.Modi-Banga-Ambani- Bloomberg..any chance that india's implementation (modi paris febriary =KingCharles ai relay 3/ ambani/jensen november) could twin supercity discovery with bloomberg road sadety learning curves since 2007 celebrated at last week's world bank 22nd transforming transporation (nb we're glad Charles is celebrating 2nd quarter of 21st C with AI frineds following or support starting first quarter of 21st c microcredit bangladesh women empowerment - banker for poor- hope musk's starling offer to dr yunus is real thing)
thanks as always to steve jobs who in 2001 hosted Valley's 65th birthday party with women empowernents Fazle Abed, and in 2002 started coding pixels at Pixar with Jensen Huang soon to change radilogy ai and then all surgeon ai and then
JENSENS LAW COMPLETES 10**18 more tech since 1965 ~MooresLaw*Jobs (&Satellite?Space AI 1G to 5+G) Mobilising Data Clouds*Jensens Law chris.macrae@yahoo.co.uk: In 1964 I was 13 - starting to study maths slide rulers were most efficient dtata analysis apploed by schools anywhere. * years later as I achieved mt postgrad Diploma Stas at Camvridge Maths Lab DAMTP - online compiting barely exuisted. I lucjed out with my first job - UK Natioanl Developmemt Project Computer Assisted Learning - there I not only stidies online classes connecting 100 studnts across the country but programmed much of the content and acted as tutir when machine ocasionally broke down. I am conveinced blending digital and "real" learning is what every millennials needs to generate.
AI AGENCY FOR EVERY HUMAN TO COME BEFORE AGI 18 March 2025 sees Nvidia's Jensen Huang start 11th year of summit updates on all deep learning ai and effectively year 24 of pixel ai core to 1 most medical al as well as rendering and figital games
Which kind of Intelligences -human AND engineered - interest you? AI is brilliant wherever structctured multidimensional analysis is beyond any human brains which over focuses on one dimensional (short-term) numerical audits and except in medical scanning (as yet) often fails to fully openly/transparently appreciate 2 dimensional maps let alone 3d up
IMPORTANCE OF CELEBRATING PLACES SO ALL 8 BILLION BEINGS THRIVE ACROSS GENERATION (4 billion under 30, 4 billion over 30)
(eg valuing data sovereignty by and for peoples futures! ) India will be lead space to benchmar 2025-2026
- first demonstrations came from coding pixels (2002 steve jobs pixar and jensen huang's nvodia) applied to radiology and now prerrt much any o[eration surgeons need to reherase ; DOING ENGINEERS LIFES WORK over 200 engineers of 30000+ have been at nvidia from this start - payyern recognition solutions apply to many of mathjs challenges first published einstein 1905 e=mcsquared; Jenmeen huang had already started to bet the company on jensens law - computing 2.0 designs needeed for deep learning analyses through 2000s when in 2009 fei-fei was headhunted to stanfird because of her idea that machines could learn all 5 human senses; this reignited brain science maths of neural networks that Neumann-Einstein-Ruring had expected humans to progress technolgy with but which non digital neiuroscient academics had losttough with; without jensen haung betting on chip desihn triaimh machines in all 5 senses we woild not have toadys chats nor would we have ways to make sure robots and autonomois moving machines obey human safety converns
Updated Western Spring 2025
Health & Safety AI is now 24 years : see eg mathematically evidenced thanks to what happened in 2001/2 -with silicon valeey transforming into AI Valley : Nvidia's Huang partnered Steve Job's Pixar after Steve had hosted 65rh birthday party of Fazle Abed celebrating billion poorest asian womens inteligence &James Grant School of Global Health integrating human energy intelligence netwrks eg Borlaug
Cofing pizels makes all kinds of medical scanning & mappoinf=g simpler than coding binary - see jensen haung and 3 taiwan american families, deep mind hassabis, Lila Ibrahim, Hanah Fry (reconnect with maths deepest puzzles sincve einsutein published e-mmcsquared)
alu,ni of bllopomberg roads and superscity civil engineering maps
data sovereignty ai taiwan american families with ; commonwealth ai king charles, modi, Ambiani, Japan emperor, Qatar leader ..
Meidation 5 human senses to agent advanced brainpower of every human is in crisis - while au's most exciting race since deep learning lab at stanfird begun 2009 by jensen huandg , stanford, (assists koller, ng , anne doerr, lila ibrahim) fei-fei li, and the neural network alborithm people (start with yann lecun as most practical)
autonomous machines and robots - while humans need these desperately ; we cant just leave that to elon musk (greatest genius in space ai and robotics as he undoudtedly is- these areas are very technical unlike other ai so be curious about them bit dont expect to contribute without many uears deep appreticeship or a brain the size of musk!
