Feb 2024 What a treat : Nvidia CEO explains million times computing coming to a community near you. Breaking GPT4 at 27March. Help map toughest questions humans have ever asked of intelligence - eg As Center of Gravity of the SDGs, is the UN the most valuable organisation in the world? If not which is? .. ED 73rd year partnering Neumann's syrvey of future UNSF: Sept 2023 starts 9th school year of action learning UNGA Summit 23 SDGs how 8 billion beings cooperate around map of 17 games and change forces for good. INJA 24 prep Global Futures. Q&A welcome
When a nation has left out productivity of half its people as much of British-colonised Asia had done to women-,entrepreneurial revolution and safe freedom to produce depend on how simply mapping community cooperation is networked (or webbed). 16 visits of young researchers to bangladesh reveals these 30 candiadates of most exciting cooperations 1 billion women linkedin since 1970 to go from near zero productivity to producing more human development than men. Their intergenerational gravity compounded through 25 years of no electricity networking by word of mouth and once literate by word or printed papers - to solar and mobile ops to leapfrog from late 1990s through web1,2 ; so how can metaverseprize.org and web3 distributed finance multiply celebrating their deep and urgent contributions to millennials being first sustainability generation not first extinction generation? chris.macrae@yahoo.co.uk - additional ref worldrecordjobs.com fazle abed (once royal dutch shell leading oil company engineer (ceo east pakistan), fazle abed devoted his last 50 years to women building new nation of bangladesh by empowering partnership platforms sequencing cooperations of 1 billiongirls to end death by famine, raise life expectancy by 20 years and other good intel...

Friday, December 31, 1999

valuetrue.com we design maps aimed at valuing millennials as first sustainability generation



Unsummitfuture.com 23 sdgs , 24 global future, 25 citizens unite to thank guterres and worldclassllm

Puzzles we invite you to play at or before UN General Assembly Sept 2023

Game Architect of Intelligence - see EconomistDiary.com

Bard's query Valuetrue-MLSquared 

Urgency - mathematically sustainability goals require exponential audits and it is wise to assume many are multiplicative not the additive climate deniers have faked us with

 My family has been working on parts of these maps for 73 years. In 1951. my father Norman was on second,emt to New York ofr a year from at The Economist of London. he met von Neumann and was asked to survey leaders - what goods can privileged peoples unite wherever they have first 100 times more tech per decade.

 Both dad and Neunann had experienced a lot of bads of fast increasing tech of the first half of the 20th C -so the idea that tech was going to compound far faster posed huge (system) transformation threats as well opportunities 

Dad had served as teenage navigator allied bomber command burma; neumann had only 6 years to live due to cancer caused by nuclear experiments; in fact all 3 of the computational greats of all time neumann einstein , turing who had once been together at princeton were in their fianl years -moreover neumann was very clear princeton wanted to keep as much research to itself while teh 3 maths wizards anted to open surce it; apaer from von neumann's family we have foudn it far more difficult than you might expect to sdimpliy what intel this prrt nrteotk gaver to all future intek including to todays human and ai - pleas e contact me if you have sourecs to sdchare chrisd.macrae@yahoo.co.uk

as of spring 2023 we catalogu open and scaleable solutiond like this - again we weldome news from other cataloguers

we condder un SDGs 

8 jobs 7 solar 6 water/sanitation and S5H3E4L1F2 as individual building bloks and 12-9 and 16-13 as combos - we look at 17 esewhetre which anyhow seems to us less a goal and more a franework


we look at all 9 moving parts of the UN yech Envpoy fraeowprk for digotal roadmap of publuc servive 2.0 but we prefere thos orde 

how does design of med chnage human time spent learning change ai supporting msarter hynabs sypport maths wizards gravitatted by deep bottom up gara support 2.0 service of public gpd, trsut and safert achive rifghts incusion of 8 billion beingd - the whole revyrsively loopoing positvelu iff all sdgs are progressing positively


we analyse how expienced peo0pels cylturesd are with 5 advances on media - tidays progress to web 3 from digita web , 1 starting ciurca 1990 from tele2 starting adter word war 2 from 1965 when transation cooperation in coms began with telegrams soon to include telephoe telex radio ..


