260SmithWatt 70Neumann 50F.Abed , AI20s.com Fei-Fei Li, Zbee
HumansAI.com NormanMacrae.net AIGames.solar EconomistDiary.com Abedmooc.com
AIVeryGood testimonies Feb 24: Nvidia CEO LLM World Gov UNG 17 AI Policy Condy Rice B16-9: World Bank Ajay Banga : Help AI World Series code & catalogue AI champions advancing humanity and matching opportunities of sustainability goals and millennials' world champions |
Onwards with King Charles AI World Series cf onwards world bank Banga's liveable Planet & Guterres UN2.0
@ Top of Millennials Intelllgence World
@ King Charles @ Hasabis uk-us leader of natural science AI;
@Fei-Fei Li leader code AI of 20000 everyday identities (Imagenet 2012 ends AI Winter)
@ Bengio from Canada nominated to diarise Ai world series as well as corresponding role Guterres UN AI Science panel
longer list of corporates ....
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The Nvidia A100 is the workhorse of today’s AI ecosystem. This week on No Priors, Sarah Guo and Elad Gil sit down with Jensen Huang, the founder and CEO of NVIDIA, at their Santa Clara headquarters. Jensen co-founded the company in 1993 with a goal to create chips that accelerated graphics. Over the past thirty years, NVIDIA has gone far behind gaming and become a $674B behemoth. Jensen talks about the meaning of this broader platform shift for developers, making very long term bets in areas such as climate and biopharma, their next-gen Hopper chip, why and how NVIDIA chooses problems that are unsolvable today, and the source of his iconic leather jackets. 00:00 - Introduction 01:26 - The early days when Jensen Co-founded NVIDIA 04:58 - Why NVIDIA started to expand its aperture to artificial intelligence use cases 10:42 - The moment in 2012 Jensen realized AI was going to be huge 13:52 - How we’re in a broader platform shift in computer science 17:48 - His vision for NVIDIA’s future lines of business 18:09 - How NVIDIA has two motions: Shipping reliable chips and solving new use cases 25:41 - Why no one should assume they’re right for the job of CEO and why not every company needs to be architected as the US military 31:39 - What’s next for NVIDIA’s Hopper 32:57 - Durability of Transformers 35:08 - What Jensen is excited about in the future of AI & his advice for founders
ROI in 1.5 Days sounds like 8 billion people's intel could benefit linking 1.5
- Well giddy up : actually (having been Bradford Business Schools Senior Visiting Fellow of Exponential Risk Mapping in 1990s while seconded to WPP and PWC) I like Joshua Bengio (sincerely a decent mathematician beyond my grain cells), but yesterday, did 23 heads of nations (mediated by Korea & UK) truly need to discuss this sort of presentation (or the full monty footnoted) https://www.youtube.com/watch?v=bDLfV4MU1Ns ??
ALTERNATIVE ROUTE TO LAST 120 DAYs OF UN FUTURE (NY sept 2024) let alone Macron-Charles AI World Series 3: I am writing to Royaume Unie Events producer Michelle D
to suggest much better time management could have been gravitated by yesterday's Death of PC Aged 40
and tomorrows future-medicine briefing Johns Hopkins by founders of Pixar & Nvidia
Can we discuss 2 by 2 race. Exponential Renewability of generations not ending generations. Edu agency of Very Good Intel not very bad intel.
Yesterday saw death of personal computer at age of 40. If any of Neumann-Einstein-Turing had survived to moon landing, I expect they would have giant leaped to GTU design then
Its being replaced by multivariable analysis supplied chains such as collabs of eg Jensen Huang, Michael Dell, Founder of Pixar, John Hopkins component of Bloomberg Hopkins,, Demis Hassabis, Kings Estate which owns Cambridge Business Park as potential twin of Stanford as well as BBC Nature :Taiwanese Mother Tongue and Kings English are in play as is UN or whatever multilateral system maps value openly and trans-society. Plus anyone's "Truth" you nominates as uniting (time , data , trust not just money) of 8 billion peoples good intel (Evidence Eg Fazle Abed microfranchises of billion female villagers) and exponential renewability of generations. According to dad's notes with The Economist: and Von Neumann: King Charles (as prince he was delegated to attend Tokyo Olympics) and Japan Emperors took up this race in 1964 in memory of JFK and the NET (Neumann Einstein Turing). eg Charles friended Emperor family on green issues (& royal pastime tennis!) and got Akio Morita Sony to be first inward investor in Europe. The Queens English has through Smithian editors since birth of Economist 1843 tried to reverse ruling the waves of slavemakers albeit not fast enough for all Asian sustainability yet.. King Charles AI world series needs to be about UPKLM not Artificial Gen Intel. Where UP = United Peoples 8 billion good intelligences. Kings Language Mapping = data sovereignty locally of language culture geonomic & human diversity, stories parents tell not what commercial media spins. I am sure each of you can describe this race better than me ...
Celebrating Last 100 days of chat - chris.macrae@yahoo.co.uk Wash DC, friends20/AI20s Ewomen : Glasgow & Virtual TaiwanJapan-Hong Kong Entrepreneurial Revolution
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KIng Charles AI: Footnote in more depth if i understand this is vision of Bengio and 75 who appear to argue that 193 Nation's leaders need to see their inputs beginning and ending with the nebulous and oft over-optimistic ETA of Artificial General Intel
https://assets.publishing.service.gov.uk/media/66474eab4f29e1d07fad...
