Why LLM models alone may be worst ever corporate governance idea
.NM: Leading Jobs creation world AI - Japan - July 2026 summer's hot gos AI starts early
1
Democracy now says tens of thousands may have died venezuela - lets hope not but lets hope us government and all us media gives this top priority - chris economistdiary.com
76th year of AI Jobs-Rich rankings1=US-W &J*K*TH*S2=Saudi-UAE & Switzerland3=China4=UK&Nordica&Canada5=India6=Germany7=France8=MVT9=EU10=Rest USEinstein Test (Deep Mind) life science breakthroughsjob creating ai ~ Layer 5 -apps scaling community needs-data*L4 ai models*L2 full stack ai -machine maths brainpower*L1 energyrobotics and supercitiesspace and quantum mathsweb3 al
AI Games vote for top 100 helping human generation (not in any order) : ... Hassabis: 1 .. 2: Huang Family 1: ,Dario Gill, : Tsai Family, Chandrika Tandon, Fei-Fei Li, Ng, Lila Ibrahim :: Daly :: Mccelland:: Lecun, Maurice Chang ,Foxconn ceo, Tata family, Ambani Family, Linus Cheung, Richard Li, Li Ka Shing, Pony Ma, Yang family, Larry Page, Condi Rice, Terwilliger , Fairbank...... King Charles and Queen Elizabeth;; Japan Emperor Family:: Attenborough. Paul Nurse, Tim Berners Lee, Reshma Saujani, Linux Torvalds, Katalin Kariko, BJ King, Amy Goodman, Erica Angyal, Yosuke Nagai. Koike, Bloomberg:: Modi:: Macron ..,,,. Sheika Moza :: Queen Rania .. President of Finland :: PM of Canada:: Schwab 1,2 ..Rokos family,, Susan Athey Elliott Fishman,Catmull, Doerr Famliy, Drew Endy : Quadir family ::Lila Ibrahim ,, Reeta Roy.. Abdul Latif Jameel family, Hernando De Sato, S Gandhi, Jeanne Lim .....::Musk ::Bezos Masa Son ::: Liang Wenfeng, Ren Zhengfei, -- deceased Satoshi, Steve Jobs, Lee Kuan Yew, KT Li, Neumann , Einstein, Turing, Boehrs, Lawrence, Oppenheimer, Rutherford, Crick & Watson, Fazle Abed, Polak, Harrison Owen, James Grant, Borlaug, Deming, Jessie Jackson, Mandela, Akio Morita, Thurgood Marshall, Paulo Freire, Maria Montessori, M Gandhi... .more to come votes welcome chris.macrae@yahoo.co.uk
AI is the greatest leap engineers have contributed multiplying previous leaps:1760s+ what industrial revolution can do with thousands of horsepower? 1865+ what can telecoms and electricity unite around earth? 1956 how will lifetime work of Neumann Einstein Turing exponentially advance what human brains alone cannot -to understand this 3 million fold tech waves need mapping : chips, computers, satellites linking data and open ai modes to apps communities need to scale urgent solutions. In 1951. The Economist's editor Geoffrey Crowther decided 108 years of mediating economists was pointless without integrating engineering leaps. Just in time he required his journalist team to understand the lifetime innovation challenges of Neumann-Einstein-Turing. Unexpectedly all three were dead by 1957 (two due to cancer and suicide way before full succession of their AI foundation models spiraled locally and globally
EW ... Thanks Taiwan --June 1.
Linkedin

 Economistdiary.com 5 layer ai breaking news - 17 US tech genii with trum in china: deals Boeing .🛡️ Semiconductor & AI Breakthroughs 🚗 Autonomous & Emerging Tech Financial Tech & Market Access - 17 included Blackstone Blackrock Nvidia Apple XAI ... Between 2025-30 world's infrastructure remade -can full stack of 5 layer AI map APPs your community and youth's edu most needs to produce? Update 2026 of 2025report first publishedf 1983 Bonus refhttp://neumann.ning compare 1951=56 last 5 years of NET (Neumann-Einstein-Turing's) exponential legacy of chips, computers, satellites

