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
we are witnessing one of the greatest technological leaps in the history of human endeavor the rapid rise of powerful artificial intelligence is considered by many of the greatest thinkers of our age to be no less significant no less important than the discovery of electricity, the splitting of the atom, the creation of the worldwide web or even the harnessing of fire
AI holds the potential to completely transform Life as we know it; to help us better treat and perhaps even cure conditions like cancer heart disease and Alzheimer's to hasten our journey towards net zero and realize a new era of potentially Limitless clean green energy even just to help us make our everyday lives a bit easier
however if we are to realize the untold benefits of AI then we must work together on combating its significant risks; too AI continues to advance with ever greater speed towards models that some predict could surpass human abilities , even human
understanding; there is a clear imperative to to ensure that this rapidly evolving technology remains safe and secure and because AI does not respect International boundaries this Mission demands International coordination and collaboration.
To support this Global effort the United Kingdom is proud to host this Summit in Bletchley Park the birthplace of modern Computing where Alan Turing famously cracked  the Enigma code and laid the foundations for a new digital age. Transitions like the one AI is heralding always presents profound challenges especially in preparing for unintended consequences; it is incumbent on those with responsibility to meet these challenges to protect people's privacy and livelihoods which are essential to both our economic and psychological well-being to secure our democracies from harm and to ensure the benefits of new technology are shared by all. I've always believed in the importance of holding a conversation both within and across societies to address such great challenges of bringing governments in the public sector together with civil society and the private sector in that conversation adhering to the values tenants of faith and laws that we all held so dear. That is how the International Community has sought to tackle climate change to light a path to Net Zero and Safeguard the future of our planet we must similarly address the risks presented by AI with a sense of urgency unity and Collective Strength so on behalf of the United Kingdom I want to thank you all for the vital role you are playing in this shared Endeavor for laying the foundations of a lasting consensus on AI safety and for ensuring that this immensely powerful technology is indeed a Force for good in this world

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400 Jensen Huang - some copilot flights in health with 402,403 Priscilla Chan & Mona Flores, Global Head of Medical AI, NVIDIA, 404   Renee Yao lifesciences ecosystem Business Development Healthcare and Life , NVIDIA

Renee leads ecosystem business development in healthcare life sciences, focusing on scaling partners (global system integrator, solution delivery partners, independent system integrators, cloud service providers, and startups) critical for expediting ecosystem go-to-market strategies and enhancing NVIDIA platform adoption. Managing a diverse portfolio, she also oversees more than 2,000 healthcare startups as independent software vendors in segments like digital health, medical instruments, medical imaging, genomics, and drug discovery. In prior roles as a senior product manager and product marketing manager for AI systems, Renee shaped bundle solutions and reference architectures for sectors spanning self-driving cars, telecom, and big data analytics. Beyond her corporate journey, she's founded six startups in domains including health insurance, fashion, AI toys, and more. A University of California, Berkeley Haas School of Business graduate with an economics and IT focus, Renee enjoys ballroom dancing, reading, and exploration during her leisure.

AI Sovereignty- Peoples Language (LLM), Data Herstory: Climate, Agri, Health, Ed-agency, Geonomics

People to check in with

Brynjohnnson ex Mit; Rob Johnson ex soros/friend brynjohnson; Cambridge in amerca east coat John Kase – official Uk west coast envoys tan white mbe; john white mbe – links hassabis london/cambridge king charles AI world serues Turing and Kings English LLM

Backed by both King Charles AI Coomonwealth World Series & Huang. UK Tech envoysin Valley Ms Tan White MBE & John White MBE – connect Hassabis London-Cambridge: Stanford, any twin aigood city.
stanford with Li & Rice Ai futute of every discipline

Case Barbados (extension cases – carribean, kenya)

Case partners of commonwealth AI

Nvidia Huang AI Sovereignty Don’t get drownede in AI Safety; Positive reasoning for NAIRRS , and why LLM is not the core focus without 2012 AI breakthroughs: Perception, Natures AI, Million times lowe cost for deep data generative computing.  Huang shared his views that every country should have its own AI system. This will empower nation-states to serve their specific cultural and language needs and leverage their particular business strengths in the age of AI. Huang believes companies should own the AI intelligence and data they produce.

“It codifies your culture, your society’s intelligence, your common sense, your history – you own your own data,” AI sovereignty refers to the strategic development and deployment of AI technology to protect national security, economic competitiveness, and societal well-being. This is in contrast to corporate-controlled AI

 

Huang additional Specials

Co-pilot Digital Twins Taiwan, Weather Company www alert model

UAE – world gov keynote- why eg falcon as completely open LLM is genius

Piloting Trillion Doolar AIGood+Sectors -see 100 partners GTC2024

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Boston Foci

Russ

Fady Saad MassRobotics – Robotics Climate AI

 

At the recent World Governments Summit in Dubai, Huang shared his views that every country should have its own AI system. This will empower nation-states to serve their specific cultural and language needs and leverage their particular business strengths in the age of AI. Huang believes companies should own the AI intelligence and data they produce.

“It codifies your culture, your society’s intelligence, your common sense, your history – you own your own data,” Huang said at the event attended by more than 4,000 delegates from 150 countries.

AI sovereignty refers to the strategic development and deployment of AI technology to protect national security, economic competitiveness, and societal well-being. This is in contrast to corporate-controlled AI, which is developed primarily for the best interests of a company, rather than the state.

The concept of a sovereign AI is not new, but now that this suggestion has come from Huang and other influential business leaders, the idea has gained significant attention in the industry. Earlier, IBM CEO Arvind Krishna also made a similar call to action by urging countries to have “some sovereign capability on artificial intelligence, including large language models for AI.” Krishan suggested that countries should set up national AI computing centers and common data sets for specific use cases.

Several countries have already started establishing a sovereign AI infrastructure, including the Netherlands. The Dutch government revealed its vision for GenAI, which includes further investment in the nation’s open large language model, GPT-NL. The European Union is also pursuing sovereign AI by investing in supercomputers to support AI startups in the region.

