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

a chat with 2024 inteligence engines on helping bangladesh (team yUNus) with women empowerment (WE) revolution 3

Chris Macrae co-Moderator facebook Yunus fanclub 

https://lnkd.in/eGnTE68h nearlly 200 global leaders including 92 Nobel Laureates extend their congratulations to Professor Yunus and the people of Bangladesh. In a powerful letter, they express their readineess to support Bangladesh's journey toward crreating a new and better world with Dr Y's guidance https://www.prnewswire.com/.../global-leaders-and-civic... 200 influential signees
First 3 teams ; narional goverance, economiics, finance; first foreign envoy adviser

Thanks to bilion asian women - and 2 men Dr Y and Abed Bhai

WE3 Le Monde 10 Aug 2024 

Muhammad Yunus, the 'banker to the poor' turned Bangladeshi government leader

The economics professor, founder of Grameen Bank and 2006 Nobel Peace Prize laureate is sworn in as head of the interim government

To understand the remarkable journey of Muhammad Yunus, the "banker to the poor" who was thrust to the helm of Bangladesh by a bloody popular revolution, one must look back to the mid-1970s. At that time, Yunus was an economics professor at the University of Chittagong, in the major southern port city of Bangladesh. It was there that he conceived an idea in a nation where poverty and overpopulation were often seen as inevitable: "I thought we needed to change the lives of the poor," he recalled back in 1987, smiling as he welcomed Le Monde into his office in Dhaka, the capital. "After returning home from several years in the US," he went on, "I realized that the government was incapable of meeting the needs of the poorest. And then I thought: after all, why can't these poor people contribute to improving their own lives?" This idea came to him after the devastating famine that ravaged his country in 1974, claiming hundreds of thousands of lives at the very least. This tragedy only compounded the suffering of this ancient land of misery and fertility, watered by the Ganges and Brahmaputra rivers, but regularly hit by cyclones and floods.

WE 1 birth of Bangladesh nation 1971; WE3 2 late 1990s women villagers communities first ever connection with electricity and coms ie mobiles; 

video 1 of 20 on women empowerment vision future capitalism 2008 year nobel judges visited dhaka and launched mirpur as first townhall in world to open poverty museums

2008 social business future capitalism videos 
g1 finance youth generation 1.1
g2 food
g4 learning
g5 women communal sensing - and intel scaling

King Charles-Yunus AI world series green1

revolution 3 happening 2024-5 (in parallel to year 1 after action unsummitfuture.com)

Gemini's View: Maximizing Affordable AI for Bangladesh: A Strategic Approach

Bangladesh, with its burgeoning population and a new government, presents a unique opportunity to leverage AI for transformative development. Here's a strategic approach to maximize affordable AI for the country:

1. Focus on Data Infrastructure

  • Data Collection: Invest in robust data collection systems across various sectors, including agriculture, health, education, and finance.
  • Data Quality: Prioritize data cleaning, standardization, and quality assurance to ensure AI models' accuracy.
  • Data Privacy: Establish strong data privacy regulations to protect citizens' rights while enabling data utilization for public good.

2. Skill Development

  • AI Education: Incorporate AI and data science into the education curriculum at all levels, from primary to higher education.
  • Talent Development: Create programs to train a local workforce in AI, machine learning, and data analysis.
  • Public Awareness: Educate the public about the benefits and potential of AI, fostering digital literacy.

3. Prioritize Affordable AI Applications

  • Agriculture: Use AI for crop yield prediction, disease detection, and precision farming to increase food production and farmer incomes.
  • Healthcare: Deploy AI for disease diagnosis, drug discovery, and telemedicine to improve healthcare accessibility and quality.
  • Education: Utilize AI-powered personalized learning platforms to enhance education outcomes, especially in remote areas.
  • Disaster Management: Employ AI for early warning systems, disaster response, and recovery planning.
  • Governance: Leverage AI for efficient public service delivery, corruption prevention, and policymaking.

4. Partnerships and Collaboration

  • Public-Private Partnerships: Foster collaborations between the government, academia, and the private sector to develop AI solutions.
  • International Cooperation: Seek partnerships with developed countries and international organizations to access AI expertise and technology.
  • Open Source: Utilize open-source AI tools and platforms to reduce costs and promote knowledge sharing.

5. Ethical Considerations

  • AI Ethics Framework: Develop a comprehensive AI ethics framework to guide AI development and deployment.
  • Bias Mitigation: Implement measures to address bias in AI algorithms and data.
  • Accountability: Establish mechanisms for accountability and transparency in AI systems.

6. Infrastructure Development

  • Digital Infrastructure: Invest in expanding internet connectivity and digital infrastructure across the country.
  • Computing Power: Ensure access to affordable computing resources for AI development and deployment.

By following these steps, Bangladesh can harness the power of AI to address pressing challenges, improve the lives of its citizens, and achieve its Sustainable Development Goals.

Would you like to focus on a specific area, such as agriculture or healthcare, for a more in-depth analysis?

