1979 & Proyouth GAMES to Linkin from 1951: Ed's & A!20s most curious moments as V. Neumann's & The Economist's diarists include 1982...LLM2022STORY why we co-brand with AIgoodmedia.com.When The Economist sent dad Norman Macrae to pre-train with Von Neumann 1951 Princeton, they agreed The Economist should start up leadership Entrepreneurial Revolution surveys; what goods will humans unite wherever they first linkedin to 100 times more tech per decade? Johnny added a final twist in notes for his biography. "Unfortunately Economics is Not Mathematical. One day only AI maths can save our species

Breaking: help prep AI rehearsal Fringe UNGA Sept 2023 NY- chris.macrae@yahoo.co.uk
July Guterres choosing top20 AIHLAB.. bard says Hassabis will chair this '''''with UN tech envoy ..members include Stanford's Fei-Fei Li , Allen's Etzioni, Sinovation's Kai Fu Lee,... Gemini,,Uni2 :FFL*JOBS*DH more G : 1 2 3 4 5
..worldclassllm & Royal Family's 150 year survey: can weekly newspaper help multiply trust around worldwide human development?
0: Around WorldMaths #1 FFL in 80.. 79

Game AI : Architect Intelligence:: EconomistDiary invites you to co-create this game & apply bard.solar ; personalise your pack of 52 players cards. Whose intelligence over last 75 years most connects human advancement at every gps concerning you and yours on planet?
we offer 3 types of tours sampling rockstars on intelligence for good and welcome guest tours :Alpha Chronological began 1951 through 4 decades at The Economist; Gamma: back from future of 2020s began 1984; Beta intergeneration connectors are more recent quests; try  AI game out; we'd love to hear whose action networks inspires You and who chris.macrae@yahoo.co.uk
Alpha1 JFKennedy Neumann-Einstein-Turing Crowther; Youth visions for 1960s launched by Kennedy as great as any known to us- eg space race; peace corps, Atlantic-Pacific win-win trade; Kennedy had studied quite traditional economic gurus at Harvard (eg ); served in US Navy Pacific theatre word war 2; he discovered The Economist stories of exciting economic possibilities; these had emerged from editor Geoffrey Crowther ; his 20+ years of editing included 1943 centenary autobiography of Economist- had been a mistake to vision a newspaper helping 20 something Queen Victoria in 1843 transform to commonwealth trading from slavemaking empire; Crowther thought good news media was worth another go; he sent a rookie journalised who had survived being teen navigator allied bomber command Burma to pretrain with Neumann at Princeton year of 1951 as well as interview NY-UN year 6; Neumann explained after spending their lives mainly on the science allies needed to beat Hitler: Neumann-Einstein-Turing wanted a good legacy - digitalisation -see eg Neumann's last lecture notes delivered Yale "Computer and the Brain". There were 4 inter-generational crises the NET foresaw; sorting out energy; designing win-win economics; sorting out worldwide cooperations; everything else UN and multilaterals were being asked to resolve. Neumann trained Economist journalist in the leadership survey : "What goods will humans unite wherever they have early access to 100 times more tech per decade?"
(breakingJy10) Gamma1 Hassabis , Fei-Fei Li,, Guterres, Oren Etzioni, JYKim, Ng, Yang, Chang, Chang- There are lots of alternative Gammas but we start with 2 engineers who transformed AI from 2010 when they furst met at Stanford and discussed FFL's NSF funding of imagenet since 2006; 2 public health servants who in 2016 weren't happy with just talking 17 new UN goals and have been asking AI genii to help digital roadmap UN2 since 2016 and a Taiwanese American in Silicon Valley, a Chinese American In Taiwan and Samsung's Korean who partnered Taiwan's chip making genii; these stories have lots of personal courage as well as brilliance; any reporting errors are mine alone chris.macrae@yahoo.co.uk My family has made 100 trips to Asia from the west but still have no fluency in oriental languages so I am biassed : i believe NOW! that LLMs can connect the best cooperation intelligences ever and urgently map life critical knowhow through every global villahge
