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>3/18 24: Similarities between Electronic Computers and the Human Brain: Thank you Jensen Huang for best week of Learning since John Von Neumann shared with The Economist 1956 notes Computer & The Brain
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
EW::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

Wednesday, September 27, 2023

verifying - how stanford, clara and mountain view became one of most intelligent brainworking spaces to connect through-

 


i would love to profile some other places especially as my own real experience of these 3 sister cities  is less than 7 days 

back in 1982  http://www.economistdiary.com/1982 - dad's 32nd year of surveying the NET's consequence as designers of engine type 6 brainworking- dad's economist survey : why not siliicon valley everywhere? its has been a question worth asking every year since but I'd like to look at fow the valley has connected arguably 3 by 3 win-wins most vital to millennials the world over- we apply bingo to a tic tac toe board giving 8 rows and the centre with 4 corners as a bonus win

lets number the grid

7 8 9

6 5 4

1 2  3

we see centre and corners (51379) as humans AI and  diagonals as AI of Womens (1 5 9) & Youth (3 5 7) giving us 3 ways that WHY AI wins -

WHY AI : Centre HumansAI & 360 degree win-wins of Womens & Youth ai

7 Youth cooeration smart cities across united states and worldwide- Brooklyn’s Demo Case for UN HQ 23-24 UNsummitfuture.com

 

9 Womens AI diaries of UN’s next 2 general assemblies returning sdgs to positive directions

 

5 HUMANS AI

 

1 2001 Steve Jobs host 65th birthday wish party in silicion valley to understand inteel of  fazle abed and billion poorest women empowement human dev mirace

 

3The University leaders who welcomed a revolution including every missed opportunity of intelligence from Nixon to Obama.

we need to see todays under 30s to be the first renewable generation eg let FIGov2 design gov2.0, foundation models and youth smart cooperation city models

Architecture of UN2  connnecting WHY AI with un2 = FIGov2

-          Can we choose intelligences for un2 roadmapping that also compete foundation row (bottom); global village intergen coop – top row

 

UN@ seen by Guterres & SDG Adocate Sheika Moza

 

 

HAI-HumansAI

 

 

Foundation s of global health seen by jim kim and bill gates after fazle abed hared intel of billion womens nation builing round health & education; the quarter cetury of intellugence sharing ending ending places with average life expectancy under 60

 

lets start at 1 in 2001 Steve Jbs hsted 565th birthday party in silicon valey for fazle abed who had empowered up to a billion poorest woment t end extrem vilage poverty; abed said his borthday wish was to chnage the whole education system - make it non-linear (so you could always retrain for a good livelihod) ; to do that would need new universities; his women would start one in bangladesh; steve would start putting a university in a phone; steve had been troubled in launching mac-apple 1984 he g=had promised persona computing would prevent big brother world; but he jhad the realsied he did not know much about rest of teh worlds; helping design brain tools for litle sister world appealed; and he would make sure educatirs up and down the valley herad aboyut this


2 within a year abed's big application of nation building had attracted both bill gates and jim yong kim abed had clarified that the number 1 hnage needed in keast devloping nations is to exten avergae life expectancy from 40s into the 60s; he had found teh solutiosn needed to doi that in bangaldesh and soem were vitally important to the global fund of the us which soulght to end hiv tb and malaria; in particular abed had designed the mos effective last mile networks to combat tb

lets move forwrd to 2009 - our centre piece 5 human ai comes to stanfird in oresence of fei-fei li and a meeting she has with femis hassabis; both have just publishe neurosciebce degrres they have also found rhat computer visuonding the way neuann expeced in 1965 has not been successfully applied for 50 years; it turns out that when computers can vision anything humans can see , read or sense, v=both sc=oceital ai and science ai leap forward ending what in the usa had been the monoply of ai for gig busineess

