Urgent coopreration calls from SDGSyouth latest May 2023:::HAISDGS 1 2 3 4; 5: 30 coops making women 3 times more productive than men 6 7 8.

leaps 1 - Beyond the Moon ..: can you find good enough questions for teachers of any age group to ask AI to share

Freedom to read: if only permitted one read on humanising AI I'd pick feifei short article at https://hai.stanford.edu/sites/default/files/2023-03/Generative_AI_HAI_Perspectives.pdf rsvp chris.macrae@yahoo.co.uk if you have a different pick of a lifetime

Welcome to HAI: Gamechanging AI for humans combines unique combos of tech wizards since 2006Self-id Q: Can you introduce us to 4 main wizardly components of America’s most famous 2023 model CGPT

What is Conversational?

Generative?

Pretraining

Transformer

(see also congress debriefings april 2023 on this choice as most famous )

SO in what ways does 2023 connectivity of chatgpt go beyond any human brain however famous

Am I correct that while cgpt is fluent in many languages, 90% of your training involved texts in English. Discuss!

Are there people working on advanced CGPTs tuned to specific crises- eg where UN leader guterres made 21-22 year of SDgoal 4 crisis – education no longer fit for purpose ............we asked CGPT top 10 goods it expects Ai to help humans with in 2020s--.. Healthcare - improve diagnosis, treatment, and personalized medicine..Environment - monitor and manage natural resources, predict and mitigate natural disasters, reduce carbon emissions...Education - personalize learning, new ed opportunities, and improve accessibility for learners with disabilities..Aid and development - improve disaster response, humanitarian and economic development... Agriculture - optimize farming practices, increase yields, reduce environmental impact..Transportation - improve efficiency, safety, and reduce emissions..Energy - optimize energy consumption and distribution, accelerate the transition to renewable energy..Cybersecurity - detect and prevent cyber attacks, protect personal data, and secure critical infrastructure..Manufacturing - improve efficiency, reduce waste, and increase productivity in manufacturing..Space exploration - analyze large amounts of data and enable more efficient space exploration missions..

 Epoch changing Guides

1 AI Training AI Training.docx

  2 Exploring cultural weakness of encounters with greatest brain tool.docx

 Alphafold new Protein maps can be used to design enzymes to fight plastic pollution; potentially fight cancer with molecular syringe;   to circumvent antibiotic resistance ; to combat neglected diseases like African sleeping sickness'Chagas disease;Cysticercosis; Leprosy ]Lymphatic filariasis [Onchocerciasis ;Schistosomiasis; Soil-transmitted helminthiasis ;Trachoma ;Tuberculosis; Buruli ulcer; it may help accelerate vavvines for malaria;

You shared me that the famous Alpha models of DeepLearning ( see broadcast of 60 minutes april 2023) which has mapped every human protein saving millions of human hours of work ( biggest ever change in biotech) don’t really use C G P T- so what does deep learning ai architecture use RSDE?

What is Reinforcement Learning?

What is Specific Task instead of General Purpose?

What are Deep Neural Networks?




 

What are Evolutionary Algorithms?


Neumann.ning.com
Today's tech is brilliant beyond words - so WHAT IS THE WORLDS BIGGEST PROBLEM? 2021 -1761 -CAN HUMANS FOR FIRST TIME IN 250 YEARS CELEBRATE VALUING MATHS INTEL A DECADE AHEAD OF TIME?
AdamSmith.app Moral Sentiments SDGs.games mapping with Guterres AIforGood decade became sustainability's gen's last chance of south-north and east-west- or the death of United Nations' world trade transparency

