.wmy wouldn't everywhere use geomatch HumanAI liveliood refugees -related AIverygood KC3.dev, worldclassLLM, EconomistWomen.com, AIverygood
Play AI.Games ---Architect Intelligence your brain needs most : update with AI gamma beta alpha tours;
help compile each year's AIverygood.com
"Worlds" published by Melinda Gates- Moment of Lift with Flatiron Books, original nonfiction by visionaries AISdgs 5 : working to unlock a more equal world for women and girls
advanced stuff value expsai.com 33 years of ignoring valuetrue exp maths is a shame- will 23-24 be the year that ai maths is used to correctly map sustainability features - exponential not linear; multiplicative not ad; at its most natural borderless not siloised by fake media or false competition

Thursday, December 31, 1970

 External Members:

  • Professor Yoshua Bengio, A.M. Turing Award, Scientific Director of Mila — Quebec AI Institute, Full Professor, Department of Computer Science and Operations Research, Université de Montréal
  • Professor Sandra Díaz, Senior Principal Investigator CONICET and Professor of Ecology Universidad Nacional de Córdoba, Argentina
  • Professor Saleemul Huq, Director International Centre for Climate Change and Development, Independent University Bangladesh
  • Professor Fei-Fei Li, Sequoia Professor of Computer Science, Stanford University; Denning Family Co-Director, Stanford Institute for Human-Centered AI, Stanford University
  • Professor Alan Lightman, Professor of the Practice of the Humanities, Massachusetts Institute of Technology
  • Professor Thuli Madonsela, Professor of Law, Stellenbosch University
  • Professor Thomas C. Südhof, Nobel Laureate, Professor, Department of Molecular and Cellular Physiology, Stanford University School of Medicine

United Nations Members:

  • Chief Scientists from the Food and Agriculture Organization (FAO), United Nations Environment Programme (UNEP), United Nations Educational, Scientific and Cultural Organization (UNESCO), World Health Organization (WHO), and World Meteorological Organization (WMO)
  • Secretary-General’s Envoy on Technology
  • Rector, United Nations University
help welcomed in updating these 4 columns - chris.macrae@yahoo.co.uk 
Architects Intel: Top human recommendation from AI Games tagged by UN SDGs... eg 5 women 4 ed, 3 health, 2 feed, 1 financial platforms end poverty
5womensai by women
West Coast
Fei-Fei Li  +4,3
Melinda Gates  +3
Priscilla Chan  +3
Condoleezza Rice 
Jennifer Dowds 3
Mrs Tsai 3 4 
Mrs Tandon 4
San Dieg
Zaa Marselian 4
Lila Ibrahim 
Keju Jin
Sheika Moza 4 3
Reeta Roy
Sunita Gandhi
5  ai4all men
Page & Brin
Andrew Ng
Jerry Yang
Steve Jobs
Linus Torvaulds
Fazle Abed all goals
Antonio Guterres all goals
4 education 
Charles Yidan\
Paulo Freire
Gordon Dryden
3 Health
Jim Kim
Larry Brilliant
2 Food
1 End poverty
quadir family
abdul latif
Harrison Owen
Peter Drucker
Green Truths
WEangaari Maathai
Neville Williams
Buckminster Fuller

Lee Kuan Yew
Li Ka Shing
Ezra Vogel
Chang & Chang

Origins of 100 times more
George Orwell
Bullet Trais
Satellite Telecoms

With November's publication of the Worlds I See, we expect to add many more world class open AI curricula - here are some for starters thanks to inspiration of Fei-Fei Li, Stanford and AI4all first funded by Melinda Gates and CEO of Nvidia from 2017 doe these action learning freedoms 

AI &
AI & Art 
AI & Dance:

curriculum resources

 Neural Networks part 1; part 2 & transformers

\Generative Adversarial networks,  

  Convolutional NN

curricula for taking responsibility to never do bad with tech

Ethics  versus Deep Fakes

Facial Recognition

Play the AIGames 
to find out who's human intel is on under 30's side.