Taiwan is also investing in sovereign AI. It is building a government-funded LLM named Taide with a primary objective to counter the influence of AI tools from China such as Baidu’s Ernie bot. The Taiwanese government wants to restrict the use of Chinese AI tools as they often provide politically biased information.

While sovereign AI infrastructure has to be led by governments, the private sector plays a vital role in achieving this vision. The private tech industry must cooperate with governments to build a robust API infrastructure. This is where the support of major tech players, such as Nvidia and IBM, is critical to the successful development of sovereign AI.

The Dutch government suggests an “open strategic autonomy” structure where local companies have the freedom to work with foreign governments but have the ability to work independently as needed.

Speaking at the summit in UAE, Huang urged business leaders not to be “mystified” by AI as the capabilities offered by the technology offer great potential. An increasing number of AI events are happening in the UAE, which has become a center for AI innovation in the Middle East. PwC projects the AI market in the region to reach $320 billion by 2030.

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

COULD COMPUTING MACHINES BETTER SERVE HUMANS IF THEY UNDERSTOOOD 19999 ENTITIES HUMANS MOST WORK & PLAY WITH

At the start of the 21st C there may only have ever been 4 people who had dared asked this question. Three had left us in 1950s. This left one 25 year old female graduate to ask this question. For the next 11 years almost every American academic (except a few at Stanfird from 2009) gave her the thumbs down.Then at the 3rd annual summit she had arranged to give computers 20 million image databank of 19999 entities (plus humans) a maths algorithm confirmed this was the most valable question computing had ever been applied to. Or more accurately this summit prompted the biggest transformation in tech investment - by 2019 every tech investir was saying that coding computer vision was obvious. 

Actually there are at least 3 investment races going on:

continuing to maximise what computers can do now they can be asked to sort out problems(eg deep data) around the 19999 entities humans develop life on earth with - yes i get that

playing with nature's 25 million proteins - yes this second neuroscience computation breakthrough certainly is the way to go if you do biotech or anything that innovates with matures nano-science

but the leap to asking computers to woirk with anything humans hsve ever written (the large language models) i personally wonder about that- if computers are training up on educational materials that I understand but if they are training up on anything ever written, I just hope we are not going to again get lost in the woods from the trees as we have so often since neumann-einsiein-turing parted. 

#!$ Compare the brainstrust linking in Sandbox QA and UK's leading female tech envoy in Valley, Burmese-Brit Ms Tan White MBE

The SandboxAQ Braintrust

  • Jim Breyer - Founder & CEO, Breyer Capital
  • Dr. John Seely Brown - Former Independent Co-Chair of Deloitte's Center for the Edge, former Amazon board member and Chief Scientist, Xerox PARC
  • Dr. Andrew Conrad - CEO, Verily and Co-founder of the National Genetics Institute
  • Dr. Taher Elgamal - CTO, Security at Salesforce.com, Co-founder of Nok Nok Labs and InfoSec Global, renowned cryptographer hailed as the "father of SSL"
  • Susan M. Gordon - Former Principal Deputy Director of National Intelligence
  • Andrew Harrison - Managing Partner, Section 32, formerly at X, the moonshot factory and Verily executive
  • Dr. Fei-Fei Li - Sequoia Professor of Computer Science at Stanford University, former VP/Chief Scientist of AI/ML at Google Cloud
  • Blythe Masters - Founding Partner at Motive Partners
  • Dr. Yossi Matias - Vice President, Engineering & Research at Google
  • Marc Porat - Visionary serial entrepreneur of six ventures including General Magic and PlanetX
  • Admiral John Richardson - Retired Admiral and former Chief of Naval Operations, U.S. Navy
  • Admiral Mike Rogers - Retired Admiral, former Commander of U.S. Cyber Command, and Director, National Security Agency
  • Eric Schmidt - Co-founder, Schmidt Futures and former Chairman and CEO of Alphabet
  • Teresa Shea - Former EVP of Technology at In-Q-Tel, and Director of Signals Intelligence, NSA
  • David Siegel - Co-founder and co-CEO, Two Sigma, board member, MIT
  • Thomas Tull - Founder & CEO of Tulco, LLC, former Founder & CEO of Legendary Entertainment
  • Frank Vettese - Co-founder, Summit North capital and advisory firm, former CEO of Deloitte
  • Wendy Tan White - CEO, Intrinsic, former VP at X, the moonshot factory

with final examining pilot UK AI panel

Panel members

Country Nomination
Australia Professor Bronwyn Fox, Chief Scientist, The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Brazil André Carlos Ponce de Leon Ferreira de Carvalho, Professor, Institute of Mathematics and Computer Sciences, University of São Paulo
Canada Doctor Mona Nemer, Chief Science Advisor of Canada.
Chile Raquel Pezoa Rivera, Academic, Federico Santa María Technical University
China Doctor Yi Zeng, Professor, Institute of Automation, Chinese Academy of Sciences
EU Juha Heikkilä, Adviser for Artificial Intelligence, DG Connect
France Guillame Avrin, National Coordinator for AI, General Directorate of Enterprises
Germany Professor Antonio Krüger, CEO, German Research Center for Artificial Intelligence.
India Professor Balaraman Ravindran, Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Madras
Indonesia Professor Hammam Riza, President, KORIKA
Ireland Doctor. Ciarán Seoighe, Deputy Director General, Science Foundation Ireland
Israel Doctor Ziv Katzir, Head of the National Plan for Artificial Intelligence Infrastructure, Israel Innovation Authority
Italy Doctor Andrea Monti,Professor of  Digital Law, University of Chieti-Pescara.
Japan Doctor Hiroaki Kitano, CTO, Sony Group Corporation
Kenya Awaiting nomination
Mexico Doctor José Ramón López Portillo, Chairman and Co-founder, Q Element
Netherlands Professor Haroon Sheikh, Senior Research Fellow, Netherlands’ Scientific Council for Government Policy
New Zealand Doctor Gill Jolly, Chief Science Advisor, Ministry of Business, Innovation and Employment
Nigeria Doctor Olubunmi Ajala, Technical Adviser to the Honourable Minister of Communications, Innovation and Digital Economy,
Philippines Awaiting nomination
Republic of Korea Professor Lee Kyoung Mu, Professor, Department of Electrical and Computer Engineering, Seoul National University
Rwanda Crystal Rugege, Managing Director, National Center for AI and Innovation Policy
Kingdom of Saudi Arabia Doctor Fahad Albalawi, Senior AI Advisor, Saudi Authority for Data and Artificial Intelligence
Singapore Denise Wong, Assistant Chief Executive, Data Innovation and Protection Group, Infocomm Media Development Authority (IMDA)
Spain Doctor Nuria Oliver, Director of ELLIS Alicante
Switzerland Doctor. Christian Busch, Deputy Head, Innovation, Federal Department of Economic Affairs, Education and Research
Turkey Ahmet Halit Hatip, Director General of European Union and Foreign Relations, Turkish Ministry of Industry and Technology
UAE Marwan Alserkal, Senior Research Analyst, Ministry of Cabinet Affairs, Prime Minister’s Office
Ukraine Oleksii Molchanovskyi, Chair, Expert Committee on the Development of Artificial intelligence in Ukraine
USA Saif M. Khan, Senior Advisor to the Secretary for Critical and Emerging Technologies, U.S. Department of Commerce
United Kingdom Dame Angela McLean, Government Chief Scientific Adviser
United Nations Amandeep Gill, UN Tech Envoy

