AI Spring began 2012 thanks to 3rd annual worldwide open competition where stanford's fei0fei li's imagenet, world class algorithm designers (eg alumni of Lecun, Hinton, Bengio et al) were challenged to code computer visionining of the 20000 entities humans develop health and wealth with (first time since NET's last notes on brain & computer 1957); 

YOUTHS HEROINE CELEBRITY PLATFORMS COME OF AGE

hip hip hooray world fame comes to those who help education transform attention round humanise goodwill. 

Regarding 2023-24 its urgent that very good humansAI links London Nov2023 start of king charles world series AI summit with Korean AI Spring with Paris post-Olympics youth AI spring - with UN summit future NY sept 2024; biotech ai is ready to multiply Fei-Fei leaps thanks to hassabis deep mind 200 million protein database; so here's possible NY topline meta-cooperation to value multiply new york UN and biotech climate womens intel everywhere.

Breaking Local Diary Wash Dc January 24 - Fei-Fei: Condoleezza Rice Stanford and DC Hoover twin policy making's top 10 Intelligence tech gamechangers . Also special may love is all you need be with Taiwan's 3 male  leaders J's (Nvidia, Stanford, Ali)  and Ms Tang&Tsai

Brooklyn MS T&T Tandon&Tsai.

Guterres & Sheika Moza 1  2

Melinda Gates : womens lifters biotech 23-24 PC & JD.

.	Brainworking machines were given to us by NET (Neumann-Einstein-Turing) in little more than a decade. Two died young so by 1957 they were gone. In spite of huge tech change, its not to 2012 that an extraordinary female mathematician Fei-Fei Li renewed intelligence (computers & brains) to celebrate very good purpose that NET's understanding of mother nature intended. .	.
.	In 2012 humans saw for first time how much  brainworkers machines love big data : 20 million images - spanning 20000 entities that we human most work & play with - be these animal vegetable mineral; man-made and in case of animals body languages and diversity of ethnic or democratic origins. Computer visioning will change everything. You'll no longer need to be a programing whiz to learn how to do what you choose. And conversely one of the greatest tech wizards since 2012 has got a computer to reveal nature's protein codes -some had historically assumed what alphafold2 has open sourced would take a billion years graduate work.  NB some details below may be out by a year or so- eg please check and update with friend bard What's urgently important is to multiply good intelligence; to do that let's help each other see who first gave us which advances  of HAI (HumansAI eg 1 and which big investors leapt in to help The biography of Fei-Fei Li "World I See" gives an account of whom most increased her confidence as a 15 year old arriving in Parsippany New Jersey both between ages of 15-30 when non-famous but loving mentors helped her; and from 2009 several people at stanford who were designing MOOCS and around the world 3 professors who had kept neural network mapping alive ; of these3 professors in ai20s- the 70 something hinton has returned from toronto to london to semi-retire -two remarkably youthful 60 something French- americans/canadians Lecun 1 NYU and Bengio quebec algorithm hub 1 2 provide deep wisdom (he's been asked with Li to advise un Guterres on ai for climate and biotech) and to represent the king charles/ai Turing world series as it its foirst 12 months linking korea spring 2024, Paris youthful celebration olympic summer, UN fall summitftutre my assembly sept   nvidia ceo started building 80 billion transistor chips ; this took 5 years but over 10 he creatred more corporate wealth than any western company ever;  2014 melinda gates who with nvidias ceo asked the laady who had connected the most work on the 20 million imagenet databank to design 10 educational modules on ai-4-all ages from ai dance and ai drawing which 1st grade teachers,parents, skids can use to basic netoirk maths that teenage women might want to know as much as teen males; to various modules on ethics which need applying whenever you are left to make your own self-confidence decisions maths world's deepest logivc-games player hassabis who by 2014 had married google - hassabis need3ed unlimited supoercomputing, google diodnt want to be left out of 2012's breakthrough at its alma mater 10 miles down the riad stanfiord from mountain view.	.
.	.	.

AI Spring began 2012 (first time since NET's last notes on brain & computer 1957); hooray world fame comes to those who help educaion transform attention round humanise goodwill intelligence multipliers- try out simplest ai gamesboard - bingo on the humble tic tac toe grip can integrate 3 triangularions; 

first AI_WHY playing the diagonals (bottom left-top right womens intel; bottom right-top let youth -ie millennial gen's - intel) and four corners around centre of Gravity (HumansAI); 

second FIG: see central pillar Gov2.0 with bottom line Foundation (deep data science) and top line Inter-cooperation (global viulage nets uniting 8 billion humans sustaiability with mother nature); in year 23-24 critical top right female ai players of bio/nature tech at stanfird twin valley : priscilla chan and jeenifer doudno; insert eg guterres and sheika moza top centre - herte's there un contribution sept 2023, and aug 2023 top level biotechai panel of guterres; twin brooklyns womens intelliugenbce energies - eg tandons nyu school of engineereing , clara wu tsais-demale basketball supoerstars libery at barclay cente; neuro science labs at yale & stanford; colored inner city justice funds; trustee position stanford board; chip connections wit taiwanese. 

Brooklyn MS T&T Tandon&Tsai.

GUterres & Sheika M0za.

Melinda Gates : womens lifters biotech 23-24 PC & JD.

AI20s.com is at a crossroads.  Risks can be minimised by facing up to many technical reasons why Neuman-Einstein-Turing gift of brainworking machines faltered - eg 20th c goats of maths died suddenly ; nuances last value multiplying notes on computer and brain and neural networking; professions have prioritised short-term rather than rising exponential intergenerational governance; western media/coms models have turned out to spin dismally since 1865 more often than transforming intelligent attention; Neumann's and Turing greatest girls coders weren't loved much (IF need technical sources: please ask chris.macrae@yahoo.co.uk eg Economist sub-editors  produced 2 deep biographies on von neumann 1993/2020, Understanding Einstein's wish for personalised learning agents requires social change not a lot of maths but yes some science is  messier  and not all critical deep data advances are  possible unless you understand Neumann's 20 general (linkedin) leaps integrating maths and nature's sciences.