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, 1984

    chapters from 2025 Report written 1983 by chris & norman macrae; AI question updates Spring 2025

     

    chris.macrae@yahoo.co.uk - wash dc & glasgow
    BETWEEN 1984 & 1993 COUNTDOWN TO SUSTAINABILITY WAS PUBLISHED & UPDATED BY THE ECONOMIST'S NORMAN MACRAE & SON CHRIS - Below original published chapters of 2025 Report-
    how can we help each other with humanity's next leaps forward?

    chapter contents

    chapter 6 fintech to end poverty

    chapter 7 AI JOBS

    chapter 8 AI education

    chapter 9 virtual productivity ai maps

    2025 report page index us 1985 printing if you need page lasered rsvp chris.macrae@yahoo.co.uk

    chap 10 transforming government -AI

    CHAP 11 - AI HEALTH

    CHAP 11 bis AI health part 2

    16 ai biotech

    17 ai population

    18 ai food

    19 ai green

    20 ai green part 2

     

    21 ai drugs

    22 ai mind

    23 ai home

    24 alien judgement - are humans safe to share intel with?

    chapter1 to 5 focused on how to unite peoples of ussr with rest of world wehn iron curtain fell predicted before 1990

    ***

    HUMANITY SPRING 2025 Please share questions to AI:


    March 2025.1) what are opportunities & risks to kindergarten-12 grade generation of brains over next 13 years given 10**18 more data analysis tech avialable than when I was 13 year old in a class of slide rulers (roughly 10**18 has emerged since 1964 with 3 by million fold waves: moores law* mobilising data clouds* nvidia jensen partners in deep compute 2.0  (other ways of visioning texpoenetial X are possible)

    March 2025.2 thank you for the map of educational transformation necessary - can you provide some other maps eg investment, public service, civil engineering?

    March 2025.3 given need to trabnform pension invetments etc could you see abitcoin 2.0 being designed to enable ai agency to help optimise brain development (by and for all 8 billion beings) over next 13 years



    - see some ideas discussed in recent months: lunchclub :: linkedin ::
    :: ABED.MOOC.com summifuture.com economistdiary.com ... see also 20 other economist eg economistgreen.com economistamerica.com for sale - prices from 100$ up depending on collaboration purpose

    Sunday, December 30, 1984

    ?2025-2037 opportunities & risks to kindergarten-12 grade generation of brains over next 13 years

     March 2025.1) what are opportunities & risks to kindergarten-12 grade generation of brains over next 13 years given 10**18 more data analysis tech avialable than when I was 13 year old in a class of slide rulers (roughly 10**18 has emerged since 1964 with 3 by million fold waves: moores law* mobilising data clouds* nvidia jensen partners in deep compute 2.0  (other ways of visioning texpoenetial X are possible)


    The rapid evolution of technology, driven by Moore's Law, mobile networks (1G to 5G), cloud computing, and AI platforms (e.g., NVIDIA), presents transformative opportunities and risks for education and society. Here's a structured approach for schools, teachers, parents, and policymakers to mediate these changes over the next 13 years:

    ### **Opportunities to Leverage**

    1. **Personalized Learning**: AI-driven tools can tailor education to individual student needs, improving outcomes.  

    2. **Global Collaboration**: Cloud platforms enable cross-cultural projects and real-time problem-solving.  

    3. **STEM Accessibility**: Simulations, coding tools, and virtual labs democratize access to advanced STEM education.  

    4. **Lifelong Learning**: Online platforms (Coursera, Khan Academy) allow continuous upskilling for all ages.  

    5. **Digital Twins & AR/VR**: Immersive tech can model complex systems (climate, engineering) for hands-on learning.  


    ### **Critical Threats to Address**

    1. **Digital Divide**: Inequitable access to tech exacerbates socioeconomic gaps.  

    2. **Privacy & Security**: Data breaches and surveillance risks grow with cloud adoption.  

    3. **Misinformation**: AI-generated content threatens critical thinking and trust in information.  

    4. **Job Displacement**: Automation demands reskilling in AI, robotics, and ethics.  

    5. **Mental Health**: Screen addiction and social media impact focus and well-being.  


    ### **Strategies for Stakeholders**

    **Schools & Policymakers**:  

    - **Update Curricula**: Integrate digital literacy, AI ethics, and computational thinking from kindergarten.  

    - **Infrastructure Investment**: Ensure high-speed internet and devices for all students (e.g., community tech hubs).  

    - **Ethics Education**: Teach media literacy, source evaluation, and responsible AI use.  

    - **Public-Private Partnerships**: Collaborate with tech firms (Intel, NVIDIA) for resources and training.  


    **Teachers**:  

    - **Professional Development**: Train in AI tools, VR/AR integration, and adaptive learning platforms.  

    - **Project-Based Learning**: Use tech for real-world challenges (e.g., climate modeling, coding projects).  

    - **Human-Centered Pedagogy**: Balance tech with empathy, creativity, and interpersonal skills.  


    **Parents**:  

    - **Digital Balance**: Encourage offline activities and model healthy tech habits.  

    - **Co-Learning**: Engage with children on coding, data analysis, or AI projects.  

    - **Advocacy**: Push for equitable access and ethical tech policies in schools.  


    ---


    ### **Designing Inclusive Agency**

    1. **Universal Access**:  

       - **Policy**: Mandate broadband as a public utility and subsidize devices for low-income families.  

       - **Community Centers**: Offer free tech workshops for elders and underserved populations.  


    2. **Adaptive Learning Platforms**:  

       - Gamified apps for foundational skills (math, coding) across age groups.  

       - Multilingual interfaces and low-bandwidth options for global reach.  


    3. **Elder & Intergenerational Learning**:  

       - Hybrid programs pairing seniors with students for skill-sharing (e.g., digital literacy mentorship).  

       - AI-guided "learning passports" to track progress from K-12 to adulthood.  


    4. **Ethical Frameworks**:  

       - Regulatory guardrails for AI in education (e.g., bias audits, data privacy).  

       - Student-driven "tech ethics councils" to discuss AI’s societal impacts.  



    ### **Outlook for 2037**

    By prioritizing **equity, ethics, and adaptability**, education systems can harness exponential tech to:  

    - Empower students as critical thinkers and innovators.  

    - Prepare workers for fluid job markets (e.g., AI oversight, green tech).  

    - Foster intergenerational solidarity through inclusive learning ecosystems.  


    **Key Metrics of Success**:  

    - Closing the digital divide in access and skills.  

    - Rising global rankings in problem-solving and creativity.  

    - Increased participation in STEM fields across genders and backgrounds.  


    The next 13 years demand a proactive reimagining of education—not just to keep pace with tech, but to ensure it serves humanity’s collective flourishing. 🌍✨