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

Tuesday, May 16, 2023

AI Serial Giant Leapers

Stanford President Tessier + 2 Directors appointed to lead Stanford HAI Fei-Fei Li and John Etchemendy

Reid Hoffman panel moderator of Demis Hassibis Jeff Dean Chris Manning Alison Gopnik

Michael Frank Percy Liang   Serya Ganguli

Bill Gates with Amy Jin and Stephani Tena-Meza - full speakers  -full planning committee


 Lead Peers of Von Neumann had all gone by his death in  1957 but they had left behind at least 3 innovations streams in one: hardware, coiding or software, how would human brains behaviors change the more time spent in digital world-one reminder of slow slow quick quick slow is schools- i was in last gen to use slide rulers; when i git to high school my pride & joy a pocket calculator; whilst i saw people pumnching cards to program mainframes at university in europe at least online terminals linking mini computer arrived circa 1971; and for much longer than that those who did ai were programing in heuristics from experts; this isn't what breakthrough AI has done since 2006 when eg fei-fei li started training a computer's vision analogously to a baby's brain- it took one heck of a lot of computing power to do this; and although the mobile web2 era eclipsted invenet in deep ai fir 7 or more yeras its HAI at Stanford 2019 that I'd suggest as dual benchmark for magic leaps beyond human brainpower alone and desire to maintain AI as tool to augment what humans do best

upd  NAIRR OCT 2021

This month, researchers affiliated with the Stanford Institute for Human-Centered Artificial Intelligence released a blueprint for how to build a National AI Research Resource (NAIRR), a system that would allow the broader AI academic research community to access the expensive computing and data resources to conduct fundamental and non-commercial AI research. The report, a culmination of a multidisciplinary two-quarter practicum offered at Stanford Law School and based on dozens of interviews with leading computer scientists, government officials, and policy experts, outlines the necessary steps to create this resource

Monday, May 8, 2023

Timeline of Intel and Economics

 This is what our diaries have recorded - we welcome additional diary inputs

ED: 1951 was when Economist Journalists first met Von Neumann in Princeton and decided that  the intended mediation futures of The Economist founded 1843 (to assist Queen Victoria in redesigning Empire maps towards Commonwealth goals of ending poverty and ending hunger through designing above zero-sum trade) and alumni of Princeton's maths TEN (Turing Einstein Neumann) were humanly, as well as logically, convergent.

 Von Neumann et al used the term artificial machines (probably coined historically by Babbage!)- Neumann's last work  (written during his last 18 months ) is book "The Computer and the Brain". This is fundamental to deep discussion of Human and Inhuman Artificial Intel!. Recent media frenzy demanding 6 months halt to AI seems to be as unreasonable as demanding a halt to economics  -at least from perspective of 73 year learning curve

Titles of last parts of Neumann book on Computer & Brain are: Digital and Analogue parts in the Nervous System; Role of Genetic mechanism

Codes & Their Role in the functioning of a machine: complete code, short code

Full contents

As early as 1945 Von Neumann had told his wife - my supermaths generation's work on energy is going to make scientists both the most hated and wanted of people; one day the exponential consequences of artificial machines will be even more climactic to our species future. We hypothesise the exponential systems mapping intel around Ten alumni is where to find foundations of today's crisis of opportunity and threat in HAI "double loop". Von Neumann asked Economist journalists to continuously interview (brand charter) leaders- what goods will peoples unite wherever they are privileged to first access at least 100 tines more tech per decade? The first of  The Economist's decade-long learning curves concluded 1961 (see right) 1961 reveals  5 geonomic place labs exploring 100 times mo(o)re tech from now until computer memories exceed humans capacity: Swiss corridors where coms worldwide sectors began at ITU 1865 and since 1945 UN's digital tech twin; the two UNDPrincetion corridors N to Boston via eg IBM and Yale; South by S.West via DC to Houston soecialising in energy/nuclear and space. West Coast :Francis-Clare corridor with Stanford as its epicentre. Japan south coastal belt which by 1961 had linkedin Korea S and emerging Taiwan (as Chinese minds first lab in entrepreneurial freedom) since Brit's 1860 opium wars had closed down China's trading relationships. President Kennedy approved this 5-intel-space map 1962. 