Beta 1 celebrates massive web and inter-generational  gifts of Steve Jobs Fazle Abed Mr Sudo JYKim and Mr Grant; you will probably know Jobs started 2 digital networking revolutions with 1984s Mackintosh Personal Computer and apple and 2007's iphone; at bottom of pyramid, you may not know Asia-66-percent-of%20Intelligence-for-good-part-1.docx   fazle abed linked up to 1 billion tropical Asian real housewives & entrepreneurs towards  empowering the end of poverty; and Steve hosted silicon valleys 65th birthday party for abed in 2001; they brainstormed transformative education which the pc hadn't delivered ..but could the mobile era be visioned to do so?; Mr Sudo had partnered Abed and Bangladesh villagers in "leapfrog" mobile experiments starting 1995. By 2001, as Jobs was introducing Abed to eg Stanford friends, Kim had discovered Abed's women were networking the most effective solution to rural Tuberculosis; he introduced Gates and Soros to Abed as all 4 wanted 2000s Global Fund to end TB & HIV & Malaria; at the same time Guterres had moved from Portuguese prime minister to red cross and then UN servant leader of refugees; meanwhile back in 1980 it was UNICEF's James Grant who had discovered Fazle Abed women's oral rehydration network which was saving lives of 1 in 3 infants who previously died of diarrhea in the tropics' humid villages ; Grant became worldwide marketer of how parents could mix water sugar and salts as the life saving cure of ORD; naturally James Grant College of Global Public Health has become cornerstone of all the new university cooperations Abed and Jobs started brainstorming in 2001
here we discuss why 73 years as biographers of V Neumann's future visions suggests its critical to map intelligences who got us to 2020s and today's giant co-leapers Gamma-tours; this also opens door to which intelligences at national or other place levels contribute what? - see our 60+ years of intelligences, and eg discussion of why to end extreme poverty we need one open global university of poverty
Beta2 : NB how different scope of 2020s AI is from cross-selection of web2,1 engineers of last quarter century- NB valuetrue purpose of gamifying Architect Intel : borderless engineering can help humans vision 2020's co-creation of web3 and millennials development beyond extinction. Kai Fu Lee, Ng, Melinda Gates, Koike, Lela Ibrahim, Jobs, Satoshi ,Houlin Zhao, Allen, Musk, Brin ,Page , Bezos, Ma, Zhengfei, Torvaulds, Berners Lee, Masa Son, It would be a pity if short-term nationalism stopped us 8 billion humans learning from these tireless innovative beings. Do sub in your regional counterpart. Also note what no conventional strategist saw as Intelligence possible before 2017. To clarify: start with kai fu lee- his best seller on AI in 2017 doesn't explain the ai thats changing every possibiliity of the 2020s but does it good job of AI up to 2017. He also has unique view because he was sent by google to explore china, falling ill at same time as google exiting china, writing up ai that inspired reinventing himself as both venture capitalist in the midst of asia's most extraordinary student suburb (Zhong...) and as curious observer. I see Ng, Ms Gates. Koike, Ibrahim -as civil education heroines/heroes - who are yours ? Satoshi, Zhao, Allen, Musk - gamechangers taking on conflicts that journey us all through tipping points. One day the world may decide it was a blessing that a corporate like google and a revolutionary uni like Stanford co-habited the same 100 square miles- is there any other comparable 100 square miles of brainworkers for humanity. (I love Hong Kong but thats its own story). The other 5 kept digital movements alive -they merit being valued as engineering heroes before you decide how to translate systemic components to your regions' -and mother earth's - urgent needs.

Friday, June 30, 2023

alpha4 last mile health ai paulo freire, abed, chen, grant, paul farmer, jim kim, soros, gates, guterres, lila ibrahim

Intelligence geared to human development in rural areas (without electricity grids and so without telephone grids) was a challenge right up to the 1990s for about half of humans including the majority of the two thirds living in asia, and majority in africa.