Contributors CHAIR Prof. Yoshua Bengio, Université de Montréal / Mila - Quebec AI Institute
EXPERT ADVISORY PANEL
Prof. Bronwyn Fox, The Commonwealth Scientific and Industrial Research Organisation (CSIRO) (Australia)
André Carlos Ponce de Leon Ferreira de Carvalho, Institute of Mathematics and Computer Sciences, University of São Paulo (Brazil)
Dr. Mona Nemer, Chief Science Advisor of Canada (Canada)
Raquel Pezoa Rivera, Federico Santa María Technical University (Chile)
Dr. Yi Zeng, Institute of Automation, Chinese Academy of Sciences (China)
Juha Heikkilä, DG Connect (European Union)
Guillaume Avrin, General Directorate of Enterprises (France)
Prof. Antonio Krüger, German Research Center for Artificial Intelligence (Germany)
Prof. Balaraman Ravindran, Indian Institute of Technology, Madras (India)
Prof. Hammam Riza, KORIKA (Indonesia)
Dr. Ciarán Seoighe, Science Foundation Ireland (Ireland)
Dr. Ziv Katzir, Israel Innovation Authority (Israel)
Dr. Andrea Monti, University of Chieti-Pescara (Italy)
Dr. Hiroaki Kitano, Sony Group (Japan) [Interim]
Mary Kerema, Ministry of Information Communications Technology and Digital Economy (Kenya)
Dr. José Ramón López Portillo, Q Element (Mexico)
Prof. Haroon Sheikh, Netherlands’ Scientific Council for Government Policy (Netherlands)
Dr. Gill Jolly, Ministry of Business, Innovation and Employment (New Zealand)
Dr. Olubunmi Ajala, Innovation and Digital Economy (Nigeria)
Dominic Ligot, CirroLytix (Philippines)
Prof. Kyoung Mu Lee, Department of Electrical and Computer Engineering, Seoul National University (Republic of Korea)
Ahmet Halit Hatip, Turkish Ministry of Industry and Technology (Republic of Turkey)
Crystal Rugege, National Center for AI and Innovation Policy (Rwanda)
Dr. Fahad Albalawi, Saudi Authority for Data and Artificial Intelligence (Kingdom of Saudi Arabia)
Denise Wong, Data Innovation and Protection Group, Infocomm Media Development Authority (IMDA) (Singapore)
Dr. Nuria Oliver, ELLIS Alicante (Spain)
Dr. Christian Busch, Federal Department of Economic Affairs, Education and Research (Switzerland)
Oleksii Molchanovskyi, Expert Committee on the Development of Artificial intelligence in Ukraine (Ukraine)
Marwan Alserkal, Ministry of Cabinet Affairs, Prime Minister’s Office (United Arab Emirates)
Saif M. Khan, U.S. Department of Commerce (United States)
Dame Angela McLean, Government Chief Scientific Adviser (United Kingdom)
Amandeep Gill, UN Tech Envoy (United Nations)
International Scientific Report on the Safety of Advanced AI: Interim Report 3 WRITING GROUP
Daniel Privitera (lead writer), KIRA Center
Tamay Besiroglu, Epoch AI
Rishi Bommasani, Stanford University
Stephen Casper, Massachusetts Institute of Technology
Yejin Choi, University of Washington/A12
Danielle Goldfarb, Mila - Quebec AI Institute
Hoda Heidari, Carnegie Mellon University
Leila Khalatbari, Hong Kong University of Science and Technology
Shayne Longpre, Massachusetts Institute of Technology
Vasilios Mavroudis, Alan Turing Institute
Mantas Mazeika, University of Illinois at Urbana-Champaign
Kwan Yee Ng, Concordia AI
Chinasa T. Okolo, Ph.D, The Brookings Institution
Deborah Raji, Mozilla
Theodora Skeadas, Humane Intelligence
Florian Tramèr, ETH Zürich
SCIENTIFIC COORDINATOR Sören Mindermann, Mila - Quebec AI Institute SENIOR ADVISERS
Bayo Adekanmbi, Data Science Nigeria
Paul Christiano, contributed as a Senior Adviser prior to taking up his role at the US AI Safety Institute
David Dalrymple, Advanced Research + Invention Agency (ARIA)
Thomas G. Dietterich, Oregon State University
Edward Felten, Princeton University
Pascale Fung, Hong Kong University of Science and Technology, contributed as a Senior Adviser prior to taking up her role at Meta
Pierre-Olivier Gourinchas, International Monetary Fund (IMF)
Nick Jennings CB FREng FRS, University of Loughborough
Andreas Krause, ETH Zurich
Percy Liang, Stanford University
Teresa Ludermir, Federal University of Pernambuco
Vidushi Marda, REAL ML
Helen Margetts OBE FBA, University of Oxford/Alan Turing Institute
John A. McDermid OBE FREng, University of York
Arvind Narayanan, Princeton University
Alondra Nelson, Institute for Advanced Study
Alice Oh, KAIST School of Computing
Gopal Ramchurn, RAI UK/UKRI TAS Hub/University of Southampton
Stuart Russell, University of California, Berkeley
Marietje Schaake, Stanford University
Dawn Song, University of California, Berkeley
Alvaro Soto, Pontificia Universidad Católica de Chile
Lee Tiedrich, Duke University
Gaël Varoquaux, The National Institute for Research in Digital Science and Technology (Inria)
Andrew Yao, Institute for Interdisciplinary Information Sciences, Tsinghua University
Ya-Qin Zhang, Tsinghua University
SECRETARIAT UK Government Secretariat hosted by the AI Safety Institute Benjamin Prud’homme, Mila - Quebec AI Institute
ACKNOWLEDGEMENTS The Secretariat appreciate the helpful support, comments, and feedback from the following UK-based organisations: Ada Lovelace Institute, The Alan Turing Institute, The Centre for Long-Term Resilience, Centre for the Governance of AI, and UK AI Safety Institute. Also a special thanks to Dan Hendrycks, Dylan Hadfield-Menell, and Pamela Samuelson
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Chris Macrae MA DAMTP Cantab on LinkedIn
Chris Macrae MA DAMTP Cantab on LinkedIn
Chris Macrae MA DAMTP Cantab on LinkedIn
from radio davos /sept 2023 - world economic forum
The Netherlands has been an innovation engine for centuries, giving us the world’s first multinational corporation, telescope, and cassette tape. Now, it’s an essential link in a backbone of innovative silicon keeping the global economy upright.
The mixture of happenstance and geostrategy that helped make this small European country key to the global semiconductor market is depicted in delicious detail in Chris Miller’s “Chip War.” The book, published last fall, couldn’t have been better timed.
Miller, an associate professor of international history at the Fletcher School, uses a colorful cast of characters to tell the story of a truly pivotal industry’s formation, and explain why altering it in a meaningful way seems unlikely any time soon – regardless of mounting geopolitical pressure.
Chips are coveted not least for the role they play in artificial intelligence tools seemingly poised to shake things up for just about everyone. The more we want them, though, the more expensive and difficult they are to make. It’s all gotten very complicated.
Take the Dutch niche in the supply chain, for example – it’s based on one company's machine “that took tens of billions of dollars and several decades to develop,” Miller writes, and uses light to print patterns on silicon by deploying lasers that can hit 50 million tin drops per second.
It’s an industry full of such mind-bending extremes.
In an interview with the Forum’s Radio Davos podcast, Miller marvelled at having recently visited a facility in the US being built with “seventh-biggest crane that exists in the world,” which will eventually assemble chips mounted with transistors “roughly the size of a coronavirus.”
Nvidia, the company now most closely identified with chips powering artificial intelligence, features prominently in Miller’s book. The company traces its roots to a meeting at a 24-hour diner on the fringes of Silicon Valley, he writes. At a certain point it realized that its semiconductors used for video-game graphics could do a good job of training AI systems. Earlier this year, its market value increased by $184 billion in a single day.
Nvidia’s chips aren’t made anywhere near Silicon Valley, though. Like most advanced semiconductors they’re produced by another company, TSMC, at a facility in Taiwan, China that Miller describes as “most expensive factory in the world.”
In fact, US chip production in general has declined sharply in recent decades.
Instead, the country has focused on research and design, while relying on links with East Asia and the Netherlands for other elements. But those links risk becoming “choke points,” as Miller describes them, if they’re disrupted by conflict or a natural disaster (it’s not just the plot of a 1980s James Bond film; Miller noted in his Radio Davos interview that an unsettling amount of the industry is located in places relatively prone to earthquakes).
These hazards, and global competition that’s formed harder edges of late, have fueled efforts to build chip resilience through greater independence.