Please note the actual twinning of AI Labs (MIT and Stanford) was advanced by McCarthy 1960 on. Chatgpt credits Macarthy with coining the term AI but adds this :   John McCarthy, who was one of the pioneers of artificial intelligence (AI), did refer to John von Neumann's book "The Computer and the Brain" in his own work.

In fact, McCarthy cited von Neumann's book as a key influence on his own thinking about AI and the relationship between computers and the human brain. In particular, McCarthy was interested in von Neumann's ideas about the similarities between the processing capabilities of the brain and those of a digital computer.

McCarthy also drew on von Neumann's work in his development of the programming language LISP, which is still widely used in AI research and programming today. LISP was designed to be a flexible and powerful language that could support the creation of complex algorithms and simulations, and it remains an important tool for researchers working in fields such as natural language processing and robotics.

Sunday, May 7, 2023

Depending how you analyse Reuter's data on good and large economy countries to be mediated by Japan comes close to top and USA bottom with peculiar twist that at its top Eurocrat bureaucracy is even more ivory tower than even US.s moonshine extractors

At EconomistJapan.com we have started to ask BARD and others how to maximise ai demos at Osaka Expo - this is an ideal time to search ahead, connect Japan's UN investments in AI, and identity long-run leverage eg from bringing data science to the world stage of 2019 G7- Agenda Osaka Track. There are many "broken systew" challenges to millennials life and times  eg climate where its absolutely essential youth can bridge asian and western transformational creativity - please say if you have ideas on celebrating this . 


Also fresh off press our 73rd annual review of what von neumann might expect Good Ai worldwide to be advancing now - particularly the view that Human AI maps how well places are spending peoples time in ways unseeable before but which may now explain whether ai good leaps way ahead of harmful ai.

help catalogue where ai did good in mitagating covid rsvp chris.macrae@yahoo.co.uk

-eg was thailand's singlestore and true digital one benchmark

was valencia's xprize (itu) winner aworld class mapping model  https://ellisalicante.org/xprize_valencia

Human Intel' greatest twin leapmakers? youtube case 1 Stanford HAI FFL and DL Demis Hassibis

 Youtube latest of HAI's Fei-Fei Li & DL's Demis Hassibis (some datings are approx)

4/23 Fei-Fei Li & Demis Hassabis: Using AI to Accelerate Scientific Discovery
3/23 HAI Transforming safety FFL * Hoffman

-/17 Collection - Neural Networks Visual Recognition 2mn views
-/15 How we teach computers to understand pictures |

3/23 AI vs. Human: "Everything the brain does is computable" — DeepMind CEO
10/22 DeepMind's Demis Hassabis on the future of AI | The TED Interview
6/22Demis Hassabis: DeepMind - AI, Superintelligence & the Future of Humanity | Lex Fridman Podcast #299
There’s Only Two Subjects Worth Studying | Demis Hassabis | Google Zeitgeist

Other vision spaces - coming soon:

Saturday, May 6, 2023

 FEC (Female Economics Community ) mapping is my favorite maths, According to the  world bank nearly 1.2 bn people ended extreme poverty (defined as living on less than $1.9 per day) between 1990 and 2015 . This intel integrates - dare we smithian say - the greatest human (development) economics miracle ever. Yet learning about this has been made complex. Although data shows that over 60% happened  in China, for reasons most western media obfuscates - learning how this happened has got ever more difficult since the SDGs were launched. It turns out there is a second way to understand most of the solutions which Steve Jobs and Fazle Abed discussed in 2001 brainstorming dinner. We call this FEC-  Feminine Economic Communities - as after 16 trips to Bangladesh Abed approved our goal of cataloguing top 30  women empowerment solutions as lond as we clarified that wherever we use term MOOC - C= cooperation http://abedmooc.com You can search who else celebrates understanding these women empowerment knowhow solutions- when Abed died 2019 there is no secret this included Guterres Jim Kin Abdut Latif Jpal network, the quadir family, reeta roy and mastercard foundation, Sheika Moza, Charles Yidan. Melinda Gates, various Japan networks, Jack Ma, George Soros, Schwab leader of WEF - probably many more -if you have bookmark refs : please tell us -chris.macrae@yahoo.co.uk EconomistDiary.com 

ed3 web3 language 3 - last call to unite 8 billion humans with language

 first we coded personal computer networks -sadly this drowned in commerce/spam - all we needed was to identify open learning webs from every pscyho abuse used to seel things and lie about peoples who more dic=verse than your core group

then we coded mobile devices eg telephone and camera with computer brains inside- problem here was that behavior of humans and mother earth at every gps was now a commercial secret not a social commons