NET-ECONOMIST VIEW - in 1951 Neumann-Einstein-Turing trained some economist jouralists in back from future of 2025 survey (2025report.com unsummitfuture.com) the diary travels with engineers desigming machines through tese decades when our brains will need to enjoy inteligence tools like mother earth depended on our woorldwide learning-interactions

 bangladesh's revolution 1 began as a new nation - kids and mothers were starving across n90% of the population which lived in vilages engineers had never brough electricity or other grids too; vo=ilage grfranchsies were designed for voilage moethers to value most irgent needs - enough rice to orevent starvaytion- enough veggies to prevent  infants from brain or body stintining; the cure taht was needed to prevent third of indants from dying of diahhea; mass innoculatiosn so that viruses like poloio were ended from earth; women built safe communities while the stringest young men were sent abroad to remit money or connected trade between vilage and city; it mattered that villages design services citizens bought be these clothes, arts or even eg forestry to maintain bangaldesh green and pleasant land; it matered that communities got true warnings of eg weather evenbts; resilience needed to ne last mile local- bangladesh girl power shared solutions all across tropical asia's contient;and of coiurse the generation of boys advanced bootom of pyrmaid marh=kets to - this brought us to the late 1990s when paryners brough vilage women mobile telecoms and solar- 2.0 intelligence connects the wolutions they built - eg money as mobile points ending all teh socts of distributing cash safely;  by 2000 probably 20% of people lived in cities with another 20% wanting to; meanwhile in the west inteligence tools were questioning what does gov2.0 look like; how do we go from 2000 milnnium goals being a greenwashing charter to 2015 goals being what gov2.0 and inteligence for all is designed around; in 2024 adter 14 years of abuse by old government , dr yunus was aksed to tranbform every dynamic of government - the nation's gov2.0 - and its 3rd human netrwirking rebolution in little more than half a century of=or;the reality the world roung is that the generaqtive exchanges between parents of 1950s, of 1984 and of eg yesar of covid 2020 have avve=celerated so that in tese 2020s thedecision all 8 bilion peope uniute will determine whether oyrvspoecies is smrat enough to see a 22nd century

Maximizing Affordable AI for Bangladesh: A Strategic Approach

Bangladesh, with its burgeoning population and a new government, presents a unique opportunity to leverage AI for transformative development. Here's a strategic approach to maximize affordable AI for the country:

1. Focus on Data Infrastructure

  • Data Collection: Invest in robust data collection systems across various sectors, including agriculture, health, education, and finance.
  • Data Quality: Prioritize data cleaning, standardization, and quality assurance to ensure AI models' accuracy.
  • Data Privacy: Establish strong data privacy regulations to protect citizens' rights while enabling data utilization for public good.

2. Skill Development

  • AI Education: Incorporate AI and data science into the education curriculum at all levels, from primary to higher education.
  • Talent Development: Create programs to train a local workforce in AI, machine learning, and data analysis.
  • Public Awareness: Educate the public about the benefits and potential of AI, fostering digital literacy.

3. Prioritize Affordable AI Applications

  • Agriculture: Use AI for crop yield prediction, disease detection, and precision farming to increase food production and farmer incomes.
  • Healthcare: Deploy AI for disease diagnosis, drug discovery, and telemedicine to improve healthcare accessibility and quality.
  • Education: Utilize AI-powered personalized learning platforms to enhance education outcomes, especially in remote areas.
  • Disaster Management: Employ AI for early warning systems, disaster response, and recovery planning.
  • Governance: Leverage AI for efficient public service delivery, corruption prevention, and policymaking.

4. Partnerships and Collaboration

  • Public-Private Partnerships: Foster collaborations between the government, academia, and the private sector to develop AI solutions.
  • International Cooperation: Seek partnerships with developed countries and international organizations to access AI expertise and technology.
  • Open Source: Utilize open-source AI tools and platforms to reduce costs and promote knowledge sharing.

5. Ethical Considerations

  • AI Ethics Framework: Develop a comprehensive AI ethics framework to guide AI development and deployment.
  • Bias Mitigation: Implement measures to address bias in AI algorithms and data.
  • Accountability: Establish mechanisms for accountability and transparency in AI systems.

6. Infrastructure Development

  • Digital Infrastructure: Invest in expanding internet connectivity and digital infrastructure across the country.
  • Computing Power: Ensure access to affordable computing resources for AI development and deployment.

By following these steps, Bangladesh can harness the power of AI to address pressing challenges, improve the lives of its citizens, and achieve its Sustainable Development Goals.

Would you like to focus on a specific area, such as agriculture or healthcare, for a more in-depth analysis?

1 comment:

  1. Dear Paul Polman- Over 50 years dad, Norman Macrae was The Economist's Asia end poverty and Von Neumann editor/biographer. Every system challenge intersects in these www.ai20s.com.. Dads last research purpose Muhammad Yunus hosting 50 person lunch with Yunus RAC 2008 (launching 2 journals with Adam Smith scholars), sampling 2000 of Yunus social business capitalism books. Is there someone in your team i can discuss how to help Yunus now. Our student rep is helping  mock up some deep partnership clues at www.economistdiary.com/1999 I am in Washington DC where AI has suddenly become exciting especially through Bloomberg/Hopkins and intersections between King Charles AI world series summit and Olympics (France next stop of AI ) and Fei-Fei Li pilots of NAIRRS with US's backed by Kamala Harris and potentially Nvidia's Huang and UK's Demis Hassabis.. I believe Yunus should send letter to Nvidia's Jensen Huang asking for help parallel to that's he's extending to Barbados Mia Mottley since data sovereignty is according to Jensen how localities take back their diversity and sdg impacts, and transform local education/millennial livelihoods. If we can link King Charles AI summit with yunus challenge and his lead national supporters France, Japan. and Guterres we have chance to renew UN2.0 too. 15 trips to Bangladesh took me to being friend of Fazle Abed. The Dutch  Royal family is huge in supporting Abed's work which has sadly lost its way since his death. I say this as brac university partnerships was the data project Abed asked my friends to keep connecting but its 4 year vice chancellor friend Vincent Chang found the family's succession issues too complex. Sincerely Chris Macrae Whatsapp/mobile +1 240 316 8157 Ps between 1982 and 1995 i researched  many projects for Unilever market modeling databank starting in Indonesia and through Japan office SE Asia Remit. Teaching at Medamengdon was a highlight - most of all playing Lux script empowering women was  best marketing got

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