Is it possible for engineers and humans to advance intelligence 1) to progress safe affordable homes for families 2) better nutrition for all; 3) better health for all; 4) smarter livelihood education; 5) cultural reust for women as much as men 6) better access of water for all; 7 more efficient and sustainable energy for all; 8 better opportunities for youth to generart? Of course it is but as we look around the world can we help humans everywhere that these intelligent systems are not yet being scaled.?. .
AIworld: Can we data map & celebrate places where education wants youth and tech to design healthy, wealthy and joyful jobs : Taiwan, West Coast USA, India, UK, Singapore/HK, UAE, Korea, Japan, Nordica, Canada France Germany

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 12, 2024

    Here is Q& A with Gemini today

    Q ultimately if we fail to make the younger4 half of the world the first renewable generation, this will have been a human implementation failure not one due to insufficient computational tech?

     A You're absolutely right. While insufficient computational technology could arguably pose some limitations, ultimately, the success of transitioning to a renewable generation hinges on human implementation and action. Here's why:

    Human factors play a key role:

    • Policy and Regulation: Governments need to set ambitious yet achievable renewable energy targets, implement favorable policies, and remove existing barriers to adoption.
    • Investment and Funding: Sufficient investments in renewable energy infrastructure, research, and development are crucial. Public and private sectors both need to be involved.
    • Behavioral Change: Individual and collective behavioral shifts towards energy conservation and sustainable practices are essential. Educating and empowering younger generations is key.
    • Social Justice and Equity: The transition to renewables must be just and equitable, ensuring benefits are shared widely and no communities are left behind.

    Technology serves as an enabler, not a magic solution:

    • Technological advancements in areas like renewable energy generation, energy storage, and smart grids can accelerate the transition but ultimately depend on human choices and implementation.
    • Innovation alone isn't enough to overcome political resistance, economic challenges, and social inertia. Human motivation, collaboration, and leadership are crucial.

    Focusing on empowering the younger generation is vital:

    • Engaging and educating younger generations about the urgency of climate action and the opportunities of renewable energy is critical.
    • Equipping them with the knowledge, skills, and resources to drive change within their communities and professions is essential.
    • Creating space for their voices and ideas to be heard and integrated into decision-making processes is crucial.

    Ultimately, transitioning to a renewable generation will require a collective effort:

    • Collaboration between governments, businesses, individuals, and communities is essential.
    • Prioritizing human agency and leadership while leveraging technology effectively is key.
    • Recognizing the critical role of empowering the younger generation to lead the way is vital.

    While challenges abound, fostering a collaborative and action-oriented approach focused on human agency offers the best chance for success.

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