428 

Powering the Future of AI: A Look at One Company’s Approach to Climate-Aligned Digital Infrastructure (Presented by Crusoe) [S63106]

, Co-Founder and Chief Executive Officer, Crusoe Energy

AI will change the world as we know it. It will be the single greatest leap in innovation in modern history, but we are not prepared. As the demand for machine learning and climate tech solutions skyrockets, so does the demand for energy to power this global innovation. Marc Ganzi, CEO of DigitalBridge, recently stated that global data center capacity will need to grow by 38 gigawatts to power the surge in demand triggered by the growth of AI. One gigawatt is 333 utility-scale wind turbines. 38 gigawatts is the equivalent of powering 28.5 million homes. We need to reinvent and re-imagine the strategy and the infrastructure to support this massive digital renaissance, and do it sustainably and responsibly. In a virtual fireside chat, the co-founder of Crusoe will talk about the intersection of the energy industry, the future of AI, and the sustainable infrastructure needed to bring it all together, as well as Crusoe’s mission-based strategy to develop climate-aligned digital infrastructure.

=====expecting for example many fortune 500 companies to have larger ai budgets by 2027 than most nations - which is one reason why we primarily catalogue persons and their alumni who are innovation ai good- we welcome discussion if you think we are missing way to see whose intelligence worlds partnerships are designing ai to get back to the goals all 193 nations of UN promised to unite humans round in 2015 - as yet we see far more risk that nations are not going tp invest in in enough good ai than that too much ai will take over from humanity- we also remind non native english speakers - articificial applied to engines = man-made

  • Adept
  • Aleph Alpha
  • Alibaba
  • Amazon Web Services
  • Anthropic
  • Apollo Research
  • ARM
  • Cohere
  • Conjecture
  • Darktrace
  • Databricks
  • Eleuther AI
  • Faculty AI
  • Frontier Model Forum
  • Google DeepMind
  • Google
  • Graphcore
  • Helsing
  • Hugging Face
  • IBM
  • Imbue
  • Inflection AI
  • Meta
  • Microsoft
  • Mistral
  • Naver
  • Nvidia
  • Omidyar Group
  • OpenAI
  • Palantir
  • Rise Networks
  • Salesforce
  • Samsung Electronics
  • Scale AI
  • Sony
  • Stability AI
  • techUK
  • Tencent
  • Trail of Bits
  • XAI

MILLENNIALS CODE GUIDE WHO’s AI IS IT ANYWAY

N Neumann exponential expectations engine type 6 for brainwork , 7 for autonomous gov 2.0

E  Einstein exp exp “ “

T Turing exp exp “ “

Wai

Hai H1 ScienceAI eg alphafold2 H2 entity AI eg imagenet H3 every ed skills ai -blend H4 more

Yai

F     Foundation

I       INTER – cooperation way above zero sum

Gov2.0

SDG ER1 3 billion new livelihoods millennials generate ~G8

SDG ER2 G1-G5 community solutions- see women empowerment abedmooc.com

SDG ER3 – Apply G6 water G7 solar to go green and to sanirise

SDG ER4 – G9-12 Infrastructure 2.0 win-win trade www nb vast majority nations no  critical minerals to play Industrial era)

SDG ER5 POLC Goals 16 (peace)*14(Oceanlfe)=15(landlife)-13(Climate)

SDG ER6 replace sdg17 by verygoodai & worldclass llm partnerships

NewS 0-3 CoatalBelts Atlantic west & east, Pacific West & East

NewS 4,5 rwo most conflicted landed NS in Americas

NewS 6,9 four most conflicted land corridirs Eurasa & Below

@ essential to ed3=personal learning agency world  aware of intel trans this persons alumni c

@ Demis Hasabis alumni of Alphafold2 - 250 million protein databank - an be the greatest heroines/heroes world has ever seen- i dont see climate crises or viral diseases being mitigated without them

@ fei-fei li is education intelligences MVP- her 20000 entity databank imagenet provided breakthrough that machines can be trained to learn- this changes coding and if it hasnt yet changed any discipline studied at college, you might want to check in with stanford as vast majority of stanfird subjects are being transformed by HAI

#Fazle Abed: It took 17 years (1984-2021) before either Steve Jobs or Bill Gates understood that personal networking greatest win-win is sharing life saving knowhow. Over a billion Poorest Asian village mothers provide the evidence thanks to Fazle Abed and UNICEF's James Grant from late 1970s.