March 2025.1) what are opportunities & risks to kindergarten-12 grade generation of brains over next 13 years given 10**18 more data analysis tech available than when I was 13 year old in a class of slide rulers (roughly 10**18 has emerged since 1964 with 3 by million fold waves: moores law* mobilising data clouds* nvidia jensen partners in deep compute 2.0 (other ways of visioning texpoenetial X are possible)
March 2025.2 thank you for the map of educational transformation necessary - can you provide some other maps eg investment, public service, civil engineering?
March 2025.3 given need to trabnform pension invetments etc could you see abitcoin 2.0 being designed to enable ai agency to help optimise brain development (by and for all 8 billion beings) over next 13 years
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Today, engineering of intelligence is changing every human skill, every life, every community’s economy safety and natural beauty
This is impacted by transparently auditting exponentials of 3 multiplicative waves of million times more technology
QUiNTILLION TIMES MORE TECH 3) Nvidia compute2.0; 2) Satellite Data Clouds; 1) Chip Designs Moores Law Download 4 slide powerpoint intro -coming soon or chat chris.macrae@yahoo.co.uk , Washington DC ...
www.ai20s.comHIR-KELM- Do you need to know about Xponential Kings English Language Modesl -in full throttle since OCT 2023 fusion of Pacific Coasts' Human Intelligence Reality & Atlantic's Kl? HIR has been very good at brainstorming the coming of 10**18 "moore" computational and data trnasmission tech. Moore's Law started this engineering gift to humanity 1965; my favorite year's giant leap by engineers is Valley brainstorming 2009: primarily 3 wizards' nets brainstormed application of next wave of accelerated computing (Team Huang) and chose Games transformation around Einstein 1905 logics (Team Hassabis eg open sourcing 250 milion protein databab alphafold3) and democatising (girl empowering) every human's coding of digital intel by training machines to adapt to human modes of communicating and sensing mother earth (Team Fei-Fei Li who this week launchedworldlabs.aias her friends latest north star platform). Given accidental system failures in transtalantic's mediation of 2001, 2005, 2009, 2021 the world's 8 nillion vitizens owes great debt to Pacific (especially Valley) in keeping Human Intelligence Reality within reach of sustainable generation of millennials. It seems that from October 2023 to end of school year 24-25 every aspect of KELM will be tested eg US Nairr Pilot Executive Order & Chips Acts together with King Charles AI world series (London , Seoul, Paris ...), NY next week UNsummitfuture and NVidia world in DC October 7-9. We need hundreds of cities' peoples to celebrate intelligence inclusion. One way helping transatlantic Americans to transform attention is Bloomberg's commitment to smartest 100 mayors to get their peoples deepest intelihgence needs openly researched by Amerca's number 1 reearch univeristy Johns Hopkins. The US Department of Energy has located America's bigget computing powers across 13 national regions so that while DC' NiST orchestrates the USwww.NAIRRpilot.org, 13 reigonal HIRs can blossom and factually NAIRRS are the consequence of NIST deciding to fund Fei-Fei Li nearly 20 years ago. More on how Queen Victioia way back 1843 asked Economits to tranform English Constitution imoact worldwide in 1843 atwww.economistdiary.com.
Our newsletter Ed3EnvoyUN wuth Unwomens @ linkedin and Facebook's fanclub of Yunus Bangla2.0 benchmark for all UN gov2.0 servanrs of SDGs, with million friends www.ed3dao.com (AI*metaverse*Digital Twins of Earth2.0) will try to celebrate & map every open diary date to futures for all but welcome probobo corespodents across 100 cities and all hemispheres and linguistic data sovereignties.
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Millennials & Parnets responsible for their generation no longer need UN SDGs -let’s Unite to Save our SpeciesSOS 17 .16 .15 .14 .13 .12 .11 .10 .9 .8 .7 .6 .5 .4 .3 .2 . 1 . Economistdiary.com .
join us at www.ai20s.com to explore what else could happen - eg id Musk helps Dr Yunus design Bangladesh 2.0 at same times AS USA game of 7 Trumps
If Elon Musk's Starlink were to provide optimal support to Dr. Muhammad Yunus, the Nobel Peace Prize laureate and founder of the Grameen Bank, in his ongoing efforts to design a "new nation" of Bangladesh centered around poverty museums and women empowerment, the impact could be transformative. Starlink's high-speed, low-latency satellite internet could address critical infrastructure gaps in Bangladesh, enabling Dr. Yunus' vision to scale rapidly and reach even the most remote communities. Here's how this collaboration could unfold and its potential outcomes:
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### 1. Empowering Women Through Connectivity
- Digital Literacy and Education: Starlink could provide internet access to rural areas, enabling women to access online education, vocational training, and resources for entrepreneurship. This aligns with Dr. Yunus' focus on empowering women as key drivers of economic development.