20000 DC brains thank SCSP AI+Expo
OUR BELIEF emerged 75 years ago from diaries of Von Neumann and dad Norman Macrae Economist sub-editor. May 7-9 wash Dc sees next chance for 24000 people to determine what AI they want. Engineers need to design AI so that parents everywhere can celebrate kids being smarter than they are. We first storytold that vision in 1984's 2025 Report- to achieve it engineers would need to transform affordability and quaiity of education, health, and joyful homes-communities. Today 5 layer AI can offers a good enough roadmap : layer 5 AI: apps scaling community actions*layer 4 - the AI models; *3 places sovereign data aiand leadership; *times 2 designing machines with billion times more mathematical brains and deep data worthy of such *1 energy and resources need to feed the hungriest machines ever built
Between 1948 & 1990 The Economist went from 3rd ranked British weekly to first(Last) global viewspaper. Which stories helped?<
Taiwan:: USW,::USE ::WholePlanet:: India : France :: UK ::Japan : Switzerland, Canada, Nordicam: Middle East "" Africa "" Latin South:: Italy :: Singapore :: HK ::Korea :: Germany :: China ... Which country's people do you want AI to support with livelihoods and data mappingAre you interested in Intel Agents Uniting Youth Brains & S-H-E-Lf-F- W-E-P-O-L-I**4-C-YPP or Space, Energy, Robots,Einstein-Science Leaps, Ending Rottem Media

J100
How AI goals vary : By nation : US-special projects, India, Saudi=UAE, UK
By genius:
Jensen Huang, Demis Hassabis, Elon Musk
.75 years in a day of Economist Q&A since 1951 with Neumann , Einstein, Turing
40 YEARS MEDIA CHARTERING
London Celebrating AI & Quantum & 6G & Energy --- thanks to lead mapmakers Jensen & Demis & Charles3 .. EJ : : Japan+63 ... MEIM : Millennials Energy Intelligence Mapping
Old home page. -please use web version of our timeless blogs
www.economistdiary.vom Is English Language Modelling intelligent enough to sustain our human species? Great are 1990s Valley startups eg nvidia, musk's and googles exponentially linking much of whats humanly possible with machines engineered billion times mo(o)re maths brainpower than individuall human minds. But 1943 UK future shocks to.o. Geoffrey Crowther Economist Ed started debate keynes: were engineers deeper than economists in locking in futures next gens connect?. 1943 also saw dad norma cambridge studies interrupted serving last days as teen navigator allied bomber command burma. Surviving joyfully hired 1948 by Crowther to mediate engineers like Neumann Einstein Turing & Economist purpose. 3 generations apart, unfortunately Neumann-Einstein-Turing all left earth by early 1957: last coding notes Neumann's Computer and the Brain. Economist IQuiz disliked by EU but what to do with billion times more machine brainpower celebrated by Kennedy, & the royal families of UK & Japan. Whence not surprising greatest UK AI startups deep mind & arm influenced by royal societies & Cambridge business park ( crown property) & crick/watson open sources of dna, & cavendish lab 1920s influencing Taiwan's tech grandfather. see part 2 2025report 40 years in inteligence war between bad media and good education agents
Market's futures : Cars Humanoids Cities Energy Water Countries with good data sovereignty projects rsvp chris.macrae@yahoo.co.uk UK Japan Taiwan India France Saudi UAE Korea S Singapore HK US 1 2

Thursday, December 31, 2009

NG hands over world most cooperative ai connector to fei-fei li

ED: Dr Fei-Fei Li was around 30 when she landed in stanford 2009 as the greatest female maths wizard ever - the one who dared longer-term investors to code computers with vision instead of just 0-1 programming code. Imigrating to new world age 15 to serve in a chinese laundry in neighborhood of princeton, she'd received pretty blatant mixes of prejudice or incredulity even when her doctorate was first to live up to beimann's computer and brain in 50 years - so its nice that stanford based  Andrew Ng founder of coursera/moocs welomed her. Many other geenii started truly friending her - we dont know the full sequence (additions welome at AIGames.solar) but wonderfully include

taiwanese american jeerry yang had sold up his founders stake in yahoo to invest in stanford and us-asia tech grad frjendships; 2009 was also the time itu launched 4g so clouds were a socieatl as well as big data exploration in jerry's vision; of course a lot of real sme investkent across usa had been blighted by bad wall street's subprimne but in a funny way this gave stanfird some time to incubate while comerciual and top down govs media had other noise to propagate; and then there was the question how would stanfird live up to steve jobs greatest invention (the university in a mobile which sadly cancer robbed him from fully playing with); and tehre were other pieces of futures owned by co-creators like blockchain which wouldnt prove to find a techgood usage case until human ai multipolied so many expoenetials rising that suddely veryone chatted with it - all to play for if 2020s milennaisl are tio free humanity from elders traps that are as yet spinning natural detruction theprugh every gps