2 viewpoints on what personalised livelihood/lifelong learning could look like as for 73 years since EconomistDiary and friends have been inspired to celebrate surveys inspired by von neumann - this has been hypothesised as likely to explain sustainability or extinction
As of ! Sept 2023 Bard says: Personalised learning and skills ownership by humans could look like many things in the future, but some possibilities include:
  • Learning that is tailored to the individual's interests, learning style, and skills. This could be done using AI-powered learning platforms that can track students' progress and recommend personalized learning activities.
  • Learning that is embedded in real-world experiences. This could involve students learning by doing, such as through internships, apprenticeships, or service learning.
  • Learning that is collaborative and social. This could involve students working together on projects, sharing ideas, and giving and receiving feedback.
  • Learning that is lifelong and ongoing. This could involve students continuously learning new skills and knowledge, regardless of their age or stage in life.
  • Learning that is owned by the learner. This could involve students taking responsibility for their own learning, setting their own goals, and choosing their own learning activities.

If education were designed around maximizing each human's experiential and cooperative lifelong/livelihood learning, it would likely involve the following elements:

  • A focus on experiential learning. This would involve students learning by doing, through hands-on experiences, internships, apprenticeships, and service learning.
  • A focus on collaboration and teamwork. This would involve students working together on projects, sharing ideas, and giving and receiving feedback.
  • A focus on lifelong learning. This would involve students continuously learning new skills and knowledge, regardless of their age or stage in life.
  • A focus on student ownership of learning. This would involve students taking responsibility for their own learning, setting their own goals, and choosing their own learning activities.
  • A focus on diversity and inclusion. This would involve ensuring that all students have access to high-quality education, regardless of their background or circumstances.

These are just a few possibilities for what personalized learning and skills ownership by humans could look like in the future. It is important to remember that education is a complex and ever-evolving field, and there is no one-size-fits-all solution. The best way to design education for the future is to continue to innovate and experiment, and to listen to the needs of students and educators.

list of 20 connecting technologies - when i went to school in the 1960s the best brain tool was the slide ruler- we have come a long way since then and humansai may best be viewed as recipe making with all sorts of intelligence and humanly conscious tools
as of 1 September 2023 Bard says: here are 20 fast-changing technologies that good AI works with:
  1. Blockchain: A distributed ledger technology that allows secure, transparent, and tamper-proof transactions. AI can be used to improve the efficiency and security of blockchain applications.
  2. Quantum computing: A type of computing that uses quantum mechanics to perform calculations that are exponentially faster than traditional computers. AI can be used to develop new quantum algorithms and applications.
  3. Internet of Things (IoT): A network of physical objects that are embedded with sensors and software that allows them to collect and exchange data. AI can be used to analyze IoT data to improve efficiency, safety, and security.
  4. 5G: The fifth generation of cellular network technology that offers faster speeds, lower latency, and increased capacity. AI can be used to optimize 5G networks and develop new applications for 5G.
  5. Robotics: The field of engineering that deals with the design, construction, operation, and application of robots. AI can be used to make robots more intelligent and autonomous.
  6. Augmented reality (AR): A technology that superimposes a computer-generated image on a user's view of the real world. AI can be used to create more realistic and immersive AR experiences.
  7. Virtual reality (VR): A technology that creates a simulated environment that can be experienced by the user. AI can be used to create more realistic and engaging VR experiences.
  8. Natural language processing (NLP): A field of computer science that deals with the interaction between computers and human (natural) languages. AI can be used to develop NLP models that can understand and generate human language.
  9. Machine learning (ML): A type of AI that allows computers to learn without being explicitly programmed. ML is used in a wide variety of applications, including image recognition, natural language processing, and fraud detection.
  10. Deep learning: A type of machine learning that uses artificial neural networks to learn from data. Deep learning is used in a wide variety of applications, including image recognition, natural language processing, and speech recognition.
  11. Computer vision: A field of computer science that deals with the extraction of information from digital images or videos. AI can be used to develop computer vision algorithms that can identify objects, track motion, and recognize faces.
  12. Speech recognition: A technology that allows computers to understand human speech. AI can be used to develop speech recognition systems that can transcribe audio recordings into text.
  13. Generative adversarial networks (GANs): A type of machine learning model that can generate realistic and creative content. GANs are used in a variety of applications, including image generation, text generation, and music generation.
  14. Self-driving cars: Cars that are capable of driving themselves without human intervention. AI is used to develop the sensors, software, and algorithms that allow self-driving cars to navigate the world safely and efficiently.
  15. Personalized medicine: The use of AI to develop treatments that are tailored to the individual patient. AI is used to analyze patient data to identify patterns and risks, and to develop personalized treatment plans.
  16. Climate change mitigation: The use of AI to reduce greenhouse gas emissions and mitigate the effects of climate change. AI is used to develop new technologies, optimize existing processes, and make better decisions about resource allocation.
  17. Artificial general intelligence (AGI): A hypothetical type of AI that would have the ability to understand and reason like a human being. AGI is still a long way off, but it is one of the most promising and controversial areas of AI research.
  18. Ethics of AI: The study of the ethical implications of AI. This is a rapidly growing field, as AI becomes more and more powerful.
  19. Regulating AI: The development of laws and regulations to govern the development and use of AI. This is a complex and challenging task, as AI is a rapidly evolving technology.
  20. Security of AI: The protection of AI systems from cyberattacks. This is a critical issue, as AI systems could be used to launch cyberattacks or to spread disinformation.
.....................................adam smith's biggest idea- what if we go west of scotland/iceland happily exploring the benefits machines can bring to man- declare an interdepedence uniting states that speak english- by all means this could be headquartered out of philadelphia under one condition- slavery is not just repealed but everywhere compensates business owners whose model depends on slavery or low cost labour and redesigns business models around all lives matter- this machines and humans could spread from celtic islands dow nova scotia bew england, boston and new ireland, new neth=erlands and new york, philidephia down the east atlantic coast across to the south coast and louisana purchase north through the hearland to the great lakes west to what became americas most innovative state california and the west pacific cast- across to asia where two thirs of humans lived trapped mainly in the english empire system- just imagine if all livesmatter had linked in places around the world at the same times as machines and grids connecting infrastructure from electricity to telecoms to digital technologies - is there anyway nations can unite round sustaining children everywhere if the 2020s fails to celebrate the boundless belief in human goodwill that adam's maps of conecting we the peoples sought to celebrate

