INTELLIGENCE-ED:-2025report welcome year75 Q&A: how does intelligence engineering of Von Neumann (Einsetin, Turing) change Keynesian economics of human deve?lopment (see also The Economist 1950-1990) 2024 Special thanks to friends in Taiwan & Bangladesh..About X**8billion-bis-Fall24 risks: Russian Roulette; SOS: Yunus Urgent Friends of Bangladesh WE (Women Empower) : Antonio Guterres, head UN; .. Poverty Museums- from co-blog to co-pilot ; 50000fans

Giant Leaps with Nvidia Q4, 2024: Summits: DC, Japan, India
Progress since 2021 (8) ai electricty gridsAI & Drug Discovery- COVID.

#@X.

USA East Intel calendar July Axios Sustainability; : Aug 29 Hopkins AI Health Sept 24 Nist:USgov ..$$Sept 26 Hopkins::MediaEco.

;RAC, St James, London 2008 :X:www.yunuscentre.org There are 2 kinds of Economist. Those who in their youth saw poverty or nations where wars halted people's freedom to work, learn, do, commune and those who graduated in economics with none of these experiences. https://www.journalofsocialbusiness.com/editorial-board.html https://www.youtube.com/@microeconomist/videos www.normanmacrae.net www.economistdiary.com Intelligence Year 75 of Digital Twin Survey with Von Neumann www.2025report.com www.unsummitfuture.com

90 day plan 1 -can Wash DC be turned into a pro-youth capital : 9 Aug, 555 Penn Avenue - what every DC journalist should know about AI
Plan 2 can worldwide youth and teachers support king charles english llm

Year15 YUNUS FAN CLUB -45K
ABEDmooc.com
IN SEARCH OF INTELLIGENCE, LOVE & ALL THAT MATTERS MOST TO GENERATING FAMILIES JOYFUL COMMUNITY & MOTHER NATURE
lINKS 1 2 Thanks to Jen-Hsun best decade AI collection- 8000 cases improving peoples communal computation, data & brains - 2025rEPORT.COM year 75 of Neumann & Economist briefings- : 4 JULY 2024 last 80 days of UNsummitfuture.com ECONOMISTDIARY.COM
chris.macrae@yahoo.co.uk

Thursday, December 30, 1971

foundations which do what for sustainainability

those with bigger than 2.5 bn $ d=funds according to wikipedia (nb charities different )

Wealthiest foundations / Donated amount[edit]

