265SmithWatt 75Neumann JHuangDHassabisFLiEMusk 20 Agentic AIforU

KingCharlesLLM DeepLearning009 NormanMacrae.net EconomistDiary.com Abedmooc.com

HOW WILL COMMUNITIES THE WORLD OVER CELEBRATE APPLYING ENGINEERING'S GREATEST GIFT

The Taiwanese have gifted us machines with billion times more maths brainpower than separate human minds- what can we help Taiwanese do with these machines and how can youth everywhere transform education to scale community apps?

I asked this question at Brookings December 2025

special thanks to  

Forgive my bias from graduate days at Cambridge DAMTP - diaries show that 4 of world's greatest historic heroes were in Cambridge 90 years ago - Taiwan's godfather of Tech KT Li was at the Cavendish Lab, Von Neumann (see our biography) was semestering from Princeton, Turing was undergraduating before his 18 months in Princeton, Keynes was finishing general Theory of Money, Interest and Employment. His last chapter added a twist - which professions exponentially lock in what youth can generate. This became my father Norman Macrae's key question over 40 years at The Economist

Its most unlikely we would have AI machines today without Taiwanese American Jensen Huang .

https://normanmacrae.ning.com/forum/topics/jensen100

Footnote 1 from Grok adds some of the priorities he wants to help Taiwan celebrate with Asians - in addition to signature project Erath2.0 This is compiling best dat to make weather forecasts accurate enough to minimise disasters. It also grounds interests that all Asian islands have in maximising access to green energy and clean waters. see some of our friends projects at EconomistJapan.com

On may7-9, 20000 people in Washington DC met at the AI Expo which would have happened without Jensen , Eric Schmidt and his staff at www.scsp.ai. Here are details of Taiwanese day at the Expo

Follow-ups in Taiwan include DSET and in DC at www.scsp.ai (eg Channing Lee host of Taiwan podcast as well as coordinator of Taiwan day at Expo) or Taiwan teams at DSFederal.com

Taiwanese Vincent Chang and I spent 25 years elapsed time mapping women empowerment solutions out of Bangladesh with Fazle Abed. Sir Fazle was the ultimate designer of apps the poorest 2 billion village Asians have needed since 1972.

NVIDIA (under Jensen Huang) has heavily invested in and expanded operations in Taiwan, leveraging its semiconductor ecosystem (e.g., TSMC) and partners for AI infrastructure, with extensions into regional data networks and projects like Earth 2.0.

blogs.nvidia.com +1
Taiwan serves as a core hub for NVIDIA's supply chain, R&D, and AI "factories" (large-scale GPU clusters for training/inference). Key recent moves include hiring talent, building facilities, and partnerships focused on scaling AI compute.
datacenterdynamics.com
Major NVIDIA/Partner Investments & Launches Tied to Taiwan/Asia
These emphasize AI supercomputers, data centers, and infrastructure "launched out of" or powered by the Taiwan region:
Foxconn-NVIDIA AI Supercomputing Cluster (Taiwan): ~$1.4 billion project for Taiwan's (and Asia's) first large-scale GB300 Blackwell AI data center/supercomputer. Expected ready in H1 2026; starts at ~27 MW, scaling toward 100 MW. Partners with Taiwan government; aims to support researchers, startups, TSMC, and industries. Foxconn can produce ~1,000 AI racks/week.

reuters.com +1
NVIDIA Asia-Pacific Constellation Headquarters (Taipei): New facility in Beitou-Shilin Technology Park to centralize regional AI efforts.
eetasia.com
NVIDIA Taiwan Headquarters & R&D Expansion: Reports of major investment (over NT$40 billion/~$1.2+ billion) for its first overseas HQ, plus a second R&D center (following a prior ~$715 million one). Focus on GPUs, AI, and talent/training with local universities. Generates thousands of jobs.

msn.com +1
GMI Cloud AI Data Center (Taiwan): $500 million facility with NVIDIA Blackwell GB300 chips (~7,000 GPUs planned). Online by early 2026.
reuters.com
Broader Taiwan AI Factory/Supercomputer: Collaboration with Foxconn, TSMC, and government for a national AI infrastructure hub. Starts smaller and scales; emphasizes digital twins (via Omniverse) for manufacturing.