CLASS -rsvp

2015 Walter Johnson High- Isabella

we second jim kim's motion - why shouldnt millennials be most educated, connected, socially collaborative human race

however there are lots of failing systems around? eg at 2013 nobel peac summit said my elders at Gadansk would have killed me if they had known what i was doing - you see 95% of trade of dghask was with moscow- so my docekers were going to be out of work- but sometimes for youth to progess elders need to sacrifice their systems which are broken anyohow- fortuanltely for me john paul took up the cause of poland for its future generations

can you help us list them
most jobs will no longer come from passing exams

banks that either trap you in debt or in speculating on property are the bigegst enemy of investing in learning economy and sustainability

its impossible for teachers and government workers who have the bets pensions in a nation to understand how much that is being bailed out by the next generation in any nation where there are more elders than youth

investing in peace isnt the same as arms races any more- thiose education poeerrs that be who do not encoyrage etaching every kind of cultural exchnage should be booted out yesrterday

the sky rocketing socts to students of us universities is part of the biggest disinvestmant any parental generation has ever made in its children- what peculiar is how most parnets know a places futire depends on ibvesting in youth but the big institutions that represent us the peoples now spin exactly opposite consequences
Pre 2010 questioning frind of muhammad yunus and bankers for poor and mobile partners of women4empowerment

here is some of our old sidebar

a href="https://www.linkedin.com/pulse/americathanks-bidenunicom-chris-macrae/">sad fall 2021
HAPPY EASTER 2021 - join in 60th annual debate started by jf kennedy on what can english speaking worl learn from japan and asia rising
YOURS ai chis.macrae@yahoo.co.uk wash dc glasgow

No alt text provided for this image

we share the concern of futureoflife.org - technology has accelerated to the stage where life could thrive everywhere at the same time or self destruct-those expert in computing tell us this race began in 2 labs 1959 mit, 2 years later at stanford - 60 yars of neither party in dc understanding this race is quite sad

.let's see if it is possible to transform washington dc after nov 4 back to the high spirited days when people believed if americans could land in the moon, the no mission would be worldwide impossible for youth networks of the new machine intel age -what my dad norman macrae journalised as telecommuting and entrepreneurial revolution at the economist
our 1984 book the 2025 report fotecast 3 languages would be essential for 21st c children to design a sdg world in which 7.5+ billion lives mattered
mother tongue
english or chinese- most of the world's science being originally published in english but most needed for the fifth of the world who are chinese to develop up to at least a third of the income of an american by 2025; we also predicted that by 2025 artificial intel would start to translate languages so the first two mattered most coding and mother tongue to mother natures diversity; it would probably become less valuable to study a second language unless you did up to mother tongue levels- tose speaking 2 mother tongues would make the millennial worlds most joyful cultural ambassadors and e-marketers because loving 2 peoples is the gateway to loving many peoples.
here is a sneak example of the type of community we hope will beam down hope to dc -we are firstly looking at american intl schools where students are bilingual and interested in coding -can the dreams of the sdg generation everywhere rise as we go post covid? why not if we celebrate such brilliant humansai labs as stanford's here, or projects like that below which silicon valley's singularity u gravitates from optimistic students and teachers the world wide?