That massive crane Miller mentioned is being put to work in the state of Arizona, which may be a key part of a current US government effort to “win the race for the 21st century” through semiconductor manufacturing.
The EU has its own initiative designed to strengthen chip competitiveness and resilience.
And a proposed, $20 billion effort to build India’s first semiconductor factory (or “fab,” in industry lingo) recently fell through when a key partner backed out.
In his Radio Davos interview, Miller said the daunting size of the previously planned investment in India is about standard for any new, fully-fledged manufacturing facility. Critics of what the US spends on its military might like to know that “making semiconductors is so expensive that even the Pentagon can’t afford to do it in-house,” he writes.
Sharing the considerable financial burden of making chips was long ago deemed necessary. Research in one country, building elaborate lithography tools in another, manufacturing in another, and finally assembling in yet another. The system works in good times; in less-good times it seems problematic.
The shape of the industry was no accident, though.
“Microelectronics is a mechanical brain,” Soviet leader Nikita Khrushchev pronounced in the depths of the Cold War, according to Miller’s book, “It is our future.” Khrushchev was right, but maybe not exactly in the way he would have liked.
At that time, the US was only about four years ahead of the Soviets in chip technology, as the industry’s earliest companies like Fairchild Semiconductor and Texas Instruments focused on space exploration and nuclear weapons.
Once those firms tapped into the vast American consumer market via electronics, the rest was history, Miller writes. An arms race with nuclear warheads was one thing, a race to cram millions of transistors onto a single chip was another. The Soviets fell behind, and Asia came to the fore.
Fairchild began sending its chips to Hong Kong SAR for assembly in the early 1960s. A couple of decades after that, a one-time English literature student named Morris Chang founded TSMC in Taiwan, China. The company now churns out roughly 90% of the world’s advanced chips, and has recently been filing a sizeable portion of global semiconductor patent applications.
Having the right chips or not can make a big difference in a technology market, or on a battlefield.
But, as Miller notes, going it alone in such an expensive and complex industry has never worked. It’s unclear whether forming distinct, competing supply chains would be much better.
One of the most compelling points Miller makes is that among the many things about chips we take for granted, the biggest might be the mind-blowing increases in computing power they give us year after year.
But there’s no guarantee that will continue. Moore's Law, which long ago posited that the power crammed onto a single chip would double about every two years, has so far proven resilient. But it isn’t really a law – it’s just an educated guess.
For more context, here are links to further reading from the World Economic Forum's Strategic Intelligence platform:
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The views expressed in this article are those of the author alone and not the World Economic Forum.
Most recent follows f joe white, uk's number 1 envoy of twin cities and citizens f king charles ai summit
paer 2 recent follows joe white uk envy to digital ai twin cities aligned king charles ai world series
, marking a world-first on the opening day of the AI Seoul Summit (Tuesday 21 May).
As two days of talks get underway, Zhipu.ai (China) and the Technology Innovation Institute (UAE) are among companies that have signed up to the fresh ‘Frontier AI Safety Commitments’:
Where they have not done so already, AI tech companies will each publish safety frameworks on how they will measure risks of their frontier AI models, such as examining the risk of misuse of technology by bad actors.
The frameworks will also outline when severe risks, unless adequately mitigated, would be “deemed intolerable” and what companies will do to ensure thresholds are not surpassed.
In the most extreme circumstances, the companies have also committed to “not develop or deploy a model or system at all” if mitigations cannot keep risks below the thresholds.
On defining these thresholds, companies will take input from trusted actors including home governments as appropriate, before being released ahead of the AI Action Summit in France in early 2025.
The 16 companies who have agreed to these commitments represent the most significant AI technology companies around the world, including representation from the US and China, the world’s two biggest AI powers.
Prime Minister, Rishi Sunak, said:
It’s a world first to have so many leading AI companies from so many different parts of the globe all agreeing to the same commitments on AI safety.
These commitments ensure the world’s leading AI companies will provide transparency and accountability on their plans to develop safe AI.
It sets a precedent for global standards on AI safety that will unlock the benefits of this transformative technology.
The UK’s Bletchley summit was a great success and together with the Republic of Korea we are continuing that success by delivering concrete progress at the AI Seoul Summit.
Technology Secretary Michelle Donelan said:
The true potential of AI will only be unleashed if we’re able to grip the risks. It is on all of us to make sure AI is developed safely and today’s agreement means we now have bolstered commitments from AI companies and better representation across the globe.
The UK is a world leader when it comes to AI safety, and I am continuing to galvanise other nations as we place it firmly on the global agenda and capitalise on the Bletchley Effect.
With more powerful AI models coming online, and more safety testing set to happen around the world, we are leading the charge to manage AI risks so we can seize its transformative potential for economic growth.
Republic of Korea Minister Lee said:
Ensuring AI safety is crucial for sustaining recent remarkable advancements in AI technology, including generative AI, and for maximizing AI opportunities and benefits, but this cannot be achieved by the efforts of a single country or company alone.
In this regard, we warmly welcome the ‘Frontier AI Safety Commitments’ established by global AI companies in collaboration with the governments of the Republic of Korea and the UK during the ‘AI Seoul Summit’, and we expect companies to implement effective safety measures throughout the entire AI lifecycle of design, development, deployment and use.
We are confident that the ‘Frontier AI Safety Commitments’ will establish itself as a best practice in the global AI industry ecosystem, and we hope that companies will continue dialogues with governments, academia, and civil society, and build cooperative networks with the ‘AI Safety Institute’ in the future.
These commitments build on the groundbreaking agreements made with leading AI tech companies at Bletchley Park during the first AI Safety Summit six months ago, as well as other existing commitments such as the US Voluntary Commitments and the Hiroshima Code of Conduct.
Tino Cuellar, President of the Carnegie Endowment for International Peace said:
As the world continues to wrestle with opportunities and risks from frontier AI models, governments, private actors, and civil society all have key roles to play and must find productive ways to work together. Efforts like the safety commitments announced at the Seoul Summit will play a central role in strengthening effective governance and helping countries strike a sensible balance between innovation and safety.
Tom Lue, General Counsel and Head of Governance, Google DeepMind said:
These commitments will help establish important best practices on frontier AI safety among leading developers. The agreement demonstrates the value of focused international Safety Summits, where scientifically-grounded conversations can take place.
Reid Hoffman, co-founder of LinkedIn and Inflection.AI, said:
AI is and will make massive improvements to human life and work. But it is also very important to navigate the risks. That’s why these commitments are such a crucial step forward in managing the most severe risks of advanced AI.”
We applaud the UK and Republic of Korea for ensuring that developers globally implement the state of the art in frontier AI safety. We look forward to discussing our safety framework alongside other companies at the upcoming France AI summit.
Peng Zhang, CEO of Zhipu.ai said:
Artificial General Intelligence (AGI) holds the promise of transforming numerous aspects of our lives, but with this advanced technology comes the crucial responsibility of ensuring AI safety. As we delve deeper into the realms of AGI, it is imperative that we prioritize the development of robust safety measures to align AI systems with human values and ethical standards, thereby safeguarding our future in an AI-driven world.
