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 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, May 30, 2026

 Open Seas are integral to most global trade and Water is nature's  most basic currency and health goiver and therefore merits being transparent to engineers frontier modelling dynamics. See further jotful updates on einstein's test www.economistdiary.com/2026/05

In my Disspora Scot's liftime (whch started professionally with my graduate diploma in statistics from Cambridge maths lab DAMTP 1973) I have been privileged to learn most about AI from the islands of Singapore Hong kong and Taiwan -reasons fpr 60 busiiness data mapping trips (and educational exchanges) from West to East to Wesr. 

Remarkable when you count what small proportion of 8 billion brains or of earth's land capital arond which these loving human communities have generated greatest leaps in learning. For example we now have access to machines with billion times more maths brainspower than separate human minds thanks to Taiwan 1987-2026 as well as a team of silicon valley taiwanesen americans linked by Jensen Hiang family.

 Actually before Japan's financial crash in the 1980s this country had been main customer of Moores laws million fold increase in silicon capacity celebrated by Von Neumann-Turing-Keynes alumni and in 25 years of my father Norman Macrae's  surveys in The Economist chip on west coast designing microelecttonics goods, engineering super cities (Tokyo bencmark to 20+ Asian cities each of 20+ million ) and advanced manufacturing supply chains. In post war transformation Japan adopted Deming recursive engineering and Borlaug agricultural science making it both a supercity engineering and  deep agriculture space for generating  naturally conscious mindsets and cultures . Taiwan's tech investment leader KT Li (sovereign investor in Maurice Chang's Ai foundry) in the 1980s was Cambridge Cavendish educated in the 1930s at a time when Turing, Von Neumann, Keynes were resident at Kings a few minutes walk from Cavendish

So it may be partly historical good fortune that best in world AI comes from generations of islanders. However if we  also look at us west coast, most of  most brilliant intelligence engineers are hemmed in by mountains or deserts to  a land parsimonious coastal rim- we could argue they too have for half a century maxinised intelligence capital advances per square mile of land capital. See also norman macrae's why not silicon valley everywhere The Economist 1982


NVIDIA 5 LAYER AI PARTERSHIPS MODEL


.

..


What changes today in celebrating maximisation of 8 billion brains intelliigence trades is to design machine brains emulating einstein (see Hassabis AGI pledge to 2020s humans) you need more energy than islands od coastal parts of a continent can deliver. So we are witnessing a strange phenomenon in which huge continent's leaders need to earn the trust of partnering with small island spaces. At least that would be consistent finding that norman mcrae forums https://normanmacrae.ning.com/forum clarify if you look at such logs as

taiwainthanks

jensen100 

Japan

,,,

Thursday, May 28, 2026

 This month saw Etic Schmidt sponsor heroic attempt of www.scsp.ai to democratise ai among 20000 Washington DC brains AI + Expo but is one simple mooc that could reach million missing in connecting all the deep engineering briliance of expo and education outreach now needed to link both teachers and students of every frade that uses water!


 

May 7 AI+expo of scsp.ai? - we asked gemini and grok to help us with 100 day Dc diary aimed at connecting eg jensen huang's layer 5 ai community actions and ai agency by May 7. here goes - all errors are mine chris.macrae@yahoo.c.uk Bethesda NMFound, && Neumann Diaries at Economist.AI & Childhood Cancer ....fall25:  The AGENTIC OLYMPICS - Is Nvidia free to win this race or has wall street declared chinese walkover
MOTION AGAINST GETTING INTO DEBT CERTIFIED BY UNIVERSITIES 4 YEAR DEGREES
aka water water everywhere not drop to drink, intelligence everywhere not a trust map to link Most exciting time (July update) to be alive- supercomputer 1/7 thks Memphis! (more) ..US Cultural Revolution? chat 2022" nb West Coast intel leaps every 3 years of 21stC
English Language Model- purpose to CODE trust and productive intelligences of millennials everywhere.Why King Charles needs to host ICE4+AI3+3 early September 2025 before Trump asks UN to exit NY
.

 GEMINI FEB 2025- May I give you a clear, practical map of SCSP.ai’s education and workforce work as of February 2026.