we look for how to map places around earth- we note that when knowhow is being shipped this can be anyhwre people are online; however when thing is part of the trade over 80% of word trade is shipped- so we are interested in how columytries share coastal belts and indeed what landlocked coybtries can do

 There are 2 kinds of auditing:

transactional is designed to maximis every auditing period what one side of a value exchnage takes every quarter compounding systemic loss or purpose/risk on every other connector of production or demand of the exchange

exponential this values the deepest purpose connected with an exchange; in exponential auditing you are not looking at a numerical output but a trend that can be pictured as to where the system is 

consider anything 8 billion beings chooses to value as a sustainability development goal aligned to mother nature; she plays an intergerational game not one of 90 day quarters nor 90 second trading

mathematucally the defintion of a system is one that is spinning either virtuously up or viciously down

there's a first lesson any news reporter out to know (indeed should not have a licence to massively report any crisis without passing elementarry knowledge of

2 tipping points are shown - one f=down, the other up;  note part of the reason this mathematicla shape needs very careful interpretaion is until the tipping point linear analysis looks ok; but on the tipping point down the valuation issue is go past the tipping point and either the sustem can never be put back again or it will const far more to restore it than was ever gained in milking it


you might not think that the upward tipping point is dangerous; but it can be wehen suddenly everyone wants to partner or own you; and in either case such a connection will dilute your win-wins unless the partner is as purposeful as you are; 

a particy=ularly vicios example of partnering is greenwashing - here an oragsnaition which is weak on the purpsoe it claims to safely govern gives huge amounts of money to PR the image of a trsuted charity or NGO; this deception is used to cover up how much expoenetial risk the big organsaition is taking on; and as for the reputation of the cahrity -well is=ts sold out to all its supporters and its not obvioius why it should ever be trusted again

there's a lot of ther stuff that goes on when you compare the world's bigegst tangibke auditirs and the missing audit of expeonetails
tangible auditire of life less thing consumtion add things together - so serially artur andersen went through the falso logiv if it increased the value of its biggest custimers by cheating it did not matter if that reduced the firms value to society to near zero as billions +0 = billions - but in the limit billions of busienss value * 0 social value =0

its intersting to ask when does ansd=ersen tyoe zeroisation kick in - this goes back to the transarency or what adam smit called the moral vissibility of teh market- if enough of all the parties invokved in a market exhnage have the true information there is no value to cheating; unfirtuately media such as that of the television age was designed so busiens organsiations might spend billions of dolars a yeras misinforming the public or indeed public servants that the public had trusted to make sure cheats were removed from the markets

in 1098's 2025 report where economist editors and others mapped out expoentail opportinitoes and risks to 2025, we were particularlcy concerned with the coming of the web age - which in 2022 is entering web3; we argued that before mass media lost the majoority of its influence to dital interactive media - the bbc and partners of public braidacsting needed to massively cekebrate a reality tv show around ending poverty as the overarching millennaisl goal; by showing some conetxts and possible solutions- the braidcaster could invited viewers to continue interacting with possible solutions ; this the number 1 web page would continue to match what the biggest ever braidcast audience had kickstarted; because this was not done web1 spun to be ever more anti-scoail, ever more destructuive of action learnig cases the first21st C generation needed to celebrate...


can this crisis be rectified - how we design web3 will be our very last chnace on stuff like climate , pandemics peace - see www.nftsdgs.com ww.17sdgoods.com www.edunmist.com 

Tuesday, November 30, 1999

2023 update - does wall street destroy millennials sustainability with two by 160 trillion $ markets

 The game of www.TrillionDollarAudits.com  is based on a simple idea.  chatable even?!