Professor Yoshua Bengio, World leading AI researcher, Turing Prize winner, Lead author of the International Scientific Report on the Safety of Advanced AI, said
I am pleased to see leading AI companies from around the world sign up to the Frontier AI Safety commitments. In particular, I welcome companies’ commitments to halt their models where they present extreme risks until they can make them safe as well as the steps they are taking to boost transparency around their risk management practices.
This voluntary commitment will obviously have to be accompanied by other regulatory measures, but it nonetheless marks an important step forward in establishing an international governance regime to promote AI safety.
Ben Garfinkel, Director, Centre for the Governance of AI said:
These commitments represent a crucial and historic step forward for international AI governance. My expectation is that they will speed up the creation of shared standards for responsible AI development, help the public to judge whether individual companies are doing enough for safety, and support informed policy making around the world.
David Zapolsky, Senior Vice President of Global Public Policy and General Counsel, Amazon said:
Amazon is proud to endorse the Frontier AI Safety Commitments, which in many ways represent the culmination of a multi-year effort to establish global norms for the safe, secure, and trustworthy development and deployment of frontier AI. As the state of the art of AI continues to evolve, we agree that it is important for companies to provide transparency about how they are managing potential risks of frontier models and honoring their global commitments.
Ya-Qin Zhang, Chair Professor and Dean, Institute for AI Industry Research, Tsinghua University
I strongly welcome the world’s leading AI companies committing to managing the most severe risks posed by frontier models. These commitments by a diverse group of Chinese, American and international firms represent significant step forward on the public transparency of AI risk management and safety processes.
Gillian Hadfield, Schwartz Reisman Chair in Technology and Society at the University of Toronto said:
While the capabilities of emerging models are rapidly evolving, it is clear that the public and government leaders lack visibility to be able to assess and mitigate the risks posed by frontier AI models. The Frontier AI Safety Commitments represent a significant step towards tangible and effective regulation of AI, demonstrating a joint commitment to best practices in AI safety, increasing public transparency, and offering flexibility to allow for change as the landscape evolves.
Anna Makanju, VP of Global Affairs, OpenAI said:
The Frontier AI Safety Commitments represent an important step toward promoting broader implementation of safety practices for advanced AI systems, like the Preparedness Framework OpenAI adopted last year.
The field of AI safety is quickly evolving and we are particularly glad to endorse the commitments’ emphasis on refining approaches alongside the science. We remain committed to collaborating with other research labs, companies, and governments to ensure AI is safe and benefits all of humanity.
Chris Meserole, Executive Director, Frontier Model Forum said:
The commitments announced today are a significant step forward for frontier AI safety – proactively identifying, assessing and managing risks is essential to the safe development and deployment of the most capable AI systems. We look forward to working with industry, government, and the scientific community to turn the commitments into practice.
Dr. Najwa Aaraj, CEO, Technology Innovation Institute said:
The age of AI has arrived and the opportunities for society are immense. The power of generative AI and large language models is already transforming industries, but for us to reap the maximum benefit, we must keep trustworthiness and safety at the core of the technology’s development. The Technology Innovation Institute is a firm believer of trust and secure AI, committed to open source its large language models, and I am delighted to join the other global AI players here in Seoul to discuss and outline the roadmap for AI and set the direction for a safe but prosperous future for us all.
Dan Hendrycks, Safety Advisor to xAI said:
These voluntary commitments establish that the major AI companies around the globe agree on basic safety standards. This helps lay the foundation for concrete domestic regulation.
Professor Yi Zeng, Director of Center for Long-term AI, China, said:
These commitments should not only be welcomed in principle, but also be supported for actions. Assessing risks across the full lifecycle of AI and setting out risk thresholds for meaningful, effective and sufficient human control are the cores for raising the levels of safety for Frontier AI.
Experiences for actionable risk assessment need to be shared broadly so that mistakes do not repeat again and again across different institutes, companies, and countries. Thresholds need to be interoperable so that we are weaving a web of safe AIs, ensuring the safety not only for the self, but also for others, and for all of humankind.
Brad Smith, Vice Chair and President, Microsoft said:
In 2016, Microsoft began the work to implement a principled and human-centered approach to advancing AI systems in a safe, secure, and trustworthy manner. The Frontier AI Safety Commitments are an important acknowledgement of how safety frameworks must help to address risks that may emerge at the frontier of AI development, especially as their capabilities advance. The tech industry must continue to adapt policies and practices, as well as frameworks, to keep pace with science and societal expectations.
Christina Montgomery, Chief Privacy and Trust Officer, IBM:
IBM believes that effective regulation coupled with corporate accountability will allow businesses and society at large to reap the benefits of AI. As such we are proud to continue our international engagement and our commitment to safe and responsible development of these technologies via the AI Seoul Summit.
Brian Tse, Founder and CEO, Concordia AI, Beijing-based social enterprise focused on AI safety and governance, said:
The Frontier AI Safety Commitments represent a crucial step forward in the risk management of advanced AI models. Building on the foundation laid by the Bletchley Declaration, the Commitments hold frontier AI developers accountable for the risks posed by their most powerful systems. I look forward to working with AI developers, governments, third-party evaluators, and other stakeholders to ensure the highest standards of AI safety are upheld for the benefit of humanity.
Beth Barnes, founder and head of research at METR, globally leading research non-profit for Frontier AI model safety, said:
We think it’s vital to get international agreement on the “red lines” where AI development would become unacceptably dangerous to public safety without adequate mitigation. We’re excited to see many parties agreeing to set out such red lines in the Frontier AI Safety Commitments. We admire the UK and South Korea’s leadership in establishing these commitments.
Michael Sellitto, Head of Global Affairs at Anthropic said:
The Frontier AI safety commitments underscore the importance of safe and responsible frontier model development. As a safety-focused organization, we have made it a priority to implement rigorous policies, conduct extensive red teaming, and collaborate with external experts to make sure our models are safe. These commitments are an important step forward in encouraging responsible AI development and deployment.
Nick Clegg, President, Global Affairs at Meta said:
Ensuring that safety and innovation go hand and hand is more critical than ever as industry makes massive strides in developing AI technology. To that end, since Bletchley last year, we’ve launched our latest state-of-the-art open source model, Llama 3, as well as new open-source safety tooling to ensure developers using our models have what they need to deploy them safely. As we’ve long said, democratizing access to this technology is essential to both advance innovation and deliver value to the most people possible. Ahead of next year’s Summit, we look forward to continued streamlining of international initiatives to ensure a global approach to responsible AI.
Aidan Gomez, Co-founder and CEO of Cohere said:
We are grateful for the UK and Republic of Korea’s leadership developing a framework to address potential risks associated with frontier AI models. Cohere is encouraged that in the months since Bletchley Park, the UK, and the industry generally, have increasingly focused on the most pressing concerns, including mis- and dis- information, data security, bias and keeping humans in the loop. It is essential that we continue to consider all possible risks, while prioritizing our efforts on those most likely to create problems if not properly addressed.