ER6 examples Jensen Huang suggest every language needs an llm as its sovereign ai; 50 small island nations suggested need to share llm as they never had critical resources of industrial age so doubly need livable planet ai (support from some rich islands eg Singapore & Ireland)

 

MILLENNIALS CODE GUIDE WHO’s AI IS IT ANYWAY

N Neumann exponential expectations engine type 6 for brainwork , 7 for autonomous gov 2.0

E  Einstein exp exp “ “

T Turing exp exp “ “

Wai

Hai H1 ScienceAI eg alphafold2; H2 entity AI eg imagenet; H3  ed ai include no silos ; H4 more

Yai

F     Foundation

I       INTER – cooperation way above zero sum

Gov2.0

SDG ER1 3 billion new livelihoods millennials generate ~G8

SDG ER2 G1-G5 community solutions- see women empowerment abedmooc.com

SDG ER3 – Apply G6 water G7 solar to go green and to sanirise

SDG ER4 – G9-12 Infrastructure 2.0 win-win trade www nb vast majority nations no  critical minerals to play Industrial era)

SDG ER5 POLC Goals 16 (peace)*14(Oceanlfe)=15(landlife)-13(Climate)

SDG ER6 replace sdg17 by verygoodai & worldclass llm partnerships

NewS 0-3 CoatalBelts Atlantic west & east, Pacific West & East

NewS 4,5 rwo most conflicted landed NS in Americas

NewS 6,9 four most conflicted land corridirs Eurasa & Below

@ essential to ed3=personal learning agency world  aware of intel trans this persons alumni

Z scales transformation

Named Place = linkin that place (by stanford we mean whole valley-bay )

C=colored lives matter solutions

ER6 examples Jensen Huang suggest every language needs an llm as its sovereign ai; 50 small island nations suggested need to share llm as they never had critical resources of industrial age so doubly need livable planet ai (support from some rich islands eg Singapore & Ireland)

Examples 

Fei-Feil Li @  notably Stanford HAI W Y POLC ER 2.3 without Li society would not have been valued as integral to AI as early as 2012 - connections HAI2 imagenet multiplied include NET & from 09 Hasabis Koller Ng Doudna Yang Rice Tsai from 2012 Huang Melinda Gates; 3 Alogithm professors; - AI4all; googlecloud UN , National Ai POLC Every discipline AI version

Demis Hasabis @  notably HAI HA1 Science AI may be only way humans have to be in time to prevent extinction given hassabis open sourced 250 million ptotein codes of nature- he leads Game logic designs  way beyond others -out of London & Cambridge Unites Kings Charles AI & Turing

 Jensen Huang  -@  Stanford, Taiwan Oregon State multiplied Fei-Fei's vision breakthrough by designing million times more computational GPU; many orders of magnitude beyond typical moores law decades ; is leader of every locality needs its own LLM now to own sovereignty of its peoples data, culture and geo-diversity

Jerry Yang @ without Taiwanese American Jerry Yang and his Japanese American wife - I do not see how stanford 21st C partnership ecosystem would have stayed ahead of every pro-millennial connection grounded on both connections and wealth transferred from Yahoo ecosystem 2004 onwards. Like many Asians the Yang family are relatively humble  but as surviving Diaspora Scot archivist of Economist and NET diaries my assessment criss crosses over 50 countries. See also NY Asia Society Laureates gala 2023 chris.macrae@yahoo.co.uk 

Fireside Chat With Kanjun Qiu and Bryan Catanzaro: Building Practical AI Agents that Reason and Code at Scale [S62577]

, Vice President, Applied Deep Learning Research, NVIDIA

, Chief Executive Officer and Co-Founder, Imbue

Join Imbue CEO Kanjun Qiu and Bryan Catanzaro, vice president of applied deep learning research at NVIDIA, for a discussion on AI agents and the next chapter in AI innovation. Launched in October 2022, imbue recently announced a $210 million-plus Series B fundraiser at $1 billion valuation to create the next wave of AI: agents that can reason and code. Imbue’s research is focused on solving AI’s lack of reasoning abilities. Kanjun and Bryan will discuss the current barriers to building agents, how AI marks a revolution in human-computer interaction, and the future of the personal computer. Kanjun will also speak to Imbue’s recent research — including papers on the training process of large-scale SSL methods; CARBS, a hyperparameter optimizer that automatically reproduces Chinchilla scaling laws; and work analyzing a request for comments on AI policy from the U.S. Department of Commerce.
Industry: Consumer Internet

In Search of General Human Intelligence before AGI

Fazle Abed @ remarkable life uniting 8 billion humans intel www.abedmooc.com in deepest knowhow f 21st c `- like Gandhi he trekked as teen to go learn from Empitre's colleges. But in Abed's case his homeland Bay of Bengal of 1950s had been recolonised by Pakistan so he wanted to learn engineering for shipping trade from glasgow university and chartered accounting. Succeeeding this he had just become regional ceo for Royal Durch Shell when half a million of his compatriots wrere killed by an intense local cyclone- with the shell campus last infrastructure left dozens of medics and others joined abed in recovimmediate recovry work (eg body bagging and preventing colera). After a few months, Shell almost got Abed assinnated. They ordered him to join Pakistan army in nextt phase of recovery. Abed escaped to london; Bangladesh's war of indepence occurred; he sold his flat in putney and returned to build 15000 vilagers homes. Basically one room huts but better than the refugee camp the war had turned his homeland into. Abed soon found he was responsible for 100000 people communities not starving nor dying of basic illnesses. He designed small village franchuses (but with positive cash flow) around rice farming, distributung basic meds etc. The number 1 aim at that stage of village mothers was not raise earnings above a dollar but raise life expectancy from low 40s to 60s. Fortunatlely abed's team invented oral rehydration saving one in infants from death by diarrhea. Abed submitted this to unicef year of child competion 1979 and won. James Grant arranged for the proze to be Bangladesh Rorual Advancement Cooperation training every rural mother in ORD. That took BRAC nationwide. Abed's business designs can be said over 50 years to involve entrepreurial games of 2 hallves with an 5 year transition. For 25 years up to 1996, every word of mouth- rural meant no electricity grids and no phones. Then from 1996 a silicon vallef prner offered abed chance to experiment with mobile and solar. Steve Jobs and Bill Gates who had invented the west's personal computer networking in 1984 admitted they hadnt understood what pooresst rural women needed. So they and silicon valley saged abed's 65th birthday wish party in 2001. Silicon valley started connecting with billion poorest gilrls intelligence needs and stanfird became the pro-millennila university with abed' foiunding poverty's ttwin university in ganglades. That's how between 2001-2012 stanfor linked in Womens Intel, Millennials Youth Intel and from 2009 HAI (with Fei-Fei Li Daphne Koller Demis Hassabis Andrew Ng supported by the Yang family and others who have made staford potentially the leading intelligence si 

