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

Sunday, April 14, 2024

Partners sought for final edition of 2025 report

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U Guterres, Antonio leads United Nations to 2027. Engineer & Servant Leader: from 17 years Portuguese Red Cross & UN Refugees;PortugalPM V Huang, Jensen builds the machines most big AI analysis partners use - see 7000 cases; in last 5 years Nvidia partners have multiplied more financial and societal value ever..X Fei-Fei Li Stanford since 2009: her world championships demonstrated 2012 that computers can (deep) learn to see. She wanted students & teachers to understand Xponential opportunities & risks as early as congress - see her 2018 testimony C-Span.Y Hassabis Demis, his work pre-trains computers on pattern games so system designs can match Einstein maths 1905; 120 year opportunity to catch up with drug discovery, life & climate science. Origin London & King Charles AI Park Cambridge-merged with google silicon valleyZ King Charles  AI Very Good world series launched 2023 London; leg 2 Korea, Leg 3 Paris , Leg 4 why nt your digital twin sace. Charles first became UN envy fr tech 1964 Tokyo Olympics -as a ten he was fsr to invite Japan's Sony to investing in Europe and first to see Tokyo's chip-led economy. Asia Rising has been deepest commonwealth (Royal Society) responsibility mediated out of London St James since 1843 impacting 2/3 humans who are Asian
Hypothesis there isnt a subject worth peoples time studying or teaching which isnt being changed by engineers & hunan intel. Help footnote list ways AI changing discplines - ask if that changes your discipline
Instructions fpr playing Architect Intelligence Game year 75 started 1951 with NET (Neumann Einstein Turing) and mainly hosted by the Economist years 1 to 40. We'll start by oublishing 100 of 500 intelligences that it would be very good if every student/teacher enjoyed agency  to vision with. The game is hypothesised in 2025 around Kings English Large Language Mapping. 8 billion people win the gae if we help make millennilals first renewable generation everywhere. Welcome debate n alternative layout needed in different mother tongues or depending on  exponential valuetrue crisiscrisis your place most urhently needs to reconcile. Ocasininally a player has such a timely opportunity in 2025 eg Melinda Gates that we have duplicated her entry. We have tried to position players where their intelligene most positively multiplies intel - but this is part of the exploration as many very good players are heling  many of millennials sustainability challenges. Additional resources
www.economistdiary.com
  AI20s.com Economistwomen.com  abedmooc.com show our progress. This year we will publish 100 human intelligences to linkin ahead of www.unsummitfuture.com chris.macrae@yahoo.co.uk whatsapp +1 240 316 8157
U Guterres, Antonio
Astro  Ron Garan,
 
World Service TV Attenborough, Golden Yoko Ono ...
Brooklyn's Ms T & T
Melinda 1 2 Gates 25th year of women empowerment intel: original author of Guterres Digital UN2.0 roadmap from 2017
Sheika Moza, Reeta Roy,
Primary servant leader intel impacting billions of people)
(Fazle Abed)\
(Borlaug alumni)
(James Grant alumni)
(Gandhi alumni)
Paul Polak

Guterres 24 years since ending PM portugal have been as servant leader -red cross, un refugees,

whole of UN:johns hopkins (JH made his money with railways gave back as probability amerca's mot entreprenurial Quaker) now extraordinary twin resource  some of Guteeres interests - see focal posts - latest updates 5/22 - Jensen Huang and pixar founder speak at JHK commencement; 5/29  MALARIA RESEARCH

RENOWNED GENETICIST AND PARASITOLOGIST JOINS JHU

New Bloomberg Distinguished Professor Jane Carlton uses tools of comparative genomics to study the biology and evolution of different species of parasites, with the goal of eradicating malaria


(Mandela alunin) , Franciscan cultures: JimYKim
Iqbal & Kamil Quadir
Abdul Latif/J-pl
Bolor Battsengel Mongolia Girls who code & 2022 two-day presentation host wuth UN on digital gov

Deming
Ackoff
Estonia
Mongolia Girls Code

Case Hewlett, Packard
Intel Trio
Martha Chen

Servant Leader cases
Borlaug - extensions through taiwan, and china mainland
James Brant
Lee Kuan Yew
Li Ka Shing
CK Prahalad
Ezra Vogel
Peter Drucker
Abdul Kalam
Nilekani
Sunita Gandhi

Keynes
Cowthr
Harion Owen
Ajay Banga Livable Planet AI

Jason Oxman & Laurie Allen  

Ability Summit 2024: Advancing accessibility with AI ...