Kiril Evtimov, Group CTO, G42, said:
G42 is proud to join this coalition of companies dedicated to advancing AI safely and responsibly. By committing to rigorous safety frameworks and transparent governance, we are not only safeguarding our technological advancements but also paving the way for a future where AI benefits all of humanity. This agreement underscores our collective responsibility and the power of international collaboration in shaping the ethical development of AI.
The ‘Frontier AI Safety Commitments’ can be found in full here.
More information on previous commitments made at Bletchley Park’s AI Safety Summit can be found here.
UAE
Dr. Yoelle Maarek is Chief Researcher for AI/IR at the Technology Innovation Institute (TII), a leading global scientific research center based in the UAE. She leads the development of new methods to improve the capabilities of TII’s family of Large Language Models, Falcon. Dr. Maarek brings to her role more than three decades of experience in conducting research and development in information retrieval, web search, and data mining.
Prior to TII, Dr. Maarek held executive roles at several tech companies such as Amazon, where she served as Vice President of Science and Research, overseeing global operations for Alexa Shopping Research. She was also the Vice President of Research at Yahoo. She also held top level positions with IBM Research, first in the US, then in Israel. Later, she served as the Director of Engineering at Google, where she opened the first engineering center in Israel and launched Google Suggest. Throughout her illustrious career, she has led the launch of multiple products and features, as well as published more than 80 research articles and holds dozens of patents.
Dr. Maarek earned a Ph.D. in Computer Science from the Technion, Israel in 1989, and an engineering degree from the Ecole Nationale des Ponts et Chaussées, and a diplôme d'études approfondies (DEA) in Computer Science from Paris VI University, both conferred in 1985.
Dr. Yoelle Maarek is an ACM Fellow, and a member of the US National Academy of Engineering, and of the ACM SIGIR Academy.
Follow our groundbreaking developments and catch up with the latest news releases.
The Technology Innovation Institute (TII) is a leading research organization that focuses on developing cutting-edge technologies to solve real-world problems.
https://www.tii.ae/ai-and-digital-science
Dr. Najwa Aaraj
Chief Executive Officer
Un 1951 my dad who had survived being teen navigatir allied bomber command burma campaign was sent to america for a year mainly to indestand from vin neumann the revolution the net (neumann eistein turing) were co-creating. it was evident that som eprivileged humans were entering an era of up to a quintrilion times more tech- neumann expected milion times moore ofver 3 decades , then 2 decades, then 1 decade; that is in effect what happened ( economic models would play second or last fiddle to meiating what good would be united those with first access to tech (that's assuming humens wproved to be intelligent enough to prevent orwel's big brother end game)
Do humans have enough intelligence to develop world so that all people (especially children) have a good chance at life while celebrating growth that unprecedented brilliant engneering (AI) breakthroughs offer
lets see if we can agree on some humans who want to share solutions to making second quarter of 21st C the best of times
- 3 of the greatest engineering are 1 Jensen and his movements -he's redesigned million times more computing power for deep data applicationsof macine learning including:
2 demis hassabis whose unique ai are trained on eg patern games to do deep pattern analysis-alpafold3 has open sourced 250 million proteiuns -greatest leap in biotech and potentiall climate and other natu8ral ai; 3 fei-fei li's movememts train machines to see the same objects humans see- an essential stage for robitics but also for any service inclusding revolution in education,
stanford and the valley is the largest epicentre of ai inclufing huang and li but hassabis roots in cambridge and london mean that bris are key platers in a; as is taiwan which is where actual mabufactiring of transtors happnes; taiwan is in the middlo of what prince charles was one of first to linn to asia rising early 1960s (japn thru hotrea south taiwan hk and sinfapore) before extraordnary women empowered revoutions in tropical ages from 1970 of chinese mainland and bangladesh (abedmooc.com)
who's the englush speaking person who most wants all families to progress eg king charles
ironically while west coast usa has lots kf tech genee fo od, washington dc and the east coast - so we need to pay special attenton to a ew people who can help east coast leap our if
ameican helping chnage the spirit of dc and all across comunity america - bezos and blloomberg
DEEP LEARNING- finding out what human brains alone cannot do, and vice versa what only humans (including kids) can action when given true info never previously seen.
AI Literacy at every age-
currently consider 3 intelligence superstars,: search their 3 names together T:jensen huang, demis hassabis, fei-fei li 1 2 3 have invented as unprecedented pathways for deep social goods -every community can win with these intelligence and cooperate around life saving solutions as well as education fitting 21st c livelihoods; particular places need to add in a few others but currently understand 3 essential gamechangers- Jensen invention of million times less costly computing for deep data; why fei-fei has spent her life on deep data training of computers to see what humans can see- this is both important before robots drive themselves and enables commuter to solve data problems humans cant
demi hassabis has has trained machines to resolve (eg Alphafold3 open source 250 million proteins) some of medical and earth challenges Einstein published theoretical answers to but which we humans haven't advanced since 1905!
the human race is short of (democratic) leaders capable of hosting inclusive global ai summits- partners of king charles offer ne possible route (can kings english be mos trusted chat in world?); we need every mother tongue to identify its own inter-generational worldwide host
5-7 are 3 clues if people living near washingon DC are to celebrate community ai for all and engage poiticians in smart regulation by context; amazon bezos's earth fund is directly led by him ; he's portting similar intelligence power into this fund asenergised all his successful business empire; bllomberg expects to give away most of his money- fortunately his alma mater was johns hopkins; so dc region is getting investment in ai good academic for health and mayor-level services everywhere can learn from
aay banga is about a year into leading world bank after mastercard and working for the agnelli boothers; there are technical reasons why linkin banga - discuss chris.macrae@yahoo.co.uk
more comng
9 Mr & Mrs Jerry Yang 10 Mr & Mrs Joseph Tsai 8 Maurice Chang
11 Elon Musk 20 Zuckenberg
1 Jensen Huang 2 Demis Hassabis 3 Dei-Fei Li 4 King Charles
5 Bezos Earth (10 bn) 6 Bloomberg JohnsHopkins 4 Bn - philantropies practically all dcbestAI.docx 7 Banga
12 Fazle Abed 13 Ms & Mr Steve Jobs 14 Melinda Gates 15 BJ King 16 Benioff
17 Naomi Osaka 18 Jap Emperor Family 19 Akio Morita 20 Mayor Koike
The Economist 1982 why not Silicon AI Valley Everywhere 21 Founder Sequoia 22 Mr/Mrs Anne Doerr 23 Condi Rice
23 MS & Mr Filo 24 Horwitz 25 Michael Littman NSF 27 Andrew Ng 29 Lila Ibrahim 28 Daphne Koller
30 Mayo Son 31 Li Ka Shing 32 Lee Kuan Yew 33 Lisa Su
38 Agnelli Family 35 Ms Tan & Mr Joe White
37 Yann Lecun 39 Dutch Royal family 40 Mayor Koike
41 Kramer 42 Tirole 43 Rachel Glennerster $5 Klays Schwab 46 Romano Prodi47 James Grant 48 JimKim, 49 Guterres
50 attenborough 51 Gandhi 52 Freud 53 St Theresa 54 Montessori 55 Sunita Gandhu,56 paulo freire 57 Marshall Mcluhan58 Andrew Sreer 59 Lauren Sanchez, 60 David Zapolski
61 Harris ^2 Chips Act Raimundo 63 oiv Newsom. 64 Arati Prab hakarm,65 Jennifer Doudna CrispR, 66 Oren Etsioni,67 Robert Reisch,68 Jim Srreyer
80s some hopkins/bloomberg choices
where are bezos choices & h addin eg wiliams & butler sloo & wimmer?