Here is Chatgpt May 2023 answer to comparing itself with biotech greatest ever leap alphafold
Sure, here's an analogy that may help: Imagine that CGPT-4 is like a language teacher who has read and understood a huge number of books in various languages. It has learned to understand the patterns and nuances of language, and can generate its own sentences and paragraphs based on what it has learned. When it encounters a new piece of text, it can use its understanding of language to make predictions about what will come next, and generate a response that makes sense in context.
On the other hand, Alphafold is like a puzzle solver who has been trained on a vast number of jigsaw puzzles. It has learned to recognize the patterns and shapes of puzzle pieces, and can predict how they fit together to form a complete picture. When it encounters a new puzzle, it can use its understanding of these patterns to make predictions about where each piece should go, and assemble the puzzle quickly and accurately : to question -...................................................................................
More questions: Q: Could you extend to include wizardry of Fei-Fei Li with comparison above a teacher of 12 year olds may use to vision similar and different work on architectures of CGPT4 and Alpha Deep Learning by Demis Hassibis

You mentioned major tech companies offer catalogues – 5 minute lesson plans on different wizard components. How do you find these?

60 seconds exercise: suppose for teen earthlings: 2020s is more exciting than 1960s moonrace decade of my teens; You mentioned searching ai for beginners but what if a teacher wants to help kids imagineer back from future of 2020s possibilities or just next 3 years of AI is epoch-changing

 

.....................
Q: please tell me how could a 5th grade teacher explain why Stanford HAI is proud of being one of the world's leading GAN (Generative Adversarial Network?)
Chatgpt reply23/5 -: A GAN, or Generative Adversarial Network, is a type of computer program that can create new things that look like they were made by humans. It works by having two players eg two artists who are trying to compete with each other. One player, called the generator, tries to create something new, like a picture of a dog. The other player, called the discriminator, tries to figure out if the picture was made by a human or by the generator. The generator keeps trying to make better pictures until the discriminator can't tell the difference between a picture made by a human and one made by the generator.
In simpler terms, a GAN is like having a computer artist that can create new pictures that look like they were made by a person, and it gets better the more it practices.
33 years ago we started practicing core brand transformation inspired by new systems modeling -eg of CK Prahalad & Gary Hamel- typically when needing to transform as large brand entity as the UN we'd propose better start again and then reverse takeover-; we realise that's not an option UN2.0 so urgent to address what's the 9 piece combo of UN2.0 Tech Envoy Team at Guterres HQ- how contextually value roadmaps for anyone SDG partnering Guterres: Global Connectivity since 1865 (ITU); AIforgoodreborn ITU 2018 stems from Neumann peers 100 times more tech per decade since 1935 -see dad's bio of vn
Digital Cooperation launched by Guterres 2018 but seen by those valuing youth generation as antidote to failure of millennium goals to value education more that primary school; Digital Capacity Building: sustainable gov tech requires UN2 to be skills benchmark wherever gov designed to empower; this leaves 4 traditional connections of UN to digitalise inclusion commons human rights so that trust/safety is brand's reality; 9th piece CODES environmental sustainability - this seems to have emerged as it became clear that cops may lead on adaptation but adaptation needs to be borderless community replication of deep solutions
379 UN Antonio Guterres :: Family & Smithian Diary: why 1984's 2025 report published to ask Economist Readers to co-search 3 billion new jobs 2025=1985 following on prt 1 teachforsdgs.com
Learning's Unconventional Worldwide Premieres
300 vriti world premier ed3 tour ^^^ NFT V 0 1 2 3

2025Report- download monthly update 100 learning networks millennials girls love most
(Economist Surveys inspired by Von Neumann 1984-1951; why 1936 dad & von neumann started 100 year race to prevent extinction; why dad's last year nominated Fazle Abed Entrepreneurial Revolution GOAT - who do you vote for SDGoats.com

00Fazle Abed: Which educational and economic partnerships most empower a billion women to end extreme poverty, and value their children’s sustainability? Fortunately for SDGS.games 2020s, start deep village maps around partners/alumni of 50 years of servant leadership by fazle abed 1970-2019

IN 1970, life expectancy tropical villages up to 25 years below world average _skills trainers priority last mile health world’s most trusted eds needed eg epidemiologists UNICEF Grant, Brilliant, later Jim KIm –& to end starvation food's borlaug