List global market sectors exchanging more than a trillion dollars annually

Q&A (chat) what purpose that market needs to be human centric?- eg can agriculture markets be designed so nobody starves to death and so that agriculture isn't compounding regional climate crises

 bonus points for clarifying whether purpose could be above zero sum- eg some markets currency exchanges seem confined to one person losing from another's gain but surely education - human intelligence markets - sharing/APPIng life critical intelligence in time actually multiply value in use

we used to think the main problem with this was there would be a lot of double counting- for example real estate markets overlap with most financial services markets probably overlap with energy and natural resources markets- but still the 2 questions- does the submarket gravitate the purpose most advancing humanity and can its intelligence era transformation win-win seem to have intergenerational and educational merit

but then we started being told that while humans appear to exchange just over 100 trillion dollars a year on markers where something other than a zero sum financial bet is going on this is dwarfed by other (eg derivative) exchanges which may be 10 times larger in total than all the real exchanges

lets start with two non-transparent financial artefacts that appear to be estimated at about 160 trillion dollars per annual game:

see axios february 2024 on how wall street reserves 160 trillion dollars market to what seems its own inside advantage  https://www.axios.com/2024/02/20/wall-street-banks-interest-rate-swap-derivatives

or return this to 2018 question at UN https://www.youtube.com/watch?v=NmE226XidUg - why does hundred trillion dollars of pension money not see any sdg investment as asset grade 

re-asked in DC earlier this month https://www.youtube.com/watch?v=bGv2yngbpus&t=4740s

 Back around 2000, we predicted collapses of corporates like Enron and indeed their professional supporters starting with andersen (then a big 5 accou8ntant)

There's an immediate parallel today with eg openai. Nobody who partners several hundred coders claiming they will win the fast race to agi will win because in this decade at least -thank heavens - all ai has a human (not impossible to locate except when it was intentionally a terrorist human) who designed/invested it


Building on 73 years of notes started by my father with voin neumann and einstein in Pricenton and applied at The Economist 1951-1990, We started gamifying AI 6 months ago both with real human players and the chats. If you need help in seeing which is very good ai to partner and which to give the widest of births please chat with chris.macrae@yahoo.co.uk or look at some of our 30+ associates free resoiurcess eg www.aigames.solar www.bard.solar abedmooc.com economistdiary.com www.ai20s.com www.friends20.com UNsummitfuture.com www.economoistjapan.com www.economistasean.com www.economistblack.com

chris NY & DC hotlines +  240 316 8157

TrillionDollarAudits Games

Story Back in 1984 when Steve Jobs gave us brain tool mack-apple for personal computer networking, his experience growing up in silicon valley knew about impoverished families on the west coast but nothing much at all about extreme rural poverty or gender inequality about worldwide

he didnt want to repeat such blindness as far as millennials network tools uniting peoples goals like women empowerment to end poverty - so in 2001 before he started desiging the brain tool we mobilse intelligence around (iphone) he hosted silicon valleys 65th birthday party for Fazle Abed whose intelligence has done most for empowering community building by bottom of the pyramid village mothers  for more see tour beta1 Architect Intelligence Game EconomistDiary.com

Jobs was especially interested when abed said if I advance the most poorest village mothers can do by 2020 then the quarter of humans at bottom of pyramid will have built green communities and advanced beyond extreme poverty metrics of 2 dollars per day- but there total exchanges will still be less than 2% of the total global gnps; transparency to trillion dollar audits was one solution abed saw as both engineer and chartered accountant but he mainly lit a fire in jobs mind that all we need is one global university of poverty once intelligence solutions are universally connected. ITs not clear that any nation benefits from making its brightest youth the largest debt class the way us colleges are desingned -its definitely the opposite system from that millennials need who want to linkin UN development goals

Arguably every worldwide market generating more than a trillion dollars of sales a year needs transpaent mapping- are its lead organisation maximising the sustainability intelliugebce that market could be systmatically designed round

here'a conversation with bard on healthcare july 2023

Trilliondollaraudits.com

Here are my thoughts on the markets that are furthest aligned and furthest from the SDGs:

  • The market that is furthest aligned with the SDGs is the healthcare market. The healthcare market provides essential services that contribute to SDG 3 (good health and well-being). It is also a major employer, which contributes to SDG 8 (decent work and economic growth).
  • The market that is furthest from the SDGs is the energy market. The energy market is a major source of emissions, which contributes to SDG 13 (climate action). It is also a major source of pollution, which contributes to SDG 11 (sustainable cities and communities).