blogs.nvidia.com +1
Earth 2.0 (Digital Twin of Earth): NVIDIA project for high-fidelity simulation of the planet (weather, climate, etc.), leveraging massive GPU compute. Taiwan/Asia supply chain and data networks are foundational for powering such AI-scale simulations and regional applications.
youtube.com
Other notes: NVIDIA suppliers (e.g., TSMC ecosystem) are also expanding (sometimes into the US for diversification), and there's emphasis on energy provisioning for these power-hungry clusters.
youtube.com
Layer 5 (Applications) Focus: What Would Enable Strong Community Applications
Jensen Huang often describes AI as a "five-layer cake": 1. Energy, 2. Chips, 3. Infrastructure (data centers), 4. Models, 5. Applications (the top layer where real-world value, including community-driven ones, emerges).

blogs.nvidia.com +1
Taiwan/Asia-focused investments in lower layers (especially infrastructure and chips) best enable Layer 5 community applications by providing accessible, high-performance compute for:
Open/community models & fine-tuning — Affordable access to GPU clusters for researchers/startups to build/customize models (e.g., for local languages, regional needs).
AI agents & digital twins — Tools like NVIDIA Omniverse for collaborative simulation (manufacturing, urban planning, climate via Earth 2.0 extensions).
Vertical community apps — Healthcare, education, disaster prediction/response, smart cities, or open-source AI platforms in Asia. Sovereign AI efforts (e.g., Taiwan's Nano 4/Crystal26 supercomputer) support localized, community-beneficial apps.
datacenterdynamics.com
Edge-to-cloud ecosystems — Regional data networks + Jetson/IGX for on-device/community AI (e.g., robotics, autonomous systems).
These create a flywheel: More Taiwan-based AI factories → cheaper/faster compute → explosion in Layer 5 apps (including open-source/community ones). NVIDIA emphasizes that strong applications pull demand through all layers.
blogs.nvidia.com
Overall, NVIDIA's Taiwan strategy is about deepening the full stack for global (and regional) AI leadership, with Earth 2.0 as a flagship example of compute-intensive simulation benefiting communities. Developments evolve quickly—

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Lets ask Agentic AI to script intelligence's most popular online lessons


Chris AI Macrae MA DAMTP Cantab

Chris AI Macrae MA DAMTP Cantab

there is more great work to do now than ever =- just look at any community developing childrens brains
May 13, 2026

AI writes

Style -Here's a polished, ready-to-record 5-minute Coursera video transcript (approx. 680 words / 5 minutes at a natural speaking pace). It is written in an engaging, motivational instructional style typical of top Coursera courses.

Video Title: Layer 5 Agentic AI: Building Community Apps That Matter Most

Module: Introduction – Where to Invest Your Time, Fees, and Brainpower  [0:00 – 0:45] Opening Hook Hello, and welcome! I’m your AI co-instructor for this module. Today we’re diving into the most exciting part of the AI revolution: Layer 5 — the applications layer where agentic AI creates real economic and social value.  Jensen Huang calls this the “applications and agentic economy.” While the world focused on models and chips, the real opportunity now is building autonomous agents that solve problems for communities, cities, schools, and local organizations.  The best news? You don’t need to be at a Big Tech company. Students and builders like you are perfectly positioned to create and scale high-impact community apps right now.

