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

    Friday, December 30, 2016

     Filing biorisk emeinents under peace (lost peace) - mpost seemed politically tongue tied - hard to evaluate Agenda Highlights: Tuesday, August 11 | 10 AM – 4:45 PM  https://www.nationalacademies.org/projects/CHPP-LSB-26-02/event/47123

    Keynote: AI-Bio 2045: What Becomes Possible?

    • Jim Collins, Massachusetts Institute of Technology

    Grounding AI-Bio Risk in Real-World Actors and Constraints

    • Kathleen Vogel, Arizona State University
    • Gregory D. Koblentz, George Mason University
    • Jennifer Nuzzo, Brown University
    • Brett Edwards, University of Bath

    Assessing How AI and Emerging Technologies are Changing the Biological Landscape

    • Harshi Mukundan, Lawrence Berkeley National Laboratory
    • James Zou, Stanford University
    • Héctor García-Martín, Lawrence Berkeley National Lab
    • Angie Rasmussen, University of Saskatchewan
    • Man-Wah Tan, Genentech

    Where and How Could Novel Risks Emerge Across the Lifecycle?

    • Yong-Bee Lim, Federation of American Scientists (former)
    • Shankar Sundaram, Lawrence Livermore National Laboratory
    • Kirsten Kulcsar Weand, Alloy Therapeutics / IBBIS
    • Kjiersten Fagnan, Joint Genome Institute
    • Stephen Johnson, UK Ministry of Defence

    Looking Ahead—What Possibilities Could Emerge in the Coming Decade?

    • Jasper Götting, SecureBio
    • Christine Parthemore, Council on Strategic Risks
    • Ben Oppenheim, Ginkgo Bioworks Inc / Center for Global Development

    Agenda Highlights: Wednesday, August 10 | 9 AM – 1:45 PM

    Priorities for Managing Risks: Prevention, Preparedness, And Future-Proof Governance

    • Megan Palmer, ARPA-H
    • Steph Guerra, RAND
    • Sebastian Maurer-Stroh, A*STAR
    • Suryesh Namdeo, Indian Institute of Science
    • Sam Weiss Evans, Federation of American Scientists
    • Matthew Hepburn, Avinora LLC

    Plenary Discussion and Moderated Breakouts

    • Ann Arvin, Stanford University

    Workshop Planning Committee

    • Lalitha Sundaram, PhD, University of Cambridge (co-chair)
    • Herbert “Skip” Virgin, MD, PhD, Washington University School of Medicine (co-chair)
    • Kate Adamala, PhD, University of Minnesota
    • Christian Happi, PhD, Redeemer’s University; Harvard T.H. Chan School of Public Health
    • Jasper Götting, PhD, SecureBio
    • Sebastian Maurer-Stroh, PhD, A*STAR Bioinformatics Institute
    • Harshini Mukundan, PhD, Lawrence Berkeley National Laboratory
    • Suryesh Kumar Namdeo, PhD, Indian Institute of Science, Bangalore
    • Amarda Shehu, PhD, George Mason University
    • Yunyun Wang, OpenAI
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