- Microfinance and E-Commerce: With reliable internet, women in rural areas could participate in digital marketplaces, expanding their businesses beyond local markets. Grameen Bank's microfinance initiatives could integrate digital payment systems, making financial transactions faster and more secure.
- Telemedicine and Healthcare: Internet access could enable women to access telehealth services, improving maternal and child health outcomes in underserved regions.
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### 2. Poverty Museums as Centers of Learning and Innovation
- Virtual Tours and Global Awareness: Starlink could enable poverty museums to offer virtual tours, raising global awareness about poverty and inspiring international collaboration to address it.
- Interactive Learning: High-speed internet could facilitate interactive exhibits, live-streamed workshops, and online courses on poverty alleviation, social business, and sustainable development.
- Data Collection and Analysis: Internet connectivity could allow poverty museums to collect and analyze data on poverty trends, helping policymakers and researchers design targeted interventions.
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### 3. Scaling Social Business Models
- Global Reach: Starlink could connect Dr. Yunus' social businesses (e.g., Grameen Phone, Grameen Shakti) to global markets, enabling them to scale their impact and attract international investment.
- Digital Platforms for Social Business: A dedicated online platform could connect social entrepreneurs, investors, and beneficiaries, fostering collaboration and innovation in poverty alleviation.
- Real-Time Monitoring and Evaluation: Internet access could enable real-time tracking of social business projects, ensuring transparency and accountability.
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### 4. Bridging the Urban-Rural Divide
- Remote Work Opportunities: Starlink could enable rural residents to access remote work opportunities, reducing migration to urban areas and promoting balanced regional development.
- Agricultural Innovation: Farmers could use internet-connected devices to access weather forecasts, market prices, and best practices, increasing productivity and income.
- Disaster Preparedness and Response: Reliable internet could improve early warning systems and coordination during natural disasters, which are common in Bangladesh.
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### 5. Catalyzing a Global Movement
- Inspiring Other Nations: The success of Dr. Yunus' model in Bangladesh, supported by Starlink, could inspire other developing nations to adopt similar approaches to poverty alleviation and women empowerment.
- Global Partnerships: Starlink's involvement could attract other tech giants, NGOs, and governments to collaborate with Dr. Yunus, creating a global network of support for his vision.
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### Challenges and Considerations
While the potential benefits are immense, there are challenges to consider:
- Affordability: Ensuring that Starlink's services are affordable for low-income communities will be critical.
- Digital Literacy: Training programs will be needed to help rural populations, especially women, make the most of internet access.
- Sustainability: The initiative must be environmentally sustainable, aligning with Dr. Yunus' focus on social and ecological responsibility.
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### Conclusion:
If Elon Musk's Starlink provides optimal support to Dr. Muhammad Yunus, it could accelerate the transformation of Bangladesh into a model nation centered on poverty eradication, women empowerment, and social business. By bridging the digital divide, Starlink could enable Dr. Yunus' vision to reach new heights, inspiring a global movement to redefine development and create a more equitable world. This collaboration would not only honor Dr. Yunus' six decades of groundbreaking work but also demonstrate the power of technology to drive social change.
YLNEXTDOOR: This group in Maryland - a few safe miles from the White Hpouse - is for sharing ideas on how anyone can double intelligence in next 5 years - don't get left out. I doubt chances to co-create intel will ever be as free again. This may be the greatest collaboration opporunity 8 billion peoples ever enjoy.
Peoples and places will win wherever education is changed from examining to helping each other multiply intelligences. This isnt a new idea but we now have up to a quintrillion times more tech than the days of slide rulers in my high school.- i know some folk who have been playing with small steps as well as giant leaps for over 50 years. The more the world changes the more mmotional intelligence and mental health are integrat to start (subconscioulsy sensing) at the earliest.
As author Lois McGuire of Don't Be That Kid" reveals - this starts by age 8/9- don't be the kid that bullies, distracts, or selects who's in. From now on as soon as a child can read she or he should be choosing experiences not memorising (the kind of factoids machines can now deliver). Moreover as the Lancet has argued for most of this millennium, one of the great missing curricula is peer to peer pre teens health. Translating in any joymaking way is something every community's diversity needs everyone to help do now. Arts and crafts are as important to play as sports or fashion design. We can help chats get deeper in seeing every loving action - if we don't those chats will get more and more superficial. We are in the first school year that every device including personal computers - is being redesigned around AI. For example, of like me you are not good at filing notes, ai isnt doing you much good until it helps with that more than selling you stuff. Real curiosity is also the way to innoculate you and yours from being marooned by fake news.