BARD.SOLAR bids thee welcome --- now we have the war between the languages ai uses- pick one and be sure you know which side to =ou are mediating - 

i welcome Q&A on this document - eg whats app chris macrae +1 240 316 8157 or linkedin UNwomens
Year 73 of merging maps &  maths of economics and Neumann AI

do you want to join older half of the world pied pipering to extinction or is there yet a species liberating way at every gps to do far smarter work with human centred ai and billions of hours of new doctoral research alphafold has gifted us on 200000 proteins the keys to how nature plays out chaotic maths at levels previously unseen to man's top down science

additional bard.solar library may 2023
ClaretoFrancis Dialogues may z
Library of ai saves world
June's library expected to start new library now that london and san francisco have twinned google deep brains

Metaverse for good also leapt forward in May for 30 minutes at the UN 

please look at this please look at this ,,I want to see this come to a few schools in Bronx/Brooklyn/Quuens so that they can also invite un visitors to see metaverse for good. Any ideas or questions?

Friday, May 5, 2023

 Hello Family & friends  have a search problem - main subject of this post below 

first some updates on AI Architect Intelligence (solutions to sustainability most coooerative crises?) from 73 years of chatter which began with Von Neumann 1951 and his peer NET - Neumann Einstein Turing diarised in a thousand interviews (and about 30 surveys each based on a month of worldwide interviews and reporting - eg Entrepreneurial Revolution 1976; Consider Japan 1962;  Silicon Valley 1982 (1 week nictoreport) in The Economist 1951-1989 which since dad's death and with 16 mentoring sessions by fazle abed and japanese and 1billiongirls.coms/girlsworldbank.com- bard.solar Neumann,ning friends and I now try to update at eg http://povertymuseums.blogspot.com Economistdiary.com linkedin unwomens these twitter subscription lists

here's the problem - i wanted to give bard every chance of a detailed answer in spite of my ignorance - if you find a shorter question please tell me chris.macrae@yahoo.co.uk

i have a search problem - i believe i know where to start with ai for eg science breakthrough- billion hours saved of phd times by Hassabis; protein dayabase - all biotech and human consequences chnaged by alphafold2;  generally where deep ai changed from 2006 with fei-fei li (now hundreds of people around her at Stanford HAI) training recognition and even training whotehouse on future of education  https://www2.ed.gov/documents/ai-report/ai-report.pdf  ; I also understand a little about where people are putting  youth's most exciting sdg stories on metaverse but I really dont understand who changed bots from selling to the gpt or llm - so i hope you may find this q&A with bard relevant - more at www.economistlearning.com - if you have time for a ny coffee before october please chose one  Q to Bard  if i want to understand who imagenet began witg I see that talking to someone whos tracked fei fei li helps; if I wanted to understand deep learning i see that talking to an alumni of hassabis helps; what I dont understand is if I want to undestand roughly how llm or gpt evolved who are the first team members (or the first articles they wrote in non jargon but for mass human readers) that I should try and track? I ask because I undestand how bots were designed to sell people stuff- but is design of bots to help humans choose what they need to learn a very different design challenge even if the bot tech is common; if there was a better question to ask to understand where llm or gpt first became educational please feel free to answer that

View other drafts

Sure, here are a few people you could talk to to understand the evolution of LLMs and GPTs:

Ilya Sutskever: Sutskever is a co-founder of OpenAI and one of the leading researchers in the field of deep learning. He is the author of several papers on LLMs and GPTs, including the paper that introduced the GPT-2 model.

Oriol Vinyals: Vinyals is a research scientist at Google AI. He is the author of several papers on LLMs and GPTs, including the paper that introduced the GPT-3 model.

Quoc Le: Le is a research scientist at Google AI. He is the author of several papers on LLMs and GPTs, including the paper that introduced the GPT-4 model.

