2025+ Last Generations?

By 2035 it is mathematically (95% lilely) that we human brains (8 billion existing, first of next 4 billion born) will sense whether 21st Century engineerining is to gravitate worldwide transformation of trust, love and hope; or to pied piper us to extinction
Relevant AIntelihgences connect
Energy & Water
Space
Mobile Autonomous Public Services
Health & Einstein Pattern maths of life sciences and nature
Geonomic fusion and Celebrating millions of communal actions instead of ever fewer big bosses
Agency over skills; transforming education beyond linear examination classrooms and expensive paper chases as well all become lifelong mentors and students
No one nation can lead this and sadly as we have seen through 30 years of UN greenwashing millenials with SDGs, the next decade has left integrating data sovereignty with a lot of scary conversations unless ai trains us to care about every next child born on saceship etah as bucky caled our last examination

AI 5 layer cake- dec 2025, DC CSIS, by jensen huang

y deep learning leaps 2022 2018 2015 2012 2009 2003 ...legacy 1956 of NET - neumann einstein turing ; towards the world of machines with billion times moore maths brainpower than sperate human minds; through 3 million fold expoenetial multipliers engineering chips, computaional cappower, stalite data distribution

update bloomberg clusters

 a lot more than clusters is scaling 2025-6 with singapore and bloomberg taking its 8th new economy summit to india at same time gupta-klinks-india appears to be hopkins main medical partnership abroad (though there are eg SAIS triple cities - baltimore- bologna-nanjing).Hopkins has long been us main reserach university: eg apl and nasa space research (latsest space contribution at social projects summit yesterda) , med school and nih, Prof fishman in radiology was one of earliest pioneer partners with nvidia and steve jobs in revolution of coding pixels instead of binary without which ai would net be on the point of agentically augmenting every persons skils); there's lot of biotech and energy work connecting hopkins and the nation's 17 supercomputers half of which now warp at nvidia speed). We understand among bloomberg's 4 billion dolars funds to his alma mater, one invetsment is up to 40 bloomberg professors who both have specialist practices and connect ai deep data to this). We've rearranged cluster data from current web page https://bdp.jhu.edu/bdp-clusters/ 

