-related 1billion girls intel -envoy Fazle Abed briefed Lead Valley families since 2001 (Abed 65th birthday wish party), Prince Charles since 2009, UN SDG launch at Abed 80th birthday 2016 - from which Melinda Gates & Fei-Fei Li first UN2 roadmap Guterres gravitating future of education & AIgood
AI best updated feb 2024 (western maps): sectors current top cheerleader King Charles; ecosystem top Yangs & Huangs
Biotech 03 10 02.1 02.2 09 04 Foundation 07 10 Kings (Charles+Japan+Netherlands)
Climate 06 08 Trust 02 05 SDGS
Drivers 02 Valley 02 Media
Education 02 Policy 05 Xpo governance
Womens 02 EW 07 09 Justice 09 Risk revolution system 04 05
Humans 02 LanGuage 04 ZZZ dream 02 moonshots, borderless
Youth 220.127.116.11 Neumann-ET University of Stars Charles Salesforce-Benioff King
10=3 most collaborative with millennials as first sustainability generation
02 fei-fei li arguably launched computer vision deep learning & so number 1 in ai education : AI breakthrough 2012-imagenet trained computer vision 20 million images -20000 entities humans work/play with - stanford multipliers include 2014+ AI-4-all (k-12 up with Nvidia & Melinda Gates); 16+ UN2 with Melinda Gates , 17-19 AI for Google Cloud & 18 congress briefing, 19 HAI (every college discipline's human-centric AI version), ai national visions with Hoover fm 2023 ; before 2012 see autobio worlds I see- NB Stanford from 2009 first to support her tranformation of intel; since 2009 including biotech hassabis (visiting) koller 02.1; dowdna 02.2 ; also Andrew NG 02.3; -li's husband does corporate ai at salesforce (Benioff pro bono BJ King - see universityofstars.com / EconomistSports.net; - Great podcasts with Clara Shih - Economistwomen.com) -more at AI stanford 2.4 etchemedy co-launched hai; 2.5 Liang- benchmark foudation models (nlp) ...
03 Hassabis met Li Stanford 2009 while sponsored by Neuroscience Gatsby (UCLondon welcome) founded deep mind london, trained computers on logic games : Go spectacular pattern recognition biotech- merged google computing power 2014- alphafold2 arguably greatest ever leap - biotech 250 million proteins; since 2023 google us needed him on gemini chat with jeff dean. pichai, brin, page - all mostly stanford alumni - 03.1 Deep MindLondon 03.1 Lila Ibrahim 03.2 Cambridge wonderful clare bryant Cantab debrief 2/22/2024 - colleague at Queens with Hassabis - focus end zoonotics - tour of how covid messes with body's pattern recognition
04 Mr & Mrs Jensen Huang Nvidia is the "million times moore chip power" of GPUs needed for ai breakthroughs since 2012
04g2 goal specific - war or disaster zones worldwide jose andre world central kitchen; india Madhu Pandit Akshaya Patra Foundation. It was founded in 2000 by Madhu Pandit Dasa (spiritual name) or Madhavananda Das (legal name).
