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, November 27, 2000

    QUNITRILLION (million*million*milliom) TIMES MORE TECH HARD ON BEING HUMAN 11 BILLION TIMES 

    UPD JANUARY 2025 chris.macrae@yahoo.co.uk Washington DC , in this 75th year my family/friends have tried to construe notes from von neumann and friends"

     We're of the view that intelligence being co-designed around the world today has a lot to do with 3 million times more tech waves (multiplying each other) that were conceived as engineers next games at the end of world war 2 primarily by von neumann einstein turing;


    • gave us some hi-trust advice on: around which this genius triad gave us some system design advice- (egdesign above zero sum trading games, work out how to create energy free of wars , resolve cultural and geonomic conflicts from historical times...
    • but practically speaking the actual exponential multipliers did not start until eg 1965 (8 years after death of NET) moores law (this multiplier did beome million times more by 1995) .
    • ironically while the famous ibm computer architecture and the race to the moon visibly shapoed human imaginations from 1964 cho[s impacts for over a decade became a production game mainly of Japanese and other asian microelectonics designers until the late 1970s; chops only fully accelerated computing designs from early 1980s personal computers and so the first experiences of networking - thus wave 1 of tech alsio became first experiences of living both locally and accessing worldwide mindsets
    • the sceond of these million times waves can be seen as satellite !G to 5G as enginerrs stadards were set round redistribution of data analysis from communities to clounds.
    • The third can be though of as the accelerated deep data learning partnerships which are now impacting almost every industry and society. IN 2025 its worth asking every month has a worldwide summit changed choices be these intelligent, ignorant or as yet unknowable
    UN summer 2018 - hundreds of trillions of western pension money does not rate SDgoal investments as asset grade

    Congress summer 2018 - million times more chats are coming -cspan AI testimony : Fei-Fei Li (AOforall & intermimg google chief cloud plus Brockman co-founder OpenAI (last year as non profit)

    Artificial Intelligence

    Artificial Intelligence

    Two subcommittees of the House Science, Space and Technology Committee held a joint hearing to consider the applications and …


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    • If we made a very rough analysis decade by decade of who owns debt, is it true to say that currently more debt as a percentage is owned by people who don't see investment in next generation children as the core purpose of the ovelall system which huamn and machine inteligence is currently meditaing?

    Pro Search

    20 sources
    Answer
    Your perspective on the evolution of intelligence and technology since World War II is intriguing, and it aligns with the rapid technological advancements we've witnessed over the past decades. Regarding your question about debt ownership and its relation to investing in the next generation, the available data suggests a complex and concerning picture.

    Debt Ownership Trends

    Over the past few decades, there has been a significant shift in debt ownership:
    1. Government and Central Bank Holdings: As of December 2021, government accounts, trust funds, and the Federal Reserve owned about 41% of the U.S. Treasury debt16.
    2. Foreign Investors: Foreign entities held about 26% of U.S. Treasury debt in 202116.
    3. Private Domestic Investors: These investors owned about 33% of U.S. Treasury debt16.

    Intergenerational Concerns

    There are several indicators that a significant portion of debt is held by entities that may not prioritize investment in future generations:
    1. Short-Term Focus: Many private investors and financial institutions prioritize short-term returns over long-term societal benefits15.
    2. Debt Burden on Future Generations: The increasing global debt, reaching nearly $300 trillion in 2021 (356% of global GDP), poses a significant burden on future generations15.
    3. Reduced Social Spending: In many countries, debt servicing is taking precedence over crucial social investments. For instance, 12 out of 71 low- and lower middle-income countries spent more on external debt than on education in 20202.
    4. Intergenerational Transfer: There's a growing concern about the intergenerational transfer of debt burden. As Thomas Jefferson argued, each generation should ideally receive the earth "clear of the debts and incumbrances of the first"12.

    Investment in Children

    Evidence suggests that investment in children and future generations is not being prioritized:
    1. Funding Crunch: Save the Children reports a funding crunch for child-focused initiatives, with several major donor countries reducing their development spending7.
    2. Debt vs. Social Spending: Low-income countries now spend more on debt interest payments than on education or health10.
    3. Child-Lens Investing: The concept of "child-lens investing" is only now emerging as a framework for considering children in investment decisions7.

    Conclusion

    While it's challenging to provide an exact percentage, the available data and trends suggest that a significant portion of global debt is indeed owned by entities that may not prioritize investment in future generations as their core purpose. The focus on short-term financial gains, coupled with the increasing debt burden on developing countries, indicates a system that is not optimally aligned with the long-term interests of children and future generations.This misalignment between debt ownership and intergenerational investment presents a critical challenge for the global community. As we continue to advance technologically, it becomes increasingly important to develop financial and economic systems that balance short-term needs with long-term investments in human capital, particularly in children and education.
    AND NOW FOR SOMETHING COMPLETELY DIFFERENT