.AI-X   There is a revolution underway in science, engineering, medicine, and public health, accelerated by a rapidly growing constellation of technologies that are built on machine learning and data science. The AI-X Cluster will build on the intersection of data science, machine learning, and the deep domain expertise at Johns Hopkins to develop scalable AI systems that will drive discovery, decision-making, and prediction in science, engineering, medicine, and public health. Lead faculty  Brian Caffo Prof Biostatistics Research Interests Neuroimaging Statistical methodology Data science Open education  He was the recipient the Presidential Early Career Award for Scientist and Engineers, the highest award given by the US government for early career researchers in STEM fields. He co-created and co-directs the SMART (www.smart-stats.org) group focusing on statistical methodology for biological signals. He also co-created and co-directs the Data Science Specialization, a popular MOOC mini degree on data analysis and computing having over three million enrollments. Dr. Caffo is the director of the graduate programs in Biostatistics, a member of the Johns Hopkins Data Science and AI Institute, and is the recipient of the Golden Apple teaching award and AMTRA mentoring awards. Data Science for AI in Healthcare: An Online Course  2020 Natalia Trayanova Research Interests: Computational cardiology, machine learning in cardiology, arrhythmia therapies Lab Website: Computational Cardiology Laboratory Publications: From Google Scholar / From Pub Med Berrak Sisman is an assistant professor in the Department of Electrical and Computer Engineering, and a member of the AI-X Bloomberg Distinguished Professorship. She is a member of JHU Center for Language and Speech Processing and the JHU Data Science and AI Institute. She is the Director of the Smile Lab at JHU. She is internationally recognized for her contributions to deep learning, speech synthesis, voice conversion and expressive speech modeling. She is also interested in medical applications of speech and language as well as deepfake detection and anti-spoofing. Sisman received her PhD from the National University of Singapore, advised by Haizhou Li, with visiting research appointments at the University of Edinburgh and the Nara Institute of Science and Technology (NAIST, Japan). Berrak Sisman Hub for Imaging and Quantum Technologies The Hub for Imaging and Quantum Technologies cluster will establish Johns Hopkins University as a worldwide leader in the area of quantum science and its revolutionary application to technology and fundamental physics. This cluster will recruit scholars who will lead efforts to push beyond the current limits of imaging and quantum technologies by developing cutting-edge tools for a wide range of research areas. Measurement science is experiencing a revolution driven by breakthroughs in imaging technologies and quantum enabled technologies that are expected to far exceed what is possible with traditional tools. The cluster, supported by state-of-the-art infrastructure, will put Hopkins at the forefront of this transformation. Joan Hoffmann Dr. Joan Hoffmann is the mission area executive for Research and Exploratory Development at the Johns Hopkins Applied Physics Laboratory (APL). In this role, she drives the investment strategy for research programs seeking technology breakthroughs to benefit the missions of the Laboratory’s sponsors. She previously served as exploration program area manager and program manager for Alternative Computing Paradigms in APL’s Research and Exploratory Development Mission Area. As exploration program area manager, she oversaw the strategic direction and execution of emerging research technologies in artificial intelligence, computing, neuroscience, robotics, and autonomy. As Alternative Computing Paradigms program manager, she established a nationally recognized program exploring the promise and capabilities of quantum information systems, trustworthy computing, and next-generation neuromimetic computing approaches.She has extensive experience developing nanostructured materials and devices for chemical, biological, and radiation sensing (for which she received APL’s 2013 Hart Prize for Best Research Project); growing and patterning carbon nanomaterials (nanotubes and graphene); and conducting low-noise measurements. Dr. Hoffmann received a Ph.D. and master’s degree in physics from the University of California, Berkeley,  ========== also at hopkins APL is Christina Fox co-chair of atlantic council commission reporting software defined warfare and panellist dec 2025 at AI + Space summit David Kaplan Thomas Kempa Jin U. Kang Christopher Overstreet

Upd Aug 2025 Kershia Pollack Porter leads an organization that includes over 900 full-time faculty, a full-time staff of more than 1,400, and more than 3,100 students from 88 nations bdp cluster Advancing Racial Equity in Health, Housing, and Education The Advancing Racial Equity in Health, Housing, and Education Cluster will make Johns Hopkins the world leader in solution-focused practices and policies to promote racial justice in health, housing, and education (HHE) for young people. The team will have expertise in achieving racial justice in HHE, facilitating an advance towards development beyond problem identification, and testing of promising practices and translating these into policy solutions at scale.. Odis Johnson Jr. Tamar Mendelson Ebony McGee Nicholas Meyerson x Artificial Intelligence and Society Anton Dahbura  Executive Director of the Johns Hopkins University Information Security Institute and Co-Director of the Johns Hopkins Institute for Assured Autonomy Lingxin Hao Debra Mathews I-Jeng Wang Epigenome Sciences Epigenome sciences aim to explain the fundamental principles of epigenome organization and function that enable eukaryotic organisms to execute DNA instructions encoded in their genomes to maintain homeostasis, grow, replicate, differentiate cell-specific functions, and respond to changing environments. The science of the epigenome is vitally important to human biology and has a broad reach throughout the life and medical sciences. Michael Schatz Michael Schatz Computational Biology and Oncology Department of Computer Science, Whiting School of Engineering Department of Biology, Krieger School of Arts and Sciences Department of Oncology, School of Medicine Michael Schatz is an expert at large-scale computational examination of DNA sequencing data. He is focused on understanding the structure and function of genomes, especially those of medical or agricultural importance. related ref GalaxyProject Schatz works at the intersection of computer science, biology, and biotechnology, and develops new algorithms, computational systems, and machine learning techniques for comparative genomics, human genetics, and personalized medicine. His methods have been used to reconstruct the genomes of many previously unsequenced organisms as well as probe sequence variations in thousands of human genomes to study the genetic basis of cancer, autism spectrum disorders, and other major diseases. In recent projects, Schatz has used long read single molecule sequencing technology to map previously hidden structural variants in cancer genomes and to sequence 100 tomato genomes in 100 days, pushing the boundaries of genome research and technology. Cynthia Wolberger Carl Wu

