Don't worry if this picture looks like a mess - it does to us. Currently the world economic forum suggests that to be a great brainworker you will need to master all the admin expertises in its top picture; happily the younger half of world needs to empower something a lot simpler wherever community grows on earth

Move 1 is make listings of who advanced humanity since 1951 - of course you can take more recent dates eg start of this century or 1984; but 1951 is when diaries of the NET (Neumann Einstein Turing) first appeared in my family's bookcase because The Economist had my dad Norman Macrae to Princeton for a year to understand what futures questions journalists of brainworkers could ask engineers and you all.

Move 1.1 start discussing your lists with peer networkers be these business, family, community or anyone whose intel you interact, learn and action with

If those are the basic moves, what are the gameboards to play on. Neumann had said try to vision multi-wins. As far as i am aware the 3by 3 tic tac toe bard viewed as offering 9 bingo wins - 8 lines plus the centre with 4 corners is a simple board fir seeing 9 wins.

Our surveys showed of 21st C advancements for humanity primarily 5 folk are mathematically and humanly continuing the 1050's NET's intent for computers and brain to support each other's visions and celebration of the human race. The greatest maths magic ever shared by 8 billion beings begins by asking what if educators and business investors spend time training a machine TO SEE ANYTHING HUMANS SEE.

Here's what resulted because at age 26 Fei_Fei Li asked what if a computer is taught to see the 20000 things children learn to see and name first

Fei-Fei Li's new book "Worlds I See" reveals one young immigrant's rise to a leader in AI. 

Stanford HAI Co-Director and computer scientist Fei-Fei Li’s path to becoming a leading voice in AI was not linear. As a young teenager, she boarded a plane with her family from China to New Jersey with less than $20 to make a new life in America. She struggled to learn English while keeping up in school, and spent her free time working in restaurants and at her parents’ drycleaning business to help the family stay afloat. Her full scholarship to Princeton came as such a shock that she asked two different high school advisors to review the acceptance letter. 

After Li’s early focus on physics, her time as a PhD at California Institute of Technology (Caltech) inspired new interest in computer vision and neuroscience. That led to her groundbreaking project ImageNet—the largest database of images ever created, 15 million images spread across 22,000 distinct categories—which set the stage for major advances in AI and neural nets. 

Today Li leads the Stanford Institute for Human-Centered AI and, in her expert role, sits on a UN AI advisory board, meets with the White House, and is promoting an AI agenda that prioritizes human impact. 

In her new book, The Worlds I See, Li parallels her own path with that of the hyper-advances in the field of AI. In this conversation, she discusses her immigrant path, ImageNet tribulations, and why she is continually hopeful about her field.

Your story is the American dream - a young immigrant who succeeds through talent and perseverance. How has your immigrant story shaped your research?

Every bit of my journey lends itself to my research. Being a scientist is about resilience because science is exploring the unknown, just as an immigrant is exploring the unknown. In both, you are on an uncertain journey and you have to find your own North Star. I actually think this is why I wanted to do human-centered AI. The immigration story, the drycleaning business, my parents’ health — the journey I've been through is so deeply human. That gives me a lens and a perspective that is uniquely different compared to a kid who maybe had a more anchored upbringing and a computer since age 5.

In many ways, your book feels like a tribute to mentors - a high school math teacher, PhD advisors, several AI pioneers. Why are these people so important in your journey?

They saw something in me before I saw it myself, as a woman of color. I don't walk around with a huge ego, and it's hard to be one of the few women, or the only woman, in technology. These mentors supported me and saw in me things I didn't see myself.

Most know you as the founder of ImageNet. You discuss how incredibly difficult it was to build this, the many snags you encountered, even some discouragement from respected mentors. Why did you continue?

Delusion? Maybe it’s the same kind of unbelievable conviction that took my parents to America. I think about that: They didn't speak a word of English, they didn’t have more than $20 between them, they didn’t have an education or a social support network here. Why are they here? When I was younger, I didn’t appreciate that. But maybe that passion is my inheritance, something that helped me find my own North star. 

You note you have seen an exodus of students and faculty leaving the research lab for AI companies. Is this common with major technological advances, and does it worry you?

Yes, we’ve seen this before. Just one example in computer science is hardware architecture design — we’ve seen that shift to industry. I don’t necessarily think this is bad. But if the imbalance is too strong, then the implication is profound. Universities train talent, and they’re always oriented to the public good rather than profit. And that healthy balance between blue sky public good, thought leadership, and deep technology is needed in this society. But I don’t know how imbalanced we are right now. I don’t think the generative AI cycle has played out fully. 

You call AI disruptive, revolutionary, a puzzle, a force of nature. But you finally describe it as “a responsibility.” What do you mean by that?

It's recognizing the future of AI is so profoundly impactful that the agency must remain within us. We have to make the choices of how we want to build and use this technology. If we give up agency, it would be a freefall.

Why do you have so much hope for AI?

I see the younger generation stepping up as much more multidisciplinary thinkers and doers. They are enamored by AI, but they are also embracing the ethical conversations - looking at it from a climate lens, for example, and thinking about fairness and bias. My generation was much more naive and undereducated, to be honest. 

If you could ensure people finish this book with one main message, what is it?

This book is about finding my North star, in computer vision and human-centered artificial intelligence. I want to inspire others to find their North stars. Anyone could be an AI leader. If you’re an immigrant, if you’re a woman, if you have a life struggle. I don’t have the typical “tech bro” profile. And I want women, people of color, people with struggles or who come from different backgrounds to be able to see they can define their own paths and find their own North stars. 