Rank	Organisation / Country / by individual	Country	Headquarters	Endowment(USD)	Endowment (home currency)	Founded / Donations	References
1	Bill & Melinda Gates Foundation	United States	Seattle, Washington	$40.3 billion		1994	^[2]
2	Wellcome Trust	United Kingdom	London	$27.1 billion	£20.9 billion (GBP)	1936	^[3]
3	Howard Hughes Medical Institute	United States	Chevy Chase, Maryland	$17.8 billion		1953	^[4]
4	Garfield Weston Foundation	United Kingdom	London	$15.7 billion	£12.7 billion (GBP)	1958	^[5]
5	Stichting INGKA Foundation	Netherlands	Leiden	$12.7 billion	€12.1 billion (EUR)	1982	^[6]
6	Ford Foundation	United States	New York City, New York	$11.7 billion		1936	^[7]
7	Kamehameha Schools	United States	Honolulu, Hawaii	$10.6 billion		1887	^[8]
8	Al Maktoum Foundation	United Arab Emirates	Dubai	$10.08 billion	37 billion د.إ (AED)	2007	^[9]
9	Lilly Endowment	United States	Indianapolis, Indiana	$10.07 billion		1937	^[10]
10	Azim Premji Foundation	India	Bangalore	$9.8 billion		2001	^[11]
11	Robert Wood Johnson Foundation	United States	Princeton, New Jersey	$9.7 billion		1972	^[12]
12	William and Flora Hewlett Foundation	United States	Menlo Park, California	$8.74 billion		1967	^[13]
13	W. K. Kellogg Foundation Trust	United States	Battle Creek, Michigan	$8.72 billion		1930	^[14]
14	J. Paul Getty Trust	United States	Los Angeles, California	$8.68 billion		1982	^[15]
15	Li Ka Shing Foundation	Hong Kong	Hong Kong	$8.3 billion	$64.4 billion (HKD)	1980	^[16]
16	The Church Commissioners for England	United Kingdom	London	$7.5 billion	£6.1 billion (GBP)	1948	^[17]
17	The MasterCard Foundation	Canada	Toronto	$7.1 billion		2006	^[18]
18	Robert Bosch Foundation	Germany	Stuttgart	$5.5 billion	€5.3 billion (EUR)	1964	^[19]
19	Gordon and Betty Moore Foundation	United States	Palo Alto, California	$6.4 billion		2000	^[20]
20	David and Lucile Packard Foundation	United States	Los Altos, California	$6.3 billion		1964	^[20]
21	Andrew W. Mellon Foundation	United States	New York City, New York	$6.18 billion		1969	^[20]
22	John D. and Catherine T. MacArthur Foundation	United States	Chicago, Illinois	$6.0 billion		1975	^[20]
23	The Pew Charitable Trusts	United States	Philadelphia, Pennsylvania	$5.6 billion		1948	^[21]
24	Silicon Valley Community Foundation	United States	San Jose, California	$4.7 billion		2007	^[20]
25	Nemours Foundation	United States	Jacksonville, Florida	$4.6 billion		1936	^[22]
26	Bloomberg Philanthropies	United States	New York, New York	$4.24 billion		2004	^[20]
27	The Leona M. and Harry B. Helmsley Charitable Trust	United States	New York City, New York	$5.548 billion		1999	^[20]^[23]
28	Sulaiman Abdul Aziz Al Rajhi	Saudi Arabia	Jeddah	$3.85 billion	14.43 billion (SAR)	2011	[B]
29	Tulsa Community Foundation	United States	Tulsa, Oklahoma	$3.8 billion		1998	^[20]
30	Rockefeller Foundation	United States	New York City, New York	$3.7 billion		1913	^[20]
31	The Kresge Foundation	United States	Troy, Michigan	$3.6 billion		1924	^[20]
32	Knut and Alice Wallenberg Foundation	Sweden	Stockholm	$3.60 billion	kr 32.7 billion (SEK)	1917	^[24]
33	California Health Care Foundation	United States	Los Angeles	$3.56 billion		1996	^[20]
34	The Duke Endowment	United States	Charlotte, North Carolina	$3.37 billion		1924	^[20]
35	Realdania	Denmark	Copenhagen	$2.9 billion	€2.8 billion (EUR)	2000	^[25]
36	Calouste Gulbenkian Foundation	Portugal	Lisbon	$2.9 billion	€2.8 billion (EUR)	1956	^[26]
37	Simons Foundation

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)

From 2015's intellignce goals launch by UN, Nvidia has been setting standard of partnerships worthy of millennials livlihooods-happ2024 from Jensen Huang

Nvidia's learning curve started 1993: Deep Learning33rd year accelerated computing Routes to
IDOL Intelligence Deep Open Learning

JensenH Route 1 weather alerts preventing disasters<>smart grids<>gov2.0 as engineers of energy, first response, health, education, sports-mental health, biotech, infrastucture, communal commerce, safety not as gov1<>Democratise coding and regional data sovereignty/
BobPette Route1.1 2g
Climate AI
digital twins<>Earth2.0<>CeoSpatialAI
HelenaFu Route E2g
NISTRoute2Sg
Fei-Fei LiRoute2 MachineVision<>Robotics<>Democratise coding<>Ai4all.org<>NAIRR NSF
StanfordHAI<>Worldlabs.ai<>WomensLift
WendyTWhiteRoute2.1 Intrinsic RobotsAIGoogle; wife King Charles AI envoy<>Family Myanmar
DHassabisRoute3 DeepMindScience Ai<>250millionproteinAlphafold3<>Bitech Isomorphics
ANgRoute4 OpenRoute5.1JBezosRoute5: Largest GTU user;Amazon; Bezos EarthFund
BloombergHopkinsRoute6 100AI&Profs<>Top100 Sustainable Mayors
Doerr&JobsFamilyRoute7 Va'lleyLeaders@40+<>Environment first new Stanford School in 70 years
AxiosRoute8
ITIFRoute9
PriscillaCZIRoute10Female led meta-philantropy
MelindaGatesRoute10.1-

