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

    Sunday, December 31, 2017

    2017 place ai begins to get serious in west as well as east

    Historically UN SDG17 has sought where partnerships of gov and corporation can advance SDGs- from 2023 the most interesting (most transformations) partnerships involved AI platforms - hence our searches

    what partnerships is a centre of gov like Washington DC linking AI and sustainability generation to

    what sdg related partnerships are world's top ai wizards and influencers inspiring to scale:

    Jensen Huang

    Demis Hassabis

    Fei-Fei Li

    Andrew Ng

    Melinda Gates Anne Doerr & Condi Rice


    Under construction aigames.solar and EconomistJapan.com  reaching out to various asian correspondents to see who they vote for as intelligences to have most advanced humanity from perspective of 2/3 humans living in asia - if you can help pls mail chris.macrae@yahoo.co.uk 

    In 1990, world class brands started wrining about genre of bran architecture - the need to prevent greenwashing. Sadly, the next 25 years has seen far more greenwashing and fake media design than sustainability demands

    The west left most of deed data science convergence of tech and data science to corporates- an extraordinary lapse (in spite of the rotten fincial position that subprime had created at start of 2009)  given 4g  frim 2009 started data beaming up and down data from every gps potentially the opportunity for great societal advantages and not just big profits to the handful of biggest digital companies eg amazon google apple microsoft facebook as well as specialist 3-services like uber bnb ...


    conversely vision generative ai has requitred so much data collection that it could only be done by new models of open source all of which can most clearly be understood by who linked in out of stanford from 2009

     From UN announcement of sdgs in 2016 spet , two different things have happened - pro-youth intelligence on western leadership of humans ai has depended on connections around stanfird and maps which the UN has started with Guterres (2023 sdg hal time - all collapsing) in year 8 of seeking deep partnnerships - both the research on un2 which has aiforgood geneva itu at its epicentre from 2017 at its transformation epicente and egov rankings - countries liike estonia have made govtech their priority in terms of service as digital has progressed; they dont necessarily have the resources to do generative ai but they have forned citizens digital ids and clarified where gov eserrvices can logically be built; slovenia has also been an importamt player in celebrating ai professors

    eastern intelligence leading humanity has become complicated - its often been mapped more round fintech edtech elearning sectors instead of the neural netwiork marths which then models most disciplines

     at ne time world economic forum, japans mayo son , some of the west'ds biggest funds leaders eg schwarzman, blookmberg...  looked well positioned but then trump and covid has made understanding of eastern ai difficult

    some transparent clues can still be seen at aisingapore - like estonia but more resourced a place serious about egov

    hong kong remains unique in connecting gaming solutions - see eg mr metaverse yat siu

    overall the west coast connectors around stanfird remain well placed because a majority of engineers are asian and  so able to 


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