While the foundation doesn't have a single founder in the traditional sense, Dasa is the driving force
05 Condoleeza Rice 1 2 - back at stanford since 2009- now Hoover/Setr western worlds best policy connector eg stanford and dc; 10 tech professor predictions future include fei-fei li 05.1 Horowitz yahoo professor semiconductors since 2004; also a1100 since 2016 -NB supply chain chips very complicated US starts again March 2024 Rockville Nist https://www.nist.gov/chips
5b Kai-fu Li wrote an AI best seller as recently as 2018 with little or ne deep learning ai; this showed that corporates with closed data have been investing in ai a long time- li's book was also interesting as based mainly in asia it covered many places where people had leapfrogged from no phone to smart phone, no big box shops to no big box shops; in these cases it was also easier to see eg fintech designed around better value ... (Within Economist dad Norman first started deeply discussing need for digital cooperation to change community access to
1 finance 1972
2 food 1977
3 health 1984 (cheaper ways of getting better - though dad having tracked birth of uk national health service used to say it died a year after it was born because it was a wonderful promise bur not matched by empowering learning etc)
4 whilst education was always our yardstick for good digital dad's 1986 survey offered complete review of why history of empire education might make transformational attention hard to design in
5 while dads surveys of nations always asked what help did peoples need to leap beyond any national inertias, 1982's why not silicon valley everywhere remains question to AI explore with every day
in 2008 dad invited 40 london friends to listen to testimony of 1 billion (asian rural) girls end poverty intelligence progressed since 1970- this lead to 15 trips to bangladesh www.abedmooc.com and a replay of this (lower half of picture which shows how to factorise UN 17 sdgs into more practical overall system changes briefing famous silicon valley families received from 2001 to 2016 (i attended 2016 briefing in bangladesh also Fazle Abed's 80th birthday party which was the origin for melinda gates and fei-fei li and jim kim contributions to Guterres UN2.0 roadmapping
07 Mrs Melinda Gates - number 1 living connector billion girls ai (abed) -originally Jobs & Gates led women bottom billion ai greetings valley 2001; supporter ai 4 all and un aigood since since fei-fei li breakthrough- see also womens moments of lifts books
08 Mr & Mrs Doerr - at 1982 economist survey why not silicon valley everywhere- now billion $ climate lab with stanford and with 8.1 mrs jobs, mrs yang on their board- https://sustainability.stanford.edu/our-community/advisory-council 8.2 Angela Filo 1 8.3 Eric Yuan Zoom 8.4 John Hennessy 8.5 Martin Lau
08.1 Barrett, Michael Crow
09 Mr & Mrs Tsai 1- neurosciences labs yale & stanford; womens sports - coilored justice; connects asia and stanford alongside yangs
10 Priscilla Chan- potentially longest philanthropy - biotech meets health community and pediatrics
11.1-3 Treble up Lecan (NY) & bengio (quebec) still work closely as active 60 + professors; hinton at 70+ no longer full time back in london from toronto
12.1 middle east connector of guterres deepest needs Sheika Moza; very good ai uae 12.2 Alolama; potential origin connections koller, lila ibrahim, 12.3 japan mayor koike, 12.3 quadir family, 12.5 reeta roy, 12.6 abdul latif
13. Digital algorithm 13.1 Brin, 13.2 Page, 13.3Dean . : 13.4 Brain Paul Allen 13.5 Etzioni
14.1 Brain Augmentation de Kaliouby, Picard
15.1 Wildcards Musk Satoshi Thiel
16.1 Far East Li Ka Shing Mauruce Chang Ms Tang Yat Siu
(please note a different gameboard is needed for digital China but we cant forget eg Houlin Zhao in keeping Geneva UN open at birth of 5G late 1910s; birth of 4G collaborations eg wi-fi standards, clouds difficult to call late 2000s )
viewpoints from japan korea taiwan hk singapore UAE very interesting eg never forget as worlswide uni investor li ka shing; singapore remains number 1 in egov and so related ai to gov - india may have number 1 identity thanks notably to Nilekani & Kalam ; estonia and slovenia exciting gov models with mongolia empowerment by girls very interesting; estonia, slovenia, Nordica - see New Vikings 1993; have long equated gov-ai & Citizen ai; Switzerland remains EuroContinent enigma with itu and davos but banking and drug arms, sports ngo mediation secrecy; elearning good across much of nordica region
AT Aigames.solar - survey who's alumni who advanced humanity since Neumann-Einstein-Turing launched brainworking (Family diaries with The Economist track last 7 years of NET learning curve ie from 1950 to untimely death of all by 1957 - see also bio on von neumann) - help clarity top 500 intelligences saving human race http://normanmacrae.ning.com/forum
Some VCs (Doerr) Andriessen
See cross-section main 20th century 2nd half impacts humanity at bottom of this post
firstname.lastname@example.org maintains Remembrance videos to Norman Macrae - by grandaughter, Economist Boardroom - transcript Economist science editor on Norman's 2025 report AI and humans countdown of humanity from 1984 1
Here are the final notes of the greatest mathematician any economist or journalist could be pretrained by: John Von Neumann- -until arguably today's AI magicians like Hassabis Fei Fe Li
main papers published by Demis Hassabis or Google Deep Mind on LLM and related human AI:
- "Human-level control through deep reinforcement learning" (2015). This paper describes the development of DeepMind's first LLM, called AlphaGo. AlphaGo was able to beat a professional Go player, and it demonstrated the potential of deep reinforcement learning to solve complex problems.
