiing community netwoirks for developing black teenage girks - she own s womne basket ball teams and brooklyns barclay centre and so neuroscience, and girl athletes development are rewriting physiology curricula for all inner city girts from pre-adoelscence up
from 2002 with setve jobs pixar first in world to start coding pixels instead of just 0,1 - soon this became radilogy ai and then essential for all usrgeons maps this health ai was first giasnt leap; back in 1984 steve had launched apple mac with advert lets end roisk or orweel's big brother ebndgame; in 2001 he hosted 65 birthday pary of fazle abed brac - number 1 intelligence developer or poorest asian vilage girls since 1970 (when a typhook that killed half a million of abed compatriots changed his life from beijng region ceo of shell oil to community engineer of povert alleviation); at abed's 65th birthday wish party - steve and fazle ashed academics to start uniting women postgrad enginners in 4 deepest ares of development - firt mil food, health, loivelihood education, safety of teen age girls from rural vilage to megacity (eg during abed's lifetime bangladesh went from 90% vilage to nearly 40% city); until 1996 vilages had no access to electricity but then started atracting lepfrog engineer combining mobile phones and solar panels as way to develop region that had missed out of the fiurst 150 years of electriucty drids and landline telcoms (standards which have bene coordinated olut ofs witerland since 1865)
 - it is possible to make a list of enatly 100 engineers who have seen their lifes work through firts 25 years of this centiry as connected to expoentail advanbces around jen sen huang nvidia 

 when jensen huang heard in 2009 that demis hassabis saw pattern games as hoiw to train computers to code eg 250 million human proteins or indeed most of maths chalenges of einstein's 1905 publication e= mssquared; in 2009 the huang family donated about 25 million dolars to stanfird engineering quad tpo start up deep learnin ai lab; at the time fei-fei li had just been headhunted by stanfird to host annual competion of imagenet - her goal of tarining machines to use all 5 human senses; in 2012 alexned designed around latest nvidia chip broke through on imagenet challenge- almost every vc started racing to be connected to ai- its this stream whjich we might call mediating ai 
in 2015 msuk adn hunag had become world leaders in self-driving platform apps; this was a win-win for musk's pioneering of Electric vehicles (Tesla) and Jensen's belief thaty self-driving cars would be just the first market to scale autonomosu humanoids - in strrets of any supercity future as well as semi-autonomouslyb accelerating smart factiry design and digital twinning; in 2025 nvidia designed supercomputers are 25 times more energy effocient than others ; musk has one around which he hsot platform sunch as; taiwan is building one to help twin huangs fav platfpoorms such as
3 Hassabis.NB health and biotech ai have dompletely different maths origins from chats depending on pattern games and ultimately returning to the codes einstein first published 19-5 e=mcsqyared but which were largely ignored for over a century until Hassabsi inteligence jointly inspired jensen huang 2009 (makingpixels health ai and  one of 3 ai branches nvidia bet the company of - natures pattern mocdels ; autonomocs mobile models with dself-drive cars ebing the proof cae; machine coding of all 5 human senses which ultlimately ends need to program 0,1 - coding democracy for every milennials is possible provided everything teens are taught and lar tranformed.

When imagenet 2012 proved machines would soon learn to mediste in all 5 human senses; gogloe ws first to bid for hassabis whose deep mind reserach remains located in london along side eg crick institute's origin of dna codes and other royal soeciety and cambridge foundational contributions to humanity 
5 Yann Lecun.- the cademic that has seen every up and down in use of neural networka lgorithms when he helped to rediscover them 35 years after neumann and turing had assumed they would be foudastional

in early 90s lecuns work at bell labs gave the world ai of postal zipcodes and banking cheques
another 30 yeas go by before 201 the combo of nn network algorithm , late4st nvidia chip and alex by hinton students ilya and alex leaps ahead in imagenet showing machineo can learn computer vision
suddenly everyone chases ai researchers; meta's zuckenberg contacts yann who syas fine I will help lead ai at meta but only  if i can stay at courant maths institute- thence lecun has become main connector west and east coast across atlantic to france and now with frances ai models llama and mistral becomin popular at the edge in india - lecun is well placed to celebrate open ai - commonewealth and milennials best applications- arguably the most truted guru in ai because its his responsibility to help world of std8uents and mathematicians advance intelligence; cherry on to one of lecun 2 min funders at nyu is tandon engineering school focuss on women engineers and sponsored by american from India Chandrika Tandon and her sponsorship of brooklyn, shabghai and abu dhabi student collabs
1 King Charles
As prince Charles was first royal tpo understand neuman' 10*818 chalenge-as teen  represneting UK at Tokyo Olympics- he ws first to reconcile 2 royal families and vision of restiring hunman development across Asian Coastlines their 2 empires had controlled trade round; Charkes invited sony akio morita to be japans forst inward investir in a eyropena country-fisrt 15 years of moores law from 1965 found primararily Asian microelectronic clients - with win-win sme supply chains Jpan Korea Taiwan HK Singapore - see Economist surveys 1962-1977 and occasional speech scriptwriting for Charles visits to japan; the ai world series launched by Charles 2023 Bletchley- Turing has connectd bot families dedication to comonwealth development since world war 2 and seizing tech expoenetials avdnasces for humanity - charles videos; countries directly influenced by King Charles Ai since 2023 Japan UAE/Qatar Canada Italy Korea France India. Charles in lnlord of acmbridge busienss park and royal societies and BBC have linked emergence of borh Hassabis Deep Mind and ARM - currently stanford data soverignty ai vibrancy ranings out UK 3rd after continemts of USA and China. The Kings English large language mapping models have so far kep engish in top 4 codes along with maths, mother tongue and your choice of greatb pictorial languages such as japanese or Daispora Chinese.LOndon's June AI 2025 summit follows dc's SCPS.ai with this selction og 10 speakers uniting uk corporates world visoons and jensens? 
A Chrissie Kemp, Data & AI Officer, Jaguar Land Rover:Role: Leads AI for automotive innovation (e.g., self-driving cars, manufacturing) at a UK icon.