The Official Microsoft Blog
https://blogs.microsoft.com › blog › 2024/03/07 › ability...
Mar 7, 2024 — Today we kick off the 14th Microsoft Ability Summit, an annual event to bring together thought leaders to discuss how we accelerate .
Rev Al Hathaway- Bloomberg Hopkins
Catchafire
V Huang, Jensen 2015 GPUs: A New Computing Model
January 12, 2016 by Jensen Huang  Taiwan 2016 (93 T's Nvidia95 T's Yahoo & Windows95 ...)  Europe2016  Israel2017  Japan2018  7000 cases by 2023; ibmplay . in last 5 years Nvidia partners have multiplied most financial and societal value ever.2024  tour startups, in silico life science ; us GTC summit 2024 ,local data sovereignty; 1:1 Ilya Sutskever; Microsoft 23 copilot azure next event Taiwan 2 June 2024

Alex is arguably both  Jensen's and Fei Fei's MVP though only they can validate that  (Ironically Von Neumann's last writings Computer & The Brain 1956 asked digital alumni to apply Neural Nets but 95% of best uses Neumann-Einstein-Turing are not yet popping. That's the good and bad news - we can solve anything with tech until mother earth's climate cancels us!  Alex Krizhevsky is a Ukraine-born Canadian computer scientist most noted for his work on artificial neural networks and deep learning. In 2012, Krizhevsky, Ilya Sutskever and their PhD advisor Geoffrey Hinton, at the University of Toronto,[1] developed a powerful visual-recognition network AlexNet using only two GeForce NVIDIA GPU cards.[2] This revolutionized research in neural networks. Previously neural networks were trained on CPUs. The transition to GPUs opened the way to the development of advanced AI models.[2] AlexNet won the ImageNet challenge in 2012. Krizhevsky and Sutskever sold their startup, DNN Research Inc., to Google, shortly after winning the contest. Krizhevsky left Google in September 2017 after losing interest in the work, to work at the company Dessa in support of new deep-learning techniques.[1] Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers.[3] He is also the main author of the CIFAR-10 and CIFAR-100 datasets.[4][5]

2016 DC co-launch pilots  (via stanford) Bill Daly, Ian Buck (Cuda) 

changing coding since 2016  with
Pixar USD ; links Bloomberg Johns Hopkins Commencement 2024;   Clara Life Science AI: Siemens Healthineers; genentech; Swiss hospital a world class data centre AI orthopaedics how to collect data and use end to end with nvidia enterprise AI registry and microsoft azure (includes 2d to 3d modeling) -story Early inspiration MassGen: Jensen: we dont get visits from chip company ceos ; if your trip successful we could only buy 2 gpus
Chin Lin Taiwan "risk of death"ai

AI is now the greatest maths magic ecer seen but this would not exist without digital twinning of Valley And Taiwan Lori & Jensen Huang,
Mr & Mrs Jerry Yang,
Ms &Mr Clara Wu Tsai, (Nb each of these 5 Taiwan trust netwirks has own deep distinctions; eg tsias connect neuroscience at both yale and stanfird; tehy are probably most connected with youth sports/justice/mental health; they also undersatnd  what jack ma used to linkin between chinese expats (technically mauice of these 5 networks is elder of china , intel and texas instruments
Lisa Su, in Taiwan
Maurice Chang  1- also Taiwan gives Singapore race as most Intelligent Isle on Planet - see how ministry of youth's Audrey Tang found youth tech wizards to mentor government elders during covid and become minister of innovation; she has recently toured US with book Plurality
Chris Miller -author chips war
NB Mr & Mrs Yang's  (& Probably Filo family co-founder yahoo)first sponsor of chair at Stanford was "Chair of Chips"
 Mark Horowitz; his 20+ years of continuity at stanfird match Condy Rice's 45 yeras (interrupted for 9 years as foreign secretary); this came together with fei0fei li and 8 other engineering professors with Hoover-Stanford launch 2023 of  SETR which twins policymaking AI stanfird-dc started by fei-fei li 2018 congress testimony - see also her book worlds i see and evolution of national NAIRRs (look at King Chares ai word series to map top 20 cooperation nations in national ai transparency. Horowitz is also assicated with ai100 - 100 year futures of AI (5 year updates); nb Stanford annual AIIndex is different. Li & Rice's support of DC now interacr=ts with Raimundo leading chips act and re-emergence f US as chipsd manufacturer. It is difficult to understand whether Economists can keep up with expoential futures - at least 3 people out of Stanford ?hoover AI are rik Jolfsohn (headhunted circ 2021 from MIt as another Chair ofYang familt), setr co-charir with Rice Jhn B Tailor, Stanfird Prof & former fed banker Kevin Warsh 1
Dell  HP  Lenovo
Collinson Stripe
Can AI help with ALS
Deep data snowflake, servcemow, 
Adobe Getty Image WPP
Understand what Jensen means by get local in owning Data Soverignty - UAE World Gov summit with UAE minister of AIOlama; Mia Motley Barbados