Stanford HAI’s mission is to advance AI research, education, policy and practice to improve the human condition. Learn more. 

Before we continue playing out the gameboard

you might like tom compare a global village facilitation network method (OpenSpaceTech of Harris...

Onwards with the gameboard

COMING SOON - chris.macrae@yahoo.co.uk

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previously

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GAMES -- ED Dear NY Friends of ESG or SDG17 PPP - all change please -huge reputation failures predicted by world class brands advisors to those who lag millennials reality of needs

FOLLOW THE UNDERACKNOWLEDGED LADY When did artificial (man-made) intel first value humans? - may sound like an odd question -it was what neumann last survivor of inventors of engine type 6 (computing) Neumann-Einstein-Turing asked to be his life's valedictory neuroscience lectures at yale 1957/8. In 7 short yeras since 1951 princeton training of economics journalists all of the net  were gone.

but while his open sourcing of computers was picked up by ibm/dec, and coding moon landing by kennedy/mit-the idea of designing computers to make human brains smarter was officially banned from almost all US R&D-until FFL a chinese laundry female immigrant teen in parsippany from china asked princeton why not vision computer & brain the way Neuman-Einstein-Turing did.

She spent the 2000s planting this often to noisy male guffaws; in 2009 she came to stanford the only place to take her seriously in her first 15 years in USA.

So officially Stanford didnt co-brand with HumansAi until 2019 launch when about 100 of stanfirds biggest investirs joined in - but there seed grants for HAIin 2018 or ...over in london  vision ai was to be planted  by Hassabis (another stanford formed friendship from 2009) as one of the 2 biggest corporate growths of the last decade from 2014- being applied to games of science - and saving millions of years of graduate work by mapping 200000 protien pattern codes alomst overnight once the computer alhpafold2 had been trained for 3 yeras - imagine that 200000 science breakthrough phds completed in the time individual humans take to do one (technically less surprising when you see switching power of a computer barin now far exceeds huamns ones; can be almost infiitely co=lo0ned or conected to augment each other, never sleeps- i cannot imagine chips with 80 billion transistors can you

what i learnt in 1990s from ten years trying to help design corporate brand valuation in in places like price waterhouse coopers (and media like bbc's branding the marketing advantage or the triple issue of journal of marketing management on leaping beyond 20th C worst media cases) is the west's late 20th C managment world is surrounded by 3 types of maths - deliberately unsustainable (when wall street next crashes the whole financial system will the top 1000 white colalr criminals finally go to jail without passing go, blind (brand perceptins are not realitty and have now targeted subconscousciences of those eg social entrepreneurs who aim toi legislate good eg greenwashing of millennium goals will be a dismal driver of the blindmakers), and 3rdl offering new century a chance that human and artificial intel will win-win in time for youth to be the first sustainability generations

as a DAMPTP MA in maths, seldom can I find anything good to say about most ESG rankings - rather like csr rankings which put enron top until it disappeared- for me, and of course yoyr interests may be different ESG is interesting -nay climactically decisive - if it can help the deepest but small funds like multilaterals with 100 billion dollars become the moral actions of the big sovereign wealth funds - change the purpose of the biggest corporate in each trillion dollar market, and get philanthropy networks to progress social actions the right way (ie replicable lessons to help communities change not shouting about bad stuff); all of this will somehow have to celebrate every time youth design a cryrpo project to race ahead of what elders led networks have shown themselves unable to transform first with possibly the one exception - since 2016 the emerging un2 framework

the world's biggest investors favorite systems triangle ESG

and 1 2 can metaverse humanise ESG and vice versa  (Lists of M leaders 1 ) pres 1

-is a metaverse top 30 useful?

is it a good thing that dc laywers are jumping into big client meta...

E of ESG connects biggest changes that could make under 30s the first sustainable generation - so going green, humanising ai, replacing border wars be culturally joyful hubs- of these compound threats and opportunities the younger half of the world can shape the metaverse- entering 2022 its as free to co-create as the worldwide web in 1990 but is by moores law now supported by a billion times more tech (the scenario we have debated since publishing 2025 report in 1984

why does ai exceed human intel? ai brains can be cloned at a few dollars; they connect through satellites far faster than we do with our aps; they can analyse data from every gps  of space; they can mimic the way nature herself decided next extinctions

twice a year we have tried to host collaboration cafes since 2002 www.economistdiary.com- during march 24-31 we will linkin new york and hongkong around all of the above; we are also joining in the 300 places hosting climate chat - at www.ecop26.com we will try and load resources on all of the above - if any of these subjects interest you please tell us what open resources you think under 30s should have access to first; we are in touch with 100 universities - so far most of them have not wanted to share their graduates; it is clear from covid and ukraine that any university that does not share its graduates now is not valuing younger half of world's sustainability- with special thanks to japan ambassadors and fazle abed who first chaired discussion on linking university grads 10 years ago -in part as remembrance to my father's life time work on entrepreneurial revolution at the economist

related ref: Kai-Fu Lee @kaifulee Jan 13, 2019

This 13-min "Oracle of AI" segment well captures how AI is used in China and my view of its advancement and impact on human society.
60 Minutes

@60Minutes· Jan 13, 2019
In 2017, China attracted half of all A.I. capital in the world. Kai-Fu Lee, a veteran of Apple, Microsoft and Google and his Beijing venture capital firm have funded 140 A.I. start-ups. https://cbsn.ws/2TPJSSa