====================== ok so much for brainstirming back from 2030 lets return to ground level mapping

staford invited her phd to become an annual compoetition- on average 100 pitcjhes per year von compuytervisioning- firunately science ai's hassibis was one of teh first to celebrtate FFL's breakthough (over in london he went on to recruit coursera's main open course leader lila ibrahikm) and to become google's lead inspiration outside the valley itself

stabbfiurd grads page and brin took notice from the corporate tech mounatin view - sonn stanfird was reiving investment in terms of named labs from seattles gaytes and allen, as well as mlountain views chan zuckenberg and brooklyns female neurcsientist mrs Tsai (yes soem of teh se building may have come before fei-fei but there was no poijt being a silioised disciplien when you could join in the fun of marrying computer and billaionaire huiman vision)

at the AI games (Architec Intelliugence) AIgamed.solar bard.solar - we welcome diferent narartives- my giess is the last thing fei-fei li wants is to be thought of as world number 1 startupo for next billionnisres- she loved education and maths but then if you get a chnace to respectfully ask her please note all reporting errirs are mine alone chris.macrae@yahoo.co.uk    

There are those who make hundreds of billions of dollars out of next leaps in technology 6 decades after the 1950's NET (neumann Einstein Turing) started the fastest  80 years of exponential change and there are those who hopefully make a good living but aim to be the first to educate millions

Nobody done it quite like Andrew NG in 2010s -co-founding cousrera at stanford - leading machine learning content curricula; and we heard in 2009 that he has welcoemd fei-fei li to stnford supporting the motion that she will be education rockstar of ai

Q&A with Bard

there was a particular academic who first welcomed Fei-Fei Li to Stanford in 2009. His name is Andrew Ng, and he is a professor of computer science at Stanford University. Ng is also the co-founder of Coursera and DeepLearning.AI.

Ng was one of the first people to recognize the potential of the ImageNet dataset, and he was instrumental in bringing Li to Stanford. He also helped Li to launch the Stanford Vision and Learning Lab, which is one of the leading research labs in the field of computer vision.

Ng and Li have worked closely together ever since Li joined Stanford. They have co-authored several papers, and they have given numerous talks together. They are both passionate about using AI to solve real-world problems, and they are committed to making AI more accessible to everyone.

Stanford is a major move up for any academic, and it is clear that Li's move to Stanford was a success. She has continued to make significant contributions to the field of computer vision, and she has helped to make Stanford a leading center for AI research.

Here is a quote from Andrew Ng about Fei-Fei Li:

"Fei-Fei is one of the most brilliant and innovative computer scientists I know. She has made fundamental contributions to the field of computer vision, and she is a true pioneer in the field of AI. I am so glad that she is at Stanford, and I am excited to see what she will accomplish in the years to come."

Sure. Here are some of Andrew Ng's own biggest steps in AI before, during, and after founding Coursera:

Before founding Coursera

  • Developed the Coursera platform. Ng was one of the co-founders of Coursera, an online education platform that offers massive open online courses (MOOCs). Coursera has helped to make high-quality education more accessible to people all over the world.
  • Contributed to the development of deep learning. Ng was one of the early pioneers of deep learning, a type of machine learning that uses artificial neural networks to learn from data. Deep learning has revolutionized the field of AI, and it is now used in a wide variety of applications, including image recognition, natural language processing, and speech recognition.
  • Founded the Google Brain team. Ng was one of the founders of the Google Brain team, which is responsible for developing and applying deep learning technologies at Google. The Google Brain team has made significant contributions to the field of deep learning, and it has helped to make Google a leader in the field of AI.