You could also read the following articles to learn more about the evolution of LLMs and GPTs:

A Neural Conversational Model by Ilya Sutskever, Oriol Vinyals, and Quoc Le (2015)

Attention Is All You Need by Vaswani et al. (2017)

GPT-3: OpenAI's Generative Pre-trained Transformer by Brown et al. (2020)

GPT-4: Language Models are Few-Shot Learners by Brown et al. (2022)

As for your question about whether the design of bots to help humans choose what they need to learn is a very different design challenge, I would say that it is. Bots that are designed to sell people stuff are typically designed to be persuasive and to make people feel good about buying the product. Bots that are designed to help humans choose what they need to learn, on the other hand, are typically designed to be informative and to help people learn in a way that is efficient and effective.

The design of bots to help humans choose what they need to learn is a relatively new field, and there is still a lot of research that needs to be done. However, I believe that this is a very important field, and I am excited to see how it develops in the years to come.

Epoch Changing Q: can Human AIntel share maps with Chicago's top 10 market shaping compasses -climate, covid ...

 ED: 5/4/23 Chicago Economics & IMF DC 

Full Youtube replay

6:00 pm - 6:05 pm Paolo Mauro, Deputy Director, Fiscal Affairs Department, International Monetary Fund; 6.05 to 8pm                                          
Rachel Glennerstervid1  U Chicago; former Chief Eco UK FCDO/DFID  CEO Abdul Latif J-PAL    Michael Kremer,  vid 1 U Chicago Director Dev Innovation Lab 2019 Nobel Laureate    patent crisis              

Susan Athey, EconTech Professor Stanford GSB; Stanford HAI, CEC Antitrust US DOJ             

Jean Tirole,   vid   Chair Foundation JJ Laffont-Toulouse Economics (TSE) & IAST 2014 Nobel   

Christopher Snyder, Joel Z. & Susan Hyatt Prof Economics, Dartmouth College (Moderator)

Catherine Bremner, Former Director of Intl Climate & Energy in the Department BEI UK //  Jane Flegal, Climate at Stripe; Former Director Industrial Emissions, White House Office  Domestic Climate Policy // Justina Gallegos, Climate Finance & Industrial Strategy, White House National Economic Council // Matthew Hepburn, Senior Advisor at the Office of Science & Technology Policy, lead implementation  American Pandemic Preparedness Plan // Rachel Glennerster, University of Chicago (Moderator)

Event Youtube - Becker Friedman - web -1 - Market accelerator BF Twitter

Wednesday, May 3, 2023

HUMAN-centred Artificial Intel - Stanford HAI 2016-23 -concept 16; launch 19; upd 23

Updates at HAI conversations  (ED compare UN Digital Cooperation SDGs  AIfrGood-016-23) N

 Launch of Stanford HAI  -Symposium 2019

We are at a pivotal moment in tech and history the emergence of ai has potential to radically change how we live our lives Stanford President Tessier; this tech has the potential to bring us closer to our shared dream of creating a better future for all of humanity; it will  also bring opportunities and challenges which we can not yet foresee Fei-Fei Li

Associate Directors

Russ Altman, the Kenneth Fong Professor and professor of bioengineering, genetics, medicine and biomedical data science; Susan Athey, the Economics of Technology Professor at the Graduate School of Business; Surya Ganguli, assistant professor of applied physics; James Landay, the Anand Rajaraman and Venky Harinarayan Professor and professor of computer science; Christopher Manning, the Thomas M. Siebel Professor in Machine Learning and professor of linguistics and computer science: and Robert Reich, the Marc and Laura Andreessen Faculty Co-Director of the Center on Philanthropy and Civil Society and professor of political science.

Now is our opportunity to shape that future, I am proud to introduce Stanford Human Centered AI President Tessier. At Stanford HAI our vision for the future is led by our commitment to promoting human centered a tech and applications; in order to train AI to benefit humanity, the creators of AI need to represent humanity. 

