In 2010 The Economist Board & Glasgow University Smith Scholars said goodbye to (dad) normanmacrae- we opened up journal of social business to celebrate Norman's last Entrepreneurial Revolution birthday party guest Muhammad Yunus chris.macrae@yahoo.co.uk

https://www.linkedin.com/pulse/first-chance-free-intelligence-greatest-economic-15-chris-igjze/

July 2024 update- can any of our resources help dr yunus survey what to x\next as Bangladesh nominates him until elections ?

40000 facebook fan club

Glasgow Smithian Journal Social Business launched with 150 associates of Yunus

chris.macrae@yahoo.co.uk

First chance to free intelligence on greatest economic miracle in 15 years- dear dr yunus

Chris Macrae MA DAMTP Cantab

DC-CI is all we need. AI20s.com world where one interview each week changes every intelligent possibility -eg 555 penn ave 9 August or axios sustainability AI 23 july or ZuHu youtube.com/watch?v=w-cmMcMZoZ4

August 7, 2024

Yunus Facebook FanClub .. ED2010 NormanMacraeKCLLM Microeconomics

When it comes to human development since 1970 there are 2 miracles - both integrating deep data mapping around women empowerment. Focus is "1billiongirls" across humid Asian villages where up to half of infants died of diarrhea and infectious diseases until nation wide vaccination and village mothers learning oral rehydration (1970s Brac Fazle Abed, UNICEF James Grant).

Don't assume that humanity's greatest lessons get included in education curricula even those UNESCO generates.. Perhaps the problem begins with macroeconomic viewpoints and eg big pharma as there is next to no monetary profit to be made out of oral rehydration or basic vaccinations

Future Capitalism Norman Macrae Last Birthday Party RAC ST James London

However for much of last 16 years, the simplest reason intelligence of billion village girls could not be shared is due primarily to one supreme leader (female in this case) who did not want any Bangladeshi to be more famous than her father who had helped found Bangladesh from the 1971 freedom war with West Pakistan. This week Sheika Hassina fleed Bangladesh- will humans seize the opportunity to linkin miracles of f billion girls intelligence?

Main Lesson of 20th C Connectivity: Life of all of us can be ruined by bad media and ego of supreme leaders. Whist working on Brand Chartering at 3 if the West's biggest ad agencies in 1999, i guest edited triple issue of Journal of Marketing Management. When I presented this main lesson at Harvard to the professor whose big "global" databases with millions of j\hours of customer interviews I had helped compile in the 1980s, I was disappointed t be told you may be right but in America research funds would never be allocated to such a

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Friends and I first went to Bangladesh Xmas 2007. For 15 months we could question any friend of Muhammad Yunus and Sir Fazle Abed. In June 2008 we made 10000 dvd copies of interviews with all who had founded Grameen Bank with Yunus- that was the same week that Nobel judges were opening a poverty museum exhibition to Yunus and delivering a speech promising to continue support of the younger half of the world.

But back in the West subprime was snowballing. And, In 2009 Sheika Hassina was elected. It became clear she and many around her had a personal hatred of Yunus. There increasingly became no point in explaining how women had developed this poorest nation - Hasina's mobs could easily go beat up village women , and increasingly started closing down anything with Yunus connection

ABEDmooc.com Its important to understand what was lost. If you came to Bangladesh up to the late 1990s, studying how village women built the nation meant primarily studying personal networks of villagers without electricity and without communications other than word of mouth or where literate print of book. Then, attracting world class partners, Bangladesh became the first hugely populous nation from the late 1990s to entrepreneur what could villagers linkin with solar and mobile. Some extraordinary leapfrog models eg mobile points instead of cashless banking.

Or village telephone girls -yunus model one girl per 60 would get a phone, become the public phone box for the other 59; also become a local yellow pages from seeing ver small business connections the other 59 members in each grameen circle used the phone for.