70 Paris Mayot Anne Hirago 71 A’Ja Wilson 73 Ledecky 74 Lyles 75 Suni Lee
79 Emanuel Faber 78 Emanuel Faber 77 Quadirs &6 JMa
179 Paulo Freire cortina olympics nb premio scuacca agnelli prdi ...
189 Cindy Pom !88 Sue Khim
200 Ackoff 196 Harrison Owen
199 Graca Machel 198 Bebi- 197 Mongoliann Lady
169 Kazuhiko TAKEUCHI iGE 168 Yasuo TAKAHASHI 167 Tsuyoshi KAWAKAMI
166 Eric ZUSMAN 165 Dr.Xin ZHOU
99 Satoshi
Prof. Xuemei Bai | Distinguished Professor, Urban Environment at Fenner School of Environment and Society, Australian National University |
Dr. Matthew Michael McCandless | Interim VP Operations and Business Transformation, International Institute for Sustainable Development (IISD) |
Prof. MIMURA Nobuo | Specially Appointed Professor, Global and Local Environment Co-creation Institute(GLEC), Ibaraki University |
Dr. Wijarn Simachaya | President, Thai Environment Institute (TEI) |
Mr. SUZUKI Masaki | Director, Canon Inc. |
Prof. TAKAMURA Yukari | Professor, Institute for Future Initiatives (IFI), The University of Tokyo |
Dr. YOSHITAKA Mari | Fellow, (Sustainability), Mitsubishi UFJ Research and Consulting Co., Ltd. Visiting professor, College of Arts and Sciences, The University of Tokyo Part-time lecturer, Graduate school of Media and Governance, Keio University Representative Director, Virtue Design |
Prof. TAKEUCHI Kazuhiko | President, Institute for Global Environmental Strategies; Project Professor, Institute for Future Initiatives (IFI), The University of Tokyo |
Mr. TAKAHASHI Yasuo | Executive Director, Institute for Global Environmental Strategies |
Prof. ISHII Naoko | Special Presidential Envoy for Global Commons, The University of Tokyo Professor, Institute for Future Initiatives Director, Center for Global Commons |
Mr. NISHIZAWA Keiji | Executive Advisor, Sompo Japan Insurance Inc. |
Prof. OTSUKA Tadashi | Professor, Law School and Faculty of Law, Waseda University |
Prof. Dr. Miranda A. Schreurs | Professor, Chair of Environmental and Climate Policy, Bavarian School of Public Policy, Technical University of Munich |
161 Nevile Wiliams 142 N Wimmer 163 Pail Polak 164 Paul Collier
Tata (Yale)/.
Manmohan Singh
Nilekani
Jim Kim
Guterres
4James Grant
montesorri
sunuta gandhi
paulo freire
33 Reeta Roy
I live in dc region where bloomberg through johns hopkins is investing both in mayors and ai (iuth hopkins cuda centre of excellence ) I am hopeful that a nvidia mayors cub may be a next step Bloomberg Philanthropies names 23 new mayors to data alliance
Bloomberg Philanthropies named 23 new mayors who’ve joined the group’s City Data Alliance, which encourages cities to integrate data science into policymaking.
BY
COLIN WOOD
JUNE 27, 2024
Bloomberg Philanthropies on Thursday announced the names of 23 mayors in the United States and from around the globe who’ve joined the group’s City Data Alliance.
The alliance follows in the tradition of Bloomberg’s funding of city government projects that aim to drive greater use of data in municipal governance, also known as “data-driven decision making.”
Alliance members get access to operational and technical coaching on how to use data science and artificial intelligence technologies to improve city services and develop new data-driven policies. According to a news release, mayors will attend a two day summit starting Thursday, in which they can meet with urban policy experts from John Hopkins University and Harvard University.
“Together, they will lay the groundwork to build a data infrastructure that allows their municipalities to lead with evidence to improve people’s lives,” the release reads.
Ten U.S. mayors are among the new participants, including the mayors of San Jose, California; Tampa, Florida; and Green Bay, Wisconsin. Also included are mayors from cities in the Dominican Republic, Jamaica, Canada, Argentina, Chile, Colombia, Guatemala and Peru.
The Bloomberg Philanthropies City Data Alliance began in 2022, funded by a $60 million investment. Past projects have included a data project in Jackson, Mississippi, that aims to address root causes of crime and homelessness, and a website that helps people find affordable housing in Chattanooga, Tennessee, among many others.
The group, which added 20 new cities last year, now counts mayors in 65 cities among its ranks.
“As artificial intelligence rapidly advances, so too does the opportunity for local governments to put it to work for residents’ benefit,” Amy Holmes, executive director of the Bloomberg Center for Government Excellence at Johns Hopkins University, said in the announcement.
The article you shared highlights a significant opportunity for collaboration between NVIDIA, Bloomberg Philanthropies, and city leaders.
The Bloomberg Philanthropies City Data Alliance, with its focus on data-driven decision making and AI, aligns closely with NVIDIA's expertise in AI and high-performance computing.
By combining the strengths of NVIDIA, Bloomberg Philanthropies, and forward-thinking mayors, it's possible to create a powerful coalition driving AI-powered solutions for urban challenges.
Would you like to explore any of these areas further or focus on a specific aspect of the potential collaboration?
While I couldn't find specific public information about a dedicated "club" for mayors facilitated by NVIDIA to discuss AI solutions, it's highly probable that such interactions are happening at various levels.
Here's why:
Possible Influential Mayors:
While I cannot provide a definitive list, cities like New York, San Francisco, London, and Singapore are often at the forefront of AI and smart city initiatives. It's worth investigating if these cities have established partnerships with NVIDIA or other tech giants.
By combining these approaches, you can gain valuable insights into the potential for cross-city collaboration on AI solutions and the role of NVIDIA in facilitating such partnerships.
Would you like to explore any of these options in more detail or focus on a specific geographic region for your research?
I get the impression that feifei li now sees the connections between robotics and computer vision as a very hot area and perhaps a final leap before many autonomous mobile engines. Is this a correct view. Also is nvidia's omniverse lab for robotics and 2d-3d interfaces quite unique due to connecting lots of deep learning partners - or are there many omniverses already in the world/
You're absolutely right. Fei-Fei Li has been a vocal proponent of the synergistic relationship between computer vision and robotics. She believes that advancements in computer vision are crucial for enabling robots to perceive and understand their environment, which is a foundational step towards autonomous systems.