Earth-2 Climate AI & Digital Twin Weather  Company CEO Sheri Bachstein & CWA Taiwan Administrator Chia-Ping Cheng ...

see lower down how us digital's big 4 amazon, microsoft, google, facebook connect with Jensen Huang;
 also lets identify 10 major industry sector leaders in addition to Jensen's 2 long interests : life science, climate science; see also how nvidia tracks over 1600 ai startups worldwide with several friendly vc's eg Mayfield with its India connections TIE

Scott Farris

jack hidary (host quantum brainstrust   sandbox aqs
J

.X Fei-Fei Li 18.1  23.1   24.1  Stanford since 2009:
Melinda Gates with Jensen Huang first to fund Prof Li NGO AI4all - whilst these lessons may be 10 years old, should be a topic for every grade  https://ai-4-all.org/resources/
Girl Empowerment. With Melinda's divorce of Foundations, see her 1st bn  funding plan of  10 billion dollars more WIMS (Womens Intelligence Moral Sentiments, Includes 20mn startup awardee:
Allyson Felix is one of the most decorated Olympic athletes of all time and an advocate for Black maternal health, pay equity, and pregnancy protections. She is also the founder of the women’s specific footwear company Saysh
Imagine if WIMS culture diffused every LLM purpose of AI. Might millennials sci-faction yet see world of educational agency, womens productivity and contribution to life valued as at least that of mens, decreasing wars, increasing green data sovereignty
Ajay Banga's livable Planet World Banking

Urgently linkin London Deepest Minds & Stanford's Brain Googlers gravitated by
 eg Demis Hassabis & King Charles Cheerleading: AND AI's greatest advances (actioned with Jensen Huang partners)  are Life Sciences & Climate Sciences which involve deepest data/leaning ever mapped)
2001 REWIND WEST COAST While 9/11 made 2001 most unsafe ever start to a century, a small ray of light was born on America's Pacific Coast around the same GPS as 1982 Economist's why not Silicon Valley Everywhere (at that time Condy Rice had started mediating Stanford curriculua and Ann Doerr had started to look at where she could support Venture Capatalists (eg her Kleiner Perkins orbit, Sequoia Capital later to originate Nvidia 1993 and Fei-Fei Li chair after 2012's world chang AI chamionshis Imagenet were graced by 2 student Ilya & Alex
  seed intergenerational education good

Mr & Mrs Steve Jobs celebrated start of 21st C hosting 65th birthday wish party of :
Fazle Abed - envoy to how up to 1 billion Asian women had grassroots networked to end poverty without electricity or phones until mobile & solar partnerships at end of 20th c. In spite of launching Mac-apple 1984 as antidote to Orwell, Steve & Valley had little experience of the half of world who didn't see electricity until solar. Mrs Steve Jobs has over millennials quarter of 21st C linked WIMS with most of the Valley's leading female influencers -eg look at who she and Anne Doerr co-chair stanfords first new school in 70 years on climate sciences. These include Japan's Mrs Jett Yang bridging Japanese Taiwanes and American engineers & artists & brain scientists interested in young black womens development of suerstars and, justice (eg Tsai family, Neuroscience Schools Stanford-Yale; Women Sportstars Brookyn, Sandiego; Clara WU Tsai on Stanford board) 