G= Aigames verified VeryGood ranking - rsvp chris.macrae@yahoo.co.uk to discuss inclusions/exclusions - our criteria since 1951 aligned to NE- celbrate millennials as first renewable generation

time 100ai list sept

LEADERS

  • Sam Altman
  • Demis Hassabis  VG
  • Robin Li  (VG)
  • Clément Delangue
  • Lila Ibrahim VG
  • Elon Musk (VG)
  • Raquel Urtasun
  • Alex Karp
  • Reid Hoffman
  • Greg Brockman
  • Marc Andreessen (VG)
  • Sandra Rivera
  • Aidan Gomez
  • Daniel Gross
  • Kai-Fu Lee (VG)
  • Jaime Teevan
  • Andrew Ng (VG)
  • Kevin Scott
  • Jensen Huang (VG)
  • Clara Shih  (VG)
  • Alexandr Wang
  • Mustafa Suleyman
  • Marc Raibert

INNOVATORS

  • Charlie Brooker
  • Holly Herndon
  • Pelonomi Moiloa
  • Grimes
  • Neal Khosla
  • Stephanie Dinkins
  • Sougwen Chung
  • Cristóbal Valenzuela
  • Lilly Wachowski
  • Manu Chopra
  • Kate Kallot
  • Ziad Obermeyer
  • Noam Shazeer
  • Alison Darcy
  • Nathaniel Manning
  • Tushita Gupta
  • Andrew Hopkins
  • Linda Dounia Rebeiz
  • Richard Socher
  • Keith Dreyer
  • Nancy Xu
  • Rootport

SHAPERS

  • Ian Hogarth
  • Audrey Tang (VG)
  • Meredith Whittaker
  • James Manyika
  • Jack Clark
  • Anna Makanju
  • Omar Al Olama  (VG)
  • Kelly McKernan
  • Eric Schmidt
  • Margrethe Vestager
  • Anna Eshoo
  • Richard Mathenge
  • Sneha Revanur
  • Tristan Harris
  • Joy Buolamwini
  • Eliezer Yudkowsky
  • Verity Harding
  • Ted Lieu
  • Sarah Chander
  • Nina Jankowicz
  • Romesh and Sunil Wadhwani
  • Elham Tabassi
  • Dan Hendrycks
  • Jess Whittlestone
  • John Honovich

THINKERS

  • Fei-Fei Li (VG - much more than thinker)
  • Abeba Birhane
  • Shane Legg (VG see footnote 1)
  • Rumman Chowdhury
  • Yi Zeng
  • Timnit Gebru
  • Kate Crawford
  • Pushmeet Kohli
  • Ilya Sutskever
  • Yejin Choi
  • Yann LeCun (VG)
  • Inioluwa Deborah Raji
  • Max Tegmark
  • Yoshua Bengio (VG)
  • Emily M. Bender
  • Margaret Mitchell
  • Paul Scharre
  • Jan Leike
  • Paul Christiano
  • Kalika Bali
  • Stuart Russell
  • Arvind Narayanan & Sayash Kapoor
  • Shakir Mohamed
  • =============

Footnote qs to Gemini

i feel that Hassabis and Legg are both concerned with safety - what would be an example of safety in practice that hassabis would probably expect legg to lead? For example are they experts in different types of maths?

Show drafts

You're right, both Hassabis and Legg are concerned with safety in AI, but their approaches might differ. Here's a breakdown of their potential areas of focus and the role of mathematics:

Demis Hassabis and Safety:

  • Focus: Hassabis likely views safety from a more systemic and practical perspective. He might be concerned with:
    • Alignment with Human Values: Ensuring DeepMind's AI systems are designed and used in ways that align with human values and societal goals.
    • Transparency and Explainability: Developing AI systems that are transparent in their decision-making processes, allowing humans to understand how they arrive at conclusions.
    • Mitigating Unforeseen Risks: Identifying and mitigating potential risks that could arise from unforeseen consequences of AI development.

Shane Legg and Safety:

  • Focus: Legg likely approaches safety from a more theoretical and formal logic perspective. He might be concerned with:
    • Formal Verification: Applying mathematical techniques and logic to formally prove the safety and correctness of AI algorithms. This involves ensuring the AI cannot perform unintended actions or cause harm.
    • Control Mechanisms: Designing mechanisms to control and oversee AI systems, preventing them from exceeding their intended purpose or becoming uncontrollable.
    • Long-Term AI Risks: Considering the long-term philosophical and existential risks posed by highly advanced AI and exploring ways to mitigate them.

Mathematics in Safety:

  • Formal Logic: This branch of mathematics is crucial for Legg's work in formal verification. It allows for rigorous reasoning about the behavior of AI systems.
  • Game Theory: Concepts from game theory can be applied to design AI systems that cooperate with humans and achieve mutually beneficial outcomes.
  • Probability and Statistics: These fields are important for Hassabis' focus on risk assessment and identifying potential negative consequences of AI development.

Example of Safety in Practice:

Imagine DeepMind is developing an AI for drug discovery. Here's how safety might play out for Hassabis and Legg:

  • Hassabis: Concerned that the AI prioritizes effective treatments while considering potential side effects and ethical considerations in drug development.
  • Legg: Focuses on formally verifying the AI's decision-making process to ensure it cannot propose harmful or unintended drug combinations.

Overall:

While both Hassabis and Legg share a concern for safety, their expertise and approaches differ. Hassabis takes a more practical, systemic view, while Legg brings a theoretical and formal logic perspective. Mathematics plays a vital role, particularly in Legg's work on formal verification. Their combined efforts help ensure DeepMind's AI advancements are developed and used responsibly

2023  

https://www.regulations.gov/search/docket?filter=%22artificial%20in... lots of gov discussions ai - quite hard to sort out dates etc

latest ntia request info operational march 24 - how weights change foundation models openess and closure https://www.ntia.gov/federal-register-notice/2024/dual-use-foundati...