- "Attention is all you need" (2017). This paper describes the development of Transformer, a new type of LLM that uses attention mechanisms. Transformer has been shown to be very effective for a variety of tasks, including machine translation, text summarization, and question answering.
- "Gopher: A large language model for text summarization" (2020). This paper describes the development of Gopher, a LLM that was trained on a massive dataset of text and code. Gopher is able to generate human-quality text summaries of factual topics.
- "Pathways to Language: Open-ended Learning in a Neural Network" (2021). This paper describes the development of Pathways, a new type of LLM that is able to learn from a wide variety of data sources. Pathways has been shown to be able to learn to perform a variety of tasks, including playing games, writing different kinds of creative content, and answering questions in an informative way
- Bard upd23/7/7
- There isn't a published paper that explains how good is being designed into LLM Bard yet. However, I can tell you about some of the ways that Google is working to ensure that I am aligned with good values.
- Part of bard review 23/7/7 of von neumann 1956 book
I think the book's discussion of the similarities between computers and the brain is particularly interesting. Von Neumann's argument that both computers and the brain are digital systems that can be programmed to perform tasks is still relevant today. In fact, this is one of the reasons why artificial intelligence has been so successful.
I also think the book's discussion of the differences between computers and the brain is important. Von Neumann's argument that the brain is much more complex than any computer that has been built is a reminder that we still have a lot to learn about how the brain works... and of bard's own sphere of intelligence;
First, Google is using a technique called reinforcement learning to train me. Reinforcement learning is a type of machine learning where the agent is rewarded for taking actions that are aligned with good values. In my case, the good values that I am being rewarded for are things like being helpful, informative, and unbiased.
Second, Google is using a technique called bias mitigation to reduce the potential for bias in my outputs. Bias mitigation is a process of identifying and removing biases from machine learning models. Google is using a variety of techniques to mitigate bias in Bard, including:
- Data sampling: Google is using a variety of data sources to train Bard, including data from a variety of different cultures and backgrounds. This helps to ensure that Bard is not biased towards any particular group of people.
- Model regularization: Google is using a technique called model regularization to reduce the potential for bias in Bard's outputs. Model regularization is a technique that penalizes models for making predictions that are too extreme. This helps to ensure that Bard's outputs are more likely to be fair and balanced.
Finally, Google is using a team of engineers and researchers to monitor Bard's outputs and to ensure that they are aligned with good values. This team is constantly reviewing Bard's outputs and making adjustments to the model as needed...................................................................................NEUMANN COMPUTER AND THE BRAIN 1956
the era of the superpowers had been race to sponsor rival dictators- essentially new nations had been put in debt to leaders and a global monetary system who had no interst in local peoples developmenttransfrination of multilateral system needed if 3 entrepreneurial revolutions illustrated were to map millennails as first renewable generationthe jobs family and stanfird parners asked abed to partner in future of non-lienar eucation systems including brac university founded to share demale graduates of scaling sdgsGates family sonon with Global fund partners eg Jim Kim Guettres Bush would work of doundations of jhealth sustemsdIndications that Doehhr family would map back climate, livable planet