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, February 10, 2025

    help define kings english ai language model

    Dhaka 2016 at 15th celebration of digital debriefings between silicon valley and Bangladesh genii. Demand for digitally auditing government internal markets were written up and presented at un HQ september. People like him Kim fei-fei li Melinda gates directly have their time to ai fra
    me changing intelligence-centri action learning of youth and elders. Fantastic of yunus and youth are now free to apply this transformation to bangla2.0 
    https://www.aa.com.tr/en/asia-pacific/bangladeshi-leader-yunus-elon-musk-discuss-bringing-starlink-to-south-asian-nation/3481772

    HELP UNITE commonwealth &  Royal AI Language Models not Bureaucrats guardRAIL

    Today as the 3rd summit in the ai world series is celebarted out of Paris with Macron and Modi playing leading roles, we welcome help in open sourcing king english llm in line with King Charles opening message to ai world bletchle npv 2023

    In the KIngs English: Artificial just means engineered - ot has done since Smith's 1758 diaries on the coming moral sentiments of designing systems beyond nature

     amd those in the pre-engineering world as faeeas i know hman intelligence expoentially impacts every market starting with the biggest trillion dollar markets; therefore ai is technology designed by engineers aimed at helping hummans mediate markets around transparent purposes

    Yes the 3 mid 20th century genii NET (Neuamm Einstein Turing) gave us clear briefings on the exponential opportunitoes and threats of their legacy - see the final simmary edited by von neumann 1956 "computer and the brain"

    there innovations legacy makes clear reference to neural network algoetthm - ust as mass media suboncsciouslyy impacts brains and human behaviors so does tech; the net expected 3 million ford tech multipliers by 2025 - which we have indeed seen:
    million fold increase in capacity of silicon chips- moores law coined 1965 has mainly been accelerated by silicon valley and far east coastal lands japan; korea s; taiwan; hong kong ; singapore
    becuase chips wrent really used in computers to the early 1980s pcs , the question of whether the binary ancd linear design inherited from ibm was sufficient to support every 21st C endeavor was missed by eg bill gates and steve jobs but taken on by taiwanese americns in conjuction with maurice change who brought ai foundry to taiwan when texas instruments didnt want his idea;

    with 1990s start of berners lees internet, data transmission through rwlwcoms and satellites took off ; the utu standards from 1g to 5G introduced effectively millio0n times more tech; dara rich clouds mobilised by every personal and other data devoce monitoring human relations around earth's gps and space
    fair enough if you want to use term ai to connect everyy tech advance; on fair enough if you want to understand how partnerships chnaged from ibms linear binary desgb through ganes and pixar bisual programming beyong bimary from 2002; to the first great health model - helping radiologusrs with scanning pattersn 2006; soon to all sort sof biotech patterns from crspr editing gene to deep ming 240 billion protein databank -one main reason why jensen hiang bet nvidia on all kinds of a deep learning from 2009 -another being the agreed need that machines learn to use all human senses speech sight listening toich hearning before robots or autonomois machines take on applications where too much real ti,e data is being transferred for a human to mediate


    what this  meant is by the late 2010s deep learning was chnaging every trillion dollar industry sectir and every skill humans bring to such sectors;
    and as our 2025report publishe 1984 with The Economist clearly timelined
     k-12 teachers should have beenn involved in helping milennails question future affairs as they became curttent over the 13 years at school or extensiosn to colege; anyone in education especially collgee leaders selling exoribiatnt fegrres needed to help milelmnails celebrate new inteligence literacy or be fired from all influence over coming generatuons

    game on : in 1984 wour 2025 report explained why education and heath in particular would need tranformation by 2025 if milennails were to be first remnewable generation ; the net had timelined earier schedules for recomectoing with natire's energy spourcesand [ecefully interconnecting 8 billion barins beypnd bodrers - see http://neumann.ning.com which uncludes note around which ecoomist journalists mediated future quests from 1951 - deom Von Neumann's briefings - see also biography of von neumann by dad and the economist's norman macrae

    ;