Crucial was bringing up life expectancy to the 60s or above instead of the 40s. Families lose a whole generation until that progress is made, and consequentially education is truncated particularly for girls; and cultures in many rural areas have historically expccted village girls lives spent on breeding huge families

Whilst the 1990s start to see villages leapfrog to solar and mobile, before that the greatest leaps in human development of tae poorest came where solutions were found to maximising rural communities health capacities on basics - typically those that dont kill infants or mothers elsewhere but in humid or isolated villages kill these vulnerable populations 

in the late 1960s the chinese barefoot medical system led the way but it was also able to rely on transferring trained people from cities to villages

the most extraordinary solutions came in villages where once illiterate village mothers were trained to provide basic services- as far as our research shows all scaled examples of this type refer to the education practice of paulo freire

certainly the essential beginnings of bangladesh women empowerment depend on this culture as ngo founders abed and yunus have clarified and martha chen family as first employee of brac and subsequent careers in global public health clarify;  bangladesh did not have enough trained doctors to serve the villages- 2 miracles innovated by fazle abed - were mass training of village mothers in provision of oral rehydration, and designing a village business around village mothers door dashing about 10 basic medicines- brac effectively became the nation's largest wholesaler of these medics; as brac evolved, nearly 100000 village mothers made a living by doordashing basic meds, and over time one mother per 300 families also became most trusted connector to additional health services

UNICEF James Grant saw Oral Rehydration Therapy as infant health's greatest leap forward; unicef funded nationwide training of village mothers of ORT and then nationwide child innoculations- both systems of action education abed blt inspired by Paulo Freire; paul farmer and jim kim founded partners in health while students at harvard; one of their rural solution needs was treating tuberculosisis; abed head desgnied to most effective village process for doing this; in the early 2000s gates and soros foundations together with the global fund united around these bottom up health networks; it is clear that until a nation has a last mile health system economic growth is not practical - in other words health societies may generate strong economies but not vice versa

ai can offer huge sdg and good opportunities; but we need to celebrate ai for sdgs particularly on last mile health, (human energy ie food/water), in turn this depends on ai education and ai empowerment of womens and everyone's safety 

while we know of 2001 on as a very sad time due to 9/11, the connections made between the rural practitioners abed , chens, farmer kim grant/ and leaders gates, soros and other were critical to human development; fortunately guterres was by now participating in this having progressed his career from PM of Portugal to portuguese red cross (then un refugees) before 2017 onwards UN leadership

today guterres is the most central massive partner in how much ai can be prioritised for sdgs and if enough isnt will the broken system legacy from the 20th c extinguish us all; please note the question any responsible journalist needs to prioritise now is what ai solutions can turn sdg crises round

back in the 1880s stanford was founded when the gov of california lost their only child - teen to water based disease caught while family was on a tour of Rome. From that moment on - the stanford's declared responsibility fir dev of every califoirnian chikd with stanfird university the platform they created to do do that. Go stafod HAI Alpha go in ever possible SDG way with Guterres www.worldclassllms.com

we've put lila ibrahim's story as transfer from eg silicon valley and coursera to deep mind up here;  moreover attending geneva's july aifirgoodsummit , 3 big thinks:

lila ibrahim keynote with new head of itu

itu, who, wipo announcing they are taking world health ai to a higher level than other itu sdg focus grouos

gutterres announcement of new hi level ai advisory around him

arguably lila ibrahim's connection with top engineers of human and generative ai are second among women hi-tech only to dei-fei li - yes i realise there are big donors including melinda gaets and priscilla chen but since 2010 no i duo has transformed more than hassabis and fei-fei and effectively lila is demis hassabis own guide to the valley -soo also this interview https://www.ft.com/content/c43cd848-367a-4c67-8cf1-7f34d3eaf84e -put another way ibrahim ability to draw in disciplines that can be changes by ai may be similar to role etchemedy plays with fei-fei li


we asked bard july 2023 for top nomination of ai and health data

  • AI in Healthcare: A Roadmap for the Future by the National Academies of Sciences, Engineering, and Medicine.