Stanford foundation models team july 2023 issues key response to ntia request for info https://hai.stanford.edu/sites/default/files/2023-06/Response-to-Re...

Rishi Bommasani
Researcher & Society Lead, Stanford Center for Research on Foundation Models
Ph.D. Candidate, Stanford University
Sayash Kapoor
Researcher, Princeton Center for Information Technology Policy
Ph.D. Candidate, Princeton University
Daniel Zhang
Senior Manager for Policy Initiatives, Stanford Institute for Human-Centered Artificial
Intelligence
Dr. Arvind Narayanan
Incoming Director, Princeton Center for Information Technology Policy
Professor of Computer Science, Princeton University
Dr. Percy Liang
Director, Stanford Center for Research on Foundation Models
Associate Professor of Computer Science and (By Courtesy) of Statistics, Stanford University

Given the significance of foundation models, we argue that pervasive opacity compromises
accountability for foundation models. Foundation models and the surrounding ecosystem are
insufficiently transparent, with recent evidence showing this transparency is deteriorating
further.
3 Without sufficient transparency, the federal government and industry cannot implement
meaningful accountability mechanisms as we cannot govern what we cannot see. The history of
regulating online platforms and social media foretells the story for foundation models: If we fail
to act now to ensure foundation models are sufficiently transparent, we are destined to repeat the
avoidable errors of the past.
Our submission recommends the following in response to questions posed in the RFC:
● Invest in digital supply chain monitoring for foundation models (Section 2; Questions
5, 11, 15, 20).
● Invest in public evaluations of foundation models (Section 3; Questions 3, 21, 23, 29,
30b).
● Incentivize research on guardrails for open-source models (Section 4; Question 7,
32

chris macrae said:

G= Aigames verified VeryGood ranking - rsvp chris.macrae@yahoo.co.uk to discuss inclusions/exclusions - our criteria since 1951 aligned to NE- celbrate millennials as first renewable generation

time 100ai list sept

LEADERS

  • Sam Altman
  • Demis Hassabis  VG
  • Robin Li  (VG)
  • Clément Delangue
  • Lila Ibrahim VG
  • Elon Musk (VG)
  • Raquel Urtasun
  • Alex Karp
  • Reid Hoffman
  • Greg Brockman
  • Marc Andreessen (VG)
  • Sandra Rivera
  • Aidan Gomez
  • Daniel Gross
  • Kai-Fu Lee (VG)
  • Jaime Teevan
  • Andrew Ng (VG)
  • Kevin Scott
  • Jensen Huang (VG)
  • Clara Shih  (VG)
  • Alexandr Wang
  • Mustafa Suleyman
  • Marc Raibert

INNOVATORS

  • Charlie Brooker
  • Holly Herndon
  • Pelonomi Moiloa
  • Grimes
  • Neal Khosla
  • Stephanie Dinkins
  • Sougwen Chung
  • Cristóbal Valenzuela
  • Lilly Wachowski
  • Manu Chopra
  • Kate Kallot
  • Ziad Obermeyer
  • Noam Shazeer
  • Alison Darcy
  • Nathaniel Manning
  • Tushita Gupta
  • Andrew Hopkins
  • Linda Dounia Rebeiz
  • Richard Socher
  • Keith Dreyer
  • Nancy Xu
  • Rootport

SHAPERS

  • Ian Hogarth
  • Audrey Tang (VG)
  • Meredith Whittaker
  • James Manyika
  • Jack Clark
  • Anna Makanju
  • Omar Al Olama  (VG)
  • Kelly McKernan
  • Eric Schmidt
  • Margrethe Vestager
  • Anna Eshoo
  • Richard Mathenge
  • Sneha Revanur
  • Tristan Harris
  • Joy Buolamwini
  • Eliezer Yudkowsky
  • Verity Harding
  • Ted Lieu
  • Sarah Chander
  • Nina Jankowicz
  • Romesh and Sunil Wadhwani
  • Elham Tabassi
  • Dan Hendrycks
  • Jess Whittlestone
  • John Honovich

THINKERS

  • Fei-Fei Li (VG - much more than thinker)
  • Abeba Birhane
  • Shane Legg (VG see footnote 1)
  • Rumman Chowdhury
  • Yi Zeng
  • Timnit Gebru
  • Kate Crawford
  • Pushmeet Kohli
  • Ilya Sutskever
  • Yejin Choi
  • Yann LeCun (VG)
  • Inioluwa Deborah Raji
  • Max Tegmark
  • Yoshua Bengio (VG)
  • Emily M. Bender
  • Margaret Mitchell
  • Paul Scharre
  • Jan Leike
  • Paul Christiano
  • Kalika Bali
  • Stuart Russell
  • Arvind Narayanan & Sayash Kapoor
  • Shakir Mohamed
  • =============

Footnote qs to Gemini

i feel that Hassabis and Legg are both concerned with safety - what would be an example of safety in practice that hassabis would probably expect legg to lead? For example are they experts in different types of maths?

Show drafts

You're right, both Hassabis and Legg are concerned with safety in AI, but their approaches might differ. Here's a breakdown of their potential areas of focus and the role of mathematics:

Demis Hassabis and Safety:

  • Focus: Hassabis likely views safety from a more systemic and practical perspective. He might be concerned with:
    • Alignment with Human Values: Ensuring DeepMind's AI systems are designed and used in ways that align with human values and societal goals.
    • Transparency and Explainability: Developing AI systems that are transparent in their decision-making processes, allowing humans to understand how they arrive at conclusions.
    • Mitigating Unforeseen Risks: Identifying and mitigating potential risks that could arise from unforeseen consequences of AI development.

Shane Legg and Safety:

  • Focus: Legg likely approaches safety from a more theoretical and formal logic perspective. He might be concerned with:
    • Formal Verification: Applying mathematical techniques and logic to formally prove the safety and correctness of AI algorithms. This involves ensuring the AI cannot perform unintended actions or cause harm.
    • Control Mechanisms: Designing mechanisms to control and oversee AI systems, preventing them from exceeding their intended purpose or becoming uncontrollable.
    • Long-Term AI Risks: Considering the long-term philosophical and existential risks posed by highly advanced AI and exploring ways to mitigate them.