There's an important point to note about ending extreme poverty. Its always less costly and easier to design a solution leaving out the very poorest. But that was not what brac or grameen ever did.

Even without the sheika hassina mess and some of the worlds big banks being only too happy to see community banking for the poorest as main victim of subprime, stuff would have been complicated,

Today in 2020s we may be more used to intelligence multiplying at least 4 flows- lifetimes, deep social data, community goodwill as well as monetary exchange

MICROEDUCATION Brac abedmooc.com was actually built more as an education revolution than a financial one.

Jim Kim transferred this message from Abed's 80th birthday party 2016 to SDG4 launch of education as pivotal to all sdgs. He connected Geneva's ITU with UN Hq bit still King Charles seems as yet to be in minority in seeing AI as sustainability generation's last chance

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Its 75 years since dad first worked with Von Neumann to retrain Economist journalists on interviewing leaders in an era of unprecedented (Quintillion times moore tech). Its 41 years since he and I took future histories beyond the Economist to 2025Report clubs. We aim to help catalogue 500 intelligences to use as starters for AIGames - the greatest ever to be played (if we can reassert Yunus intelligence all over community deep worlds millennials need to regenerate)

chris.macrae@yahoo.co.uk

Economist Journalist (dad) of Neumann's Most Valuable scoop for humanity Dies : Deep Mind born (54 years on from Neumann's book on computer & brain)

-related 1billion girls intel -envoy Fazle Abed briefed Lead Valley families since 2001 (Abed 65th birthday wish party), Prince Charles since 2009, UN SDG launch at Abed 80th birthday 2016 - from which Melinda Gates & Fei-Fei Li first UN2 roadmap Guterres gravitating future of education & AIgood

AI best updated feb 2024 (western maps): sectors current top cheerleader King Charles; ecosystem top Yangs & Huangs

Biotech 03 10 02.1 02.2 09 04 Foundation 07 10      Kings (Charles+Japan+Netherlands)

Climate  06 08                     Trust 02 05              SDGS

Drivers 02                            Valley  02               Media

Education 02                      Policy 05                   Xpo governance

Womens  02 EW 07 09     Justice 09                   Risk revolution system 04 05

Humans 02                        LanGuage 04              ZZZ dream 02 moonshots, borderless

Youth   1.2.5.7                   Neumann-ET      University of Stars Charles Salesforce-Benioff King

10=3 most collaborative with millennials as first sustainability generation

01  Taiwanese-Am Jerry Yang &  Akiko Yamazaki 1  -Stanford invest  impact since 2004 ; Stanford Chair of Board - yahoo us-asia nets since eg 1992

02 fei-fei li  arguably launched computer vision deep learning & so number 1 in ai education : AI breakthrough 2012-imagenet trained computer vision 20 million images -20000 entities humans work/play with - stanford multipliers include 2014+ AI-4-all (k-12 up with Nvidia & Melinda Gates); 16+ UN2 with Melinda Gates ,  17-19 AI for Google Cloud & 18 congress briefing, 19 HAI (every college discipline's human-centric AI version), ai national visions with Hoover fm 2023 ; before 2012 see autobio worlds I see- NB Stanford from 2009 first to support her tranformation of intel; since 2009 including biotech hassabis (visiting) koller  02.1;  dowdna 02.2 ; also Andrew NG 02.3; -li's husband does corporate ai at salesforce (Benioff pro bono BJ King - see universityofstars.com / EconomistSports.net; - Great podcasts with Clara Shih - Economistwomen.com) -more at AI stanford 2.4 etchemedy co-launched hai; 2.5 Liang- benchmark foudation models (nlp) ...  