3) last mile health
2) agriculture for village food security


4)non-linear livelihood education
5) timing what platforms partners could facilitate entrepreneurial revolution not not just inclusive community but cooperation in full and meaningful entrepreneurial employment

financial entrepreneurial revolution for nation's people history excluded from machine age
billion women's Sustainability COLLABS 

 Intergenerational collaboration entrepreneur platforms 5.1  metavillage sustainable community building - women empowered:15000 families at a time;5.2   billion asian women,5.3  brac net; 5.4   asian universities share sdg graduates 5.5  climate smart village exchanges,5.6 meta and zoom-me up scotty

BANK FOR ALL 1.1  1.2  1.3   1.4   1.5   1.6 celebrate 30 most human collaborations from developing world of last half-century - inspiring  anyone valuing UN and youth as first sustainability generation
EDUCATION  adult village entrepreneurs 4.1; primary 4.2  ; teen 4.3; university4.4 ; pre-school4.5;tech multidisciplinary luminaries 4.6 
HEALTH oral rehydration 3.1 ;para health "doordash" basic meds 3,2; scale vaccination3.3 ;tuberculosis & 3.4  Frugal processes eg wash sanitation, maternity3.5  ; James Grant School of public health 3.6
FOOD/land security 2.1  rice; 2.2 veggie  2.3    cash crops & village fair; 2.4  poultry;2.5  dairy, 2,6  14 nation leading supply chains financial opportunities to end poverty ;
....................................please tell me how could a 5th grade teacher explain why Stanford HAI is proud of being one of the world's leading GAN (Generative Adversarial Network?)
Chatgpt reply23/5 -: A GAN, or Generative Adversarial Network, is a type of computer program that can create new things that look like they were made by humans. It works by having two players eg two artists who are trying to compete with each other. One player, called the generator, tries to create something new, like a picture of a dog. The other player, called the discriminator, tries to figure out if the picture was made by a human or by the generator. The generator keeps trying to make better pictures until the discriminator can't tell the difference between a picture made by a human and one made by the generator.
In simpler terms, a GAN is like having a computer artist that can create new pictures that look like they were made by a person, and it gets better the more it practices.

Saturday, December 31, 2022

May I wish everyone a happy, safe & Virus Ending New Year - in cooperation search of HAI Human-centred Art Intel

F1 When I lightly sprained my ankle avoiding a wheelchair traveling at 10 mph down the narrow corridors of Cambridge maths lab in 1972, I didn't recognise my close encounter. In fact I spent the rest of my time at DAMTP trying to stay out of Steve Hawkins' way. With hindsight I learnt 2 things about myself. I am not a a mathematical wizard. But wherever I am lucky enough to friends someone who has met a wizard I try to prepare a deeper question every time I get a chance to discuss that wizard. Continued in foot 1

Contextual Grounded Mapping of Maths and Relationship Systems.

aka journeying through every GPS around human and female centric intel, economics and coms

Questions 

Q1 what are relationship systems of 1 nature, 2 human design? my preferred answer - systems are maps of relationship connections that involve exponential governance : their consequence is either a rising or collapsing exponential -chekour jargon spinning virtuous or vicious (or double loop reinforcement mapping) 

Q2 what does exponential valuation of living systems integrate? i focus on two observable patterns of integration- nature's and man-made. There are moments in the future history of humanit when nature requires us to unite around a higher order understanding than previously known. For example Darwin provided enough evidence that nature as a life-giving or life-taking power offers in some ways ahead that are even more fundamental than the golden rule religions codes of what thu  shalt ir shall not do to one another. 

Q3 do economiics and intelligence result in equivalent futures of life? It is my hypothesis that they do because both define or are defined by what system mapping maths does. Whilst not a great fan of 2 dimensional frameworks may I suggest that we consider:

natural versus man made - exercise how do you interpret viral in nature's context and in the messaging contect of anti-coial or social media/mediation 

logical/ethical heuristics versus deep data analysis : exercise around 1970 did logical economics get increasingly replaecd by number crucnhing economents; around 2006 did heurisdtics models of intelligence get replaced by deep data learning modles

Q4 Now Valuetrue question on which uniting 8 billion human's advancement on degradation depends - to what extent have data analyses of economics and intelligence demonstrated completely different visons? Until economsits and brainworkers talk the same code:  If you are parent, which vision's exponential consequences do you back for your children's lives of relationships to be harmoniously empowered by nature's?