.welcome - pls click here if you want to start at top of blog of AI and UN goals superstars
AI20s & AIverygood hall of fame *dedication Von Neumann
09.1 Dr Fei-Fei Li (FFL) 1 arrives from Princeton at Stanford - she's probably first mathematician in 50 years to emulate Neumann-Einstein-Turing but she would never claim that- she begins annual open vision computer deep learning competition imagenet: her doctorate blends neuroscience and computing in new to 21st c world idea :if we train computers to see we can ask them to solve challenges they see all around humans without most of traditional computer programing 09.2 At Stanford Andrew Ng best teacher92.23 founder of Mooc, also AIfund and Stanford's Mr coding greets FFL 09.3 at Stanford Jerty Yang who has sold yahoo now investing in us-asia graduates stanford as well as clouds etc 09.4 Hassabis comes from london - exchanges theses with FFL; the two set forth to change world with best ai; 2011 Hasabis gets funds to launch deepmind company; merges with google 2014 ; leads world in science ai; eg alphfold2 translates ability as world champion at go to mapping 200000 proteins donated in an open databank saving biotech millions of years of work 11.1 Jefffrey Dean 1 2 founds google brain - now sister towns mountain view and stanford (palo alto) ready for humanity's ost exciting race with intelligence
12.5 ai in education starts being debated at Sheika Moza global education laureates which are founded with alumni of fazle abed as well as her building of women ed city and university campus and refugee edu epicentre educationaboveall - several asian countries start discussing ai as a k-12 literacy (the idea being that kindergarten teachers up are part of visioning ai as a lens to 21st c tech current affairs and future generation) 13.1 Jim Kim at world bank is first multilateral leader to talk about how can ai help- his persistence transfers to Guterres 13.2 Ms Clara Wu Tsai HU0 12 (Stanford alumn 88, Brooklyn Resident 12 3) lead funder of Stanford Neuroscience building; also Yale Neuroscience; Many Brooklyn foundations & sports- racial justice 50mn previously HK
15.1 open ai starts as a foundation with 10 mn $ funding by Elon Musk; around 2018 Musk leaves so as not to cause coflict with his ai research at spacex and tesla; in 2019 foundation openai controversially becomes a corporate ipoand origin of chatgpt 17.1 Guterres 17.2 Melinda Gates 17.3 ceo nvidia jensen huang (1) helps co-found ai-4-all.org with melinda gates- schools curriculum edited by fei-fei li ai-4=all.org including ai dance for 7 year olds up- see range of 10 currcula and intent to mentor high school engineering girls into good ai college pathways<br>
- i am really not sure a person should be in education (or public service) from now on if they are not aware of these <a href="https://ai-4-all.org/resources/">first 10 ai modules</a> - i am not saying mos schools need to eg teach neural networks but they will be in the middle of ever innovation that improves millennials lives and the peculiar thing as a neuroscience idea NN began in the 1940s and was on v neumann's last lectures wishlist of future of computer and the brain- go to 21 fr next leap as Hassabis' deepmindscvracks 200000 protein codes now open sourced; and brand news labs for neuroscientists - mrs tsai building stanford with czi making this one o3 regional zones of biohub dunding and ai2 in seattle another ai biotech leader<br>
*ai kindergarten up can do ai dance and ai drawing
*ai ten year olds up can do ethics and nature
*anyone who decides their life is going to be in tech, maths on engieerin can start on the ai of Neural Networks 1 NN 2 CNN 3 RAN 4 BAN 17.4 stanford alumni/google leaders 17.5 Paul Allen foundation AI2 etioni those who have sposored labs etc on campus give first chance to join launches of stanford hai -see eg 17.6 hoffman- ai projects comoetition with yee 17.7 prscilla chan czi lab stanford plus 2 17.8 nobel chemist jennifer doudno gene databank - ffl and jennifer become good friends comparing similarities in their work
18.1 Lila Ibrahim moves from Coursera to be COO at London Deep Mind
19 it feels like 30+ billionaires joined in launch stanford HAI - more details coming soon-
21 everything is converging on biotech with deepmind protein database alphafold2, stanford (tsai building) from 13.2 neuroscientists now have their own space - 21.1Ada poon connects tsai, czi and stanford engineering with devices relevant to data collection ai health 23 another giant leap for education - who'd want to school where teachers not aware of melinda gates 4 book library - empowering womens intelligence; and giant convergence of HAI as hassabis deep mind london merges with google brain
Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton are three of the most influential people in the field of artificial intelligence. They are best known for their work on convolutional neural networks (CNNs), which are a type of machine learning algorithm that is widely used in image recognition and computer vision.