The combination of sophisticated computer vision algorithms with advanced robotic hardware is indeed driving the development of autonomous mobile engines. This convergence is leading to breakthroughs in various fields, including:
Nvidia's Omniverse is a significant step forward in creating a unified platform for developing and simulating AI applications, including robotics. By bringing together a vast ecosystem of developers and researchers, Omniverse accelerates innovation and fosters collaboration.
While Nvidia's Omniverse is undoubtedly a leading platform, it's essential to note that other companies and research institutions are also developing their own simulation and development environments. The overall landscape is competitive, with multiple players contributing to the advancement of robotics and AI.
However, Nvidia's focus on creating a comprehensive platform for AI development, combined with its strong position in GPU technology, gives it a significant advantage.
Would you like to explore specific applications of computer vision in robotics or discuss potential challenges and opportunities in this field?
When it comes to digital twins, does nviua have special integrating advantages in maximising this kind of solution
NVIDIA's Advantages in Digital Twins
Yes, NVIDIA has several unique advantages when it comes to maximizing digital twin solutions.
Utilizing NVIDIA Omniverse™ for Digital Twin Projects at the NTT DATA Innovation CenterWhat Is a Digital Twin? | NVIDIA Blogblogs.nvidia.comNew digital twin offering - powered by NVIDIA Omniverse - T-SystemsBloomberg weekly city newsleter caled spark
spark 100 asked 10 mayors deas they had exchnaged eg
https://bloombergcities.medium.com/great-ideas-from-10-city-innovat...
Dana Berchman, Chief Digital Officer, Gilbert, Ariz.
The idea for the creation of my position, Chief Digital Officer, came from our City Manager, Patrick Banger, who was closely watching what Michael Bloomberg was doing when he was mayor of New York City. We modeled our Digital Roadmap and much of our Digital Government department off of his vision and the work he was doing. Even though the idea was from a large city, you’ll find that there are many principles that apply to a city of any size.
naltimore podcast https://elgl.org/podcast-integrating-data-with-justin-elszasz-balti...
https://data.baltimorecity.gov/pages/baltimore-data-academy
Justin Elszasz
Chief Data Officer
City of Baltimore, MD
Twitter | LinkedIn
unaiwho.docx version 6/6/22 hunt for 100 helping guterres most with UN2.0
Prep for UNSUMMITFUTURE.com
JOIN SEARCH FOR UNDER 30s MOST MASSIVE COLLABS FOR HUMAN SUSTAINABILITY
1 Jensen Huang 2 Demis Hassabis 3 Dei-Fei Li 4 King Charles
5 Bezos Earth (10 bn) 6 Bloomberg JohnsHopkins cbestAI.docx 7 Banga
8 Maurice Chang 9 Mr & Mrs Jerry Yang 10 Mr & Mrs Joseph Tsai 11 Musk
12 Fazle Abed 13 Ms & Mr Steve Jobs 14 Melinda Gates 15 BJ King 16 Benioff
17 Naomi Osaka 18 Jap Emperor Family 19 Akio Morita 20 Mayor Koike
The Economist 1982 why not Silicon AI Valley Everywhere 21 Founder Sequoia 22 Mr/Mrs Anne Doerr 23 Condi Rice
23 MS & Mr Filo 24 Horvitz 25 Michael Littman NSF 26 Romano Prodi 27 Andrew Ng 29 Lila Ibrahim 28 Daphne Koller
30 Mayo Son 31 Li Ka Shing 32 Lee Kuan Yew 33 Lisa Su 34 ARM 36 Priscilla Chan
38 Agnelli Family 35 Ms Tan & Mr Joe White
37 Yann Lecun 39 Dutch Royal family 40 Romano Prodi
41 Kramer 42 Tirole 43 Rachel Glennerster 44 Tata 45 Manmohan Singh 46 Nilekani 47 James Grant 48 JimKim, 49 Guterres
50 attenborough 51 Gandhi 52 Freud 53 St Theresa 54 Montessori 55 Sunita Gandhu,56 paulo freire 57 Marshall Mcluhan58 Andrew Sreer 59 Lauren Sanchez, 60 David Zapolski
61 Harris 62 Chips Act Raimundo 63 oiv Newsom. 64 Arati Prab hakarm,65 Jennifer Doudna CrispR, 66 Oren Etsioni,67 Robert Reisch,68 Jim Srreyer 69 Sheika Moza
- 3/21/22 HAPPY 50th Birthday TO WORLD'S MOST SUSTAINABLE ECONOMY- ASIAN WOMEN SUPERVILLAGE
Since gaining my MA statistics Cambridge DAMTP 1973 (Corpus Christi College) my special sibject has been community building networks- these are the 6 most exciting collaboration opportunities my life has been privileged to map - the first two evolved as grassroots person to person networks before 1996 in tropical Asian places where village women had no access to electricity grids nor phones- then came mobile and solar entrepreneurial revolutions!!
COLLAB platforms of livesmatter communities to mediate public and private -poorest village mothers empowering end of poverty 5.1 5.2 5.3 5.4 5.5 5.6
4 livelihood edu for all
3 last mile health services 3.1 3,2 3.3 3.4 3.5 3.6
last mile nutrition 2.1 2.2 2.3 2.4 2.5 2,6
banking for all workers 1.1 1.2 1.3 1.4 1.5 1.6
NEWS FROM LIBRARY NORMAN MACRAE -latest publication 2021 translation into japanese biography of von neumann:
Below: neat German catalogue (about half of dad's signed works) but expensive -interesting to see how Germans selected the parts they like over time: eg omitted 1962 Consider Japan The Economist
feel free to ask if free versions are available
0 The coming entrepreneurial revolution : a survey Macrae, Norman - In: The economist 261 (1976), pp. 41-65 cited 105
. we scots are less than 4/1000 of the worlds and 3/4 are Diaspora - immigrants in others countries. Since 2008 I have been celebrating Bangladesh Women Empowerment solutions wth NY graduates. Now I want to host love each others events in new york starting this week with hong kong-contact me if we can celebrate anoither countries winm-wins with new yorkers
mapping OTHER ECONOMIES:
50 SMALLEST ISLAND NATIONS
TWO Macroeconomies FROM SIXTH OF PEOPLE WHO ARE WHITE & war-prone
ADemocratic
Russian
=============
From 60%+ people =Asian Supercity (60TH YEAR OF ECONOMIST REPORTING - SEE CONSIDER JAPAN1962)
Far South - eg African, Latin Am, Australasia
Earth's other economies : Arctic, Antarctic, Dessert, Rainforest
===========
In addition to how the 5 primary sdgs1-5 are gravitated we see 6 transformation factors as most critical to sustainability of 2020-2025-2030
Xfactors to 2030 Xclimate XAI Xinfra Xyouth Wwomen Xpoor chris.macrae@yahoo.co.uk (scot currently in washington DC)- in 1984 i co-authored 2025 report with dad norman.