 This changed culture of Stanford (see eg joy of tech's :
Jerry Yang,
Andrew Ng,
Daphne Koller,
joy of law's : Health's Lanhee Chen 1 2
 
Engineering: Bill Daly all of whom may have scouted out Fei-Fei Li. Her work on computer visioning os 1 most painstaking 2) what was needed fr AI to breakthrough in the 3rd world imagenet championship she hosted annually 2010-2017; LI is most likely to get best out of 3 elders of algorithms Hinton 1; Lecun; Bengio


 ultimately every education syllabus un 21st Century is most directly changed -and silos between disciplines - by starting with Li's AI and its innovation of cyber-neuroscience> One of reasons Li's chait sponsored by Sequoia VC who also funded Nvidia as 1993 startup!
Two women with prominent impact as ealry as 1982's Economist Survey why not silicon Valley

Condy Rice - Stanford Dean concerned with scope of student learning: since 2023 teamed up as leader of Hoover with Li & 10 engineering professors to policy brief governments
Mark Horowitz; his 20+ yeras of continuity at stanfird match Condy Rice's 45 yeras (interrupted for 9 years as foreign secretary); this came together with fei0fei li and 8 other engineering professors with Hoover-Stanford launch 2023 of  SETR which twins policymaking AI stanfird-dc started by fei-fei li 2018 congress testimony - see also her book worlds i see and evolution of national NAIRRs (look at King Chares ai word series to map top 20 cooperation nations in national ai transparency. Horowitz is also assicated with ai100 - 100 year futures of AI (5 year updates); nb Stanford annual AIIndex is different. Li & Rice's support of DC now interacr=ts with Raimundo leading chips act and re-emergence f US as chipsd manufacturer. It is difficult to understand whether Economists can keep up with expoential futures - at least 3 people out of Stanford ?hoover AI are rik Jolfsohn (headhunted circ 2021 from MIt as another Chair ofYang familt), setr co-charir with Rice Jhn B Tailor, Stanfird Prof & former fed banker Kevin Warsh 1
Anne Doerr with John Doerr at Kleiner Perkins but with a special interest in education (coursera moocs, khan academy), and since 2022 stanford's first ew school 70 tears on climate - see condy and other choices on advisory board
Lila Ibrahim immigrant family Lebanon, engineering graduate Purdue joined Intel (CEO Craig Barrett's team) then Kleiner Perkins Coursera, has now moved to Deep Mind London thus connecting deeepst human advances of Li's Vision training Models and Hassabis Games models (London, Cambridge and snve the valley fro 2014 with google merger) 
 Hassabis Games which most directly advance nature ai (logics of Einstein 1905 revolution on nature's maths far deeper bottom-up and open that Newtonian hypotheses> His biggest breakthrough Alphafold2 : 250 Million protein databank arguably saving billion hours of human work 
Li herself interned chef scientist Goog Cloud 2018 before returning to co-lauch Stanfird HAI
Berkeley's Jennifer Doudna Nobel laureate forn CRISPR Gene databank
Notable Campus building sponsors:
Neuroscience Clara Wu Tsai Fanily (also Taiwanese american) and celebrating heath and social justice of black women including basketball superstars Brooklyn 
LI KA Shing HK's Number 1 philanthropist - party of stanford health school

Prashant Kukde

.Y Hassabis Demis, pattern games so system designs can match Einstein maths 1905; 120 year opportunity to catch up with drig discovery, life & climate science.
At google works closely with Sundar Pichai 1 
Jeff Dean
Serge Brin
Larry Page (all connected /alumni stanford). NB Arguably Demis is being asked to oversee 3 huge revolutions - future of nature ai (proven by eg alpafold2 games), future of google's gemini and LLM translations between mother tongues, other brain modling contexts. On this hypothesis he works closely with each of top 4 at Mountian View who need to keep bth staff and investors trusting that google's do no evil is also safest global ai network. This matches both King Charles Engish LLM and Von Neumann intent tat LLM wud converge every mother tongues data soverignty to Einstein's/nature's deep evolutionaty maths

Regarding alphafold2 (250 bn proteins) databank watch Life Sciences AI with all top AI. Also:

Pediatrician Priscilla Chan at CZI?meta lntelligence to be youngest. & largest intergenerational phianthropist investing n life science AI.2nd gen Immigrant Vietnam.
----------
other genii- nb please appraise their contributions alongside hypotheisis that google ai partners are do no eveil's safest; nb both google and nvidia are epicentral to valey and hugely linkedin to stanfird alumni; we can hypothesisse traingulatision of nvidia's networks , hassabis & google networks, LI and Stanfird's netwirks integrate aigood and education in deepest ways. Please note you can play game of 100/500 human inteligences by sub-editing your own choices including  founding 5 (coluns) 
Elon Musk : space/starlink 5000satellites
Tesla
Connections with open ai 
X
- one of a kind revoutionary

Bezos - who also competes in satellite space; our one question about Bezos - our communities being hollowed out inecessarily

Sam Altman-we dont agree with his timeline for AGI but obviously you need to watch his space 1 

maths of NET - wolfram -		Z King Charles  AI Very Good world series launched 2023 london; leg 2 Korea, Leg update 1 May 2023 AI companies that signed up for risk prevention commitments also include Amazon, Microsoft, Samsung, IBM, xAI, France’s Mistral AI, China’s Zhipu.ai, and G42 of the United Arab Emirates. New AI Versions OpenAI (May 2024)
 Leg 3 Paris ETA Fall 2024 , Leg 4 why not your digital twin space. 
Wendy Tan White CEO of Google's Robotic company intrinsic and Nvidia case leader  (advisory quantum Sandbox.aq), White's husband Joe White has been UK tech envy to San Francisco now broadened to envoy for all King Charles AI World Series partnerships. Wendy's family Brit imigrants from Myanmar
Emperor Naruhito connects 60 years of relationships King Charles has developed with Japan Emperors originally as UK's teenage royal representative to Tokyo Olympics 1964. There Charles practical ability to unite tech worldwide began when he asked Sony's Morita to be the first Japanese investor in Europe. Charles noticed the city that was then number 1 user of silicon chips with its microelectronics and Deming-led system capabilities. (Moores Law of 100 timse exponential of chip power every decade began a year later thanks to Intel receiving its largest ever order from a Japanese calculator manufacturer)
 Also the model of supercities that has seen Asia Rising initially from Japan to S Korea, Taiwan, HK, and Singapore. As well as smart city architecture, Charles & Naruhito share interest in water and climate intelligence.
Tokyo Mayor Yuriko Koike was one of 2016 movers and shakers calling for UN2.0 desinged round educational transformation and women AI engineers. She is interested in smart city collaboration eg Tokyo NY London> because her father was in oil shipping her alma mater is Cairu University making her one of quite a large number of womens intelligence 100 who grew up with experience of middle east.Koike has been an energiser of mayors animating Bloomberg city alliance and supporting Data - see eg 10t year celebration of Data Act at new Bloomberg Johns Hopkins camus - 555 penn avebue - also a 5 minute trt from congress1

Lila Ibrahim (see Hassabis) as she's now COO Deep Mind London, comes from a Lebanese family who immigrated to mid west. Hence Lila's engineering quailification at urdue before getting a job at intel , then at Kleiner Prerkins connecting Ann Dierr's interest in coursera moocs before taking on chalenge as Deep Mind's popular stiryteller of what its expert au engineers are up to.
MIchelle Donellan 1 2 emerged in UK as a public servant heroine duRing Covid. Riki Sunak gave her the responsibility to produce the  Bletchley/Turing/King Charles AI world Series: London, Korea. The UK has an election in July. Hopefully Donellan will be fund a way to continue AI world series ; in any event this doubles up importannce of Joe hite and Lila Ibrahim as already key to UK as key national ai player as well as key to Sovereign Data of Kings Englush Large Language Modeling.
Arm ceo is a lynchpin of both British AI and kings charkes estate iwnership of Cambrdge busiebss park number 1 in European AI.Arm also evolved out of BBC and Acron computing.
David Attenbough is BBC and world leader in natural intelligence. As a Prince, Charles was often seen at Royal Geirgraphical sov=ciety and oatron induence to awards network ashden. The London Royal Societes are Jewels in crown of interdosciplinary innovation. They have already played a huge role in Ai with the neuroscociety Gatsby having been a lead sponsor of hassabis during his soctiral years. In fact Hasabsi had been sponsored by Garsby (see also brainfacts) to be in stabfr =d and meeting feifei Li on her arrival rgwew =e in 2009.  
Its interesting how many connections in intelligence world are made by the Royal game of tennis. If has brought Japan and UK families close. With Frances 2 great events in 2024 - Olympics, 3ef leg of AI World Series it would be great if female sports superstars and AI rockstars coud twin yiuth's celebration. Billy Jean King assisted by Salesforce Benioff is leading the way - see this PBS proram. It would be particularly cool if her Japan pick Naomi Osaka (Tennis Champion. Tokyo Totch Bearer, Black lives matter) coul bridge sports and AI worlds. Perhaps 2025 6-month osaka expo could be relay 4 og King Charles Ai. This wiuld alo help remember the late Abe's interest in deep data (he called osaka track) and AI's impact on soc5.0