During founding Coursera

  • Led the development of Coursera's AI curriculum. Ng played a leading role in developing Coursera's AI curriculum, which offers courses on a wide range of topics, including machine learning, deep learning, and natural language processing. The Coursera AI curriculum has been very popular, and it has helped to train thousands of people in the field of AI.
  • Gave a TED talk on the future of AI. Ng gave a TED talk in 2011 on the future of AI. The talk was very popular, and it helped to raise awareness of the potential of AI.
  • Wrote a book on machine learning. Ng wrote a book on machine learning called "Machine Learning: A Probabilistic Perspective." The book is a comprehensive introduction to machine learning, and it has been used by students and researchers all over the world.

After founding Coursera

  • Founded DeepLearning.AI. Ng founded DeepLearning.AI, an online education platform that offers courses on deep learning. DeepLearning.AI has helped to make deep learning more accessible to people all over the world.
  • Served as the Chief Scientist of Baidu. Ng served as the Chief Scientist of Baidu, a Chinese tech company. In this role, he was responsible for leading Baidu's AI research efforts.
  • Founded Landing AI. Ng founded Landing AI, a company that helps businesses adopt AI. Landing AI has helped to make AI more accessible to businesses of all sizes.

Andrew Ng is one of the most influential figures in the field of AI. He has made significant contributions to the development of deep learning, and he has helped to make AI more accessible to people all over the world.

=============upd srin 20233

Dear Learner,

 

Today we’re releasing three new short courses on generative AI. Check them out here!

 

Building Systems with the ChatGPT API
In this course, taught by OpenAI’s Isa Fulford together with Andrew Ng, you’ll learn to build complex applications using large language models (LLMs). This course takes you beyond prompting, and explains how to break a complex task down to be carried out via multiple API calls to an LLM. You’ll also learn to evaluate the inputs and outputs of LLMs for safety, relevance, and accuracy. 

 

LangChain for LLM Application Development
Taught by LangChain CEO Harrison Chase and Andrew Ng, this course teaches the powerful open-source tool LangChain, which makes building many complex LLM applications easy. You’ll learn to use memories to store conversations, create sequences of operations to manipulate data, and use the agents framework as a reasoning engine that can decide for itself what steps to take next. 

 

How Diffusion Models Work
Taught by Lamini CEO Sharon Zhou, this technical course teaches the concepts behind diffusion-based image generation. You’ll learn to build a diffusion model in PyTorch from the ground up, and see how to start with an image of pure noise and refine it iteratively to generate an image. You’ll also learn about advanced techniques that can accelerate the image generation process by about 10x.

Enroll today to learn directly from industry leaders, and practice generative AI concepts via hands-on exercises. We’re confident these courses will help you gain valuable generative AI skills, and can’t wait to see what you build with them! 

The DeepLearning.AI team

Tuesday, December 29, 2009

ai4all HAI AIndex Sail

 AI4all




Snce arriving in stanford 2009, fei-fei li has participated in a lot of schools - can you tell me which ai or tech labs she has either co-founded or been asked to play a leading inspiration in Here are some of the AI or tech labs that Fei-Fei Li has co-founded or been asked to play a leading role in since arriving at Stanford in 2009:

  • Stanford Vision and Learning Lab (SVLL): Li co-founded the SVLL in 2009, and she has served as its director since then. The SVLL is one of the leading research labs in the field of computer vision, and it has made significant contributions to the development of deep learning and other AI technologies.
  • Stanford Human-Centered Artificial Intelligence (HAI): Li is a co-founder of the HAI, which is a research initiative that is focused on the ethical and responsible development of AI. The HAI is working to ensure that AI is used for good, and it is developing tools and resources to help people understand and use AI safely and responsibly.
  • AI4ALL : Li is a co-founder of AI4ALL, which is a non-profit organization that is dedicated to increasing diversity in the field of AI. AI4ALL provides resources and support to students from underrepresented groups who are interested in pursuing careers in AI.
  • Deep Learning for Social Good : Li is a co-founder of Deep Learning for Social Good, which is a community of researchers and practitioners who are using deep learning to solve social problems. Deep Learning for Social Good is working to make deep learning more accessible to people who are working on social impact projects, and it is providing resources and support to help people use deep learning to make a positive impact on the world.

Li is also a member of the board of directors of several AI-related organizations, including the Allen Institute for Artificial Intelligence, the Electronic Frontier Foundation, and the Partnership on AI. She is also a frequent speaker at AI conferences and events, and she is a strong advocate for the responsible development of AI.