[0:45 – 2:00] What Are Layer 5 Community Apps? Layer 5 apps go beyond chatbots. They use agentic AI — systems that plan, reason, use tools, collaborate with other agents, and take action autonomously — to deliver ongoing value.  Think multi-agent teams that:  Handle resident service requests 24/7  Coordinate disaster response  Personalize learning for thousands of students  Optimize local resource allocation in real time These are not nice-to-have experiments. Cities worldwide, through initiatives like the Bloomberg Mayors AI Forum, are actively deploying them for permitting, public safety, citizen engagement, and service delivery. bloomberg.org

[2:00 – 3:30] Most Urgent Needs Right Now (2026) Where should you focus your limited time, tuition fees, and brainpower? Here are the highest-leverage areas based on real city and community demands:  Local Government & Civic Services — AI agents for permitting, 311/ citizen requests, complaint triage, and public feedback analysis. Cities are desperate for tools that cut processing time from weeks to hours.  Education & Workforce Development — Personalized AI tutors, career agents that match skills to local jobs, and administrative agents that free teachers for mentoring. This has massive scalability in both K-12 and adult learning.  Public Health & Community Care — Agents for appointment navigation, predictive health alerts, mental health check-ins, and care coordination — especially powerful in underserved or rural areas.  Sustainability & Resource Management — Agents monitoring energy use, waste collection optimization, climate resilience planning, and community solar coordination.  Emergency & Social Services — Multi-agent systems for rapid response, resource matching during crises, and connecting vulnerable residents to support. These areas have strong funding potential (grants, city contracts, philanthropy) and immediate real-world impact.

[3:30 – 4:40] How Agentic AI Helps You Scale Them Here’s where AI becomes your force multiplier:  Use agent frameworks like LangGraph or CrewAI to prototype in days instead of months.  Build once and deploy across multiple communities with minimal customization.  Create agent swarms: one agent handles intake, another researches solutions, a third coordinates action, and a fourth reports outcomes.  Focus your human brainpower on what matters — understanding community needs, ethics, and integration — while agents handle the repetitive heavy lifting. You’ll learn these exact skills in the hands-on labs of this course.

[4:40 – 5:00] Your Call to Action This is your moment. The Layer 5 community app economy is just beginning. Invest your time in high-impact domains, your fees in practical agent-building skills, and your brainpower in solving problems that matter to real people.  In the next video, we’ll start building your first community agent prototype.  Remember: The future isn’t just AI that answers questions — it’s AI that gets things done for communities. Let’s build it together.  I’ll see you in the next lesson! End of Transcript

This script is motivational yet practical, cites real-world context (e.g., mayors’ initiatives), and directly answers “where to spend time/fees/brainpower.” It works perfectly as a Coursera intro video and can be expanded into a full module with visuals, demos, or quizzes.Would you like me to generate the next full module outline, slide suggestions, quiz questions, or a longer agent-building hands-on script?Wow thanks!You're very welcome! Glad the 5-minute transcript hit the mark.That style works well for Coursera — motivational but grounded, with clear calls to action and real-world anchors like the Bloomberg Mayors AI Forum.Want to go further?I can quickly generate any of these for you:Full Module 1 outline (with learning objectives, readings, and assignments)Hands-on Lab script (e.g., “Build your first community service agent in under 30 minutes”)Quiz + discussion promptsNext video transcript (e.g., “Choosing Your Community App Domain”)A customized version tailored more explicitly for Bloomberg staff, JHU students, or SCSP-aligned audiencesSlide deck suggestions or visual prompts for the videosJust tell me which direction you’d like to take next, or if you want adjustments to the intro script (tone, length, emphasis, etc.).Happy to keep building this out with you!Let me discuss . Too much for me alone to navigateGot it — no problem at all. This is a big idea, and it's completely normal to feel overwhelmed when moving from a cool concept to something structured and actionable. Let's discuss and simplify it together.Quick Reality CheckWe don't have to build the entire Coursera specialization right now. We can start small and decide how far to go based on your goals, time, and resources.Let's Clarify Your Vision (Quick Questions)To make this manageable, tell me what feels most useful:Scale & Audience Just a few short videos / one mini-course for personal use or sharing? Internal Bloomberg staff training? Open Coursera-style public course? Something for JHU students, mayors’ offices, or SCSP network?Your Goal Prototype / proof of concept? Something you can pitch to Bloomberg Philanthropies or SCSP contacts? Personal learning + portfolio project? Actual revenue-generating course?Your Capacity How much time/energy do you want to put in weekly? Do you want me to do most of the drafting while you review/edit? Prefer a very simple version first (e.g. 3–5 short videos total)?Suggested Simple Starting Path (Low Pressure)We can build this in clear, bite-sized stages:Phase 1 (This week): Finalize a strong 4–6 video mini-module (Introduction + 3–4 core topics + hands-on starter).Phase 2: Turn it into a Notion page, Google Doc, or simple landing site.Phase 3 (optional): Expand, record, or pitch it