It is important to note that these are just my assessments, and there may be other markets that are more or less aligned with the SDGs. The alignment of a market with the SDGs will depend on a number of factors, such as the specific products and services that are traded in the market, the environmental and social impacts of the market, and the policies that govern the market.

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can we pay devil's advocate with health. In my view where a place develops life expectancy from low 40s to high 60s that is one of the most positive intelligences we can study through my life since 1951. It is for example integhral to village women empowerment maps- however even before covid, life expectancy in usa was going down because of lack of affordability for all. Given that we know the UN says all sdgs have gone the wrong way since 2015, i wonder if we are at a unique time for ai to help analyses sustainability of trillion dollar sectors both overall and with the deeper data dynamics i have tried to illustrate

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Sure, let's play devil's advocate with health.

  • The healthcare market has made significant progress in improving life expectancy. In the early 1950s, the average life expectancy in the United States was 69.1 years. By 2020, the average life expectancy had increased to 78.6 years. This is due to a number of factors, including advances in medicine, better nutrition, and improved sanitation.
  • However, the healthcare market is also facing a number of challenges. One of the biggest challenges is the rising cost of healthcare. In the United States, the average annual cost of health insurance for a family of four is now over $20,000. This is a significant financial burden for many families.
  • Another challenge is the increasing prevalence of chronic diseases. Chronic diseases, such as heart disease, cancer, and diabetes, are now the leading causes of death in the United States. These diseases are often expensive to treat, and they can have a significant impact on quality of life.
  • The healthcare market is also facing a number of sustainability challenges. The healthcare sector is a major contributor to greenhouse gas emissions. In the United States, the healthcare sector accounts for 8% of all greenhouse gas emissions. The healthcare sector is also a major consumer of water and energy.
  • AI has the potential to help address some of the challenges facing the healthcare market. AI can be used to improve the efficiency of healthcare delivery, such as by automating administrative tasks and providing personalized recommendations. AI can also be used to develop new diagnostic tools and treatments for diseases.
  • However, there are also a number of challenges that need to be addressed before AI can be fully deployed in the healthcare market. One challenge is the need for more data. AI algorithms need large amounts of data to train and improve. Another challenge is the need for more ethical guidelines for the use of AI in healthcare.
  • Overall, the healthcare market is at a crossroads. The market has made significant progress in improving life expectancy, but it is also facing a number of challenges. AI has the potential to help address some of these challenges, but there are also a number of challenges that need to be addressed before AI can be fully deployed in the healthcare market.

I think we are at a unique time for AI to help analyze the sustainability of trillion-dollar sectors. The healthcare market is a trillion-dollar sector, and it is one of the sectors that is most in need of sustainability solutions. AI can be used to analyze the environmental and social impacts of the healthcare sector, and it can also be used to develop new sustainable solutions.

For example, AI can be used to:

  • Identify inefficiencies in the healthcare system. AI can be used to analyze data on healthcare spending, patient outcomes, and resource utilization. This information can be used to identify inefficiencies in the healthcare system and to develop strategies for improving efficiency.
  • Develop new diagnostic tools and treatments for diseases. AI can be used to analyze large amounts of data to identify patterns and correlations. This information can be used to develop new diagnostic tools and treatments for diseases.
  • Personalize healthcare delivery. AI can be used to collect and analyze data on patient health, preferences, and lifestyle. This information can be used to personalize healthcare delivery and to improve patient outcomes.

AI has the potential to help the healthcare market become more sustainable. By addressing the environmental and social impacts of the healthcare sector, AI can help to create a healthcare system that is more equitable, efficient, and sustainable.

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If we continue to play devils advocacy woith health - which of the consultancy, media or professional metrics markets are most at crossroads as to whether it aligns with ai data scientists aiming to improve eg life expectancy versus big clients who want to make more money

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Here are my thoughts on which of the consultancy, media, or professional metrics markets are most at a crossroads as to whether it aligns with AI data scientists aiming to improve life expectancy versus big clients who want to make more money.