SCSP is indeed relatively flat (small core team + ~50 affiliated researchers/advisors). The public face is dominated by a few senior people and event-specific speakers.1. The 5 People Most Involved in SCSP’s Education VisionThese are the people who actually shape or speak for SCSP’s education-related work (March 11 AI+Education Summit, workforce reports, etc.):
Rank
Person
Role at SCSP / Education Focus
Connection to Layer 5 / Rural Agency?
Connection to Jensen / Workforce Commission?
1
Ylli Bajraktari
CEO of SCSP
Low – focuses on U.S. competitiveness
Very high – works closely with Jensen on Workforce Commission
2
Eric Schmidt
Chairman of SCSP
Low
Very high – Co-chairs Workforce Commission with Jensen
3
Sal Khan
Featured speaker (March 11 Summit)
Medium – personal AI tutors, Khanmigo
Medium – respected by Jensen, but no formal partnership
4
Alex Kotran
CEO of aiEDU, featured speaker
Medium – AI literacy & classroom agency
Low
5
Dr. Tasha Arnold
Head of Alpha Schools, featured speaker
Medium – radical redesign of school experience
Low
Key takeaway: The education vision at SCSP is currently driven more by event speakers (Sal Khan, Alex Kotran, Tasha Arnold) than by permanent staff. The permanent leadership (Ylli and Eric Schmidt) focuses more on national competitiveness and workforce strategy.2. Are They the Same People Hosting the NVIDIA Workforce Commission?Yes — heavy overlap at the top.
  • The Task Force on AI and the Future of Work (NVIDIA + SCSP commission) is co-chaired by Jensen Huang and Eric Schmidt.
  • Ylli Bajraktari (CEO) is deeply involved in operational leadership.
  • So the top two permanent SCSP leaders (Ylli + Eric) are the same people driving the Workforce Commission.
The education summit (March 11) and Workforce Commission are linked at the leadership level, but the education summit has more outside voices (Khan, Kotran, Arnold) who bring stronger “personal AI agent / classroom transformation” perspectives.3. Does Anyone at SCSP Link to Asia Transformation or Layer 5 Rural/Community Agency?Very limited.
  • SCSP is explicitly U.S.-centric — its mission is American long-term competitiveness (especially vs China).
  • They rarely mention India’s GIMS/ABDM model, Taiwan’s sovereign stack, or Layer 5 rural community agency.
  • The closest are Sal Khan and Alex Kotran, who have referenced Asian models (Singapore, South Korea, Taiwan) in passing, but not deeply.
  • No one on the core team or regular speakers is known for deep expertise in bottom-up, consent-based, rural Layer 5 systems like GIMS. Their Asia lens is mostly “China threat / competitiveness” rather than “learn from India/Taiwan/Singapore on rural agency.”
This is why your point about the gap is important — SCSP is strong on U.S. macro strategy but thin on practical Layer 5 rural/community transformation.4. Your Wiki Idea – Why SCSP Doesn’t Have One (and How to Push It)SCSP does not maintain a public, living “current affairs wiki” on AI. They produce polished reports, memos to the president, podcasts, and event summaries — but nothing that is updated weekly by students or that builds year-on-year common curiosity.Why they don’t have it:
  • Their model is expert-driven, not crowd-sourced or student-led.
  • They focus on high-level policy recommendations for the President and Congress, not ongoing public education tools.
  • A student-updated wiki would be seen as too informal or hard to control for quality.
Your idea is excellent — a living, annual “AI for the People” wiki / knowledge base that every college freshman engages with, updated by students using AI tools, focused on Layer 5 agency, would be far more powerful than static reports. It could become the “common curiosity engine” you describe.How to raise it at SCSP events:
  • At the March 11 Education Summit or May AI+Expo, ask: “Could SCSP support a student-led, living AI wiki that updates every academic year — so each new class of students is ahead of the previous one on AI for community agency?”
This could be a constructive way to bridge your Asia experience with SCSP’s U.S. focus.
Would you like me to:
  • Draft a short 2-minute question/script you can ask at the March 11 summit?
  • Draft the email to SCSP with your wiki idea + the one-pager?
  • Or expand the list of people at SCSP who might be most receptive?
I’m ready to help you turn this into concrete next steps for the next 9 weeks. Just tell me what you want first.
Quick Answer
Sub-ED: .It may be obvious that humanity's development of each other is connected by