Mathematics in Safety:

  • Formal Logic: This branch of mathematics is crucial for Legg's work in formal verification. It allows for rigorous reasoning about the behavior of AI systems.
  • Game Theory: Concepts from game theory can be applied to design AI systems that cooperate with humans and achieve mutually beneficial outcomes.
  • Probability and Statistics: These fields are important for Hassabis' focus on risk assessment and identifying potential negative consequences of AI development.

Example of Safety in Practice:

Imagine DeepMind is developing an AI for drug discovery. Here's how safety might play out for Hassabis and Legg:

  • Hassabis: Concerned that the AI prioritizes effective treatments while considering potential side effects and ethical considerations in drug development.
  • Legg: Focuses on formally verifying the AI's decision-making process to ensure it cannot propose harmful or unintended drug combinations.

Overall:

While both Hassabis and Legg share a concern for safety, their expertise and approaches differ. Hassabis takes a more practical, systemic view, while Legg brings a theoretical and formal logic perspective. Mathematics plays a vital role, particularly in Legg's work on formal verification. Their combined efforts help ensure DeepMind's AI advancements are developed and used responsibly

2023  

  • Fireside Chat With Percy Liang and Jim Fan: The Future of Foundation Models [S62980]

    Jim Fan, Research Scientist, NVIDIA

    Percy Liang, Associate Professor and Director of CRFM, Stanford University, Co-Founder, Together AI

    Percy Liang, a professor from Stanford University, has been at the forefront of large language model (LLM) research. Percy is widely recognized for introducing the term foundation models, to capture the paradigm shift defining the modern AI landscape. In this fireside chat, we'll explore many fundamental questions that will reshape the future of foundation models. What are the key limitations of our most capable foundation models? What are the most promising ideas to improve their reasoning capabilities? How do we build benchmarks that evaluate foundation models systematically and comprehensively? How do we build AI agents that make decisions autonomously? What behaviors emerge when multiple agents interact with each other in a simulation? What are the roles of the open-source community and academia in this new era of foundation models? Please join us for an informative and enlightening conversation!
    Industry: Academia / Education
  • Fireside Chat
    Live (All Audiences Ungated)
    In-Person
    How Artificial Intelligence is Powering the Future of Biomedicine [S62283]

    Priscilla Chan, Co-Founder and Co-CEO, Chan Zuckerberg Initiative

    Mona Flores, Global Head of Medical AI, NVIDIA

    Cells are the smallest unit of life, yet there’s so much we don’t know about them. How do they truly work? What happens within them when they become diseased? What does it take to keep them healthy? To help answer these questions, CZI is working with NVIDIA to build one of the world’s largest nonprofit high-performance computing systems for biology. The system will create predictive models of cells and cell states so scientists can conduct experiments and test hypotheses faster — paving the way for breakthroughs that will bring quicker patient diagnoses and better treatment options. In this fireside chat, CZI co-founder and Co-CEO Priscilla Chan and NVIDIA Global Head of Medical AI Mona Flores will discuss how artificial intelligence is powering the next generation of biomedicine.
    Industry: Healthcare & Life Sciences
  • Fireside Chat
    Live (All Audiences Ungated)
    In-Person
    Modern Telco Blueprint: Using AI to Transform and Reinvent [S62448]

    Chetan Sharma, Chief Executive Officer, Chetan Sharma Consulting

    Chris Penrose, Global Head of Business Development – Telco, NVIDIA

    The $2 trillion telecoms industry is a global economic catalyst on the brink of transformative growth. Fueled by the expansive reach of fiber and 5G networks and the rapid expansion of cloud-based data center infrastructure, telcos have emerged as the linchpin in the AI era's connectivity fabric. Service providers face a pivotal moment, a rare chance to redefine their role in enterprise transformation across industries. Chetan Sharma, drawing from boardroom insights, unveils the symbiotic link between operators' growth and their AI-enabled industrial strategy that will be the new lifeblood of operator growth. We'll unveil a blueprint and roadmap, essential in this era of evolution. Then we'll have a fireside chat with Chris Penrose, exploring AI opportunities within telcos. Dive deep into how modern telcos will leverage generative AI to enhance operational efficiency and drive new revenues through localized AI solutions and infrastructure. Join us on this transformative journey, where telecoms and AI converge, not just as a conversation but as a roadmap to unprecedented growth and innovation. The time is ripe, and the possibilities are boundless.
    Industry: Telecommunications

Advancing the Energy Transition With AI-Powered Innovation [S63419]

  • Nefeli Moridis, Developer Relationship Manager, Subsurface, Global Energy Team, NVIDIA

    Marc Spieler, Senior Managing Director Energy, NVIDIA

    Detief Hohl, Chief Scientist Computation and Data Science, Shell

    Learn how Shell is collaborating with NVIDIA to develop AI-powered scientific applications and solutions that accelerate the energy industry's transition to low-carbon energy. This work expands on previous joint research that brought new capabilities in AI and computational science to Shell across multiple subsurface use cases. Shell and NVIDIA also share the aim of making the data center industry more energy efficient and sustainable by growing low carbon energy use in the industry
    Industry: Energy
  • Revolutionizing Retail With AI: The Journey of Cooler Screens and NVIDIA in Transforming Kroger Stores [S62627]

    Azita Martin, Vice President and General Manager Artificial Intelligence for Retail and CPG, NVIDIA

    ,Arsen Avaklan Chief Executive Officer and Founder, Cooler Screens

    In an era when artificial intelligence is redefining the boundaries of possibility, the retail sector stands at the forefront of this technological revolution. This session will explore how Cooler Screens continues to leverage NVIDIA's cutting-edge Jetpack and Jetson technology to achieve 3-5% same-store sales lifts, create new revenue sources for retailers, and improve the shopper experience. Get an insider’s view of how this innovative technology has been instrumental in developing "smart stores," and learn how this technology is setting new standards in smart retailing.
    Industry: Retail / Consumer Packaged Goods
  • Fireside Chat
    Live (All Audiences Ungated)
    In-Person
    vRAN Next: Driving Innovation in Wireless Towards 6G [S62516]