8 billion intelligence fans remember
September @susanwojcicki ex ceo youtube; last gig @planet

intelligence world's leading panels - CA DC UN'-SummitFuture NY

Gamma3 world I see with FFLi: Ms Condoleeza Rice, ..Melinda Gates...Jennifer Doudna, , Audrey Cheng ...:: Mr Ed Catmuti, Antonio Guterres, Hassabis, Hoffman Reid, Pichai ...
BetaAfrica 1 Mandela, Maathai, Roy, Kirrane
Alpha2food- borlaug, longpin, abed, chandler
Gamma2 AICancer/drug discovery Vertes Bosselut, Curtis, Fei-Fei LI, Hassabis - see also June 2023 Welcome pdf
Alpha4HealthDeepIntel Paulo Freire, Fazle Abed, Martha Chen & Family, James Grant, Paul Farmer, George Soros, JYKim, Antonio Guterres. Melinda Gates. Lila Ibrahim
Human AI valley Gamma317: Etchemendy, Brin, Pichai, Page
Gamma4 Mustafa Suleyman,, Jeff Dean, Ilya Sutskever, Timnit Gebru: Bard was kind enough to review AI Game and to add these additional nominations
α20 Drucker Schwab Guterres Abe -and back Ackoff Simon Owen Soros Attenborough Neumann Einstein Orwell

Gamma3 Human AI Valley: Etchemendy, Pichai, Brin, Page

from AIGOODmedia.com :world's most valuable meeting in 60 years or ever!- not since JFKennedy, world leaders asked platform solutions from humanity's top 3 engineers

1 Change Media: The first tele age began in 1865 with Switerland’s ITU apponted to cooperatively mediate coms standard across nations first of telegrams then telephones , radio; telexes .. we know that tele1 ‘s 80 years to 1945 did not go well ending with 2 wotld wars – it was therefore important to design tele2 , web1 and web 2 eras in ways that maximised win-win cooperation--- missed opportunities include around 2000 from tele2 to web1 research.; this hasn’t happened and leaves in 2020s us with the ultimate challenge of getting web 3 good for millennials to be the SDG generation- can blockchain help? Can various gaming and metaverse tools help? can all of these interconnect education and ai for good- see also UN2 Global Connectivity My 50 journeys to Asia began with Unilever project Indonesia 1982; the greatest privilege of my life being invited by Japan Ambassador to bangladesh to start what became 16 journeys to bangladesh in remembrance of my father Norman's joy of human development - see Abedmooc.com and beingAi.com- join our next journey chris.macrae@yahoo.co.uk	Change Education; Back in 1981 - co-authored 2025report-: my family and The Economist were now benefiting from 30 years experiential learning of linking Von Neumann inspired surveys; this led us to believe digital humans (web1 from 1990, web2 from 2005 ) most important innovation would be skills dashboard and personal trainer for every being; we could not imagine that in 2023 a uni in my fav city NY would stop students from playing with first 100 million dollar brain-may you all be free again soon- meanwhile clues of what your brainpower is missing are at ai.gov or mingle with 6000 educators who love your future most: NY based ED3dao.com	3 Design Good AI	4 Training every places' next decades Maths Goats and assign to nature's deepest data searches and open sources	5 Transform gov to servant leadership -how many different professions hippocratic oaths will you need to update to achieve this/	6 work out behavioral change (subcomscious as well as conscious mindset frames if inter-generation of 8 billion beings to valuetrue interact rights beyond borders and inclusion within, as well as future's most urgent new sustainability puzzles
7 recursion of womens/parents kindness in every way this community flow celebrates what short-term monetisation cannot Leaders of womensAI and SD generation include Fei-Fei Li (UN started aiforgood summits from 2018; AI4All;major cordinator of USA year 1 briefing ai.gov in 2023; Jeanne Lim first to help UN celebrate UN humanoid sophia as SDGs connectr 2017; at beingai.com first to ask how womens AI avatar celebrations and web3 can launch each other & Mongolia’s founder of Girlstech from late 2022 – joint host of Mongilian and Un tech envoy summit 2022 in terms of deep research that chnaged AI Fei-Fei Li has few equals- here’s what chatgpt say about her up to 2105 Fei-Fei Li made significant contributions to the field of computer vision, which helped to advance AI during the period between 2000 and 2015 with the creation of ImageNet, a large-scale visual database for machine learning research. The ImageNet project provided a massive amount of data for training computer vision models, and its release in 2009 was a major turning point in the development of deep learning and convolutional neural networks. The availability of large amounts of annotated data allowed researchers to build more accurate and efficient computer vision models, and this helped to spur progress in other areas of AI, such as natural language processing and robotics. Fei-Fei Li also worked on developing new techniques for machine learning, particularly in the area of unsupervised learning. Her work on unsupervised feature learning, which aims to automatically learn representations of data without human supervision, helped to advance the development of deep learning techniques and made it possible to train models on large amounts of unstructured data. ,other researchers such as Geoffrey Hinton, Yann LeCun, and Yoshua Bengio and Demis Hassabis with his team at DeepMind also made major contributions to the development of deep learning and other AI techniques. In addition, the contributions of industry giants like Google, Microsoft, and IBM, who invested heavily in AI research and development during this period, also played a significant role in driving the advancement of AI.