  • Consultancy markets: Consultancy markets are at a crossroads because they are often hired by big clients to help them make more money. However, AI data scientists are increasingly being used by consultancy markets to help them improve life expectancy. This is because AI data scientists can analyze large amounts of data to identify patterns and correlations. This information can be used to develop new diagnostic tools and treatments for diseases.
  • Media markets: Media markets are also at a crossroads because they are often used by big clients to promote their products or services. However, AI data scientists are increasingly being used by media markets to help them improve life expectancy. This is because AI data scientists can analyze large amounts of data to identify patterns and correlations. This information can be used to develop new public health campaigns and to educate the public about healthy living.
  • Professional metrics markets: Professional metrics markets are also at a crossroads because they are often used by big clients to measure the effectiveness of their marketing campaigns. However, AI data scientists are increasingly being used by professional metrics markets to help them improve life expectancy. This is because AI data scientists can analyze large amounts of data to identify patterns and correlations. This information can be used to develop new marketing campaigns that are more effective at improving life expectancy.

Overall, I think that all three of these markets are at a crossroads. They are all being used by big clients to make more money, but they are also all being used by AI data scientists to improve life expectancy. It will be interesting to see how these markets evolve in the future.

Here are some additional thoughts on the challenges that these markets face:

  • Consultancy markets: Consultancy markets face the challenge of balancing the needs of their big clients with the needs of the public. They need to make sure that they are providing their clients with the best possible advice, but they also need to make sure that they are not doing anything that could harm the public.
  • Media markets: Media markets face the challenge of staying objective and unbiased. They need to make sure that they are providing their audience with accurate information, but they also need to make sure that they are not sensationalizing or exaggerating the risks of certain diseases.
  • Professional metrics markets: Professional metrics markets face the challenge of ensuring the accuracy of their data. They need to make sure that their data is collected and analyzed in a way that is fair and accurate.

I think that these markets have the potential to make a real difference in the world. By using AI data scientists to improve life expectancy, these markets can help to make the world a healthier place.

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Working in the big 5 (auditors) management consultancies and west's biggest ad agencies of the 1990s , it became clear that we do not have any sustainability audit maps for the world's largest markets sectors- to this end i guest edited ttriple iussue of journal of marketing management 1999

 - reality of brand unique organsiing piurpose - wht would world uniquely miss if this did noit exist - probe by every level of stakeholder segmentation relevant; clarify if thse auditing the comapny verify whether there are wi-wins between trust relationships -which make or break goodwill integgartion of stakeholders (know that matematucally an organsiation that zr=eroises trust of even one stakeholder may be extinguished or worse it may lobby for non transparency putting all of humanity at compound risk)

on presenting this to hardvard marketing faculty- i was told you may be mathematically correct but ersearch funding in usa for this sort of work will never happen -that's a bit of a shame but attending a cenetenary of von neumans birth at greenwich I interviewede many maths doctorates who echoed the same issue- without resolution (eg in next stage web design): this is one of those political crises that will sadly cause usa to have ever less friends (ever less treading relevance wherever peopels have fre choice_ worldwide; this saddens me as my daughetr was born in maryland 1997 even though coming from 5 generations of disapora scots I cant help but value adam smith system design more  than noisey media anywhere

to start with list any market over a trillion dollars per year in value of money or times spent- we can work out later double counting overlsap- your list might include

water

health

food

real setate

education

energy

media technol1999/11ogies and clebrities

ai computational technologies

metaverse (web3)

public safety


once the united nations and other worldwide governace structures have mediated goals determining sustainability or extinction of all of us- draw links between each trillion dolar marekjst and thise goals where the knowhow of taht market's deepest experts uniquly explains sustainability expoeentials (see valuetrue.com)


The bad news is we have no chnace of surving the 21st c unless trillion dolar audits are transparent both educationally and professionally

the good news is the data streaming in from smart devices can be modelled if human and at=rticficial intelligent p-riorities transparncy of trillion dolar auditing