Lee Kuan Yew
From singapore global network heroines to celebrate

Jackie Yi-Ru Ying Senior Fellow & Director,NanoBio Lab, A*STAR awarded the prestigious King Faisal Prize in Chemistry (2023), David and Lucile Packard Fellowship and the American Institute of Chemical Engineers (AIChE) Allan P. Colburn Award. She is an elected Member of the U.S. National Academy of Engineering, and German National Academy of Sciences – Leopoldina, TÜBA

Valuation AI changing every numerical profession

AI changing every profession like law dependent on applying history of published rules

AI is ending disciplinary silos

In corporations AI is changing "need to know"; rg if top people need to know then people at edge of customer /society relationships need to know. Preventing exponential risk (ie Ai safety) is meaningless unless organisational systems (let alone networks of partners) are getting rid of need to know

Partnerships cannot value sustainability of next generations if partnership has need to know constraints on any side. 

Life sciences and climate sciences can make huge leaps wiyh million times more comoutational power of deep data offered by advanced comuting archiecture. From 1966 to 2012 one cpu design almost monoplised comuting- this was one dimensional slow. Advanced comuting started in games tat required mutidimensional real time computation. REasons why "the sciences" leap firward with accelerated comuting o back to en=instein 1905 publications that nature maths is far deeped in system interactions than newton's maths could hypothesise or measure/see. Actually every risk to humanity is partlu=y assocuated with leadeship models not chnaging to integrate Einstein maths. THe NET (Neimann Einstein Turing) who gave us engines for brainworking and ultimaty for autonomous real tuke governance spent their last decade bbriefing media and ecoonomsts on this chalenge. Indeed they suggetsed a survey; what good will people unite wherever they get first access to 100, 1000, or million times more tech every decade. We can nw see that from 1965 moores law , sikicn valey linked engineering (also Jpaan deming) was pioneering 100 times more per decade. When satlellite pc netwrking started scaling those accessing this were designing futures with 1000 time more per decade eg from 1995 or tgerabouts. From 2012 or thereabouts, advanced computing architecture has offered coming of million times more. Thos who saw ai world championships hosted by feifei li saw 212 as when the whole world could see deep learning AI fr giid wiud need to map million times more. In 2018 LI testifed to congress that million times more computing machines were being rolled out primarily by nvidia but with eg AMD and ARM accelerating race between all transfirnimg to advanced comuting architecture


To date (74 years into dad's first briefings from Von Neumann) all AI is connected with engineers - hence our last edition of 2025 Report is designed around the game - identify first 100 then 500very good human intelligences most helping three triplets advance AI for all humans- todays maths goats Huang, Hassabis, Li; mid 20th C greatest Neumann-Einstein-Turing; Places leaders whose sovereign intel now depends on eg retaining their own Large Language model and deep data


  

It is likely that the main fieldbook of our last edition will impact the user like a travel guide to 1000 very good human intelligences

There are several inspirations to how future history genre of 2025 report but the one understood my today's co-editors starts in 1945 with Economist Editor Geoffrey Crowther. Geffrey edited London's weekly journal The Economist for over a decade before and after world war 2's conclusion. He also edited the centenary autoboigraphy of The Economist in 1943. As he said this was a unique opportunity to make sense of 100 year journalism instead of weekly reporting


In 1945 the exponentially deepest engineering question was could the impacts of engineers 2025-1945 celebrate more human good relationships around mother earth than the media and electricity engines begun out of Switzerland's IRU in 1865.