Keynes last lesson - no economist can compound more than 1 purpose
- corollary as seconded by climate czar kerry at davosagenda.com jan 2021-at glasgow cop26 lets demand any corporate leader maps purpose of leading market sector
- The 21st c Economist alphabet of purposes :
AI Bank Diary Food Green Health ...

probably the 2 most human arguments my father (norman macrae) made in sub-editing over 2000 leaders in the economist for most of the second half of the 20th century

-1) health builds sustainable economies not vice versa- two trillion dollar debates on health most concerning father:

in least developing countries, nothing is more important to a place's future than raising average life expectancy from 40s to 60s; what matters is a country's opportunity to develop round 40 years of productive life instead of 20; the average life expectancy of least developed countries hides the amount of focus needed on child and maternal health;

2) how tech and particularly von neumans ai impacts health will determine species survival or extinction- this is an exponential challenge - by 2025 or 2030 at the outside we will likely know if mother earth still values our species

what diary events in 2021 do you recommend interacting in 2021 to progress the human lot?

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

worldrecordjobs.com asks: has any american has been loved as much worldwide as james grant? he valued poorest children -their health, their freedom/communities to grow up safe and happily curious- everywhere -especially where huge youth populations were struggling with poverty's chains - making unicef a solutions branch perhaps unlike any un branch before or since

my personal opinion -year 37 of argument co-authored with dad the economist's norman macrae in 1984- is when national politicians get in way of future of children - our species survival is put exponentially at risk even faster than what we do to climate but happy to learn from those with alternative valuation hypotheses chris.macrae@yahoo.co.uk

of course in these exciting 2020s, valuation priorities are tied up with how fast tech is redesigning what is humanly and what is artificially operated real time - changing what government is or isnt free to do- a reason why we want to see what teachers of every age group actually understand about ai - when education misses out a whole curriculum its both a teaching and learning crisis - the biggest loser being the younger half of the world

grant references include - unicef annual report year grant died

promises kept - testimonies by grant alumni / south asia

the first 2 saarc summits convened in bangladesh and delhi appear seminal- unfortunately there seem to be few open source proceedings of these conferences - if you find any let us know chris.macrae@yahoo.co.uk

GOOD NEWS FOR TRUE MEDIA

Should we dare to listen to asia’s poorest women as well as animal kingdomspecies traced by the bbc’s david attenborough, the good news is the hard work over the last half century by the world’s poorest women reveals segmentation of market purposes that any community dependent on last mile services adapt. Mental adaptation needed to celebrate tech of worldwide connectivity involves mediating loving societal awareness; analytic adaptation involves transparently clarifying what data is supplied for machine intel not just to crunch but to turn into real-time public service platforms- the great innovation and goowill multiplication challenge of the 2020s.

Market segmentation – rehearsed at fazle abed roundtable briefings on coalition of girls-sdg new universities

Safe & Resilient Community

Barefoot rights lawyers, and professionals concerned with 4 market sectors most related to goal 1 poverty, 2 hunger, 3 health, 4 education

Community-resilient coalitions -maximising communities skills for disaster preparedness and relief

Training of future public servants aligned to deep data of the least sustainable families wherever ai platforms operate real time public services- the species defining challenge of the 2020s in humanising AI

Last mile Health service markets

· *Basic life-critical knowhow -eg non-prescription drugs and clean water/oral rehydration

· *Infectious diseases

· *Chronic diseases

*Surgery caused by violent accident

*Mental -wellness diseases – often initiated by abuse or societal neglect

Lifelong livelihood/skills education

College education

Teenage education including different bridges to career -eg college is different from apprentice