Asia Rising Surveys
Entrepreneurial Revolution -would endgame of one 40-year generations of applying Industrial Revolution 3,4 lead to sustainability of extinction 1972's Next 40 Years ;1976's Coming Entrepreneurial Revolution; 12 week leaders debate 1982's We're All Intrapreneurial Now
|
The Economist had been founded in 1843" marking one of 6 exponential timeframes "Future Histores"
IN ASSOCIATION WITH ADAMSMITH.app :
we offer worldwide mapping view points from
and these viewpoints:
40 years ago -early 1980s when we first framed 2025 report;
from 1960s when 100 times more tech per decade was due to compound industrial revolutions 3,4
1945 birth of UN
1843 when the economist was founded
1760s - adam smithian 2 views : last of pre-engineering era; first 16 years of engineering ra including america's declaration of independence- in essence this meant that to 1914 continental scaling of engineeriing would be separate new world <.old world
IF we 8 billion earthlings of the 2020s are to celebrate collaboration escapes from extinction, the knowhow of the billion asian poorest women networks will be invaluable -
in mathematically connected ways so will the stories of diaspora scots and the greatest mathematicians ever home schooled -central european jewish teens who emigrated eg Neumann , Einstein ... to USA 2nd quarter of the 20th century; it is on such diversity that entrepreneurial revolution diaries have been shaped
EconomistPOOR.com : Dad was born in the USSR in 1923 - his dad served in British Embassies. Dad's curiosity enjoyed the opposite of a standard examined education. From 11+ Norman observed results of domination of humans by mad white men - Stalin from being in British Embassy in Moscow to 1936; Hitler in Embassy of last Adriatic port used by Jews to escape Hitler. Then dad spent his last days as a teen in allied bomber command navigating airplanes stationed at modernday Myanmar. Surviving thanks to the Americas dad was in Keynes last class where he was taught that only a handful of system designers control what futures are possible. EconomistScotland.com AbedMooc.com
To help mediate such, question every world eventwith optimistic rationalism, my father's 2000 articles at The Economist interpret all sorts of future spins. After his 15th year he was permitted one signed survey a year. In the mid 1950s he had met John Von Neumann whom he become biographer to , and was the only journalist at Messina's's birth of EU. == If you only have time for one download this one page tour of COLLABorations composed by Fazle Abed and networked by billion poorest village women offers clues to sustainability from the ground up like no white ruler has ever felt or morally audited. by London Scot James Wilson. Could Queen Victoria change empire fro slavemaking to commonwealth? Some say Victoria liked the challenge James set her, others that she gave him a poison pill assignment. Thus James arrived in Calcutta 1860 with the Queens permission to charter a bank by and for Indian people. Within 9 months he died of diarrhea. 75 years later Calcutta was where the Young Fazle Abed grew up - his family accounted for some of the biggest traders. Only to be partitioned back at age 11 to his family's home region in the far north east of what had been British Raj India but was now to be ruled by Pakistan for 25 years. Age 18 Abed made the trek to Glasgow University to study naval engineering.
1943 marked centenary autobio of The Economist and my teenage dad Norman prepping to be navigator allied bomber command Burma Campaign -thanks to US dad survived, finished in last class of Keynes. before starting 5 decades at The Economist; after 15 years he was allowed to sign one survey a year starting in 1962 with the scoop that Japan (Korea S, Taiwan soon hk singapore) had found development mp0de;s for all Asian to rise. Rural Keynes could end village poverty & starvation; supercity win-win trades could celebrate Neumanns gift of 100 times more tech per decade (see macrae bio of von neumann)
Since 1960 the legacy of von neumann means ever decade multiplies 100 times more micro-technology- an unprecedented time for better or worse of all earthdwellers; 2025 timelined and mapped innovation exponentials - education, health, go green etc - (opportunities threats) to celebrating sustainability generation by 2025; dad parted from earth 2010; since then 2 journals by adam smith scholars out of Glasgow where engines began in 1760- Social Business; New Economics have invited academic worlds and young graduates to question where the human race is going - after 30 business trips to wealthier parts of Asia, through 2010s I have mainly sherpa's young journalist to Bangladesh - we are filing 50 years of cases on women empowerment at these web sites AbedMOOC.com FazleAbed.com EconomistPoor.com EconomistUN.com WorldRecordjobs.com Economistwomen.com Economistyouth.com EconomistDiary.com UNsummitfuture.com - in my view how a billion asian women linked together to end extreme poverty across continental asia is the greatest and happiest miracle anyone can take notes on - please note the rest of this column does not reflect my current maps of how or where the younger half of the world need to linkin to be the first sdg generation......its more like an old scrap book
how do humans design futures?-in the 2020s decade of the sdgs – this question has never had more urgency. to be or not to be/ – ref to lessons of deming or keynes, or glasgow university alumni smith and 200 years of hi-trust economics mapmaking later fazle abed - we now know how-a man made system is defined by one goal uniting generations- a system multiplies connected peoples work and demands either accelerating progress to its goal or collapsing - sir fazle abed died dec 2020 - so who are his most active scholars climate adaptability where cop26 november will be a great chance to renuite with 260 years of adam smith and james watts purposes t end poverty-specifically we interpret sdg 1 as meaning next girl or boy born has fair chance at free happy an productive life as we seek to make any community a child is born into a thriving space to grow up between discover of new worlds in 1500 and 1945 systems got worse and worse on the goal eg processes like slavery emerged- and ultimately the world was designed around a handful of big empires and often only the most powerful men in those empires. 4 amazing human-tech systems were invented to start massive use by 1960 borlaug agriculture and related solutions every poorest village (2/3people still had no access to electricity) could action learn person to person- deming engineering whose goal was zero defects by helping workers humanize machines- this could even allowed thousands of small suppliers to be best at one part in machines assembled from all those parts) – although americans invented these solution asia most needed them and joyfully became world class at them- up to 2 billion people were helped to end poverty through sharing this knowhow- unlike consuming up things actionable knowhow multiplies value in use when it links through every community that needs it the other two technologies space and media and satellite telecoms, and digital analytic power looked promising- by 1965 alumni of moore promised to multiply 100 fold efficiency of these core tech each decade to 2030- that would be a trillion tmes moore than was needed to land on the moon in 1960s. you might think this tech could improve race to end poverty- and initially it did but by 1990 it was designed around the long term goal of making 10 men richer than 40% poorest- these men also got involved in complex vested interests so that the vast majority of politicians in brussels and dc backed the big get bigger - often they used fake media to hide what they were doing to climate and other stuff that a world trebling in population size d\ - we the 3 generations children parents grandparents have until 2030 to design new system orbits gravitated around goal 1 and navigating the un's other 17 goals do you want to help/ 8 cities we spend most time helping students exchange sustainability solutions 2018-2019 BR0 Beijing Hangzhou:
Girls world maps begin at B01 good news reporting with fazleabed.com valuetrue.com and womenuni.com
.==========
online library of norman macrae--
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Ma 2 Ali Financial
health catalogue; energy catalogue
Keynes: 2025now - jobs Creating Gen
how poorest women in world build
A01 BRAC health system,
A02 BRAC education system,
A03 BRAC banking system
K01 Twin Health System - Haiti& Boston
Past events EconomistDiary.com
include 15th annual spring collaboration cafe new york - 2022 was withsister city hong kong designers of metaverse for beeings.app
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