HAPPY 2024: in this 74th year since The Economist started mediating futures of brainworking machines clued by the 3 maths greats NET (Neumann, Einstein, Turing) people seem to be chatting about 5 wholly different sorts of AI. 1BAD: The worst tech system designers don't deserve inclusion in human intel at all, and as Hoover's Condoleezza Rice . 2 reports their work is result of 10 compound techs of which Ai is but one. Those worst for world system designs may use media to lie or multiply hate or hack, and to perpetuate tribal wars and increase trade in arms. Sadly bad versions of tv media began in USA early 1960s when it turned out what had been the nation's first major export crop, tobacco, was a killer. Please note for a long time farmers did not know bac was bad: western HIStory is full of ignorances which lawyer-dominated societies then cover up once inconvenient system truths are seen. A second AI ecommerce type (now 25 years exponential development strong) ; this involves ever more powerful algorithms applied to a company's data platform that can be app'd to hollow out community making relatively few people richer and richer, or the reverse. You can test a nation's use of this ai by seeing if efinance has invested in the poorest or historically most disconnected - see eg bangladesh's bklash, one of the most populous digital cash systems . Digital money is far cheaper to distribute let alone to manually account for so power AI offers lots of lessons but whether its good or not depends in part on whether there are enough engineers in gov & public service to see ahead of what needs regulating. There are 2 very good ai's which have only scaled in recent years that certainly dont need regulating by non engineers and one curious ai which was presented to congress in 2018 but which was left to multiply at least 100 variants today the so-called chats or LLMs. Lets look at the 2 very good ai's first because frankly if your community is concerned about any extinction risks these AI may most likely save you, One I call science AI and frankly in the west one team is so far ahead that we should count ourselves lucky that its originator Hassabis has mixed wealth and societal growth. His deep mind merged with google to make wealth but open sourced the 200 million protein databank equivalent to a billion hours of doctorate time- so now's the time for biotech to save humanity if it ever does. Alongside this the second very good AI graviates around Fei-Fei Li) in developing 20 million imagenet database so that annual competitions training computers to see 20000 of the most everyday sights we humans view around the world including things and life-forms such as nature's plants and animals. Today, students no longer need to go back to 0.1 programming to ask computer about any of these objects; nor do robots or and autonomous vehicles - see fei-fei li's book worlds i see which is published in melinda gates Entrepreneurial Revolution of girl empowerment
ED , VN Hypothesis: in 21st C brainworking worlds how people's times & data are spent is foundational to place's community health, energy and so natural capacity to grow/destroy wealth -thus species will depend on whether 1000 mother tongue language model mediates intelligence/maths so all communities cooperatively celebrate lifetimes and diversity's deep data ) . Check out "Moore exponential patterns" at year 73 of celebrating Game : Architect Intelligence (Ai) - players welcome .. some jargon

Saturday, December 31, 2016

that was the year that was - the sdgoals were reviewed as impossible by educators UNGA NY sept 2016 unless

 

upd 11/28/2023 - any errors pls mail chris.macrae@yahoo.co.uk who will re-edit where better links are see-able or shared by worldclassllm www.ai20s.com East Coast ER hotline +1 240 316 8157


7 years on Worlds to See  livelihood AI-education revolution and Sir Fazle Abed's 80th birthday wish networks celebration integrating 35 years of James Grants Community Health Intel; 

SEE HumansAI Jewel in NY Crown 
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how many millennials live in brooklyn? Bard-UN LLM