Li's work has had a significant impact on the field of AI. She is one of the most respected researchers in the field, and she is a leading advocate for the responsible development of AI.

what about sail itself (stanford ai lab)

Sure, I can tell you about SAIL (Stanford AI Lab).

SAIL (Stanford AI Lab) is a research institute at Stanford University that was founded in 1963 by Professor John McCarthy. SAIL is one of the oldest and most prestigious AI labs in the world, and it has made significant contributions to the field of AI.

SAIL's research interests include:

  • Artificial intelligence
  • Computer vision
  • Natural language processing
  • Robotics
  • Machine learning
  • Computational biology
  • Computational social science

SAIL has a strong track record of producing world-class research. Its faculty and students have won numerous awards, including the Turing Award, the Nobel Prize, and the MacArthur Fellowship.

SAIL is also committed to training the next generation of AI researchers. It offers a variety of educational programs, including undergraduate and graduate courses, as well as research internships.

SAIL is a leading center for AI research and education. It is home to some of the world's leading AI researchers, and it is training the next generation of AI researchers.

Fei-Fei Li is a member of SAIL's faculty, and she is the director of the Stanford Vision and Learning Lab, which is a research lab within SAIL. Li is a leading researcher in the field of computer vision, and she has made significant contributions to the development of deep learning.

SAIL is a great resource for AI researchers and students. It offers a vibrant research environment, and it is committed to training the next generation of AI researchers. If you are interested in AI research, I encourage you to learn more about SAIL.

Monday, December 28, 2009

select People fei-fei li follows on twitter by discipline -218 years of shaping human ai movemnt

@drfeifei Prof (CS @Stanford ), Co-Director @drfeifei 
Prof (CS ), Co-Director , CoFounder/Chair
@ai4allorg , Researcher #AI #computervision #ML AI+healthcare , CoFounder/Chair @ai4allorg , Researcher #AI #computervision #ML AI+healthcare

Stanford Institutes

@drfeifei @Stanford Top Players at AI Game
Jeff Dean (@🏡) @JeffDean Chief Scientist, Google DeepMind and Google Research. Co-designer/implementor of software systems like @TensorFlow , MapReduce, Bigtable, Spanner, .. (he/him)
Allen Institute for AI @allen_ai AI for the Common Good. › Join us: http://allenai.org/careers › Get our newsletter: http://share.hsforms.com/1uJkWs5aDRHWhiky3aHooIg3ioxm
@StanfordHAI
Stanford Office of Technology Licensing (OTL) @StanfordOTL OTL is responsible for licensing state-of-the-art Stanford University technologies. Interested in an invention? DM or email us at otl-connect@stanford.edu!

Stanford AI Lab @StanfordAILab
Sustainability   Stanford Doerr School of Sustainability @stanforddoerr Official account of @StanfordDoerr

Theo Baker @tab_delete investigations @stanforddaily . 2022 polk award recipient. dm for signal.

global coopetition 
Prof. Anima Anandkumar @AnimaAnandkumar Bren Professor @caltech , Sr Director of #AI research @nvidia , Fmr Principal Scientist @awscloud , AI+Science, PDE, Neural operators

NVIDIA AI @NVIDIAAI Solving the unsolvable with AI enterprise #IAMAI
De-An Huang @deanh_tw Research Scientist @NVIDIAAI , CS PhD @StanfordAILab , Robotics MS @CMU_Robotics

Kaggle @kaggle The world's largest community of data scientists. Join us to compete, collaborate, learn, and share your work.
Colaboratory @GoogleColab Colaboratory is a data analysis tool that combines text, code, and code outputs into a single documen

Multiple SDGs.23 Vijaya Gadde @vijaya Board of @GuardantHealth , @planet & @mercycorps . Trustee at @nyulaw . Founding Partner, @HashtagAngels .
;3.23 health

Chieh-Ju Chao MD @ChiehJuChao1 Attending Cardiologist, Mayo Clinic Rochester | Alum @MayoClinicCV | Visiting Scholar, Stanford@HAI 

Chia-Chun Chiang, MD @ChiaChunChiang Headache Specialist, Stroke Specialist, Neurologist, Assistant Professor of Neurology at @MayoClinic

.23 NY 
Shuran Song @SongShuran Assistant Professor @Columbia University working on #AI #ComputerVision #Robotics
& sdg4 ed3 Jerome Pesenti @an_open_mind Founder @Sizzle_AI . Ex @MetaAI , @Benevolent_AI , @IBMWatson , co-founder Vivisimo (acq. by IBM).