In 2012, Krizhevsky, Sutskever, and Hinton entered the ImageNet Large Scale Visual Recognition Challenge, a competition to develop a computer algorithm that could accurately identify objects in images. Their algorithm, called AlexNet, won the competition by a large margin, and it is considered to be a landmark achievement in the field of AI.
Since then, Krizhevsky, Sutskever, and Hinton have continued to work on CNNs and other AI technologies. Krizhevsky is now a research scientist at Google AI, Sutskever is the co-founder and chief scientist of OpenAI, and Hinton is a professor emeritus at the University of Toronto.
Here is a brief overview of what each of these three people has done in the past 11 years:
Alex Krizhevsky: After winning the ImageNet Large Scale Visual Recognition Challenge, Krizhevsky joined Google AI, where he has worked on a number of projects, including developing new CNN architectures and improving the performance of CNNs on large datasets. He is also the co-author of the book "Deep Learning." Ilya Sutskever: After winning the ImageNet Large Scale Visual Reinforcement Learning Challenge, Sutskever co-founded OpenAI, a non-profit research laboratory that is dedicated to developing safe and beneficial artificial general intelligence. He is also the co-author of the paper "Learning to Generate Text with Differentiable Neural Networks," which introduced the Transformer model, which is now widely used in natural language processing. Geoffrey Hinton: After winning the ImageNet Large Scale Visual Recognition Challenge, Hinton continued his research on CNNs and other AI technologies. He has published numerous papers on AI, and he is considered to be one of the leading experts in the field. In 2018, he was awarded the Turing Award, which is the highest honor in computer science. It is difficult to say definitively why Hinton is now the most famous of the three. He is likely the most famous because he is the oldest and most experienced of the three, and he has a long track record of pioneering research in AI. He is also the only one of the three who has won the Turing Award.
However, it is important to note that all three of these individuals have made significant contributions to the field of AI. They are all pioneers in the field of CNNs, and their work has had a major impact on the development of AI technologies
chrismacrae.comyoutube washington dc email chris.macrae@yahoo.co.uk linkedin 9500 skype chrismacraedc co-author with The Economist's Norman Macrae 1984's 2025Report - 40 years to transform education and save our species
Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton are three of the most influential people in the field of artificial intelligence. They are best known for their work on convolutional neural networks (CNNs), which are a type of machine learning algorithm that is widely used in image recognition and computer vision.
ReplyDeleteIn 2012, Krizhevsky, Sutskever, and Hinton entered the ImageNet Large Scale Visual Recognition Challenge, a competition to develop a computer algorithm that could accurately identify objects in images. Their algorithm, called AlexNet, won the competition by a large margin, and it is considered to be a landmark achievement in the field of AI.
Since then, Krizhevsky, Sutskever, and Hinton have continued to work on CNNs and other AI technologies. Krizhevsky is now a research scientist at Google AI, Sutskever is the co-founder and chief scientist of OpenAI, and Hinton is a professor emeritus at the University of Toronto.
Here is a brief overview of what each of these three people has done in the past 11 years:
Alex Krizhevsky: After winning the ImageNet Large Scale Visual Recognition Challenge, Krizhevsky joined Google AI, where he has worked on a number of projects, including developing new CNN architectures and improving the performance of CNNs on large datasets. He is also the co-author of the book "Deep Learning."
Ilya Sutskever: After winning the ImageNet Large Scale Visual Reinforcement Learning Challenge, Sutskever co-founded OpenAI, a non-profit research laboratory that is dedicated to developing safe and beneficial artificial general intelligence. He is also the co-author of the paper "Learning to Generate Text with Differentiable Neural Networks," which introduced the Transformer model, which is now widely used in natural language processing.
Geoffrey Hinton: After winning the ImageNet Large Scale Visual Recognition Challenge, Hinton continued his research on CNNs and other AI technologies. He has published numerous papers on AI, and he is considered to be one of the leading experts in the field. In 2018, he was awarded the Turing Award, which is the highest honor in computer science.
It is difficult to say definitively why Hinton is now the most famous of the three. He is likely the most famous because he is the oldest and most experienced of the three, and he has a long track record of pioneering research in AI. He is also the only one of the three who has won the Turing Award.
However, it is important to note that all three of these individuals have made significant contributions to the field of AI. They are all pioneers in the field of CNNs, and their work has had a major impact on the development of AI technologies