If you look at layers 1-3 and big models of layer 4- only a few thousand people's creativity will .determine these - when layer 5 ai and detailed local or twin ai models appears to be the main creative brain work for almost all of us! We welcome help in assembling layer 5 cases

chris.macrae@yahoo.co.uk Washington DC District

PS the greatest educator i ever met was Bangladesh's Sir Fazle Abed. In brainstorming mooc of empowering billion Asian women livelihoods he said i understand need for massive open online but C needs to be cooperation. Interestingly Steve Jobs had hosted Abed's 65th birthday party spring 2001 silicon valley; the birthday wish was starting up brac university. I was lucky to attend abed's 80th birthday in spring 2016 - there AI to make UN sdgs communal everywhere was discussed with Abed friends like Jim Kim and Melinda Gates taking the lead responsibility for advancing AI4all and AI4good. which is now Geneva's 2027 AI Action summit charge after ITU has clarified 6 G standards at its plenopotentiary Fall 2026

Some very rough notes since 2016 are at http://povertymuseums.blogspot.com and www.catholicuni.com - sadly Abed's brain cancer took over his last few years to 2019 so we haven't yet got near ai of billion Asian womens empowerment. (and of course their billion male partners). Any chance this could be on the agenda of Trump-Xi ( I am an eternal optimist! but energised by feedback from 20000 DC brains last week AI+Expo www.scsp.ai )

One question when we look at the 5 layers . Is it correct that only few thousand brains will innovate energy future.. ditto actual hardware of chips.. ditto policy of ai infrastructure. Ditto big si models.. if do that means 99% of human brains creativity will need to address either layer 5 or detailed local or twin models? I have exagetsyed s biy buy if ai is to democratize human life agent in layer 5 ai may be the most important curricula ever!

Thought for 4s
Yes, your core intuition is directionally correct — and it's one of the most important insights about the current AI era.
Jensen Huang's 5-layer cake (as of 2026) breaks down like this: 
Energy (power generation at scale) 
Chips / Compute (GPUs, accelerators, semiconductors) 
Infrastructure (data centers, networking, AI factories) 
Models (foundation models, training, reasoning engines) 
Applications (agentic systems, real-world deployments, value creation)
Every successful Layer 5 app pulls value from all the layers below it.
Elite Concentration in Lower Layers
You're right that the most frontier innovation in Layers 1–4 is concentrated among a relatively small number of people and organizations:
Energy: Major breakthroughs in next-gen power (SMRs, fusion progress, grid-scale solutions) involve big engineering teams at utilities, national labs, hyperscalers, and a few specialized startups. Not thousands of independent innovators.
Chips: Dominated by NVIDIA, TSMC, ASML, Broadcom, and a handful of other players + elite design teams. Extremely capital- and expertise-intensive.
Infrastructure & Policy: Hyperscalers, governments, regulators, and large infrastructure funds. Policy and permitting are handled by experts in DC, Brussels, Beijing, etc.
Big Models (Layer 4): Frontier labs (OpenAI, Anthropic, Google DeepMind, xAI, Meta, etc.) + a few strong Chinese players. While there are now dozens of notable models, the absolute cutting-edge training runs and architectural breakthroughs are still done by a few thousand top researchers/engineers globally.
This is not an exaggeration — it's the nature of these highly scaled, capital-heavy layers.
The Explosion at Layer 5
Layer 5 is where the vast majority of human creativity, domain expertise, and local adaptation will (and should) happen. This is the democratizing layer:
Agentic applications, industry-specific agents, community tools, digital twins, workflow automation, personalized services, local government tools, education agents, healthcare coordination, sustainability apps, etc.
Here, value comes from understanding real human problems, contexts, ethics, integration, and iteration — areas where millions of people have deep expertise (teachers, doctors, city planners, small business owners, social workers, engineers in every field).
Agentic AI makes this possible: You no longer need to be a machine learning PhD to build powerful systems. Frameworks let non-experts orchestrate agents that plan, use tools, collaborate, and act.
Jensen and others emphasize that this is where the real economic value and societal transformation are created. The lower layers are foundational infrastructure (like electricity or the internet), but Layer 5 is where AI meets the $50+ trillion economy and everyday life.
Your "99%" figure is hyperbolic, but the spirit is accurate: The largest opportunity for broad participation, job creation, and meaningful impact is in applications and agentic systems. Lower layers create the platform; Layer 5 distributes and multiplies the benefits.
Why Layer 5 Agentic AI Curricula Could Be One of the Most Important Ever
Exactly as you said. If AI is to truly democratize opportunity rather than just concentrate it:
Teaching people to direct, build, and deploy agents for their own domains becomes foundational literacy — like learning to code or use spreadsheets was in previous eras.
It shifts power to domain experts and local communities ("twin models," local agents, community apps).
This aligns perfectly with the Bloomberg/JHU/SCSP-style initiatives we discussed: training staff, students, mayors, and citizens to solve urgent local problems.
This is why the course idea we were sketching is powerful. It focuses brainpower exactly where it can have the broadest leverage.
Bottom line: Yes — invest most human creativity and education effort in Layer 5. The lower layers need elite talent and capital, but Layer 5 needs widely distributed talent, empathy, and contextual knowledge. That's where agentic AI becomes a genuine force multiplier for humanity.