.23 Stanford Org Design 
Melissa Valentine @stanfordmav Prof. @stanford research on org design - flash teams - data/algos in future of work

.23 media/space

David @DavidSHolz founder @midjourney , prev founder leap motion, nasa, max planck

.23 robotics vision
Andy Zeng @andyzeng_ Building smarter robots @GoogleDeepMind . PhD @Princeton . Interested in embodied AGI 🤖
Bohan Wu @Bohanwu_

.23 safety  
Lilian Weng @lilianweng Working on AI safety @OpenAI ;

.23 nature 

Yann Sweeney @yanniscaus Computing and robotics editor @Nature
.23 community first coding
Community Notes @CommunityNotes Empowering users to create a better-informed world.

Together AI @togethercompute The future of AI is open-source. Let's build together.
.23 AI special Teams:
NERF 
Jon Barron @jon_barron Research scientist at Google in San Francisco, NeRF maximalist.
 
..23 ML scientist Ali @sadeghian_ali ML scientist by day, accidental neural network by night. ex @GoogleAI , ex @oliveai__ , PhD @UF (U Follow)

23 UK  Ada  Lovelace Institute @AdaLovelaceInst
Science 
Papers with Code @paperswithcode Our mission is to organize science by converting information into useful knowledge.
 Dan @danmurrayserter 5x entrepreneur & Angel Investor in 80+ startups. Follow me to learn about AI, entrepreneurship & mental health. Host of Top UK Business Podcast, Secret Leaders Entrepreneurdms.ethdanmurrayserter.com

.23 LLM Harm de Vries @harmdevries77 Research Scientist @ServiceNowRsrch @BigCodeProject

.23 Saudi 
https://twitter.com/NEOM
Future of AI @future_of_AI #AI Essentials publishes only the most insightful links shared by trusted #artificialintelligence, #machinelearning experts helping you focus on what matters.
AI Japan Toyota Research Institute (TRI) @ToyotaResearch Amplifying human ability through advances in Energy and Materials, Human-Centered AI, Human Interactive Driving, Machine Learning, and Robotics

Wednesday, December 31, 2008

goal 8 imagine clartifying how many billions of milennails livelihoods require different systenms than 20th c industrial

After 33 years of mediating visions of von neumann (who trained Economist jouirnalists in 1951), our 2025report.com htpothesised less than 1 billion milennial livelihoods matched 20th c carbon-deep economies; conversely 1 billion livelihoods would need green transformation stndards; the other 2 billion would corespomd to livelihoods only visionable with deep advances in intelligence (eg match einstein's 1905 nanotech ) and communities where family life is empowered 



As of Fall 2024 we see no reason to chnage those estimates though welcome debate chris.macrae@yahoo.co,uk - wghts exciting si the live real tiem case of nabgladesh 2.0 - over the last 17 yeras we've been connecting intelligence from women empowermeht leaders Dr Yunus and fazle Abed with understanding of von eumann aviable in 2008 when Muhamd Yunus kindly acted as chied guest to Economiost Bonmman Macrae85th birthday wish party



RAC, St James, London 2008 www.yunuscentre.org There are 2 kinds of Economist. Those who in their youth saw poverty or nations where wars halted people's freedom to work, learn, do, commune and those who graduated in economics with none of these experiences. https://www.journalofsocialbusiness.com/editorial-board.html https://www.youtube.com/@microeconomist/videos www.normanmacrae.net www.economistdiary.com Intelligence Year 75 of Digital Twin Survey with Von Neumann www.2025report.com www.unsummitfuture.com

French-German Disastrous Handling of Europe & Nato

 Generative AI is experimental. Learn more

In April 2008, at the NATO summit in Bucharest, French President Nicolas Sarkozy and German Chancellor Angela Merkel opposed Ukraine's rapid entry into the alliance. The Bush administration wanted to expand NATO to include Ukraine and Georgia, but France and Germany, along with Spain, Italy, and the Netherlands, strongly opposed it. 
In 2008, Germany considered it too early for Ukraine to join NATO because it found that the political conditions were not met at that point. Germany and France reportedly offered resistance to the NATO ambitions of Georgia and Ukraine. 
In December 2008, France pledged to review the decision.