If the new engines of 1865 had root caused 2 world wars, it was likely that consequences of Engines 2025-1945 woul be be expoentially far better of far worse. As a Keynesian, Crowther was interested in what locks in possinbilities of next generations futures. My family entreeed into Crowrher's inquiry as dad had spent his last days as teen nanigatir allied bomer command burma, surviving he was in Keynes last class before Crowther hired dad and by 1951 sent dat to Priceton/New York to ask Von Neumann (and his NET: Einstein, Turing) about expoential multipliers

During the fisst 13 years that The Economist sever quesyioning of leaders included the NET's expected accelerations , Kennedy, Prince Charles and Japan's Emperor influenced the future - see www.econokistjapan.com; in effcet the pacific ocean (california to the coastal belth Jpaan Korea Taiwan HK and Singapore) had become an alternative innovation space to the atlantic theatre (Us east coast, and the 3 euoopes of isnads, of itu and central europe, and the EU's 6first 6 countries og 1955 which faf observed as only journalist Messina 1955)


So as we search for very good intelligences - 4 centre of gravities worth including:

how stanfrd became epicentre of global competition of training comuter brans (Fei-Fei Li epiecente before and after 2012)

the consequence of Jensen huang beettinng furtire comter design on 2012's ai breakthrough

the consequences of hassabis desinging intelligence games martching einstein's natural science revolution of 1905!

the cobsewquences of King Charles inviting commonwealth and turing worlds to LM Kings Ebglish in AI World series from Bletchley 2023, Korea and Parus, and why not space yot place digiral twins AI Soverigty










For Scots we could go back earlier. In 1758 Smith had asked what wil be the triangulaisation of 

1 natures systems

2 humans moral sentiments

3 man mafe (aeruficial) engines that his Glasgow University compatriot James Watt was emerging

Smith's explorations of compound systems are context rich. Scitlabd had become a coloy of London Kings since 1710s. Smith wanted to see a continent nit just one bellicose island be free to design enginnering futures. So he wasnt unhapply when Celtic friends led tea parties and US independence though Smith would not hav intended doubling down of Englosh Empire on two thirs of humans who were Asian 

 While we are looking forclues to crossroads that spiun rounf sysyems - its interestin to ask when did the King's english become the lingua franca of world trade.  

When it comes to LLM (Large Language Mapping) it helps to see when did English become the world's business language - somewhere between 1666 when dutch gave the english what became new york, late 1690s when Newton turned from cambridge science academic to master of London Mint (newly designed pounda gold standard) or 1730s start up of Lloyds; in any event this was before the start of engineering 1760 an birth of independeent usa 1776

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  1. chris macraeMay 26, 2024 at 6:22 AM

    Is it possible to meet someone in your new york office. I have 8 years of logs regarding un2.0 starting with september 2016 -2 events at which world bank leader represented those who said goal 4 wont happen this century with out digital connectivity across all multinational departments and borders. This began AI connectivity with ITU, Fei-Fei Li , Melinda Gates. But the UN2.0 report they wrote has not been consistently brand chartered and today it is critical that the King Charles AI world series maps engineers connecting sdgs. Frankly 74 years of notes started with von neumann shows that fears over AGI are nonsensical whilst yes fears on some contexts like arms and bad/fascist media need bottom up transparency. I attended 2 days summit future briefing led by Guy Rider spring 2023 only to find most of the youth systems promises have again been replaced by changes in personal agenda. I believe my notes are fully verifiable if you search chronology and value intent of people like Women Empowerment's Fazle Abed who i met 15 times to understand goals and intelligence his last 20 years aimed to celebrate through transforming millennials (especially girls) education and agency. Now that Melinda Gates has separated from Bill, she has 10 billion dollars to invest in girls good intelligence if you want to renew her framework mow that nvidia offers million times more computing for deepest data and maps data sovereignty around world's clearest climate and life science databases

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