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   2   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
..

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Tuesday, January 31, 2017

Alibaba’s Ant Financial Aims for 2 billion Users by Bringing Blockchain Technology to Alipay

By
 Richard Kastelein
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Alibaba’s payment arm Ant Financial wants to have 2 billion customers in 10 years according to the chief executive of the $60 billion firm. Ant Financial runs the Alipay mobile wallet in China which has over 450 million users.
In an interview with CNBC, Eric Jing, the CEO of Ant Financial, added that the Chinese giant is exploring further uses of Blockchain technology to make that possible. 
“WE HAVE AN AMBITION TO BE A GLOBAL COMPANY,” JING TOLD CNBC AT THE WORLD ECONOMIC FORUM IN DAVOS.
“SO MY VISION (IS) THAT WE WANT TO SERVE 2 BILLION PEOPLE IN THE NEXT 10 YEARS BY USING TECHNOLOGY, BY WORKING TOGETHER WITH PARTNERS … TO SERVE THOSE UNDERSERVED.”
Jing noted the potential of artificial intelligence and Blockchain.
 
When asked by CNBC if Ant Financial is looking into blockchain technologies to underpin Alipay, Jing said “definitely”.
“ALL THESE TECHNOLOGIES WILL BE USED … TO BRING MORE, A HIGH LEVEL OF SECURITY,” JING EXPLAINED, ADDING THAT ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN WILL BE “DEEPLY” INTEGRATED INTO ANT FINANCIAL’S OPERATIONS.
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Ant Financial has already introduced Blockchain technology into a charitable donation service that it owns, with the aim of allowing users to track the money they send in a more charitable way.
To push growth the company raised a whopping $4.5 billion in a series B funding round last year which will help drive deals such as its acquisition of a 40% stake in India’s Paytm.

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Wednesday, January 4, 2017

jan 2017 log of jack ma

aug 2017
ma signs smart city agreement with macao

TAOcafe ma sets sites for 10000 grab & bore stores as tencent and alipay frace for mbile wallet share of market
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Sunday, January 1, 2017

Help Compile Yunus Top 100 Intelligence Tips

 send us a link - chris.macrae@yahoo.co.uk - cvode which sdgs you see

451 (l)earning Women ;i\velihoods by Yunus Health minister Mrs Begum prevouls Grameen Bank co-founder, director education & womens  villageculture https://www.youtube.com/watch?v=2MRKWohm6T8&t=33s



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wef transcripts from openT
Harnessing Artificial Intelligence to Target Conservation Efforts
The smartphone is the ultimate example of a universal computer. Apps transform the phone into different devices. Unfortunately, the computational revolution has done little for the sustainability of our Earth. Yet, sustainability problems are unique in scale and complexity, often involving significant computational challenges.

Teaching a Machine How to Imagine

We can train computers to learn to recognize objects by giving them millions of examples with the correct answers. A human baby, on the other hand, learns to recognize many concepts and objects all by themself simply by interacting with a few examples in the real world.

Using Cryptography to Redefine Legal Contracts and Public Records

Can we have agreements or the mechanisms for enforcing agreements between governments without having to appeal to the ambiguity of international law?

Language as a Signature of the Flexible Human Mind

To understand human nature, I focus on human language and what it can reveal about how we think. Unlike other animals, humans can communicate an infinite number of thoughts through language. And one reason that language is powerful is because we can use each of our words flexibly, with several different meanings.

Applying Algorithms to Minimize Risk

The United States plants more than 170 million acres of corn and soybeans a year, more than any country in the world. And the primary mechanism in the US that we use to subsidize agriculture is actually called the Federal Crop Insurance Program. So, the crop insurance program in the US is also the largest such program globally, with over $100 billion in liabilities annually. So it’s a very big program.

Mapping the Intricacies of Evolving Food Systems

In many countries, the very ability to eat a food like avocado is a direct benefit of international trade. We are eating on an interconnected planet. Food trade now shapes land use worldwide and is reshaping the food supplies of many nations.

Building Resilient Cities Through Restoration of Fragmented Urban Ecosystems

Cities form a vast global network connected by flows of energy, food, information. This global network is the challenge of the 21st century. How do we make more sustainable cities, with smaller ecological footprints and more equitable human wellbeing?

Decoding Workforce Productivity: Brian Ballard

The Fourth Industrial Revolution is ushering in a significant increase in connected machines, connected products. And at the same time, the people who are standing next to these highly sophisticated machines are ultimately connected in their home lives. They carry a cell phone that’s managing their smart car, their smart home, their smart systems. But they have almost no interaction with the systems at work.

Decoding Workforce Productivity: Benjamin Waber

I could ask you questions about where your customers buy products, or what sort of products they buy. And you could give me very detailed answers. But I could ask relatively similar questions about what goes on within your company that you can’t answer.

Decoding Workforce Productivity: Nita A. Farahany

Are there any limits to the connected workplace? Are there any concerns about the connected workplace? Is there any way in which you wouldn’t want either yourself or an employee to be connected? Are there any limits to the kinds of information we can gather in order to make our workforces more productive? In order to make our overall society more productive?
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