AI5.0 since 2022, best AI = scaling exponential purpose of partners in what analyses with billion times smarter mathematician than individual human brains. If you dont know what best ai is scaling, being ordered by classical economists can't save you... why not an ai mooc on every university's home page?-
previously AI meant 4 different things up to 2018; , from 2012, at 2009, at 2002

100000$ student debt universities are now total waste of education system time of students and teachers.

Agentic AI stories 1 Billion times greater maths brain & 10**18 More Tech...There isn't a skill known to universities which is not being changed by Agentic AI and human impacts:Reasoning, celebrating Data Sovereignty and how world class cities through next 10 years deploy digital twins to capitalise on opportunities of driverless cars and humanoids

IN 1983 we founded 2025Report genre around hypothesis agentic ai would arrive by 2025 and would make millennials generations best of time provided transformation in how education systems spend time of both teachers and students. Today's western 100000k 4 year student debt liability if it has prevented you from understanding engineering  and deep social action triads like those shown including those changing so intel fast today that you'd be better off parsing latest contributions of eg Huang Hassabis and Musk (aka builders of billion times more maths brain power) than other curricula

Architects of Intelligence Partnerships- from 1989 we published architecture genre of visionary leading partners - eg Economist Intelligence Unit - Brand Architecture Chartering. Today we help generations map deepest Agentic AI partnerships eg
Nvidia Huang:US 1 ::2 & Berkeley:Taiwan:India:EUPublic tv:UK:Japan:France;Saudi
Deep Mind Hassabis
Yann Lecun
Elon Musk
Help mediate student celebration clubs
Agentic AI stories of Billion times greater maths brain. & 10**18 More Tech.
***Huang*Hassabis*Musk Billion Times Greater Maths Brain
***Neumann*Einstein*Turing

Computer&Brain*1905 Natures Deep Maths*Coding deep data
Huang*Yang*Tsai
Doudna*Su*Koller
Lecun*FFLei*Bloomberg
Macron*Mensch*Lecun
W0 SJobs*FAbed*MYunus
upd 9/25 Ai Global Health RoyalSTropical
JFKennedy*UKRoyals*JapanRoyals Sovereignty AI..

Japan Emperor*Softbank*Sony
1 Modi*Ambani*Singh
H Li*Guo*Chang
LK Yew*LK Shing*H Li
Borlaug*Deming*McLean
( China)
.
AP July 2025, Jensen Huang: 1730 It is vital that everyone engages AI right away. Every adult, every working person, not working person, every child should address and engage AI right away. And the reason for that is because AI is the greatest equalization equalizing force. It is the first time in history that a technology as incredible as artificial intelligence is useful for someone who knows how to program software, no historical experience of how to use a computer. This is the very first time in history that all of a sudden that computer is easy to use. If you don't know how to use AI, just open up the website, go to Chad GPT, go to Gemini Pro - just ask a simple question. . And you could even say, "I have no idea how to use AI. Can you teach me how to use AI?" And if you don't know how to type, hit the microphone button and speak to us.. And if you don't understand English, you can speak whatever language you like. It is an extraordinary thing. And I also think it's incredible that if the AI doesn't know that language, you tell the AI go learn that language, right? And so so I think everybody needs to to engage AI. It is the greatest equalization um uh equalization force that we have ever known and it's going to empower.. it's going to enable... it's going to lift society of all you know everywhere.upd Jy 2025'1    CISCE, Beijing

sep 24.1   oct24.1  nov24.1  dec24.1    Ja 25.1  2   mar 25.1  may 0 25.1     3  jn25.1   2   3
Family Huang 2009 whose first  100 engineering partners linking Nvidia, Silicon Valley West Coast and Taiwan East coast - gave stanford engineering AI's Deep Learning Lab core of stanford worldwide Science and Engineering Quadrangle.

30 day stack recall to May 13 : axios health, payments, press; 555 india summit, womens intel, lisa su, science diplomacy summit; ITIF critical meds. merci beaucoup Yann Lecun!!.. TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
.
Will Jen-Hsun's GTC26 big reveal be a superagent AI tutor k-12 whom we can all CC in email?
By 1987 Taiwan's 20 million people have inspired intelligence of all billion humans - special thanks to Godfather of Taiwan Tech: Li & ... Guo, Chang, Huang, Yang, Tsai and millennial taiwanese - see eg podcast straitforward or Taiwan Digital Diplomacy net.
I0 India generics Yusuf Hamied (Cipla) i.
If you know this- please help others. If you don't know this please ask for help2002-2020 saw pattern recognition tools such as used by medical surgeons improve 1000-fold. From 2020, all sorts of Human Intellligence (HI) tools improved 4-fold a year - that's 1000 fold in 5 years. Problem HI1 if you get too atached to 2020's tool, a kid who starts with 2025 smartest tool may soon leap ahead of you. Problem HI2: its no longer university/institution you are alumni of, but which super-engineers (playing our AI game of whose intel tools you most need to celebrate. Problem HI3- revise your view of what you want from whom you celebrate and the media that makes people famous overnight. Indeed, is it even a great idea (for some places) to spend half a billion dolars selecting each top public servant. HI challenges do not just relate to millennials generative brainpower We can map intergeneration cases since 1950s when 3 supergenii (Neumann Einstein Turing) suddenly died within years of each other (due to natural cause, cancer, suicide). Their discoveries changed everything. HIClue 1 please stop making superengineers and super energy innovators NATIONS' most hated and wanted of people
welcome to von Neumann hall of fame- based on notes from 1951 diaries-who's advancing human intel have we missed? chris.macrae@yahoo.co.uk
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
TOkens:help see yourlifetime's