    Ryuji Akakawa, Vice President, Research Institute of Advanced Technology, Softbank

    Soma Velayutham, General Manager, AI and 5G, NVIDIA

    The telecoms industry is assembling a range of innovative technological solutions to enable 6G wireless network and systems. In particular, the shopping list includes performance boosters that can go beyond the Shannon capacity, softwarized platforms that will minimize hardware upgrades for 6G, full stack acceleration to adequately handle L1 computation and AI RAN to enhance performance and efficiency of the network. In this session, Soma Velayutham and Ryuji Wakikawa will explore how these solutions will transform 6G and showcase how NVIDIA Aerial is evolving to support these developments.
    Industry: TelecommunicationsS62516.pdf
  • Inception Startup
    Fireside Chat
    Live (All Audiences Ungated)
    In-Person
    Emerging Giants: How Gen AI and LLM Startups are Changing Healthcare and Life Sciences [S62982]

    ,Renee Yao Ecosystem Business Development, Healthcare and Life Sciences, NVIDIA

    Eliot Hershberg, Biotech Partner, Not Boring Capital

    Andrew Gostine, Artisight

    Join us for an engaging talk as we delve into the thriving market of generative AI and large language models (LLMs) in healthcare life sciences. This sector has witnessed remarkable growth, with its value soaring from $1.2 billion in 2022 to a projected $24.9 billion by 2032. Our speakers include a seasoned venture capitalist sharing the latest investment trends, an innovative startup founder specializing in LLM solutions with multimodal data, and a patient whose life has been transformed by LLM and AI technologies. Explore the latest developments, sustainable solutions that truly resonate with patients/users, and the profound impact of generative AI and LLMs in healthcare. Don't miss this opportunity to gain comprehensive insights into the evolving landscape of generative AI, where innovation makes a tangible difference.
    Industry: Healthcare & Life Sciences
  • Fireside Chat
    Talks & Panels
    Virtual
    Immersion in Sphere: Redefining Live Entertainment Experiences [S63135a]

    Alex Luthwaite, Senior Vice President, Show Systems Technology, Sphere Entertainment Co.

    Sepi Metamedi, Sr. Product Marketing Manager, Live Media Solutions, NVIDIA

    Paul Breen, Vice President, Playback, Sphere Entertainment Co.

    Joshua Grow, Senior Vice President, Studio Core Technology, Sphere Entertainment Co.

    Andrew Johnson, Principal Systems Engineer, 7thSense

    Sphere is a next-generation entertainment medium that's redefining the future of live entertainment, allowing the foremost artists, creators, and technologists to create extraordinary experiences that take storytelling to a new level, and transport audiences to places both real and imagined. The venue is powered by cutting-edge technologies that ignite the senses and enable audiences to share experiences at a never-before-seen scale. This includes the world’s highest resolution LED display – 16K x 16K – that wraps up, over and around the audience to create a fully immersive visual environment, allowing for unique performances and audience experiences. Join this session to get behind the scenes and learn more about how Sphere Entertainment Co. brought Sphere to life, from concept through to final pixels.
    Industry: Media & Entertainment
  • Talks & Panels
    On-Demand
    Powering the Future of AI: A Look at One Company’s Approach to Climate-Aligned Digital Infrastructure (Presented by Crusoe) [S63106]

    Chase Lochmiller, Co-Founder and Chief Executive Officer, Crusoe Energy

    AI will change the world as we know it. It will be the single greatest leap in innovation in modern history, but we are not prepared. As the demand for machine learning and climate tech solutions skyrockets, so does the demand for energy to power this global innovation. Marc Ganzi, CEO of DigitalBridge, recently stated that global data center capacity will need to grow by 38 gigawatts to power the surge in demand triggered by the growth of AI. One gigawatt is 333 utility-scale wind turbines. 38 gigawatts is the equivalent of powering 28.5 million homes. We need to reinvent and re-imagine the strategy and the infrastructure to support this massive digital renaissance, and do it sustainably and responsibly. In a virtual fireside chat, the co-founder of Crusoe will talk about the intersection of the energy industry, the future of AI, and the sustainable infrastructure needed to bring it all together, as well as Crusoe’s mission-based strategy to develop climate-aligned digital infrastructure.

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ENTREPRENEURIAL REVOLUTION NETWORK BENCHMARKS 2025now : Remembering Norman Macrae

unaiwho.docx version 6/6/22 hunt for 100 helping guterres most with UN2.0

EconomistDiary.com Friends20.com & EntrepreneurialRevolution.city select 2022's greatest moments for citizens/youth of NY & HK & Utellus

Prep for UN Sept 22 summit education no longer fit for human beings/sustainability

JOIN SEARCH FOR UNDER 30s MOST MASSIVE COLLABS FOR HUMAN SUSTAINABILITY - 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 

4.1  4.2  4.3  4.4  4.5 4.6


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 

The coming entrepreneurial revolution : a survey Macrae, Norman - In: The economist 261 (1976), pp. 41-65 cited 105 

Macrae, Norman - In: IPA review / Institute of PublicAffairs 25 (1971) 3, pp. 67-72  
 Macrae, Norman - The Economist 257 (1975), pp. 1-44 
6 The future of international business Macrae, Norman - In: Transnational corporations and world order : readings …, (pp. 373-385). 1979 >
Future U.S. growth and leadership assessed from abroad Macrae, Norman - In: Prospects for growth : changing expectations for the future, (pp. 127-140). 1977 Check Google Scholar | 
9Entrepreneurial Revolution - next capitalism: in hi-tech left=right=center; The Economist 1976
Macrae, Norman -In: European community (1978), pp. 3-6
  Macrae, Norman - In: Kapitalismus heute, (pp. 191-204). 1974
23a 

. 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

1 2 now to 2025-30

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

conomistwomen.com

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.

new york

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--

==========

MA1 AliBaba TaoBao

Ma 2 Ali Financial

Ma10.1 DT and ODPS

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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