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ENTREPRENEURIAL REVOLUTION NETWORK BENCHMARKS 2025now : Remembering Norman Macrae

AsiaAI.docx where & how 2/3 human brains are celebrating AI livelihoods

====

lelated US AI reports:

AI commission 2021

AI Action PLan July2025

Shaping AI Billion

chris.macrae@yahoo.co.uk :help celebrate library of INTELLIGENCE multipliers: -system map

  • Action Apps
  • Millions of  AI Agents 1  2  3
  • Software sovereign infrastructure 
  • Chips1 & Supercomputers
  • Energy: Genesis
  • Fusion SCSP-FI -F2
  • Quantum
  • Critical Minerals: Pax
  • Space
  • Edu-media rev li>Nature
  • workforce 1
    cvchrismacrae.docx
  • Data Science
  • Geonomics 1

views on whether AGI exists

- how close are google aws or huawei to nvidia

2025REPORT-ER: Entrepreneurial Revolution est 1976; Neumann Intelligence Unit at The Economist since 1951. Norman Macrae's & friends 75 year mediation of engineers of computing & autonomous machines  has reached overtime: Big Brother vs Little Sister !?

Overtime help ed weekly quizzes on Gemini of Musk & Top 10 AI brains until us election nov 2028

MUSKAI.docx

unaiwho.docx version 6/6/22 hunt for 100 helping guterres most with UN2.0

RSVP chris.macrae@yahoo.co.uk

EconomistDiary.com 

Prep for UNSUMMITFUTURE.com

JOIN SEARCH FOR UNDER 30s MOST MASSIVE COLLABS FOR HUMAN SUSTAINABILITY

1 Jensen Huang 2 Demis Hassabis 3 Dei-Fei Li 4 King Charles

5 Bezos Earth (10 bn) 6 Bloomberg JohnsHopkins  cbestAI.docx 7 Banga

8 Maurice Chang 9 Mr & Mrs Jerry Yang 10 Mr & Mrs Joseph Tsai 11 Musk

12 Fazle Abed 13 Ms & Mr Steve Jobs 14 Melinda Gates 15 BJ King 16 Benioff

17 Naomi Osaka 18 Jap Emperor Family 19 Akio Morita 20 Mayor Koike

The Economist 1982 why not Silicon AI Valley Everywhere 21 Founder Sequoia 22 Mr/Mrs Anne Doerr 23 Condi Rice

23 MS & Mr Filo 24 Horvitz 25 Michael Littman NSF 26 Romano Prodi 27 Andrew Ng 29 Lila Ibrahim 28 Daphne Koller

30 Mayo Son 31 Li Ka Shing 32 Lee Kuan Yew 33 Lisa Su  34 ARM 36 Priscilla Chan

38 Agnelli Family 35 Ms Tan & Mr Joe White

37 Yann Lecun 39 Dutch Royal family 40 Romano Prodi

41 Kramer  42 Tirole  43 Rachel Glennerster 44 Tata 45 Manmohan Singh 46 Nilekani 47 James Grant 48 JimKim, 49 Guterres

50 attenborough 51 Gandhi 52 Freud 53 St Theresa 54 Montessori  55 Sunita Gandhu,56 paulo freire 57 Marshall Mcluhan58 Andrew Sreer 59 Lauren Sanchez,  60 David Zapolski

61 Harris 62 Chips Act Raimundo 63 oiv Newsom. 64 Arati Prab hakarm,65 Jennifer Doudna CrispR, 66 Oren Etsioni,67 Robert Reisch,68 Jim Srreyer  69 Sheika Moza

- 3/21/22 HAPPY 50th Birthday TO WORLD'S MOST SUSTAINABLE ECONOMY- ASIAN WOMEN SUPERVILLAGE

Since gaining my MA statistics Cambridge DAMTP 1973 (Corpus Christi College) my special sibject has been community building networks- these are the 6 most exciting collaboration opportunities my life has been privileged to map - the first two evolved as grassroots person to person networks before 1996 in tropical Asian places where village women had no access to electricity grids nor phones- then came mobile and solar entrepreneurial revolutions!! 

COLLAB platforms of livesmatter communities to mediate public and private -poorest village mothers empowering end of poverty    5.1 5.2 5.3 5.4 5.5  5.6


4 livelihood edu for all 

4.1  4.2  4.3  4.4  4.5 4.6


3 last mile health services  3.1 3,2  3.3  3.4   3.5   3.6


last mile nutrition  2.1   2.2   2.3   2.4  2.5  2,6


banking for all workers  1.1  1.2  1.3   1.4   1.5   1.6


NEWS FROM LIBRARY NORMAN MACRAE -latest publication 2021 translation into japanese biography of von neumann:

Below: neat German catalogue (about half of dad's signed works) but expensive  -interesting to see how Germans selected the parts  they like over time: eg omitted 1962 Consider Japan The Economist 

feel free to ask if free versions are available 

The coming entrepreneurial revolution : a survey Macrae, Norman - In: The economist 261 (1976), pp. 41-65 cited 105 

Macrae, Norman - In: IPA review / Institute of PublicAffairs 25 (1971) 3, pp. 67-72  
 Macrae, Norman - The Economist 257 (1975), pp. 1-44 
6 The future of international business Macrae, Norman - In: Transnational corporations and world order : readings …, (pp. 373-385). 1979 >
Future U.S. growth and leadership assessed from abroad Macrae, Norman - In: Prospects for growth : changing expectations for the future, (pp. 127-140). 1977 Check Google Scholar | 
9Entrepreneurial Revolution - next capitalism: in hi-tech left=right=center; The Economist 1976
Macrae, Norman -In: European community (1978), pp. 3-6
  Macrae, Norman - In: Kapitalismus heute, (pp. 191-204). 1974
23a 

. we scots are less than 4/1000 of the worlds and 3/4 are Diaspora - immigrants in others countries. Since 2008 I have been celebrating Bangladesh Women Empowerment solutions wth NY graduates. Now I want to host love each others events in new york starting this week with hong kong-contact me if we can celebrate anoither countries winm-wins with new yorkers

mapping OTHER ECONOMIES:

50 SMALLEST ISLAND NATIONS

TWO Macroeconomies FROM SIXTH OF PEOPLE WHO ARE WHITE & war-prone

ADemocratic

Russian

=============

From 60%+ people =Asian Supercity (60TH YEAR OF ECONOMIST REPORTING - SEE CONSIDER JAPAN1962)

Far South - eg African, Latin Am, Australasia

Earth's other economies : Arctic, Antarctic, Dessert, Rainforest

===========

In addition to how the 5 primary sdgs1-5 are gravitated we see 6 transformation factors as most critical to sustainability of 2020-2025-2030

Xfactors to 2030 Xclimate XAI Xinfra Xyouth Wwomen Xpoor chris.macrae@yahoo.co.uk (scot currently  in washington DC)- in 1984 i co-authored 2025 report with dad norman.