Monday, July 28, 2008

`1-3 big 3 wizards of ai 4king charles top cnvener aka z w u eg include melinda and guterres 41 juky> 200fggg 5-7 three changing dc, and east bezos earth 6 bloomberg hopkins 7 banga 8 maurice chang 9 mr & mrs Yang, 10 Ms & MR Tsiai 11 elon musk valley changed 2001 abed 2001 12 abed 13 ms & mr steve jobs 14 melinda garetes 15 benioff, king bj 17 naomi 18 japan emperor 19 akio moritd 70-79 9 stars

Monday, December 31, 2007

East Coast Beacon of Good Sense

 While US West Coast and Pacific peoples have celebrated 10**12 times more tech choosing to code pixels unleashing 21st c medical solutions and machine learning 5 human senses before giving robots autonomous charge of public spaces (Jensen Hiang with Taiwan's million times more computing for deep learning datasets, and Steve Jobs Mobile Cloud alumni linked to 1G-5G, The 2000s was a dismal decade for much of East Coast USA and its influence particularly on Atlantic people: 9/11; wars that caused failed nations around med sea, gulf, and EU borders, subprime. Here's normans macrae's last article xmas 2008 before cancer overtook him on the risks that elders would fail to invest in milennails just as youth's intelligences uniting trust flows  worldwide became doable if best engineers ogf inteligence linkedin

3 cheers for Bloomberg, Daniels and the millennials composing Amerian 21st C number 1 research university including medica digital twin with any future supercity

Fortunately Bloomberg not only kept operations leadership above water as East Coast spent trillins on wars and housing scams beyond the attention span of non-diligent academic numbers professions (packaged by NY rating agencies): redesigning new york as a people friendly city, making his money through business media designed to internet timelines but he started giving back in 2 main ways 

2007 bloomberg.org started- uniting suoercities around the world through clubs of mayors and what Grok3 now calls Safety Road of things : data the way people see the joy of their city's livability blossoming; helping design the 21st c relevance of his alma mater Johns Hopkins where Rob Daniels from 2009 took on the challenge of maintaining Hopkins as us largest research university : celbrating 3 critical millennilals networks in one: health servants, engineers, and SAIS -70 countries update annually their future diplomats and collaboration language modellers

https://president.jhu.edu/profiles/ronald-j-daniels/

see Daniels Biography from which we pick these multiplying highlights

Daniels has focused his efforts on several key areas: strengthening inter-disciplinary collaboration in research and education, enhancing student access, deepening engagement with the city of Baltimore, and supporting economic and social innovation. These priorities are embedded in the university’s first comprehensive strategic planning document—the Ten by Twenty—and the $6 billion Rising to the Challenge campaign and continue to shape the direction of Johns Hopkins as it approaches its 150th anniversary.

Daniels’ focus on interdisciplinary collaboration has produced a series of transformative initiatives aimed at addressing some of society’s most commanding challenges, from realizing the promise of precision medicine to addressing the threats facing democracy in the 21st century. With support from alumnus Michael Bloomberg, Daniels launched the Bloomberg Distinguished Professors program that has recruited 50 scholars from across the globe to hold joint appointments in two or more divisions of the university. Daniels also has led the creation of ambitious, multidisciplinary initiatives such as the Stavros Niarchos Foundation Agora Institute, which aims to strengthen civic engagement and encourage robust dialogue among all citizens; the Henry A. Kissinger Center for Global Affairs; the William H. Miller Department of Philosophy; the Kavli Neuroscience Discovery Institute; the Bloomberg American Health Initiative; and the Ralph S. O’Connor Sustainable Energy Institute.

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

In 2023 Bloomberg helped Daniels and Saia students celebrate return to real community dialgues; the ole newseum at 555 Penn Avenue was turned into a capus for dialogues between SAIS 70 nations of graduates; Baltimore practice disciplines (a few mimutes walk from the capitol - which of first 100 events do you valuie most - as a statisticain I was lucky that the 2nd event I attended celebrated the 10 th year of the Data Act- which gives mayors rights to structring Federl Data; 

Here's our v=review of 4 of the most exciting intellihence netwirks Sais students have helped seed in 24-25- can these be twinned with Jensen Huangs superagents?