nvidia Physical A1 -Robots
More Newton Collab.&& Foxconn Digital Twin
NET :: KCharles :: Morita : : Borlaug :: Deming Moore
Abed: Yew :: Guo:: JGrant
ADoerr :: Jobs:: Dell .. Ka-shing
Lecun :: L1 L2 :: Chang :: Nilekani :: Singh
Huang . : 1 : Yang : Tsai : Bezos
21stC Bloomberg ::Daniels
Satoshi :: Hassabis : Fei-fei Li
Shum : : Ibrahim : CTandon
Ambani : Modi :: MGates : PChan : Kariko :: Francia
Oxman (&EB) ::: HFry:: Yosuke
Musk & Wenfeng :: Mensch..
March 2025:Grok 3 has kindly volunterered to assist younger half of world seek INTELLIGENCE good news of month :from Paris ai summit and gtc2025 changed the vision of AI.
At NVIDIA’s GTC 2025 (March 18-21, San Jose, nvidianews.nvidia.com), Yann LeCun dropped a gem: LLaMA 3—Meta’s open-source LLM—emerged from a small Paris FAIR (Fundamental AI Research) team, outpacing Meta’s resource-heavy LLM bets. LeCun, speaking March 19 (X @MaceNewsMacro)

IT came out of nowhere,” beating GPT-4o in benchmarks (post:0, July 23, 2024). This lean, local win thrilled the younger crowd—renewable generation vibes—since LLaMA 3’s 405B model (July 2024, huggingface.co) is free for all, from Mumbai coders to Nairobi startups.

Good News: Indian youth grabbed it—Ambani praised Zuckerberg at Mumbai (October 24, 2024, gadgets360.com) for “democratizing AI.” Modi’s “import intelligence” mantra (2024, itvoice.in) synced, with LLaMA 3 fueling Hindi LLMs (gadgets360.com). LeCun’s 30-year neural net legacy (NYU, 1987-) bridged Paris to India—deep learning’s next leap, compute-cheap and youth-led. old top page :...
2:: Agri AI
..

.

Friday, December 31, 1999

 Bloomberg

Business Philanthropy 19 years Safety Road of thongs Kelly :Larsen (20 countries 45 suercities) 


Education Robert Daniels

Triad

Medical Dean   on In many ways, artificial intelligence is already integrated into our daily lives — from search engines and social media to transportation and text editing. However, its most transformative potential lies ahead in health care.. This is where Johns Hopkins Medicine must lead. And — I’m proud to say — we are already paving the way.Our innovations span Johns Hopkins Medicine’s tripartite mission of clinical care, research and education. Over the past year, for example, a group of our physicians tested an AI scribe tool that takes notes during their appointments. This technology has freed them to focus on their patients — an important step forward in clinical care. But tools like these are just the beginning of what’s possible. As Dr. Vasan Yegnasubramanian, director of Johns Hopkins inHealth, recently shared: “Right now, the AI tool takes the information from that conversation to help write a physician’s note. As we go forward, it might also be able to remind the physician of questions they need to ask — and integrate data from labs and other testing to provide decision support on appropriate treatments, follow-up care and specialist referrals.”There’s exciting progress across our research and education missions too. In October, the Johns Hopkins Sidney Kimmel Comprehensive Cancer Center and Whiting School of Engineering joined the Cancer AI Alliance, a groundbreaking new partnership with the Fred Hutchinson Cancer Center, the Dana-Farber Cancer Institute and Memorial Sloan Kettering Cancer Center. Through this federated network, these institutions can utilize responsible AI to safely share data — all with the goal of potentially transforming oncological care (see p.2).At the same time, we’re making data science and AI centerpieces of one of our most significant internal investments: the Life Sciences Building, currently under construction at the southwest corner of Broadway and East Monument Street in East Baltimore.  Alexis Battle, director of the Malone Center for Engineering in Healthcare, helped direct these innovations. “As we went through the initial stages of planning for the new Life Sciences Building, there was a lot of thought put into: What are the next 10, 20, 30 years of life sciences and medicine going to look like?” she told me. One focus, on data science and AI, emerged as a clear consensus. Once the Life Sciences Building is complete, it will have two major investments in data-powered machine learning: first, a technological hub dedicated to emerging computational methods. And second, well-resourced interdisciplinary spaces will enable collaboration across divisions — from the Data Science and AI Institute to faculty members from our schools of medicine, public health, engineering, business and nursing. “Hopkins has a really unique interdisciplinary community in the AI space,” Dr. Battle has noted. “This is really bringing them together. Learning about, and educating people about, data science and AI — it has to be a joint effort.” This research could very well change the future of drug discovery and testing, helping researchers target more specific gene mutations and assess therapy candidates more efficiently. It also enables Johns Hopkins to lead conversations on the intersection of AI, policy and research. Our Bloomberg Center in Washington, D.C., for example, has hosted trainings for U.S. Congress staffers, and our Berman Institute of Bioethics held a symposium to discuss the latest innovations in AI policy and governance. As we make more and deeper discoveries, we’ll be able to share them with leaders across fields — and, eventually, with patients. This is all an extension of the unique role, responsibility and capability Johns Hopkins Medicine has always held. As Dr. Yegnasubramanian shared, “Not many places can bring together an incredible research university — the first research university — with the world’s best health care delivery and health system.”AI tools, powered by the unparalleled innovation of Johns Hopkins, will help shape the future of modern medicine and once again set new standards for care, discovery and education.