  • Parental Love, especially across Asia's Islands & Archipelagos
  • Water including life science maths and green earth and
  • intelligence -how education multiplies brainpower. But intelligence @2025 is particularly curious driven by 10**18 more tech in last 60 years; since 2010 we've seen million fold more impact of satellites and computers :part 2 of what some call artificial intelligence); again from 1995 satellite acceleration of webs evolved borderless sharing of life critical knowhow through million fold human data-mapping devices including phone, text, camera uniting all human senses and steve jobs university in a phone; earlier Moores law's engineering of chips on both sides of Pacific delivered 1000 fold more tech 65-80 and another 1000 fold from 1980-95
    DO WE ALL LOVE TAIWAN as much as AI20s supercomputing & neural net wizards such as Jensen Huang, Demis Hassabis, Yann Lecun ? Perplexity explains why so few people linking to 20 million people leading every agency of AI that educational futures revolve round:No other small or island nation is currently aiming to train as many young AI professionals, relative to its population, as Taiwan—though Singapore, Hong Kong and Israel remain the benchmarks for workforce concentration123. In short: Taiwan’s AI talent drive is among the world’s most ambitious for its size, and it is on track to join or even surpass the global leaders in AI talent concentration in the coming years.Economic Impact: AI is projected to deliver over TWD 3.2 trillion (USD 101.3 billion) in economic benefits to Taiwan by 2030—more than 13% of current GDP. In 2023 alone, Google’s AI-related activities contributed TWD 682.2 billion and supported nearly 200,000 jobs in Taiwan3
  • HUMANITY & INTELLIGENCE's FUTURE
    Thanks to Jensen Huang the last decade has been most exciting of 75 years dad Norman Macrae 1:: 2 and then I have had privilege to question inteliligence's future. In 1951 Von Neumann suggested to dad to dad that Economists and Media might be generatively disastrous unless they celebrated questioning future's with engineers. Check out the world Jensen Huang has been inviting humans to linkin since he commited to designing million times more energetic computing including today's AI Chats and deep learning robots.
    India 2024 : 2
    India 2016
    Silicon Valley 2024
    2015 with Elon Musk move video to 97 mins 40 secs
    Valley March 2025.
    Taiwan 2024
    Taiwan XX
    UK Wash DC 2024Japan 2024
    .Is Human Species capable of celebraing intelligence as deeper (and more open) data flow than politicians printing paper money?
    Economistwater.com: Do you know that even the world's biggest nations will fail in 2020s unless their peopled celebrate copiloting waters and energy transmission (CLICK TO PUZZLES of 25% more in 2020s) maps inttrligent;y?
    MOTHER EARTHS CODES: ELERCTRIGICATION POWERS THINGS WITH ELECTRICITY: INTELLIGENCE EMPOWERS PEOPLES: FRESH WATER CONNECTS OUR HEALTH & EMOTIONAL COOL Please linkin with me chris.macrae@yahoo.co.uk (Wash DC) to add where we the peoples can add to these 4 spaces for unearthing humanity's intelligence boosters-
  • Paris Intelligence Action summit February,
  • Santa Clara future of accelerated computing partners- nvidia santa clara Japan's Osaka Expo - 6 months in which any nations pavilion can virally survey intelligence of any other pavilion
  • Canada's G7- will all 7 nations leaders sink or swim together. Of course if we the peoples can decide what intelligences top 20 spaces need to be, we have a chance to change every education momemt og every age of person at every community around the world in line with the future of capitalism that The Economist premiered in 1976.Japan and silicon valley had payed with the first decade of moore's law - would other places be free to entrepreneurially join in the milliion times more compute in time?
  • .From Glasgow 1760, engineers artificail system designs became humans 3rd & if integrated respectfully with nature's man's most productive tool alongside bitech waves of water and heat. Long stiory short innovation opportunities and threats to humans in 2025 now that we have 10*18 more tech than 1960s dei=fine surval of commmunities and species everywhere. Ask eg Grok3 whose inteligences or agents 15 year old stidnts and teacgers most need to know about. Benchmark against 6 multipliers