This report provides a comprehensive overview of the potential of AI to improve healthcare. It discusses the many ways that AI is being used in healthcare today, and it identifies the challenges that need to be addressed in order to realize the full potential of AI in healthcare.

The report also provides a roadmap for the future of AI in healthcare, identifying the key areas where AI is likely to have the greatest impact. These areas include:

  • Personalized medicine: AI can be used to develop personalized treatment plans for patients by taking into account their individual genetic makeup, medical history, and other factors.
  • Early detection of disease: AI can be used to develop early detection methods for diseases, such as cancer, that can lead to earlier diagnosis and treatment.
  • Virtual care: AI can be used to provide virtual care to patients, such as through telehealth consultations.
  • Robotics: AI can be used to develop robots that can perform surgery or other medical procedures.
  • Drug discovery: AI can be used to accelerate the discovery of new drugs.

The report concludes by calling for a coordinated effort to accelerate the development and adoption of AI in healthcare. It identifies the need for increased funding for AI research, the development of ethical guidelines for AI in healthcare, and the training of healthcare professionals in AI.

I believe that this report is an essential resource for anyone who wants to learn more about the potential of AI to improve healthcare.

(in searh of bard citation, at a nontech level these sources worth a 3 thumbs up imo

https://www.nationalacademies.org/dAI, Data Science, and BigData Approaches to Accelerate/Expand Research and Evaluation nov 2022

https://nam.edu/wp-content/uploads/2019/12/AI-in-Health-Care-PREPUB-FINAL.pdf interesting reminder how much changed being published before deepmind protein database and nlp innovation lit review covid

whilst not on health , may be relevant to see may 2023 whitehouse update https://www.whitehouse.gov/wp-content/uploads/2023/05/National-Artificial-Intelligence-Research-and-Development-Strategic-Plan-2023-Update.pdf

here are 3 partly random cases which hopefully will convince anyone still in doubt that the llms are the gateway to web3 we need if media is to celebrate sustainability- augmented reality as main metaverse platform to web3 look to be suffering from monty pythos dead parrit syndrome

the 3 sources I see as top of AI and health data:

  1. EMR recording via LLMs

This source explores the potential of large language models (LLMs) to improve the efficiency of electronic medical record (EMR) data entry. LLMs are a type of artificial intelligence (AI) that can be trained on large amounts of text data to generate text that is similar to human-written text. This makes them well-suited for tasks such as summarizing clinical notes or generating patient discharge summaries.

The source discusses how LLMs could be used to automate the process of EMR data entry, which could free up physicians and other healthcare professionals to focus on more patient-facing tasks. The source also discusses the challenges of using LLMs for EMR data entry, such as the need for large amounts of training data and the potential for bias in the data.

  1. ChatGPT in PV

This source explores the potential of ChatGPT, a large language model developed by OpenAI, to improve the diagnosis and treatment of patients with pneumonia. ChatGPT is a chatbot that can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

The source discusses how ChatGPT could be used to help patients with pneumonia communicate with their healthcare providers, answer questions about their condition, and track their progress. The source also discusses how ChatGPT could be used to help healthcare providers diagnose and treat pneumonia more effectively.

  1. T2DM prediction models

This source reviews 40 papers that explore the use of artificial intelligence (AI) to predict type 2 diabetes mellitus (T2DM). The source finds that AI models can be used to predict T2DM with a high degree of accuracy, especially when they are trained on large datasets of clinical data.

The source also discusses the challenges of using AI to predict T2DM, such as the need for large datasets of clinical data and the need to develop AI models that can account for the complex factors that contribute to T2DM

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