. Brain Resilience Across the Lifespan New discoveries in brain sciences have created unprecedented opportunities to develop strategies to enhance and preserve brain function. This cluster will bridge critical technical and knowledge gaps at Johns Hopkins University, nucleating the formation of strategic groups to study brain resilience across the entire human lifespan.  Richard Huganir Patricia Janak Genevieve Stein-O’Brien Cluster scholar backgrounds may include: Neuroengineering: Develop tools to better measure and manipulate brain function Mechanisms of Brain Plasticity: Discover the basic mechanisms of brain plasticity that underlie cognition and cognitive resilience Development of Cognition: Study the development of cognition and how stress and the environment impact cognition Critical Periods of Plasticity: Discover the mechanisms that define critical periods of learning across the lifespan Genetics of Cognition: Discover the genes that effect cognitive development and how mutations in these genes impact cognition Aging and Cognition: Study the impact of aging on cognitive decline and cognitive resilience

.x Knowledge to Action and the Business of Health This cluster will address the pressing social need of achieving better health outcomes in light of ever-rising health spending. Promising discoveries for meeting this challenge often fail to become widely adopted in the face of numerous complexities. By leveraging the Hopkins Business of Health Initiative and the learning health system hubs at Johns Hopkins, this transdisciplinary cluster will generate solutions aimed at aligning incentives and integrating the science of systems, economics, and management. Kathryn McDonald Daniel Polsky Kathleen Sutcliffe Valerie Suslow Catherine Ettman Andrew Anderson Nicholas Tilipman André Nogueira

Water Intelligence Foundation Model

  From linkedin UNwomens - newsletter 

Chris AI Macrae MA DAMTP Cantab

Valuation expert preventing intelligence era’s takeover by fake media and non-transparent constitutions. Neumann mathematician; Keynesian Trust-architect: map 10 times more health*wealth.

Economistwater.com suggests asking 4 intelligence questions like these to grok or whatever is the source of intelligence and future of life you trust mostl

1 is there a complete list in all the ways that water and mapping systems of its flows impacts the future of life peoples of a place need transparently core both to media & education

2 does any nation have ai model of all water impacts next generation most needs to integrate

3 would it make sense that somewhere like saudi - historically had to cost water carefully - but currently abundant energy for data centres & intelligence hubs might lead integrating such an ai model and in ai agency if education's future is to offer every human their own ai mentor/agent

4 has someone trusted to help partners in all ai goods like jensen huang (or whomever your place trusts most) suggested this to saudi

can we ask if multilateral network (UN or other) issues next list of goals, every goal included like water be verified with similar questions- if goal does not require such system mapping, relegate it to second order compass; ai is quite able to map life critical goals 24/7 but for humans to do education and ai together it makes sense to do above - rsvp chris.macrae@yahoo.co.uk water intelligence foundation model

as yet nations and peoples not educated on all water flows -Agentic ai would like to help!

Water Intelligence by Grok

 Comprehensive Checklist: Water's Impacts on the Future of Life and Exponential Systems

Water is the foundational element for all life on Earth, influencing biological, ecological, technological, and societal systems. Its scarcity or abundance can amplify or constrain exponential processes—such as population growth, economic expansion, technological innovation, and environmental decay—while also serving as a vector for disasters and geopolitical tensions. No single, universally endorsed "complete" checklist exists, as water's roles are interconnected and evolve with climate change, population pressures (projected to reach 9.7 billion by 2050), and resource demands. However, drawing from authoritative sources like the IPCC, UN World Water Development Reports, and geopolitical analyses, below is a synthesized, multi-faceted checklist organized by key categories. This covers positive (enabling growth/sustainability) and negative (driving decay/conflict) impacts, with ties to exponential dynamics where relevant.1. Biological and Human Health Impacts (Essential for Life and Population Growth)Water sustains ~8 billion people and drives exponential population growth through health and reproduction, but scarcity accelerates decay via disease and mortality.

