Probable First 10 priorities of 25X energy efficient supercomputers
  • India Billion peoples basic ai health system & universal finance id
  • Agentic AI transformation womens education 9 to 15
  • Startup open ai ecosystem bridging hundreds of first mile agri and arts/garments etc startups with nations top 10 industries (Elon)
    UK-Valley Alphafold biotech segment leaps include tropical diseases as well as worldwide cancer data
  • Translation of all mother tongues to everyone codes ai via top 2 language llms and decolonial ai geonomic maps
  • Doudna Deepest continent scaled maths problems starting with energy and health transmission
  • First follower humanoid digital twins- eg community safety jobs nobody wants
  • Open profession AI startups
  • Colossus space ai including drone & cable ai
  • Chat+inference+physical ai everywhere self driving cars' "road of things AI"
  • Taiwan AI Digital twin ai factories etc- from Asia to West
  • Earth 2.0 & all deep global data others dont want to first
  • HUmanoids on streets ai
    Japan AI 5 asian supercity benchmark 5 or more western capitals including green model for half of countries with next to no critical minerals
  • Transgeneration Mapping (beyond multilateral relocation of education for millennial generation- eg united mayors ai)
  • HK and diaspora chinese: Digital twin university health colleges
  • Neuroscience etc Mapping start up ecosystem bridging cultures of 10 + regional nations and superport value chains
  • nft and womens metagames ai - eg beingai.org
  • UAE Water ai and Parallel geo-ai system but for middle east primarily desert superports and 360 degree trade maps sustainability
  • France - nuclear datacentre ai micro open ai and top 10 eu continent industries>
  • Sports AI owned by youth- end bad media and bring eg swiss into open euro models
  • Open history- culture ai
  • 25 years of knowledge city ai uniting nordia elearning & human capital- livelihoods new to millennils
  • PLus one
    Help welcomed ongoing intelligence Case Search - source Nvidia top 100 partners in 21st C accelerated computing - alphabet olf engineering inteligence - AI, BioI, Trillion$CoroprateI, DiscoveryI, EnergyI, FinananceI, GovI, HealthI, Icubed : 1) your real 1; 2 your digital 1; 3 your brain body and communal wellbeing support from agentic ai

    Monday, December 31, 2001

    SDG 1 Money crises an intro

    Mobile money reduces paper records and even need for paper m0oney. So where have peoples/communities gained from that. In rural areas (and those without electrocity) people remoned unbanked or trapped by loan sharks. Kenya's mpresa was a big breakthrough geared to remittances. Family members in city or aborad could but mobile points , heve these remtted to vilage where vilage shops could turn points back into money with mobile text pfone being mimnum consumer tech needed allied to solar for recharging. In china alipay took this futuer where much of population leapt from no landline phones to mobile, and no big box retail to ecommerce. I such a system banks with credit cards were not needed to form direct finacing between consumers suppliers, retialers and delivery algorith connectors.

    In much of west developed nations, end consumers especially those previously unbanked actually expereinced more expensive systems with efficiency gain going to bankers, big virtual suppliers- it is likely that ai will eventually bring much more transparency at least in those nations wanting millnnials to productively leap ahead in productivity and learning

    Of course finace is also driven by big personal spends eg homes and health and student loans. Each of these may become sources of breakthrough in some countries - and where these breakthroughs are dramatic it could be ai will finally bring transprency to costs of every element of buying and selling (the original idea of adam smith)   

     In the Kings English, artificial and engineered are synonyms (refering to man made syste, designs not just nature's whih existed up to 1758. Adam Smith wrote the last book on market exchnages without engineers and the book which corresponded to the first 16 years of engineering. From Scotland 1760s we got engines of physical power, of factory/city automation and transport; the epicented of engineering moved to swutzerland and central europe from 1865 which gave humans elcctricity and telecoms/media. by 1945, humans had endured 2 world wars; and perhaps 30% of humans had experienced 100 times more wealth than before 1760. Access to electricity grids is number 1 facftor; access to shipping across the world's oceans is another.productivity of eg both men and women makes sense too.



    here are some questions:

    is it possible to design money so that the poorest are included first in positive tech canage

    Is it possible to design currencies that are not limited to zero sum (when one side gains while the other loses)



    About half of all nations (admittedly 50 are small islands) never had any critical minerals so they had to go into debt even to playb in the carbon age. So not having intel on transparent gren models is trippy unfair to these nations; in debt to get started, often disagvntaged by climate volatiloty heaviest carbo osers have  typicallycaused;  waiting to celebrate green and open learning ages which seem to be eseentials if all milennails are to be first renewable generation

    Who are the finacial winners & losers drom wars.

    All 3 of these questions were of special concern to Neumann-Einstein-Turing as they coiuld see their legacy computers and aqutonomous machines and impacr on human brains would be far faster than the changes since 1865. If you resad the last chapter of Keunes genear theory of money, interest, jobs you will see that he classifies 2 rtypes of economis - those who make end poverty their hippocrsatic oath and those who don't. 

    Its intersing that while the UN came up with now 17 sdgs- there is really little discussion of these monet system crises. However we can chooses cases such as bangladesh which has needede to ask many of the above questions becvause at independence 1971 it was boirn poorest and 8th most populous nation

    There is a particular urecncy as Banglasdesh reviews all its knowho with DNobel Laurete DR Yunus "governong " see 1 & 2. There are other cases to study - and questions chris.mavrae@yahoo.c.ouk

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