03 Hassabis met Li Stanford 2009 while sponsored by Neuroscience Gatsby (UCLondon welcome) founded deep mind london, trained computers on logic games : Go spectacular pattern recognition biotech- merged google computing power 2014- alphafold2 arguably greatest ever leap - biotech 250 million proteins; since 2023 google us needed him on gemini chat with jeff dean. pichai, brin, page - all mostly stanford alumni - 03.1 Deep MindLondon 03.1 Lila Ibrahim  03.2 Cambridge wonderful clare bryant Cantab debrief 2/22/2024 - colleague at Queens with Hassabis - focus end zoonotics - tour of how covid messes with body's pattern recognition 

04 Mr & Mrs Jensen Huang Nvidia is the "million times moore chip power" of GPUs needed for ai breakthroughs since 2012

04g2 goal specific - war or disaster zones worldwide jose andre world central kitchen; india  Madhu Pandit Akshaya Patra Foundation. It was founded in 2000 by Madhu Pandit Dasa (spiritual name) or Madhavananda Das (legal name).

While the foundation doesn't have a single founder in the traditional sense, Dasa is the driving force

05 Condoleeza Rice 1 2 - back at stanford since 2009- now  Hoover/Setr western worlds best policy connector eg stanford and dc; 10 tech professor predictions future include fei-fei li 05.1 Horowitz yahoo professor semiconductors since 2004; also a1100 since 2016  -NB supply chain chips very complicated US starts again March 2024 Rockville Nist https://www.nist.gov/chips

5a ITI's Oxman other positive influence on how dc sees ai policy;2024 intersect summit featured notable practice leaders -eg5a1 Amazon's General Counsel David Zapolsky (1)

5b Kai-fu Li wrote an AI best seller as recently as 2018 with little or ne deep learning ai; this showed that corporates with closed data have been investing in ai a long time- li's book was also interesting as based mainly in asia it covered many places where people had leapfrogged from no phone to smart phone, no big box shops to no big box shops; in these cases it was also easier to see eg fintech  designed around better value ... (Within Economist dad Norman first started deeply discussing need for digital cooperation to change community access to

1 finance 1972

2 food 1977

3 health 1984 (cheaper ways of getting better - though dad having tracked birth of uk national health service used to say it died a year after it was born because it was a wonderful promise bur not matched by empowering learning etc)

4 whilst education was always our yardstick for good digital dad's 1986 survey offered complete review of why history of empire education might make transformational attention hard to design in

5 while dads surveys of nations always asked what help did peoples need to leap beyond any national inertias, 1982's why not silicon valley everywhere remains question to AI explore with every day

in 2008 dad invited 40 london friends to listen to testimony of 1 billion (asian rural) girls end poverty intelligence progressed since 1970- this lead to 15 trips to bangladesh www.abedmooc.com and a replay of this (lower half of picture which shows how to factorise UN 17 sdgs into more practical overall system changes briefing famous silicon valley families received from 2001 to 2016 (i attended 2016 briefing in bangladesh also Fazle Abed's 80th birthday party which was the origin for melinda gates and fei-fei li and jim kim contributions to Guterres UN2.0 roadmapping

06 Ajay Banga  1- world bank since june 2023- most credible connector of liveable planet development finance and potentially all climate adaptation ai - India vgood 6.1 mrs tandon  6.2 Natarajan “Chandra” Chandrasekaran Tata; 6.3 neville williams : carters green energy director popularised solar panels and went on to build www.self.org one of networks bring solar to india's barefoot movements

07 Mrs Melinda Gates - number 1 living connector billion girls ai (abed) -originally Jobs & Gates led women bottom billion ai greetings valley 2001;  supporter ai 4 all and un aigood since  since fei-fei li breakthrough- see also womens moments of lifts books

08 Mr & Mrs Doerr - at 1982 economist survey why not silicon valley everywhere- now billion $ climate lab with stanford and with 8.1 mrs jobs, mrs yang on their board-  https://sustainability.stanford.edu/our-community/advisory-council 8.2 Angela Filo 1  8.3 Eric Yuan Zoom 8.4 John Hennessy 8.5 Martin Lau