a few questions
does it let you see the conversation on ai-artificial intel - for agriculture sdgs or does it require you to join the community?

if it requires joining - this is free, takes about 10 minutes but is worth at least one associate tech member joining imo as well as students concerned with humanising ai as the most urgent sdg related tool any youthful entrepreneur can connect scale round as we race post covid and hopefully out of trump bullying

this is a community group around singularity uni at mountain view which is run by the founder of xprize who is also sponsoring various projects at the un/itu #aiforgood - those of us who admired the free university work of taddy blecher out of s africa may wish to know singularity is now his main global platform

there are several latin am people currently active in this community- bookmark above clicks to the sort of text footnoted on a project in colombia- while i am not sure if this project has an evident win-win with your work , i do strongly ask friends at spanish or latin culture speaking american universities to form a friendship with someone in colombia which many people are saying is becoming smartest at helping youth connect good ai around the world- that might be an over generalisation but colombia's current president is helping lead ai and recently bogota became the first hub in latin america to be linked to world economic forum industrial revolution 4 which is one of the fastest moving parts of weforum during covid era- also over at the lse, ana torres the colombian who joined the organisation of american states in dc 10 years ago to hub continent wide youth entrepreneur competitions now hosts the extraordinary youth entrepreneur world cup which handled 100000 serious entries during the first covid annual competition https://platform.entrepreneurshipworldcup.com/display/EV

i am linkedin to the board level organiser of ai at world economic forum if we can think of the right sort of question to converse with her

chris macrae +1 240 316 8157 launching new washington dc from nov 4 DC2021.com
footnote singularity members mail introducing colombia ai for agri

For this week’s Impact Spotlight, I would like to highlight the work of Carlos Castellanos and Cultivando Futuro SAS.

Carlos joins us from Bogota, Colombia where he is the co-founder and COO of Cultivando Futuro SAS, an organization that is mapping the farming and agricultural sector in Colombia.

Carlos, along with his two co-founders, have been working on the project for seven years. Carlos attended our Singularity University GSP program in 2015 on a scholarship supported by Socialab through a Global Impact Challenge.

Cultivando Futuro has mapped over 3200 farmers in Colombia. This includes not only mapping the location of the farms and the produce they grow, but information about the farmers themselves, such as how many family members they support to the infrastructure and services they have on their farms (ranging from everything from access to irrigation piping to toilets to financial services to smartphones.)

All of this information is aggregated into visual dashboards, where in a few minutes, the viewer can have an understanding of the challenges and opportunities of the rural communities that are mapped.

The data on the Dashboards can be used in a number of ways, from connecting farmers to the people who will buy their produce, to helping the government understand how to make policy decisions that will support farmers, to helping farmers access services. Cultivando Futuro is currently supporting the Ministry of Agriculture of Colombia with their data and is formulating a project with the International Center for Tropical Agriculture (CIAT) to help farmers decide what they should plant and when, using AI voice recognition technology applied to phone calls.

Most recently, during the pandemic, they have also been able to publish information on when certain farmers will have produce ready, including specific amounts and at specific times. This helps with managing the overall food supply chain in Colombia during this time of uncertainty.

Earlier this week I caught up with Carlos over a video call to learn more about his work.

When I asked him about the major challenges he has faced, he mentioned one of them was simply the amount of time and years it has taken them to become a technology team that is also an expert in agriculture. For example, in order to gain insights about how data and communication tools could promote fair trade in developing countries where a conventional marketplace doesn’t guarantee successful transactions, they set up their own agricultural warehouse to understand how technology could help.

Another challenge is that because Cultivando Futuro is one of the first groups to digitize agricultural information in Colombia, there are so many different uses for the data it is hard to know where to start. It can be challenging to figure out which services they pursue first, or if they should try to build several at the same time. This also relates to which business model they hone in on.