HISTORY CLUES - we knew when the UN was born that Computer brainpower would infinitely exceed humans alone by the time millennials grew up. So the only true question was how to make sure the maths of data zooming up and dw from every gps improved human and intel relationships emotional celebration of each other. 

1951 was both the year I was born and the year The Economist seconded my father (Norman) had survived spending his last day as teen navigating airplanes allied bomber command Burma giving him google maps of coastlines in his head 50 years before any other mediator) to New York Princeton where Von Neumann's brain was multiplying probably the greatest wonders one brain with no more than a slideruler has ever visioned in a 7 year period ( HAI hopes to see much "moore" good interacted) 

What had happened 1945-1951 was the the first 7 year action learning curve of Uniting Nations; and the last when TEN could all be interviewed - t DIED IN 54, e DIED IN 55, n DIED IN 57.

. In terms of multiplying human intelligence this grunded extraordinary ops for brainworking if you wanted to web  NYP North to Boston MIT via eg IBM and yale; 

or NYP south by sw to nulear disarmament and space (or so the MAI (male AI) cooperation network of Turing Eiintein Neumann desperately sought to be their legacy). Recall 1945-1865: The first 80 years of spinning every more communiactiosn across the world had Switzerland ITU as its epicentre - a place where people tried to stay neutral to 2 (or today 3)  world wars rooted in N-S land-locked nations above the old world's landbridge to 3 continents made more comlex when it was both canalled and found to be the wests treasure map to oil. Itwas therefore hugely important that UNP trianguarised its 2 coastal human co-creatity corridors with its digital twin (the ITU was co-branded tech for good UN out of the  old league of nations Switzerland had also mediated with exciting neibors like the Red Cross which made Geneva the UN headquarters of Who's Health Who).

There in Princeton 1951 Von Neuman asked father whether the vision of economists and Neumann's peers including Einstein and Turing was congruent. The editor Geoffrey Crowther who had just completed the cenetanry autobiography of The Economist 1943-1843 said yes provided that we continue to search the 2 questions that united founder of Economist james Wilson and Queen Victoria

How do humans generate life times and demand quality of leadership so that we are relentlessly mapping how to end poverty and end hunger

If you have got this far I would hope that you have more questions than answers. I am happy to try and respknd to any question worth of your and my time. Or have a look around this blog - we try and explore life's lessons of both some of the greats of maths and of the greatest of communally serving each other.

 Foot 1:I have sent a large part of my life on mapping media consequences through behavioral surveys of both subconscious and concsious human energies. Grounded theory is a conveneiently simpy way to contextually focusd deeper and deeper conversational understand. I would recommend any 5th grade teacher knows how to do it. Beware its as least as simple as anthing else we educate pre-teens on but it will unleash a curiosity which is opposite to that of wanting to being examined on 100% correct theories. 


F2 Being born 1951 in London was a strange time to get ed in maths. At school our greatest ABT (analytic brain tool) was a slide ruler; I first met a computer during my gap year at Miniistry of Transport (my job carring binary decs cards to government's mainframe at the central electricity generating board ; while i did a bit of fortan at university, the electric calculatr was our main abt; then my first job 1973 let us loose on dec pdp mini comps at the national development project of computer assisted learning - there we developed conversational stats learning across 2000 students at 4 univerities asyncronously - we were visited by american at plat and told were ding the opposite of expert systems - i thought this was good but we soon got defunded by bureaucrats and i left to see if computers could assist with national opinion polling ...)

Saturday, December 17, 2022

 For reasons of budget, we are not currently continuing the following teachfors - however their content remains at the linkein boookmarks