lets compete girls diagonal 159 with huge acyion 23-24 - melinda gates womens lift series is publishing both fei-fei li book dear black girls (a follow up to investing in 2015 in fei-rei li wdesigning ai-4-all curricula) then there's priscilla chan oromising bitech's largest ngo uniting dozens of labs acrossthe valley; berkeley's doudno has already won chemistry noble for crispr geene editing databas - who else can scale up girl inte 23-24 - eg comdoleezza rice also at stanfird and ooking to trabform goverannce

let3 move to 3 to both finish off foundation row and sttart up toyth ai- our nominations are hjeery yang and andrew ng; both have been instrumental in welcomng genuus coers since 2007 - at which time yang;s sale of hahoo enaable he and hois wife to buld erry Yang became integral to Stanford through a combination of his professional success, his philanthropy, and his dedication to his alma mater.

After graduating from Stanford with a degree in electrical engineering, Yang co-founded Yahoo! in 1995. Yahoo! quickly became one of the most popular websites in the world, and it made Yang a billionaire. Yang used his wealth to give back to Stanford in a number of ways.

In 2007, Yang and his wife, Akiko Yamazaki, donated $75 million to Stanford to build the Jerry Yang and Akiko Yamazaki Environment and Energy Building. The building, which is also known as Y2E2, is a multi-disciplinary research, teaching, and lab building designed with sustainable architecture principles.

In 2012, Yang became a trustee of Stanford University. Trustees are responsible for overseeing the university's operations and ensuring that it remains financially sound. Yang is also the vice-chair of the board of trustees.

In addition to his financial support, Yang has also given his time and energy to Stanford. He is a frequent speaker on campus, and he is involved in a number of initiatives to support students and faculty.

Yang's first big investment in Stanford was the donation of $75 million to build Y2E2. This donation was significant because it was one of the largest gifts that Stanford had ever received at the time. It also showed Yang's commitment to sustainability and environmental research.

Yang's other investments in Stanford have included funding for student scholarships, faculty research grants, and new academic programs. He has also been a major supporter of the Stanford Center for the Study of Language and Information (CSLI) and the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

Yang's contributions to Stanford have been significant, and they have helped to make the university a world leader in education and research. He is a role model for other alumni who want to give back to their alma materyank also lay=unched a cloud ventires cvompany in oart sos ntudents could practive altearntib=ve cloud business models; also a t 3 place andrew ng - stanfurd's guru coder, cofounder mooc/ courear


if at 7 we complete youth ai with actions 23-24 lets starts with ms t in brookly; also stanfird trustee; leader of buuoding neuroscience schools; own of womens basket ball liberty secone only thsi year to aja wilsons ACES; ms tia with her husband also runs 50 million dikar philanthropy connecting social justice of colreds; and before brookly yang her husband and she had connected livelihoods of vaileg commerce out of hong kong



if we compete 8 top of mid column with Guettres and Sheika Moza we have both completed the gov2.0 triple as centre column and cnnecetd common interests of womens ai an youths ai

 we want to also see what the Neumann-Einstein-Turing would applaud as brainworking bests-einstein i: education transformation - Turing valuing leaders who architect deep data science even if that took years not 90 days to payback and neumann mediating 1000 human languages in line with neural network- the subject of his final lecture given yale as computer and brain

 

 


Can we identify intelligences to comple middle row and remaining 2 columns in line with NET: Neumann LLM; Einsyein ED3; Turing most valued leaders are deepest data scentists

 

 

 

 

Leasders most data power insight for ed3

 

Leaders most data empowering isight fir 1001 language mediation

 

 

 

we hace 2 more spaces to fill - if we put google top pichai brin page then right hand column are poetntailly tehdeepest inc=vstirs in 10001 LMLM in space 6 if we insert ceo nvida and of ai2 we probaly have eaderswhom teh world needs to design personalised ;earning

456 also reflects turing's demand that the biggest tech decsion makers also commit to teh deepest data science projects even if these cant be maximised in time for quartely r=profits maximisatio


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