• Hydration and bodily functions: ~60% of the human body is water; dehydration impairs cellular processes, cognition, and reproduction, limiting population growth potential.
• Disease prevention and sanitation: Clean water prevents waterborne illnesses (e.g., cholera, typhoid); poor access causes ~1.7 million deaths/year, disproportionately affecting children and exponential youth bulges in developing regions.
• Nutritional support: Enables agriculture for food security; water stress could displace 700 million people by 2030, stunting growth in vulnerable populations.
• Exponential tie-in: In high-growth areas (e.g., sub-Saharan Africa), water access enables demographic dividends; scarcity could reverse this, leading to decay in human capital.

2. Ecological Impacts (Sustaining Biodiversity and Ecosystem Services)Water regulates exponential ecosystem growth (e.g., algal blooms) and decay (e.g., desertification), critical for the future of life.

• Habitat provision: Freshwater ecosystems support 10% of global biodiversity despite comprising <1% of water; drying wetlands (shrinking 0.2%/year) threaten species extinction.
• Nutrient cycling and carbon storage: Rivers and wetlands sequester carbon; disruption (e.g., via pollution) accelerates climate feedback loops, exacerbating decay.
• Pollination and food webs: Altered flows from climate change shift species migration (e.g., fish poleward), collapsing exponential food chain growth.
• Exponential tie-in: Healthy water cycles enable resilient ecosystems for exponential biomass growth; over-extraction leads to tipping points, like 42–79% of watersheds losing critical streamflow by 2050.

3. Fuel and Energy Systems (Enabling Exponential Technological Growth)Water powers energy production but constraints could cap exponential tech scaling (e.g., AI data centers, EVs).

• Hydropower generation: Supplies 16% of global electricity; dam-building alters flows, risking blackouts in growth-dependent economies.
• Fuel production (e.g., biofuels, hydrogen): Crop irrigation for biofuels demands 2,500 liters/kg; scarcity could halt exponential renewable energy expansion.
• Cooling for thermal power and data centers: Nuclear/coal plants use 40% of U.S. freshwater withdrawals; overheating risks exponential energy decay in warming climates.
• Exponential tie-in: Water-intensive tech (e.g., semiconductor fabs use 10M liters/day) fuels Moore's Law-like growth; shortages project 6B people facing scarcity by 2050, slowing innovation.

4. Cleansing and Purification Roles (Supporting Industrial and Exponential Economic Growth)Water detoxifies systems but pollution creates feedback loops of decay.

• Waste dilution and treatment: Rivers assimilate pollutants; overload (80% untreated sewage) contaminates groundwater, affecting 2.2B without safe sanitation.
• Industrial processes: Enables chemical/pharma production; scarcity raises costs, constraining exponential GDP growth (projected 2–3%/year globally).
• Nanotech and advanced purification: Emerging tools (e.g., solar photocatalysis) recycle water for closed-loop systems, promoting sustainable exponential scaling.
• Exponential tie-in: Clean water enables circular economies; decay from pollution (e.g., heavy metals) could slash productivity by 6% of GDP in affected regions.

5. Cooling and Thermal Regulation (Mitigating Climate-Driven Decay)Water moderates temperatures but extremes amplify exponential heat risks.

• Evaporative cooling in ecosystems: Forests/rivers cool land by 2–4°C; loss accelerates desertification, affecting 1B people.
• Urban heat mitigation: Green infrastructure (e.g., wetlands) counters heat islands; scarcity worsens urban growth pressures.
• Oceanic heat absorption: Absorbs 90% of excess heat; acidification kills corals, disrupting exponential marine productivity.
• Exponential tie-in: Cooling enables exponential urbanization (68% global population urban by 2050); failures (e.g., 29% drought rise since 2000) trigger migration waves.

6. Agricultural and Food Systems (Driving Exponential Population and Economic Growth)Water irrigates 40% of food production, but inequities fuel decay.