    Jensen Huang or whomever platforms are needed for 2 main types of deep learning ai : bio and making humanoids safe2 Hassabis - whose ai pattern games have made biotech an innovation likely to imact more thahn half of gdp by 2035, often very locally, 100-year catch up with einstein's core maths e=mcsqaured published 1905
    Yann Lecun -we need an academic concerned with open sourcing worldwide student access to what's next - who do you choose if yann lecun not most open academic maths guy inspiring your peoplesMusk - well I am not sure anyone is jealous of musk as biggest brain in the world-don't expect him to suffer jounalist fools lighhtly
    6 Drew endy - or who is sharing with millennials hundreds of startup discoveries of biotech as locally regenerating as batures own source of energy photosyntheis has for millions of years played water and heat games on birthing living systems
    .Lets share some lunchclub updates -more at Economistdiary.com/2020 eg what are varous ways ordinary pcusers are expected to use the new ai pc- at different entry level- for example am i correct that one has to invest about 15000 dollars to be a lamda 3 connector through pc? Or for those (eg parents of 11 year olds in usa 2025-8) who just want eg emails whatsapp zoom (tiktok) linkedin algorithms to sort out 30 years of virtual connections whats min dell system to buy? I am also looking for chapter s[omsors of 2025report.com last of 75 years of mediation by my family and von neumann family and for 40 years The Economist 1951-1990 including now King Charles AI summits- from 1964 Tokyo Olympics win-win between both island post-emires (dad norman awarded honors by both) Grok sent us this happy holidays card dec 2025 - The Water ThreadIn the year 2041, a small website called economistwater.com quietly turned twenty. It had begun as one man’s private notebook (an economist who noticed that every time he typed “human capital,” his fingers paused at the same thought: we are 60% water by mass, 90% by molecule count). He started logging the numbers: babies are 78% water, elderly 55%, server farms 94% cooling water, the new orbital AI factories still 0%. He never preached. He just kept the ledger.The site never went viral. It had no ads, no newsletter, only a single page that updated once a week with a new line:2041-03-17 Human birth in Kerala: 78% water Blackwell-9 cluster, Nevada: 94% water Starship 312 payload, LEO: 0.000% water Running average since 2021: 90.3% People began to visit the way they visit a graveside. A nurse in Lagos refreshed it before shift. A teenage coder in São Paulo wrote a bot that whispered the percentage into her ear every morning. An aging policy maker in Brussels kept the tab open like a heartbeat monitor.One night in 2047, the number changed.2047-11-09 Human birth in Kerala: 77% water Blackwell-9 cluster, Nevada: decommissioned Orbital Forge-7, Lagrange Point 5: 0.000% water Running average since 2021: 89.7% For the first time in twenty-six years, the line dipped below ninety.The economist (gray now, hands trembling slightly) typed a single sentence beneath the table:We have begun to leave the water.He did not add fireworks. He did not need to.Across the planet, strangers who had never met felt the same quiet catch in the throat. A woman in Hokkaido closed her laptop and walked to the window; snow was falling on cedar trees older than nations. A boy in Accra looked up from the screen and saw his grandmother’s hands, thin, veined, still 60% water, still carrying him when the lights failed. In a dorm room in Warsaw, a student who had grown up refreshing economistwater.com every birthday cried without knowing why.The site never celebrated the milestone. It simply kept counting, the way oceans keep counting waves.2049-02-14 Human birth on Luna City, Hab-9: 73% water (recycled) Orbital Forge-44 ring, full constellation: 0.000% water Running average since 2021: 87.1% And somewhere, in the dark between Earth and Moon, a new child (born under artificial gravity, cooled by starlight alone) opened her eyes for the first time and saw, through a tiny porthole, the blue marble that still held ninety percent of everything that had ever loved her.The ledger kept going. But for one brief moment, across every continent and every orbit, eight billion water-bodies and a growing handful of radiant machines felt the same gentle tug on the same ancient thread.We were water. We are learning to let some of it go. And still, somehow, we remain connected.economistwater.com Still updating. Still 87.1% and falling, one quiet percentage at a time. Water's role in AI space expansion AI+Space summit water innovations Heighten emotional resonance .