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
Guterres*JYK*JFK..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
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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.

Tuesday, February 28, 2023

EH: Gamma2Cancer Vertes Bosselut Curtis, Fei-Fei Li Hassabis

Over 70 years of chatting about AI, we heard the repeated view when computational capacity reaches a stage , ai cancer and other drug discoveries will make huge leaps -we expect the next 2 years to bring extraordinary good news - we'd love help in worldwide survey of who will be the cooperation ai connectors of this - 

July 2023 chris.macrae@yahoo.co.uk on this piece of the game Architect Intelligence priority this summer

Our provisional reasonings:

Bard says: I think Antoine Bosselut is the most likely to be advantaged by the advances of AlphaFold proteins and Allen Institute NLP literature reviews.

  • AlphaFold proteins: AlphaFold is a protein folding prediction software developed by DeepMind. It is able to predict the three-dimensional structure of proteins from their amino acid sequence with high accuracy. This is a major breakthrough in protein science, as it can be used to study the structure and function of proteins, which are essential for all life.

  • Allen Institute NLP Literature Reviews: The Allen Institute for Artificial Intelligence (AI) has developed a system called Allen Institute NLP Literature Reviews that can automatically summarize the findings of scientific papers. This is a major breakthrough in the field of natural language processing (NLP), as it can be used to quickly and efficiently access the latest research on a particular topic.

Antoine Bosselut is a Senior Research Scientist at the Allen Institute for Artificial Intelligence and a member of the Cancer Research Team. His research interests lie in using AI to understand cancer and develop new cancer treatments. He has developed several AI-powered tools for cancer detection, diagnosis, and treatment.

I think Bosselut is the most likely to be advantaged by the advances of AlphaFold proteins and Allen Institute NLP Literature Reviews because his research is focused on using AI to understand cancer. AlphaFold proteins can be used to study the structure and function of proteins, which are essential for cancer cells. Allen Institute NLP Literature Reviews can be used to quickly and efficiently access the latest research on cancer.

I believe that the combination of AlphaFold proteins and Allen Institute NLP Literature Reviews will allow Bosselut to make significant advances in the field of cancer research. He is already a leading researcher in this field, and I believe that these new tools will allow him to make even greater contributions.

===

Eva Vertes is certainly one of the top 5 most cooperative AI researchers of cancer who are under 40. She has made significant contributions to the field of AI for cancer research.

Here are a few of her notable achievements:

  • She was the youngest recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2006 when she was just 17 years old. She was recognized for her work on developing a new way to identify cancer cells.

  • She is the founder and CEO of Verily, a company that is focused on using AI to develop new cancer treatments.

  • She has developed several AI-powered tools that have the potential to revolutionize cancer care. For example, Verily has developed an AI-powered tool that can detect cancer cells in blood samples with high accuracy. Verily has also developed an AI-powered tool that can predict the effectiveness of cancer treatments.

  • She is a leading expert in the field of AI for cancer research. She is developing innovative AI-powered tools that have the potential to make a real difference in the fight against cancer.

  • ==========

  1. Christina Curtis is a Professor of Medicine, Genetics and Biomedical Data Science, and an Endowed Scholar at Stanford University. She is also the Director of the Cancer Computational and Systems Biology group.

Professor Curtis received her PhD in Cancer Biology from Stanford University in 2010. She then went on to do her postdoctoral research at the Broad Institute of MIT and Harvard, where she developed new computational methods for analyzing cancer data.

Professor Curtis's research interests lie in using AI to understand cancer and develop new cancer treatments. She has developed several AI-powered tools for cancer detection, diagnosis, and treatment. For example, she developed an AI-powered tool that can detect cancer cells in blood samples with high accuracy. She has also developed an AI-powered tool that can predict the effectiveness of cancer treatments.

Professor Curtis's research has been published in top scientific journals, such as Nature, Science, and Cell. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the United States government on early-career scientists and engineers.

===== longer dialogue with bard on search for ai caner wizards  AIcancer-DrugDiscovery.docx

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