This requires a true diversity of thoughts across gender, age, ethnicity and cultural backgrounds as well as a diverse representation from different disciplines from engineering, robotics, statistics, to philosophy, economics, anthropology and many more FFL; the institute will harness Stanford’s collaborative and interdisciplinary sprit  ; across the university we aim to spark discovery by focusing diverse ways of discovery on common problems President T; I would like to see Stanford HAI be viewed as the natural hub for discussions about policy, best practices in AI, where the tech is going John Etchemendy; Stanford HAI is based on 3 principles: 1 a bet that the future of AI tech is going to be inspired by our understanding of human intelligence; the second is the technology has to be guided by our understanding of how it is impacting humans and society; and third AI applications should be designed to that they can enhance and augment what humans can do. Ai tech properly deployed can improve the quality of life of every individual on the planet whether we are talking about poverty disease, climate change even ageing. Susan Athey : AI has the potential to transform society at every level from individual decision-making and education to workers in the workplace making better decisions guided by AI. Being better trained and prepared as they grow in their careers to corporations being abled to use data more effectively to make better products and services; Prof Altman Altman  One of the great things about AI in medicine is we should be able to use both to identify disparities in healthcare and also rase the standard of healthcare for everybody; James landau: I like to think about it as intelligence augmentation rather than simply artificial intelligence so how can we use AI to make a writer be a belter writer or an artist be a more creative artist or make a teacher be a more empathetic and understanding teacher; Surya Ganguli: Our goal is to harness the design principles governing the human brain to build much more intelligent robust and energy efficient machines; Rob Reich in order to get AI thar delivers all of the benefits that so many people believe it can bring to humanity, it has to be developed in tandem with people who study the society and humanities so that it can he harnessed to serve the interests of humans rather than deployed to undermine them. Anyone who is developing artificial intelligence whether in the laboratory or applying it within industry ahs to put ethical questions at the forefront of their very work. Linda Schierbinger:Technology shapes society and society shapes technology; its very important that we get that feedback loop right. As the first generation to bring AI to the world at scale, we have a personal responsibility and opportunity to work together ad to guide this tech towards a better future for humanity

Flashback 1951: At Princeton Von Neumann had quite a lot on his plate during the year The Economist of Lomdon seconded my father to NYPrinceton..Intel world's Brother John had just over 5 years while cancer from nuclear experimentation invaded his body to start up 3 intel curricula by and for the future of generations everywhere:

hardware of computing

software coding

brain science -

This was in addition to his previous research- his diares show that during the war and nuclear research he kept writing I am getting fascinated by coding and computing and the days when I will be free to study this and share with everyone (coding was as top secret as nuclear during the war)

 if the coming of age of 21st C intel was to make the most of humans and tech in every way that the 20th C coming of age since 1855 of worldwide coms standards had failed to do (assuming you se 2 world wars as failiure)

Von Neumann surprised  my father by asking if The Economist could help with a challenge Johnny was highly concerned with - open sourcing every imagination generation opportunity that the Goats of maths John Albert et Al had crossed the atlantic with- John was terrified that this future of intelligence would get buried in the same sort of academic silos that had worried Adam Smith at the start of the engineering age or in the muzzling of freedom of speech which was necessity at time of world war but which sustainability of government must end forthwith. 

In 1951 The  Editor of the Economist had just finished publishing the centenary autobiography of The Economsist 1843-1943. Tried as journalists in English might,  the mediation alumni of James Wilson and Queen Victoria's transformation of commonwealth had not worked out peacefully. The relay needed to be turned over to UNP-GITU -ie the United Nations of Princeton's 2 decade of hosting refugee matjhematicians who'd transferred from Geneva's hub of the ITU and co-located League of Nations. And that was just the transatlanic challenge posed by uniting a at most a quarter of the future of human kind; with another 60% as asians and 15% who might from the south or the poles or the 2 canal regions where atlantic and pacific world trades criss-cross.

Geoffrey Crowther Economist editor 1951, said game on - all the time wondering if the future of Economists would pay attention to the last chapter of Keynes general theory - where keynes says his greatest fear for the world is whose economic scribbling takes over all futures design. In the 12 months of 1970-1971 Crowther's worst fears were provoked by Friedmans publication that social responsibility needed to be reduced to one number and Nixon taking the dollar off the gold standard. 