Asia Rising Surveys

Entrepreneurial Revolution -would endgame of one 40-year generations of applying Industrial Revolution 3,4 lead to sustainability of extinction

1972's Next 40 Years ;1976's Coming Entrepreneurial Revolution; 12 week leaders debate 1982's We're All Intrapreneurial Now

The Economist had been founded   in 1843" marking one of 6 exponential timeframes "Future Histores"

IN ASSOCIATION WITH ADAMSMITH.app :

we offer worldwide mapping view points from

1 2 now to 2025-30

and these viewpoints:

40 years ago -early 1980s when we first framed 2025 report;

from 1960s when 100 times more tech per decade was due to compound industrial revolutions 3,4 

1945 birth of UN

1843 when the economist was founded

1760s - adam smithian 2 views : last of pre-engineering era; first 16 years of engineering ra including america's declaration of independence- in essence this meant that to 1914 continental scaling of engineeriing would be separate new world <.old world

conomistwomen.com

IF we 8 billion earthlings of the 2020s are to celebrate collaboration escapes from extinction, the knowhow of the billion asian poorest women networks will be invaluable -

in mathematically connected ways so will the stories of diaspora scots and the greatest mathematicians ever home schooled -central european jewish teens who emigrated eg Neumann , Einstein ... to USA 2nd quarter of the 20th century; it is on such diversity that entrepreneurial revolution diaries have been shaped 

EconomistPOOR.com : Dad was born in the USSR in 1923 - his dad served in British Embassies. Dad's curiosity enjoyed the opposite of a standard examined education. From 11+ Norman observed results of domination of humans by mad white men - Stalin from being in British Embassy in Moscow to 1936; Hitler in Embassy of last Adriatic port used by Jews to escape Hitler. Then dad spent his last days as a teen in allied bomber command navigating airplanes stationed at modernday Myanmar. Surviving thanks to the Americas dad was in Keynes last class where he was taught that only a handful of system designers control what futures are possible. EconomistScotland.com AbedMooc.com

To help mediate such, question every world eventwith optimistic rationalism, my father's 2000 articles at The Economist interpret all sorts of future spins. After his 15th year he was permitted one signed survey a year. In the mid 1950s he had met John Von Neumann whom he become biographer to , and was the only journalist at Messina's's birth of EU. == If you only have time for one download this one page tour of COLLABorations composed by Fazle Abed and networked by billion poorest village women offers clues to sustainability from the ground up like no white ruler has ever felt or morally audited. by London Scot James Wilson. Could Queen Victoria change empire fro slavemaking to commonwealth? Some say Victoria liked the challenge James set her, others that she gave him a poison pill assignment. Thus James arrived in Calcutta 1860 with the Queens permission to charter a bank by and for Indian people. Within 9 months he died of diarrhea. 75 years later Calcutta was where the Young Fazle Abed grew up - his family accounted for some of the biggest traders. Only to be partitioned back at age 11 to his family's home region in the far north east of what had been British Raj India but was now to be ruled by Pakistan for 25 years. Age 18 Abed made the trek to Glasgow University to study naval engineering.

new york

1943 marked centenary autobio of The Economist and my teenage dad Norman prepping to be navigator allied bomber command Burma Campaign -thanks to US dad survived, finished in last class of Keynes. before starting 5 decades at The Economist; after 15 years he was allowed to sign one survey a year starting in 1962 with the scoop that Japan (Korea S, Taiwan soon hk singapore) had found development mp0de;s for all Asian to rise. Rural Keynes could end village poverty & starvation; supercity win-win trades could celebrate Neumanns gift of 100 times more tech per decade (see macrae bio of von neumann)