Primary education

Pre-school

Agriculture (goal 2 )

Food security to end famine and/or obesity

Water and food positively energizing human body not contaminated by waste or energy needed for machines

Land and ocean connections with green needs if earth to support 10 billion instead of eg 1.5 billion – the usa ecology of land etc use

Finance -what we know is these 6 financial systems are needed to end poverty of billion poorest women of 20^th century

*Double loop reformation of global aid industry round microfranchise (social business) when value chains can be redesigned round those previously most left out of infrastructure etc- and grants that directly transfer life critical capacity locally

*Ultra grant to graduate to savings and loans for poorest

*Savings and loans for poorest allied to value chain design integrating smallest local enterprises with least infrastructure

*Small enterprise banking for next generation who move from village to city

*Remittance banking

*Digital banking prioritised for the unbanked or underbanked

The 1960s moon race decade may have seemed like the most exciting time to be alive with its giant leap for mankind. The communications reality of all who mediate needs to be the 2020s celebrated multiple ground level leaps forward round mother earth: post-covid, towards green, around all lives matter- this requires education and health revolutions connecting every community way beyond the capability of zero-sum monetary games. Fortunately, the 4^th industrial revolution offers a just-in-time escape route from oblivion – humanising artificial brains to operate real-time platforms which in turn depends on transparent mapping of data – bottom up and open- because those are nature’s evolutionary accounting rules

@obamauni

@obamauni’s Moments

mace

what if educators not economists determine species growth or extinction

zoomuni.net

macrae

Sep 12, 2020

economistsports.net

macrae

Jan 29, 2020

economistwomen.com

macrae

Jul 24, 2020

tourshare

macrae

Oct 29, 2019

Human AI

macrae

May 15, 2020

asian entrepreneur

macrae

Feb 29, 2020

corona curricula

x an open letter to hosts of education laureates from authors of 1984's 2025report.com

we have attended some of your prize givings and nothing inspires us like those who free children with education

but our opinion in 2020s : it's impossible to live up to the legacy of those who valued children most like james grant or fazle abed- with prizes that only single out one person's team and one age range of education- of course these are inspiring but they cant flow the whole transformation of education on which sustainability will depend

one classic example of chatting to fazle abed- moocs had just arrived at the world bank around 2013 when jim kim was in charge

abed teasingly said

i get Massive - i like scaling solutions

i get Open - nobody should ever patent a life critical solution - a note my family found in von neumanns diaries when writing his biography

i get Online

but why isnt C for collaboration?

there are so many missing action skills/curricula of 2020s-and if the younger half of the world is to make transformations to health, green and education they will need network collaboration more than individual brilliance - whether its mapping how to vaccinate everyone or humanising artificial intelligence for good

towards lifelong teaching and studying

in our opinion, teachers of any age group urgently need to be freed to be curious about tech and ai- how can the age group they teach be excited about using tech to be the first sdg generation if the teachers are neither excited nor exploring whats next with #aiforgood - if instead youth are being chained to historic standard exams

moreover the most valuable skills any 19 year old can learn are now changing every 4 years; since 2015 there has been more new local data worldwide than the whole of history- how computers turn that into operational platforms will depend on what 19 year olds are free to do/connect in 2020s far more than siloised expert olders

fazle's main answer to 2020s as ultimate sdg decade, which he discussed with most asian ambassadors in his final years eg twice at dinner tables kindly hosted by japan ambassador in remembrance of my father- find at least one new university per country- make a coalition- share all courses- don't put community-engaged students in debt- start getting ai to digitally identify each students own proven digital skillsets -

- if as kerry said at innovating economics to sustain net generation goodhubsguide.com since 2006 last glasgow may be humanity's last best chance to go green - isnt it also the last best chance to free children from over-siloised education? to massively transfer knowhow for last mile services health and smart and culturally inclusive

sincerely

chris macrae

EconomistDiary.com thanks alibrac.com 1BillionGirls.com washington dc + 1 240 316 8157

ps the home capital of 5 generations of my diaspora scot family is glasgow whose university was also abed's alma mater and the start of the machine age 260 years ago- if you have any challenges or celebrations to share during glasgow cop26 we'd love to help maximise celebrating yidan prize winners or searching for nominations 2022