In addition, Carlos also mentioned that it is challenging to help people understand how once they have the data, it can not only be used in many different ways, but is building a foundation for many future uses of the data. For example once the data is in place, one can also work with artificial intelligence, drones, sensors and Iot technologies. Carlos and his team face the constant challenges of trying to help farmers address their immediate needs, but also think about what they are building for the future. (In my experience, this is actually a common challenge for many SU alumni and community members as the nature of exponential technologies is disruptive - it changes how the world works on multiple levels and across multiple industries, and, over time.)

In addition to his work with Cultivando Futuro, Carlos also tries to help others. As we were wrapping up our call, Carlos was preparing to hop on another call as a mentor to young people working on agtech innovations in Indonesia. He does this through his role as an Ambassador with the Thought For Food Community. He said that mentoring goes both ways - although he is a mentor he also learns a great deal - and that it is interesting for him to talk to agtech innovators in other countries as it also helps him think about common principles and how Cultivando Futuro might scale their platform globally in the future.

I asked Carlos how this community could help him and he mentioned that he is seeking both agtech mentors and technology mentors (especially developers) and that they are also seeking grants and alliances to be able to experiment with building new functions on their platform.

Carlos recently joined our community, and you can connect directly with him here or in the comments section.


diary from 11/3/2020

IN 24 HOURS: Join us tomorrow at 11a EST as the GZERO team and special guests talk through "What Just Happened" in the US election.

Bookmark this link to watch live: gzeromedia.com/gzerolive

Decision 2020: What Just Happened? Wednesday, November 4, 11a EST/8a PST


DC diary before 11/3/2020
blog 1661.w0rld
file note summer 2020 when you take into account biden's age it now looks odds on kamala harris will be first woman president before jan 2025
- what notes can we make 1 on roots of president harris

happiness' greatest english language speaker of 2020 ... more
- in 1760s adam smith became the epicentre for mediating 3 of the most impactful questions on human development (ie livesmatter) which may also determine whether we the peoples apply the 2020s to sustaining or ending our species by 2100-see un sdgs
1 how will machines be shared around the world-smith's colleague at glasgow u had become world's first engineer
2 what conditions determine whether markets compound goodwill or badwill
3 what system faults in english education system need transformation if lives are to matter everywhere
smith was in the right time and place to debate these emerging systems versus others he studied including nature and health, languages cultures and faiths as ethical systems because scotland was 50 years into be colonised by london; london/england had become dominant across old and new worlds through having the biggest warships controlling the seas, english having become the main language for publishing science, how the first global monetary/trading system evolved; 50 years before smith's publications scotland had become a colony of england- it was to suffer such disadvantages as people thinning as scottish land owners became ordered/taxed by london- sheep were to be seen as quarterly more profitable than humans- my family tree traces back to the pastor of the church on the isle or arran- every sunday the peoples sat in a circle- my 3 times great grandad's main job in the 1840s was to negotiate with landowners money so that people could emigrate-this is how scotland became a majority diaspora nation within the first century of adam smith's published works; in 1843 a diaspora scit james wilson had become a member of parliament with the aim of firing the majority of mps who had become sponsored by big vested interests; james launched the economist to help reform parliament and he started the debate with queen victoria- instead of slave-making empire could royals preside over commonwealth- if we diaspora scots have a unique value it concerns searching for empowerment not powering over

adam smith alumni choice of top 50 sdg connectors and top 500 cases by tech -nb tech world started up 1760 glasgow U by adam smith and first engineer james watt- there has always been a crisis of translation between the english and their first colony to app engines -for moore ask chris.macrae@yahoo.co.uk- which quarter of century do you want to search