08.1 Barrett, Michael Crow

09 Mr & Mrs Tsai  1- neurosciences labs yale & stanford; womens sports - coilored justice; connects asia and stanford alongside yangs

10 Priscilla Chan- potentially longest philanthropy - biotech meets health community and pediatrics

11.1-3 Treble up Lecan (NY) & bengio (quebec) still work closely as active 60 + professors; hinton at 70+ no longer full time back in london from toronto

12.1 middle east connector of guterres deepest needs Sheika Moza; very good ai uae 12.2 Alolama; potential origin connections koller, lila ibrahim, 12.3 japan mayor koike, 12.3 quadir family, 12.5 reeta roy, 12.6 abdul latif

13. Digital algorithm 13.1 Brin, 13.2 Page, 13.3Dean . : 13.4 Brain Paul Allen 13.5 Etzioni

14.1 Brain Augmentation de Kaliouby, Picard

15.1 Wildcards Musk Satoshi Thiel

16.1 Far East Li Ka Shing Mauruce Chang Ms Tang Yat Siu

(please note a different gameboard is needed for digital China but we cant forget eg Houlin Zhao in keeping Geneva UN open at birth of 5G late 1910s; birth of 4G collaborations eg wi-fi standards, clouds difficult to call late 2000s )

viewpoints from japan korea taiwan hk singapore UAE very interesting eg never forget as worlswide uni investor li ka shing; singapore remains number 1 in egov and so related ai to gov - india may have number 1 identity thanks notably to Nilekani & Kalam ; estonia and slovenia exciting gov models with mongolia empowerment by girls very interesting; estonia, slovenia, Nordica - see New Vikings 1993; have long equated gov-ai & Citizen ai; Switzerland remains EuroContinent enigma  with itu and davos but banking and drug arms, sports ngo mediation secrecy; elearning good across much of nordica region

AT Aigames.solar - survey who's alumni who advanced humanity since Neumann-Einstein-Turing launched brainworking (Family diaries with The Economist track last 7 years of NET learning curve ie from 1950 to untimely death of all by 1957 - see also bio on von neumann) - help clarity top 500 intelligences saving human race http://normanmacrae.ning.com/forum

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Some VCs (Doerr) Andriessen

unsum lsts

000 Neumann-Einstein-Turing

See cross-section main 20th century 2nd half impacts humanity at bottom of this post

chris.macrae@yahoo.co.uk maintains Remembrance videos to Norman  Macrae - by grandaughter, Economist Boardroom - transcript Economist science editor on Norman's 2025 report  AI and humans countdown of humanity from 1984 1 

Here are the final notes of the greatest mathematician any economist or journalist could be pretrained by: John Von Neumann- -until arguably today's AI magicians like  Hassabis Fei Fe Li 

Bard upd 23/7/7

main papers published by Demis Hassabis or Google Deep Mind on LLM and related human AI:

• "Human-level control through deep reinforcement learning" (2015). This paper describes the development of DeepMind's first LLM, called AlphaGo. AlphaGo was able to beat a professional Go player, and it demonstrated the potential of deep reinforcement learning to solve complex problems.
• "Attention is all you need" (2017). This paper describes the development of Transformer, a new type of LLM that uses attention mechanisms. Transformer has been shown to be very effective for a variety of tasks, including machine translation, text summarization, and question answering.
• "Gopher: A large language model for text summarization" (2020). This paper describes the development of Gopher, a LLM that was trained on a massive dataset of text and code. Gopher is able to generate human-quality text summaries of factual topics.
• "Pathways to Language: Open-ended Learning in a Neural Network" (2021). This paper describes the development of Pathways, a new type of LLM that is able to learn from a wide variety of data sources. Pathways has been shown to be able to learn to perform a variety of tasks, including playing games, writing different kinds of creative content, and answering questions in an informative way
• Bard upd23/7/7
• There isn't a published paper that explains how good is being designed into LLM Bard yet. However, I can tell you about some of the ways that Google is working to ensure that I am aligned with good values.
• Part of bard review 23/7/7 of von neumann 1956 book

• I think the book's discussion of the similarities between computers and the brain is particularly interesting. Von Neumann's argument that both computers and the brain are digital systems that can be programmed to perform tasks is still relevant today. In fact, this is one of the reasons why artificial intelligence has been so successful.