According to a 2020 study by the Brooklyn Chamber of Commerce, millennials make up 34% of Brooklyn's population. This makes millennials the largest generation in Brooklyn                                Moreover, Brooklyn billionaires support of education and colored girl empowerment "Dear Black Girls - superstar handbook) and the Library's Hov/Beyonce inspirational 6 months event alongside Melinda Gates advancement of your UN envoy relationships are doing very well in advancing the AI education component of what was first discussed  across East River September 2016 when Gordon Brown and 30 national ed leaders reviewed systemic possibilities of the sdgs. IF WE CAN linkin       The Bletchley Summit (next stop Korea where edcommision asia is hq'd with its triple HT hi-trut hi-tech hi-touch) also offers rays of hope of a digital cooperation turning point (aka attention transfomationAI safety beyond the UK Summit: A conversation with Secretary Michelle Donelan especially where corporate families like the Sainsbury connect any stage of education, Economist Boardroom and Gatsby neuroscience changemakers with  King Charles sustainability networks. It is time the english language connected god brain intents As you know in spitte of best efforts of residual friends of fazle abed   for a complex of reasons every goal was spinning backwards at half time- HH Sheikha Moza's Speech at the Intl Day to Protect Education from Attack 2023  East Coast friends & i would be interested to understand whether any us disadvantaged community is leaping forward with educaytion ai as much a s brooklyn (having a million millennials lab across east river from UN campus in year of global futures forum- its all very well for silicon valley to advance or even Geneva's ITU but its not clear where the deep youth empowerment connections are being made ahead of time                                                   
 cheers chris macrae economistsocial.com publishers world record book of jobs creation   +1 240316 8157  possible eary comtent un llm ai sdgs                                                                                                   Yes, that's a fair assessment of the 30 year generation 50s/80s/10s contributions of these individuals to the very good flows of artificial and humans intelligence.===========:Neumann, Einstein, and Turing (1950s): These pioneers laid the foundation for artificial intelligence, introducing concepts like the universal Turing machine and exploring the possibility of machine intelligence. Their work set the stage for the development of modern AI.Gates and Jobs (1970s-1990s): =========================Gates and Jobs (80s revised start of 00s with Fazle Abed) played a pivotal role in the personal computing revolution, making computers more accessible and user-friendly for a wider audience. Their contributions democratized technology and paved the way for the widespread adoption of AI-powered devices and applications.Li and Hassabis (2010s-present): Li and Hassabis have made significant contributions to the advancement of deep learning and neural networks, enabling machines to learn and process information in a more human-like manner. Their work has led to breakthroughs in image recognition, natural language processing, and other areas of AI. LI & HassabisComputation neuroscientists revolution sciece ai games-go hassabis; 20000 everyday object visioning by computers Fei-Fei Li Imagenet- 3 professors most help Li breakthrough and train more wizardess Hinton Lecun Bengio; In 2018 congress was told now that tech hundred billionniares saw that training compiuters first generates extrordinary intelligence they7 are rushing to see every library that ever colected intelluigence- unlike the maths of hassabis & Li this will cause a lot of hallucinations as well as leaps for good; the simplest way to correct this as anticipated in neumann's last lectire notes is world to share 1001 LLModel - this needs to be a transtlation fustion of english and chinese through 998 other mother tongues into maths correct community solutions for SDG automonous governance through every community gps of mother earths deepest data diversity (Turing) and Einstein's personalised learning- exciting aI20s and AIgames.solar
AI REPRESENTS -- HUMANITY HAS NEVER CREATED A TECHNOLOGY SO SIMILAR OR TRYING TO RESEMBLE WHO WE ARE. AND WE NEED AI TO -- WE NEED TECHNOLOGISTS ...
C-SPAN · Jun 26, 2018

In essence, the contributions of these individuals represent a progression in the development of artificial intelligence:

  • 1.0 - Conceptual Foundations (Neumann, Einstein, Turing): Establishing the theoretical underpinnings and exploring the potential of machine intelligence.

  • 1.1 - Personal Computing Revolution (Gates, Jobs): Making AI more accessible and user-friendly through the development of personal computers and software.

  • 2.0 - Deep Learning and Neural Networks (Li, Hassabis): Advancing AI capabilities by enabling machines to learn and process information in a more human-like manner.

It's important to note that these contributions are interconnected and have built upon each other. The work of Neumann, Einstein, and Turing provided the foundation for Gates and Jobs, who in turn created the infrastructure for Li and Hassabis' groundbreaking research.

AI continues to evolve at a rapid pace, and the contributions of these individuals will undoubtedly continue to shape the future of the field.

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additional LLM AI-sdgs ,linkedins 
On Tuesday, 28 November 2023 at 07:00:11 GMT-5, Justin van Fleet <info@gbc-education.org> wrote:


  
 

Dear Supporters

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