B Lord Chris Holmes of Richmond
:Role: UK House of Lords, advocates AI ethics, accessibility, and inclusion (e.g., disability tech) 

C  Jensen Huang, President & CEO, NVIDIA:
Role: Leads NVIDIA, a $3T AI giant, powering supercomputers, robotics, biotech (e.g., Clara,). Embassies: Japan (Fugaku supercomputer), UAE (AI hubs) partner with NVIDIA.
D Neil Lawrence, Professor of Machine Learning, University of Cambridge :Role: DeepMind? Hassabis Chair, researches ethical AI, data trusts, and ML systems

E Ritika Gunnar, IBM Data & AI:

F Akanksha Arora, Global Gen AI, Vodafone:

G Cindy Hoots, AstraZeneca AI

H Andi McAleer, Head of Data & AI, Gov. Financial Times:

I Andy McMahon, Principal AI, Barclays:
J Ritash Srivastava, AI Officer, Jindal Steel:
picture 3 main ai leaps picture expoenetial timelines of 10**18 more
.4  Elon Musk has intelliugence leading sextirs in space, satellite coms ie sralink, many compond=nts of electric vehicle value chain with platform code shared with nvidia -2015 was the clearesr=st yera of independence of musk and nvidia - see gtu 2015 fireside chat of jensen and mus; note it was musk who was first cliento huangs biggest chip in 2015; this becamse the weird story of openai greedily diluting aim musk had founded and so musk's comeback in media X and grok and becomeing one of firsyt2 supercomputer clients of Nvidia. If musk is applying 25 times more energy effivient computing to his key sectirs, Grok says Taiwans 8 companies building 2nd 25 times more efficient supercomputer wilx likely join jensen haung in deepesning tehs platforms milennails most need;

Grok : Hey Teens! NVIDIA’s like a superhero building AI brains for 2035! With a $3T value, they make chips that power robot cars, VR games, life-saving drugs, and virtual factories. Here’s the scoop:

  • What They Do: NVIDIA’s chips (like H100) use Core Maths (think algebra for AI) to make tech smart. They’re building Taiwan’s supercomputer and work with 50+ big companies (e.g., Google, Disney) and 100+ engineers.
  • Cool Platforms:
    • Clara: Helps doctors with AI, like finding new medicines (with Recursion,).
    • Omniverse: Creates digital twins, like virtual hospitals or Pixar movies ().
    • Drive: Makes self-driving cars see roads (with LiDAR,).
    • Newton: Builds robots that touch and move (with DeepMind, 2025,).
    • Human Senses AI: Powers chatbots and vision, started by ImageNet (2012,).
    • Business AI: Helps stores run better (with Salesforce,).
    • Earth AI: Maps climate and grids ().
    • Inception: Supports 2,000+ startups for new AI ().
  • Photonics Magic: Light-powered chips and sensors (from CIOE 2025,) make AI faster, like lightning for Grok 3!
  • Why It’s Awesome: NVIDIA’s AI could solve hunger (e.g., bambara crops,) or climate change, but trust and access are key.
  • Get Involved: Learn Python (like CWI’s tools, [Web:17]) to code AI and join the 2035 party!
For Teachers: Use NVIDIA’s platforms to teach Core Maths in biology, CS, and physics. Discuss diplomacy (e.g., China-Africa AI,) and ethics (e.g., access gaps)
^ Drew Endy
NVIDIA’s Intelligence Reach: Explained for 15-Year-Olds and Teachers NVIDIA is a tech giant worth $3 trillion (like 3 million million dollars!), making AI (artificial intelligence) power everything from video games to robot cars and life-saving medicines. Imagine NVIDIA as a super-smart toolbox using Core Maths (like algebra and statistics) to build AI brains for the 2035 world. Here’s what 15-year-olds and teachers should know, with a fun, iterative list of NVIDIA’s platforms and how they connect to AI, digital twinning, photonics, and more. 1. What Makes NVIDIA So Big? Who They Are: NVIDIA, led by Jensen Huang, makes chips (like H100 GPUs) that are the brains of AI, games, and robots. They’re building Taiwan’s supercomputer with 8 partners (e.g., TSMC,) to run mega-AI for science and business. Global Reach: NVIDIA works with 50+ big companies (e.g., Google, Disney) and 100+ engineers who’ve been with Jensen since the 2000s, creating AI platforms worldwide. Why It’s Cool: Their chips make your phone, VR headset, or self-driving car smarter, faster, and greener! Core Maths: Linear algebra (for neural networks) and statistics (for data analysis) power NVIDIA’s AI chips.

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