top 50 sdg connectors>..health deeptech cases>..fintech cases>..edutech cases>..other tech cases>..
>fazle abed..>borlaug/food prize laureates..>bkash as 7th piece in brac finance for porest..>new tech uni glasgow year 260..>
>lee kuan yew/mahbubani..>ai food last 3 years emmanuel faber danone..>alipay and antfinance..>new tech uni stanford c150..>
>borlaug/food prize laureates..>attenborough only 60 year diversity tv anchor..>cases un digitalfinancingtaskforce.org/..>mit tech uni c130..>..
>.e pakistan cholera lab laureates including barefoot chinese medics and james grant .>village mothers para health servants-rural keynesianism since 1975.>bcorpsdanone maifesto ventures..>...new asean uni singapore>..
>.larry brilliant.>..>..>first search new uni coalitions starts with brac uni and china/schwarzman..>..
thurgood marshall
>..>..>connectivity sdg uni un..>..
>roosevelt/kennedy>..>..>africas virtual free uni collab..>..
>royal families of japan, netherlands , uk>..>..>..preschool playlabs>..
akio morita/founder toyota/abdul latif
mass & hanson robotics
negrppronte & joi ito
>..>..>informal primary adaptation montessori/paulo freire..>..
>..gordon moore/craig barrett>..>..>missing curricula of peer to peer- eg peer to peer health from age 10 up..>..
>guterres & ban-ki moon>..>..>girls apprentice clubs 13 up..>..
>.kobe bryant.>..>..>different practice specifi bridges to uni -eg hi tech hi, coding schools -replace classroom with blended team projects and virtual..>..
>gates>..>..>vip kid - best language coaching worldwide..>..
>berners lee and torvaulds>..>..>.dual language schools - optimising service learning.>..
>bezos and j ma>..>..>.refugeee edu educationcannotwait, educationaboveall.>..
>quadir family mobile for poorest>..>..>..>..
>p ma wechat/whatsapp>..>..>..>..
>serge brin and kai fu lee>..>..>..>..
>jerry yang & steve case>..>..>..>..
>dubai edu summit coordinators eg varkey &>..>..>..>..
>sheika moza and qatar edu summits>..>..>..>..
>abe & klaus schwab 5-place ir4 revolution geneva san fran tokyo beijing delhi>..>..>..>..
>elon musk..>..>..>..>..
>li ka-shing..>..>..>..>..
>..joko widodo
paul kagame
father and daughter jin
>.mr and mrs stanford
clara barton and florence nightingale
gandhi and mandela
montessori & paulo freire
pope and st francis
keynes and adam smith.
>thorkil sonne autism lives matter..>..>..>..>..
>..rosalind picard - 5 sense genii - human & machine>..>..>..>..
.....united nations at 75 - can markets be designed to sustain our species - we explore this question through seven 5 point unnovation networks inspired by listening to some of the world's most extraordnary heroines and heroes of poverty alleviation - special thanks to the late great fazle abed 1 2 3 and his friends who welcomed us to bangladesh on 15 occasions between 2007 and 2018

5 livesmatter bottom up markets shelf; 5 top-down markets that 2020s need to value younger half of world

5 exponemtial solutions that emerged un years 1-15 - 5factor target practice of sdgs

how bottom up marketers integrate global values- 5es of microfranchising; 5 vs of place mapping

leaping ahead of moores laws 100 times more machine analytical intel 5g 2020s 1g 1980s

SHELF bottom up INTEGRATION UNITING NATIONS 2021now transformation of top-down- valuing younger half of world 2020s as first sdg generation


resilience of community to nature

last mile health services

personal safety in community all lives matter

Borderless good relations -life critical knowhow flows


Types of health and nutrition local services needed so no mum or child dies through lack of basic care

connecting world immunologists and epidemiologists

health as missing peer to peer edu curricululum from 4th grade pre-adolescence up

EDUCATION ilivelihood skills

age of humanising machine and personal connections

lifelong including interruotions eg refugees, family crises

at pre-school

at primry

through adolescence /many need apprenticeships or community learning not closed classrooms

college for lifelong teaching and studying- era when half of most valuable knowhow changes every 5 years and is opposite of disciplianry or cultural silos


servant leaders and professions are embedded in communities, resolving systemiv breakdowns- this cant be done top-down; the worst constititution in 21st c is the perfect one when horse was fastest way to communicate

before 5g to 0g decades - the Economist hosted dialogue on entreprenurial revolution if future lives matter - redesign every system to valuing sme netwrks not large organisations


examples of tranformed finance thanks to blending digital unga75 peoples money

by 1960 5 extraordinary solutions looked ready for exponentilly risinghuman progress mapping 5 gravitaional factors if you find 17 sdgs too many to recall or interact
e1=EFFECTIVE e2 -EFFICIENT e3=expandable to any community in need e4=electrification e5= e- aka digital V1=one VILLAGE v2=200k villages national global worldwide real & virtual

letterfrom america 2020 -sadly our peoples are up the creek in deep shit- how come US lost peoples' trust world class nations trade on? neither media, nor educators nor politicians value: