Scots have studied trust consequences of artificial system designs since 1758 (Smith, Watt) we see 2025-35 as intelligences most exciting decade - .
we recommend high school students & teachers follow these high-school lebel intelligence questions on how Japan-Taiwan-Singapore-HK-Korea & agentic ai can see millennials generate 10 times more health*wealthin 1905 einstein published mathematical correction to man's science -- e=mcsquared ; because this valuation is non linear, can you discuss if this makes governance linear planning of climate, energy, finance or any engineering consequence fatally wrong-?can you discuss in more detail how west academics using linear correlation analysis may therefore cause fatal flaws in politics and media and all deep data models which societal trust between generations requiresso how does this risk making gov regulation or vision of AI wholly wrong for all human health can you contextually explain why he same exponential reasoning reveals risks of water and energy maps being wrong planned around our planet, and when eg Nviia's Jensen Huang says ai can be democratic equaliser, this also depends on human maps getting squared dynamics rightDo Taiwanese and neighbors have sufficeinnt undesrtanding of sqyared dynamics that educatirs everywhere else need to transform around their deep intelligencefurtermore do all western professions , media and educators have someting urgently to open (AI) model with Taiwanerse American engineers facing expoenetial maths crisis head on?please clarify: historically did EU AI regulations slow down true models millennails need?were the eu's own models of eg pensions and helath accidntally trapped in ponzi-scheme arithmetic due to population bubbles etc If i understand correctly Taiwan and China have hundreds of years of shared language and culture models so I sometimes wonder if it would be valid to say rest of world has bigger learning gap in understanding chinese and Taiwanese than China and Taiwan currently have; in any event it does not seem l,ikely the West will be hinest data connectir China and Taiwan now need?the question I dont know how to frame - statistically is some eastern intelligence nearest to above zero sum all millennilas need, whereas western linera models are stick at zeo sum or in case of wars on=r hate media below zero-sum5 eatsren places peoples seem heroic to me as a diaspora scot; prior questions show why i love taiwanese reasoning; arguably freedoms came first to singapore any way these 5 million people found a good independence beyond britain and dcelared wish to share with all asean peoples; next I feel great britain returned hk to china in a more equitable way than any other country would (please note scot in me finds this quite hard to admit)... before all this Jpapan has offered extraordinary post war enginnering models evn if for half a century prior it had ruled in worst way over most of East; and since freedom korea s engineers have been extrordinary too; i feel these places effectively united trust before they shared inytel with China's hoigely populated coastal cities- please comment?Also these 5 places have few if any carbon resources. so it it true they mainly grew with human brain power aligned with natureso how did these peoples free education at all levels to be curiously ahead of fast chnage rather than politically trapped within sqyared unprecedneted challenge to human brain connectionscan ai help beyond 5 places roughly 150+60+20+10+5 ie 3 per cent of human brains as core foundation ai model

Sovereign AI examples:Canada, European Public Broadcasting, EU1, Indonesia, Germany Deutsche Telecom.. Kion Warehouse AI
Latest AI AGENT NEWS IN WEST -FROM CREATORS OF BILLION TIMES SMARTER MATHEMATICIANS (HUANG, HASSABIS) FROM GROK, OPEN AI - please send news from asia chris.macrae@yahoo.co.uk Agentic AI stories of Billion times greater maths brain. & 10**18 More Tech.***Huang*Hassabis*Musk  .Billion Times Greater Maths Brain ..***Neumann*Einstein*Turing
MOST EXCITING TIMES TO BE ALIVE_ CHOOSING WHAT TO DO WITH CHIPS*COMPUTERS*DEEP DATA SOVEREIGNTY MOBILSATION Thanks to Moores Law, Satellite Death of Distance, Jensen's Law - peoples can now work with 10**18 more tech in 2025 than 1965 but where is freedom of intelligence blooming? AI vibrancy Rankings places supporting people's application of 1000 times more tech every 15 years from 1965 and million times more tech from 1995- Japan since 1950; West Coast USA & Taiwan from 1965; Singapore HK Korea Cambridge UK from 1980; China UAE from 1995; from 2010 rsvp chris.macrae@yahoo.co.uk Grok3 suggest 2025 Biotech miracles for Asian and African Plants Since Nov 2023 King Charles launch of AI world series has also converted French, Korea and India Generation of Intelref pov museums Jan 2025: For millennials to intelligence human sustainability, does UN need moving from USA to Japan?

Ref JUK0

ED, AI: Welcome to 64th year of linking Japan to Intelligence Flows of Neumann-Einstein-Turing - The Economist's 3 gamechnagers of 1950s .. Norman Macrae, Order 3 of Rising Sun ...Wash DC, Summer 25: Son & Futures co-author Chris.Macrae Linkedin UNwomens) writes: My passion connecting generations of intelligences of Asian and Western youth follows from dad's work and my own Asian privileges starting with work for Unilever Indonesia 1982 - first of 60 Asian data building trips. 3 particular asian miracles fill our valuation system mapping diaries: empowerment of poorest billion women, supercity design, tech often grounded in deepest community goals; human energy, health, livelihood ed, safe & affordable family life integrating transformation to mother earth's clean energy and Einstein's 1905 deep data transformations. All of above exponentially multiply ops and risks as intelligence engineering now plays with 10**18 more tech than when dad's first named article in The Economist Considered Japan 1962 - with all of JFKennedy, Prince Charles & Japan Emperor joining in just as silicon chips, computation machines and satellites changed every way we choose to learn or teach or serve or celebrate each other
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EconomistJapan.com: Help map Neumann's Japan's gifts to humanity since 1945, all Asia Rising 1960+ AND invest in hi-trust millennials' brains now!Friends and Family
Future History


Journalism of 10**18 More Tech. Norman Macrae became Economist diarist of Neumann (Einstein Turing) in 1951. All three of the NET died suddenly (last notes Neumann - Computer & Brain , Bethesda 1956) but not before training economic jounalists of Neural Network maths and coding aim to map win-wins of their legacy of 10**18 more tech by 2025, JF Kennedy and Royal families of UK and Japan were first to debate what this might look like from 1962 - in 2025 the most exciting AI & BioI (learning) games millennials can play are rooted to exponential mappingAI Game 1 douible loops through 3 AI wizards, nations' AI leaders
Jensen Huang
Demis Hassabis
Yann Lecun.
Bloomberg
45 Cities- Civil Eng Road of Things
SAIS 70 nations youth ambassadors of win-win science
Deep learning billion year leaps in Einstein 1905 maths e=mcsquared starting with biotech's 250 million proteins.
Emperor Naruhito
King Charles
Narendra Modi.

Monday, December 31, 2007

To celebrate asia-us intelligence week commencing oct 26 2025 we asked grok to update asian cities blo0omberg has built citizens intelligence with


Asian Cities and Mayors Embracing Long-Term Urban Responsibility in Bloomberg's SpiritMichael Bloomberg's approach—through Bloomberg Philanthropies—emphasizes data-driven, innovative governance for sustainable, equitable cities, often via global networks like the Bloomberg Harvard City Leadership Initiative (which has engaged hundreds of mayors worldwide, including Asian ones) and the Bloomberg New Economy Dynamic Cities Coalition (tracking 30+ cities with metrics on digital intelligence and resilience). While direct program participation is lighter in Asia compared to the Americas (e.g., City Data Alliance focuses there), several Asian cities and mayors align closely with this ethos. They prioritize long-term challenges like climate resilience, tech innovation, inclusive growth, and data sovereignty—much like Bloomberg's NYC legacy or his global efforts.Yuriko Koike, Governor of Tokyo (since 2016), exemplifies this: She's a steering committee member of the OECD Champion Mayors for Inclusive Growth (a Bloomberg-adjacent network for 70+ global leaders tackling inequality and sustainability) and has spoken at Bloomberg events on green finance and urban crises. Her initiatives, like the annual SusHi Tech Tokyo summit for AI-driven urban solutions and net-zero goals by 2050, mirror Bloomberg's evidence-based innovation.Below, I list 8 prominent Asian examples (focusing on East/Southeast Asia for relevance to your Pacific context). These cities are either in Bloomberg's Dynamic Cities Dashboard (for data benchmarking) or led by mayors who've collaborated via OECD/Bloomberg forums, emphasizing long-term responsibility in areas like AI ethics, disaster prep, and economic equity. I've noted key alignments.
City
Mayor/Governor
Key Long-Term Initiatives (Bloomberg-Style)
Bloomberg Connection
Tokyo
Yuriko Koike
Net-zero CO2 by 2050; SusHi Tech Tokyo for AI/food tech innovation; multi-city networks for disaster/climate adaptation.
OECD Champion Mayors steering member; Bloomberg New Voices speaker on sustainability; in Dynamic Cities Dashboard.
Seoul
Oh Se-hoon (since 2021)
AI-powered urban planning (e.g., smart city grids); carbon neutrality by 2050; inclusive growth via data analytics for housing/aging.
In Dynamic Cities Dashboard for digital intelligence metrics; OECD Inclusive Growth participant (Bloomberg-aligned).
Singapore
Lawrence Wong (PM, overseeing city-state; mayor-like role via PAP)
Smart Nation initiative for AI/data sovereignty; green economy transition (30% emissions cut by 2030); resilient infrastructure.
Hosts 4,200+ multinational HQs with Bloomberg data support; in Dynamic Cities Dashboard; Bloomberg Intelligence hub for Asia tech.
Taipei
Chiang Wan-an (since 2022)
Digital governance for transparency (e.g., open data platforms); disaster resilience post-1999 quake; green tech hubs.
In Dynamic Cities Coalition discussions; aligns with Bloomberg's Asia data sovereignty via Taiwan's tech diaspora ties. (implied via regional focus)
Hong Kong
John Lee (Chief Executive, mayor-equivalent)
Greater Bay Area integration for economic resilience; AI ethics in finance; post-COVID recovery with data-driven health.
Hosts Bloomberg Asia ops; in Dynamic Cities Dashboard; competes with Singapore in Bloomberg reports on urban finance.
Istanbul
Ekrem İmamoğlu (since 2019)
Pay It Forward civic crowdfunding for equity (e.g., earthquake relief); data for inclusive urban services.
2017 Mayors Challenge winner ($5M grant); replicated in 300+ cities via Bloomberg network.
Yokohama
Takeharu Yamanaka (since 2021; successor to Fumiko Hayashi, a trailblazing female mayor)
Minato Mirai 21 for high-value urban cores; World Bank/Bloomberg-inspired job creation via competitive cities.
World Bank Competitive Cities study (Bloomberg-aligned); women's leadership network with Koike.
Sendai
Kazuko Kōri (since 2024; first female mayor of a designated city)
Post-2011 quake resilience (data for disaster prep); inclusive growth for aging society.
Women's mayors network with Koike; aligns with Bloomberg's equity focus in Asia.
These leaders, like Bloomberg, view mayoral roles as stewards of multi-decade transformations—e.g., Koike's "multi-city-lateralism" for shared data on crises echoes Bloomberg's global peer networks. Istanbul's direct win shows deeper ties, while others leverage Bloomberg's dashboards for benchmarking (e.g., Seoul/Singapore on AI transitions). For broader reach, the 2024 Mayors Challenge (open globally) could include more Asian entries. If you'd like details on a specific city or expansions to South Asia (e.g., Mumbai), let me know!

Since 2007 Bloomberg.org has invited cities/mayors to learn from and with his intelligence renewal of New York. Here we aim to match intelligence50 city lists:

GR Grok 50 cities

BLoomberg Cities

KIN Cities connected either with King Charles AI World Series or India's plan as largest commonwealth nation to win-win with King Charles AI

NB in some cases we identify with a whole Nation. Taiwan being the place without which AI would notb have been most valauble game millennials can play

. Grok 3 wrote: I've reconstructed a list of 45 cities based on Bloomberg’s 2007-era focus (e.g., stock exchanges, tech hubs, GDP) and cross-referenced with Neumann-Einstein-Turing cities (e.g., Princeton, Cambridge). These cities drive trillion-dollar sectors (AI, biotech, energy) and scientific diplomacy in 2025:
  1. New York, USA – Financial capital, UN hub, biotech (e.g., Pfizer).
  2. London, UK – Financial/tech hub, DeepMind, AI diplomacy.
  3. Tokyo, Japan – Tech/finance, Sony, biotech (e.g., Takeda).
  4. Hong Kong, China – Financial gateway, biotech investment.
  5. Singapore – Tech/finance, biopharma hub (e.g., GSK).
  6. Shanghai, China – Financial/tech, AI/biotech (e.g., WuXi AppTec).
  7. Beijing, China – Policy/tech, BGI Genomics.
  8. Frankfurt, Germany – EU finance, biotech (e.g., BioNTech).
  9. Paris, France – Finance/policy, Sanofi, AI policy.
  10. Seoul, South Korea – Tech/biotech, Samsung BioLogics.
  11. Sydney, Australia – Finance/tech, CSL Limited (biotech).
  12. Toronto, Canada – Finance/AI, Vector Institute.
  13. Dubai, UAE – Financial hub, biotech investment.
  14. Mumbai, India – Finance/biotech, Serum Institute.
  15. San Francisco, USA – Silicon Valley, Genentech, Nvidia.
  16. Boston, USA – Biotech hub, Moderna, Harvard.
  17. Chicago, USA – Finance, AbbVie (biotech).
  18. Los Angeles, USA – Tech/biotech, Amgen.
  19. Zurich, Switzerland – Finance, Roche, Novartis.
  20. Amsterdam, Netherlands – Finance/tech, Philips.
  21. Stockholm, Sweden – Tech/biotech, AstraZeneca.
  22. Copenhagen, Denmark – Biotech, Novo Nordisk.
  23. Oslo, Norway – Finance/energy, biotech investment.
  24. Helsinki, Finland – Tech, biotech startups.
  25. Moscow, Russia – Finance/policy, biotech (e.g., Sputnik V).
  26. Sao Paulo, Brazil – Finance, biotech (e.g., Butantan Institute).
  27. Mexico City, Mexico – Finance, biotech investment.
  28. Bangkok, Thailand – Finance, biotech (e.g., BioNet-Asia).
  29. Kuala Lumpur, Malaysia – Finance, biotech growth.
  30. Jakarta, Indonesia – Finance, Bio Farma.
  31. Manila, Philippines – Finance, biotech investment.
  32. Taipei, Taiwan – Chip/biotech hub, TSMC, Medigen.
  33. Tel Aviv, Israel – Tech/biotech, Teva, Cyera.
  34. Istanbul, Turkey – Finance, biotech (e.g., Turkovac).
  35. Riyadh, Saudi Arabia – Finance, biotech investment.
  36. Abu Dhabi, UAE – Finance, G42 (AI/biotech).
  37. Delhi, India – Policy/biotech, Bharat Biotech.
  38. Bangalore, India – Tech/biotech, Biocon.
  39. Johannesburg, South Africa – Finance, Aspen Pharmacare.
  40. Lagos, Nigeria – Finance, biotech growth.
  41. Santiago, Chile – Finance, biotech investment.
  42. Buenos Aires, Argentina – Finance, biotech (e.g., mRNA vaccines).
  43. Washington, D.C., USA – Policy, NIH, Neumann-era hub.
  44. Princeton, NJ, USA – IAS, Neumann-Einstein hub.
  45. Cambridge, UK – Turing hub, biotech (e.g., Cambridge Biotech).
Verified Bloomberg cities NY, Baltimore-DC, Tokyo, Osaka. Seoul, Busan London, CambridgeTaiwan, Manchester,  Paris, LA, San Francisco, Seattle, San Diego, Beijing, Nanjing, Shanghai, Hangzhou, Bologna HK Singapore, Mumbai, Delhi, Bangalore, Qatar, Saudi Arabia, Abu Dhabi_Dubai,  Madrid, Barcelona, Rome, Geneva, Vienna, Helsinki,  Copenhagen, Amsterdam, Rotterdam-Hague, Sao Paulo, Madrid, Barcelona, Vancouver, Toronto, Glasgow, Sydney, Frankfurt, Berlin, Pittsburgh Carnegi Melon), Boston, Austin

80 Mayors participating in Bloomberg Hopkins Gen AI research
Adama, Ethiopia Allentown, Pennsylvania, USA Amherst, New York, USA Banjul, The Gambia Baton Rouge, Louisiana, USA Butuan City, Philippines Charleston, South Carolina, USA Chattanooga, Tennessee, USA Columbia, South Carolina, USA Dubuque, Iowa, USA Durham, North Carolina, USA Elizabeth, New Jersey, USA Fargo, North Dakota, USA Fort Collins, Colorado, USA Freetown, Sierra Leone Gezer, Israel Glasgow, Scotland Greater Manchester, United Kingdom Hampton, Virginia, USA Helsinki, Finland Hermosillo, Sonora, México Highland Park, Illinois, USA Huntington, West Virginia, USA Jackson, Mississippi, USA Kansas City, Kansas, USA Kitchener, Ontario, Canada Knoxville, Tennessee, USA Kumasi, Ghana Lancaster, Pennsylvania, USA Lansing, Michigan, USA Lincoln, Nebraska, USA Liverpool, England Maipú, Región Metropolitana, Chile Masaka, Uganda Missoula, Montana, USA Mogi das Cruzes, São Paulo, Brasil Moncton, New Brunswick, Canada Monterrey, Nuevo León, México Montevideo, Uruguay Nansana Municipality, Uganda New Bedford, Massachusetts, USA New Orleans, Louisiana, USA Oklahoma City, Oklahoma, USA Paterson, New Jersey, USA Providence, Rhode Island, USA Quelimane, Mozambique Quillota, Valparaíso, Chile Raleigh, North Carolina, USA Regina, Saskatchewan, Canada Renca, Chile Reykjavik, Iceland Rochester, Minnesota, USA Rourkela, India Sacramento, California, USA San Bernardino, California, USA San Francisco, California, USA San Pedro Garza García, Monterrey, México Sandy Springs, Georgia, USA Santa Fe, New Mexico, USA Sarajevo, Bosnia and Herzegovina Scottsdale, Arizona, USA Scranton, Pennsylvania, USA Sintra, Portugal Skopje, Macedonia South Yorkshire, United Kingdom St. Louis, Missouri, USA St. Petersburg, Florida USA Stamford, Connecticut, USA Tacoma, Washington, USA The Hague, Netherlands Tirana, Albania Torino, Italy Tulsa, Oklahoma, USA Turku, Finland Vancouver, Washington, USA West Palm Beach, Florida, USA West Sacramento, California, USA White Plains, New York, USA Youngstown, Ohio, USA
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