• Irrigation for crops/livestock: Demands 70% of freshwater; efficient tech (e.g., drip systems) could boost yields 20–50%.
• Soil moisture for growth: Droughts reduce harvests 10–20%; climate shifts project 50% yield drops in tropics.
• Aquifer recharge: Over-pumping (e.g., 126B m³ annual losses) causes subsidence, threatening exponential agrotech (e.g., vertical farming).
• Exponential tie-in: Water enables food for 10B by 2050; scarcity risks famine for 500M, inverting growth curves.

7. Natural Disaster Risks (Agents of Sudden Decay in Exponential Systems)Water extremes disrupt growth trajectories, with 70% of disasters water-related.

• Floods: Increased 134% since 2000; damage $100B+/year, displacing millions and halting infrastructure builds.
• Droughts: Affect 55M people/year; amplify wildfires, reducing arable land exponentially.
• Storms and sea-level rise: Contaminate aquifers; project 1B at risk by 2050, eroding coastal economies.
• Exponential tie-in: Disasters compound scarcity, turning linear risks into exponential losses (e.g., 44% of events flood-related since 1970s).

8. Geopolitical and Conflict Dimensions (Upstream-Downstream Power Dynamics)Transboundary waters (affecting 2.6B people) enable "hydro-hegemony," where upstream control weaponizes access.

• Upstream leverage: Dams (e.g., China's 11 on Mekong) reduce downstream flows 20–30%, sparking food/energy crises.
• Downstream vulnerabilities: Egypt (Nile) loses 10–25% flow from Ethiopia's GERD; Iraq sees 75% Tigris-Euphrates decline from Turkish dams.
• Wargame scenarios: "Water wars" risk in 263 basins; e.g., Indus tensions between India/Pakistan could escalate nuclear threats.
• Exponential tie-in: Conflicts slow regional growth (e.g., MENA GDP loss 1–2%/year); cooperation (e.g., treaties) could unlock shared prosperity.

Category	Positive Impact (Growth Enabler)	Negative Impact (Decay Driver)	Key Exponential Dynamic
Human Health	Sustains reproduction and workforce expansion	Disease spikes from pollution/scarcity	Population boom vs. demographic collapse
Ecosystems	Biodiversity hotspots for resilient services	Habitat loss accelerates extinctions	Biomass growth vs. tipping points
Energy/Fuel	Powers renewables for tech scaling	Cooling shortages halt production	Innovation curves vs. blackouts
Cleansing	Enables circular economies	Pollution feedback loops	Productivity gains vs. health costs
Cooling	Regulates climate for habitability	Heat amplification	Urban expansion vs. migration crises
Agriculture	Boosts yields for food security	Drought-induced famines	Yield doubling vs. yield halving
Disasters	Managed floods for fertile soils	Extreme events destroy infrastructure	Recovery cycles vs. repeated resets
Geopolitics	Treaties foster alliances	Upstream dams as "weapons"	Cooperative growth vs. conflict spirals

Pathways Forward: Avoiding Catastrophic DecayTo harness water for sustainable exponential growth:

• Integrated Water Resources Management (IWRM): Adopt UN frameworks for equitable allocation, targeting 100% transboundary cooperation by 2030.
• Tech Innovations: Scale low-water tech (e.g., desalination, AI forecasting) to cut demand 20–30%.
• Climate Adaptation: Invest $1.7T by 2030 in resilient infrastructure for 10x ROI on disaster prevention.
• Diplomacy: Revive treaties (e.g., Nile Basin Initiative) to counter "hydroterrorism."

This checklist is dynamic—monitor via UN/IPCC updates—as water's scarcity (projected for 57% of watersheds by 2050) could redefine humanity's trajectory. For deeper dives, explore IPCC AR6 Chapter 4 or UN WWDR 2024.
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as yet nations and peoples not educated on all water flows -Agentic ai would like to help!

Feasibility of Saudi leading world water intelligence co-share

why not world top ai connector (eg Nvidia Jensen Huang DC oct 28 or Korea-Asean early Nov)  suggest water agentic ai to Saudi and world of peace