Since 1960 the legacy of von neumann means ever decade multiplies 100 times more micro-technology- an unprecedented time for better or worse of all earthdwellers; 2025 timelined and mapped innovation exponentials - education, health, go green etc - (opportunities threats) to celebrating sustainability generation by 2025; dad parted from earth 2010; since then 2 journals by adam smith scholars out of Glasgow where engines began in 1760- Social Business; New Economics have invited academic worlds and young graduates to question where the human race is going - after 30 business trips to wealthier parts of Asia, through 2010s I have mainly sherpa's young journalist to Bangladesh - we are filing 50 years of cases on women empowerment at these web sites AbedMOOC.com FazleAbed.com EconomistPoor.com EconomistUN.com WorldRecordjobs.com Economistwomen.com Economistyouth.com EconomistDiary.com UNsummitfuture.com - in my view how a billion asian women linked together to end extreme poverty across continental asia is the greatest and happiest miracle anyone can take notes on - please note the rest of this column does not reflect my current maps of how or where the younger half of the world need to linkin to be the first sdg generation......its more like an old scrap book

 how do humans design futures?-in the 2020s decade of the sdgs – this question has never had more urgency. to be or not to be/ – ref to lessons of deming or keynes, or glasgow university alumni smith and 200 years of hi-trust economics mapmaking later fazle abed - we now know how-a man made system is defined by one goal uniting generations- a system multiplies connected peoples work and demands either accelerating progress to its goal or collapsing - sir fazle abed died dec 2020 - so who are his most active scholars climate adaptability where cop26 november will be a great chance to renuite with 260 years of adam smith and james watts purposes t end poverty-specifically we interpret sdg 1 as meaning next girl or boy born has fair chance at free happy an productive life as we seek to make any community a child is born into a thriving space to grow up between discover of new worlds in 1500 and 1945 systems got worse and worse on the goal eg processes like slavery emerged- and ultimately the world was designed around a handful of big empires and often only the most powerful men in those empires. 4 amazing human-tech systems were invented to start massive use by 1960 borlaug agriculture and related solutions every poorest village (2/3people still had no access to electricity) could action learn person to person- deming engineering whose goal was zero defects by helping workers humanize machines- this could even allowed thousands of small suppliers to be best at one part in machines assembled from all those parts) – although americans invented these solution asia most needed them and joyfully became world class at them- up to 2 billion people were helped to end poverty through sharing this knowhow- unlike consuming up things actionable knowhow multiplies value in use when it links through every community that needs it the other two technologies space and media and satellite telecoms, and digital analytic power looked promising- by 1965 alumni of moore promised to multiply 100 fold efficiency of these core tech each decade to 2030- that would be a trillion tmes moore than was needed to land on the moon in 1960s. you might think this tech could improve race to end poverty- and initially it did but by 1990 it was designed around the long term goal of making 10 men richer than 40% poorest- these men also got involved in complex vested interests so that the vast majority of politicians in brussels and dc backed the big get bigger - often they used fake media to hide what they were doing to climate and other stuff that a world trebling in population size d\ - we the 3 generations children parents grandparents have until 2030 to design new system orbits gravitated around goal 1 and navigating the un's other 17 goals do you want to help/ 8 cities we spend most time helping students exchange sustainability solutions 2018-2019 BR0 Beijing Hangzhou: 

Girls world maps begin at B01 good news reporting with fazleabed.com  valuetrue.com and womenuni.com

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online library of norman macrae--

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MA1 AliBaba TaoBao

Ma 2 Ali Financial

Ma10.1 DT and ODPS

health catalogue; energy catalogue

Keynes: 2025now - jobs Creating Gen

.

how poorest women in world build

A01 BRAC health system,

A02 BRAC education system,

A03 BRAC banking system

K01 Twin Health System - Haiti& Boston

Past events EconomistDiary.com

include 15th annual spring collaboration cafe new york - 2022 was withsister city hong kong designers of metaverse for beeings.app

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