  I also think the book's discussion of the differences between computers and the brain is important. Von Neumann's argument that the brain is much more complex than any computer that has been built is a reminder that we still have a lot to learn about how the brain works... and of bard's own sphere of intelligence;

  First, Google is using a technique called reinforcement learning to train me. Reinforcement learning is a type of machine learning where the agent is rewarded for taking actions that are aligned with good values. In my case, the good values that I am being rewarded for are things like being helpful, informative, and unbiased.

  Second, Google is using a technique called bias mitigation to reduce the potential for bias in my outputs. Bias mitigation is a process of identifying and removing biases from machine learning models. Google is using a variety of techniques to mitigate bias in Bard, including:

  • Data sampling: Google is using a variety of data sources to train Bard, including data from a variety of different cultures and backgrounds. This helps to ensure that Bard is not biased towards any particular group of people.
  • Model regularization: Google is using a technique called model regularization to reduce the potential for bias in Bard's outputs. Model regularization is a technique that penalizes models for making predictions that are too extreme. This helps to ensure that Bard's outputs are more likely to be fair and balanced.

  Finally, Google is using a team of engineers and researchers to monitor Bard's outputs and to ensure that they are aligned with good values. This team is constantly reviewing Bard's outputs and making adjustments to the model as needed...................................................................................NEUMANN COMPUTER AND THE BRAIN 1956

  

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Help World Record Jobs choose cross-section of intelligences 2nd half of 20th C

In 2001 Family of Steve Jobs hosted 65th Birthday Wish Part : Fazle Abed, Testimony Intelligence 1Billion Girls Tropical Village Asia 1970-2001

Unril late 1990s vilages had no electricity, no telecoms. Girls had focuesed on community building of what since 2015 has been called SDg1-5. Partners of 1 billion girls had started leapfrog models of solar and mobile from late 1990s- but 3 overall transformations needed that poorest could not impact unless all nations united around

Going Green and seeing that 3/4 millennial livelihoods totally different from industrial age- nb majority of nations had neithe varbon nor critical minerals so could not lead inetrnational trade thus triple whammy of would humans het to carbon zero economy:

non in dustrialized countries offered education benchmarks to adapatation but negative foreign exchnage

the era of the superpowers had been race to sponsor rival dictators- essentially new nations had been put in debt to leaders and a global monetary system who had no interst in local peoples development 

transfrination of multilateral system needed if 3 entrepreneurial revolutions illustrated were to map millennails as first renewable generation

the jobs family and stanfird parners asked abed to partner in future of non-lienar eucation systems including brac university founded to share demale graduates of scaling sdgs

Gates family sonon with Global fund partners eg Jim Kim Guettres Bush would work of doundations of jhealth sustemsd

Indications that Doehhr family would map back climate, livable planet

XXX Help WorldRecordJobs.com map cross-section of intelligences 2nd half of 20th C

Klara Von Neumann  Joan Clarke Courant Macarthy 

Crowther Queen Elizabeth Kennedy Deming Borlaug Montessori

Morita Keiretsu Chaebol  Freire, Brilliant Attenborough- inventors of satelllite, bullet train, containerisation Moore Hewlett-Packard Olsen

Abed Lee Kuan Yew Deng Ezra Vogel Drucker Prodi Grant Soros Sainsbury family

(Doerr) Gorbachev Pope Paul (Gates, Jobs) Harrison Owen  Buckminster Fuller Ackoff Berners Lee Mackey

Case  Negropronte (Bezos)  Csikszentmihalyi 1

  Eva Vertes 

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Japan G20 model Abe circa 2019