Concerning millennails sustainability goals, looking back from the future of the 2020s, it  seems clear  that at minimum the fast changing maos of human augmented intelligence needed a once in decade pedia of updating the decades opening quests and closing needs for error correctios 2021; 2011 2001 1991 1981 1971 1961 1951 .. 

or we could compile decennial diaries forward from 1861 (the opium wars had shown asian's no longer to look west to the pound as a currency but to hope their east the dollar would value everyone's 5 cent worth. However if worldwide telegraphs had existed in 1851 (instead of itu's 1865) Asians would have needed to ask what is the south north relationship inside the usa -   https://history.state.gov/milestones/1830-1860/texas-annexation - the american history of slavery had started to be compounded by the american history of Latino relationships.

Please note back in the 1850s even if places like france were nearly three quarters of a century into their entrepreneurial revolution of republics replacing kingdoms, the trust is communications still relied on men with guns on horseback - and shooting the messenger was still a common practice of elites.  Do what progress in communications and shared intelligence from every gps on mother earth are we mapping in this most extraordinary decade of human responsibilities? EconomistDiary.com worldwide correspondent help needed be it human or cgpt or ai.gov or naixus or UN tech aiforgood enabled chris.macrae@yahoo.co.uk

Tuesday, May 2, 2023

latest updates 5/4 - how did imagenet alumni (around Fei-Fei Li) change world from 2006 onwards

 we welcome corrections -our current understanding

in 2006 out of stanford fei-fei li became the most connected & cooperative alumni of imagenet research

from 2010-2017 Imagenet Large Scale challenges were held

typically the organisers were :  Prof. Li Fei-Fei, PI, Stanford University Prof. Jia Deng, Princeton University Prof. Olga Russakovsky, Princeton University Prof. Alex Berg, UNC Chapel Hill, Facebook, Shopagon Prof. Kai Li, Princeton University

typically 5 winners were announced annually-when pressed chatgpt says all winners were important but 3 to understand conequences of first may be:

  1. ResNet (2015): As you mentioned, ResNet is significant because of its connection to AlphaFold, which has revolutionized the field of protein folding prediction. ResNet's deep neural network architecture with skip connections enabled the training of extremely deep models, which has been instrumental in many other deep learning applications beyond image recognition.

  2. AlexNet (2012): AlexNet was the first deep convolutional neural network to win the ImageNet competition, and its success helped establish deep learning as a dominant approach in AI. Its architecture consisted of multiple layers of convolutional and pooling layers, followed by fully connected layers. AlexNet's breakthrough performance in image classification demonstrated the potential of deep learning for solving complex tasks.

  3. VGG (2014): VGG is another deep convolutional neural network architecture that achieved top performance in the ImageNet competition. Its architecture is simpler than AlexNet, with multiple 3x3 convolutional layers stacked on top of each other. VGG's success demonstrated that increasing the depth of neural networks can improve performance, paving the way for ResNet and other deep neural network architectures.

These three winners have all made significant contributions to the advancement of AI and have influenced the development of subsequent deep learning models.

x 2017 saw the last competition in the series and this FFL presentation 
  • L. Fei-Fei and J. Deng. ImageNet: Where have we been? Where are we going?CVPR Beyond ImageNet Large Scale Visual Recognition Challenge workshop, 2017pdf

use mobile, miss chatgpt gems

 asked by 5th grade teachers to compare special powers, CGPT: I'm like a language teacher  trained by reading books from libraries world over. Whereas DeepMind trained to be greatest jigsaw puzzler world will ever meet 

QC computing power now enables either of these AI models to train overnight what could take a human mind millions of years to study- but NB  in 1940s Turing-Einstein-Neumann at Princeton asked birth of UN to vision how education prepped future youth especially millennials for this - brainworkers cooperation livelihoods of C21 needed Systemic Entrepeneurial Revolution - kind of organisational change discussed xmas day 1976 Economist Future of Capitalism. See today's UN ranking egov : where have adults and public servants celebrated pretraining millennials to be world class 21stC citizens 

(april 2023 washington DC admits to being 1 year old in ai pretraining every American - see ai.gov

if you are only inclined to give AI one chance on humanising AI I'd pick fei-fei Li short article at https://hai.stanford.edu/sites/default/files/2023-03/Generative_AI_HAI_Perspectives.pdf rsvp chris.macrae@ysahoo.co.uk if you have a different pick of a lifetime