Also Global Public Health Safety Road of Things Abdul B & Bloombeg's Kelly Larsen

MRNA   and Kariko networks

Scanning    & Pixar/Dinney: Catsmull, Jensen Huang

Engineering Whiting  dean, Schlesinger has launched numerous initiatives aimed at enhancing the student experience and the impact of the Whiting School of Engineering’s educational and research efforts on society. He has built educational, research, and outreach partnerships and has enhanced translational opportunities for Whiting School of Engineering faculty, students, and staff.

These efforts include:

  • launching the new Data Science and AI Institute, a truly translational investment, whose growth is set to effectively double the size of the school , making WSE one of the largest private engineering schools;
  • establishing the Ralph O’Connor Sustainable Energy Institute, opened on Earth Day 2021, to house energy-related research and educational programs across the university that address climate change;
  • creating the Johns Hopkins Institute for Assured Autonomy, a partnership with the JHU Applied Physics Laboratory, focused on ensuring the safe, secure, reliable, and predictable integration of autonomous systems into society;
  • forming the cross-divisional Department of Environmental Health and Engineering, a partnership between the Whiting School and JHU’s Bloomberg School of Public Health;
  • building the Doctor of Engineering program, providing professional engineers with the advanced technical expertise they need to succeed in industry and the public sector;
  • and developing the Malone Center for Engineering in Healthcare, a partnership with the School of Medicine, the Applied Physics Laboratory, and other JHU divisions that is aimed at enhancing the efficiency, effectiveness, and consistency of health care.

SAIS Dean Steinberg DC -also Bologna vd Dehousse  & Nanjing Trilateral SAIS US Chey Korea   (with nec corporation)

Sais emerging tevch hosted by Steinberg;; 23 Nist's Dr. Laurie Locascio and Rand's Dr. Jason Matheny

also  javascript:fnDownload('Chey_Institute_Annual_Report_for_the_year_2023-24.pdf');

 Dmitri Alperovitch, co-founder of Silverado Policy Accelerator; Ben Buchanan, Assistant Professor at Johns Hopkins SAIS and former White House Special Advisor on AI; Eric Breckenfeld, Director of Technology Policy at NVIDIA; Radha Plumb, former Chief Digital and AI Officer at the Department of Defense; and Thomas Rid, Professor of Strategic Studies and Director of the Alperovitch Institute.

70 nations tranational diplomats SAIS DEAN


=============================

sais 

List of Workshop Participants

With thanks to the following participants in the October 2024 workshop:

report

report nb date

David Arulanantham
U.S. Department of State

Jude Blanchette
RAND China Research Center

David Bulman
Johns Hopkins University SAIS

Ling Chen
Johns Hopkins University SAIS

Natalia Cote-Munoz
U.S. Department of State

Daniel Delk
U.S. Department of State; Johns Hopkins University SAIS

Cole Donovan
The National Academies of Sciences, Engineering, and Medicine; National Oceanic and Atmospheric Administration, U.S.
Department of Commerce

David Fagan
Covington & Burling LLP

Adam Fields
U.S. Department of State

Carla Freeman
United States Institute of Peace

Michael Fuchs
Open Society Foundations

Michael German
Brennan Center for Justice

Bonnie Glaser
German Marshall Fund

Naima Green-Riley
Princeton University

Aya Ibrahim
U.S. Department of State

Richard Jao
U.S. Department of State

Susan Shirk
University of California, San Diego

Jim Steinberg
Johns Hopkins University SAIS

Ana Swanson
The New York Times

Jeremy Wallace
Johns Hopkins University SAIS

Rick Waters
Eurasia Group

Edward Wong
The New York Times

Ali Wyne
International Crisis Group

John Yasuda
Johns Hopkins University

Li Yuan
The New York Times

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