MONTH OF 3 GREATEST AI SUMMITS EVER

ED: Hello all selection errors mine alone chris.macrae@yahoo.co.uk Wash GC- i have tried to share brillaint and kind brain connecxtions - bon courage as humanity's 5 years to 2030 choose whether we are nature's smartest  race or her next dodo!

From 1951 Von Neumann & The Economist merged their ideas on intelligence interviewing of biggest decision makers.

 Journmalistically Neumann's huge contribution was to time pretty accurately 3 rising intelligence waves : million times more compute eg Moores Law- multiplying million times more death of duistance in satelkllite transmission of data/intekigence bverween evert gps; billion times more mapping of society's and narure's deepesst data gravities. In our 1984 report- we guessed the world's most inetlligennt darata reconcilations would be proposed by a taiwanese entrepreneur and a swedish postmaster. I guess we were three quarter au point. see 2025 report chapter 6

 Jensen Huang Friends of Nvidia's rise since 1993  and partnerships are so far advanced in 20 dimensions of humanity and data analysis that usually one summit (eg Spring GTU near santa ckar hq or summer taiwan computex) is a greatest update but 3 in a month is a fantastic treat - oh lucky DC, Mumbai, Tokyo . Fortunatlely most are onm dmmand. I have been trying to find a way to cahat bout this - partly to celebratte 43rd year of 2025 reporting. I think a relaible approach goes backk to asking whos mapping what sata 

here is a rehearsal with gemini- plese note this is a living document - this versuoion mid october 2024

Yes, Earth-2 is a unique space due to its proximity to deep data partnerships and its focus on understanding our planet and its climate.

Here's why:

1. Deep Data Partnerships: As a project developed by NVIDIA, Earth-2 has access to a vast array of data and computational resources. This includes data from satellites, weather stations, climate models, and other sources, which can be used to create a highly accurate and detailed simulation of Earth.
2. AI and Machine Learning: Earth-2 leverages advanced AI and machine learning techniques to analyze and interpret the massive amounts of data used in the simulation. This allows for complex modeling and prediction capabilities.
3. Climate Focus: Earth-2 is specifically designed to study and understand climate change. This makes it a valuable resource for researchers and policymakers who are working to address the challenges posed by climate change.

In summary, Earth-2's unique combination of deep data partnerships, AI capabilities, and focus on climate science make it a valuable tool for understanding and addressing global environmental challenges.

============================================

deep data - grounded in reality of community - expert or human (eg family loving women of bangladeshz):

Can you remind me who started the proyein folding data competition whiich Hassabis deep mind eventually won with alphafold?

 This biennial competition was founded in 1994 by John Moult, a computational biologist at the University of Maryland.

Are there other famous data competitions as far as AI is concerned in addition to CASP and Fei0Fei Li's imagenet? If so are any in the top league the way casp and imagenet seem to be?

Yes, there are several other famous data competitions in AI, in addition to CASP and ImageNet. Here are a few of the most notable ones:

Image Classification:

• CIFAR-10 and CIFAR-100: These are smaller datasets compared to ImageNet, but they are widely used for benchmarking image classification algorithms.
• Places365: A dataset of 365 scene categories, used for scene recognition and localization.

Natural Language Processing:

• GLUE (General Language Understanding Evaluation): A benchmark for evaluating the performance of natural language understanding systems on a variety of tasks, such as question answering, text classification, and sentiment analysis.
• SQuAD (Stanford Question Answering Dataset): A dataset for machine reading comprehension, where the goal is to answer questions based on a given passage of text.
• WMT (Workshop on Machine Translation): A workshop that includes a machine translation competition, where participants compete to build the best machine translation systems.

Speech Recognition:

• LibriSpeech: A large-scale speech recognition dataset, used for training and evaluating automatic speech recognition systems.
• TIMIT (Texas Instruments-MIT Spoken Sentence Corpus): A smaller dataset of phonetically balanced American English sentences, used for speech recognition research.

Other:

• Kaggle Competitions: Kaggle, a platform for data science and machine learning, hosts numerous competitions on a variety of topics, including image classification, natural language processing, and time series analysis.
• Netflix Prize: A famous competition that was held in 2006-2009, where participants competed to improve the accuracy of Netflix's movie recommendation algorithm.

These competitions have played a crucial role in driving progress in AI research and development. They provide a common benchmark for researchers to compare their methods and algorithms, and they often lead to significant breakthroughs in AI.

While CASP and ImageNet are undoubtedly among the most influential data competitions, the others listed above are also highly regarded and have made significant contributions to the field of AI.

Imagenet took a long time to set up (both years elapsed time and if one counts identification of 20 millionn images by amazon tutk) many years of haumn time- did casp take long time to set up?

Yes, CASP (Critical Assessment of Structure Prediction) also took a significant amount of time to set up.

While it doesn't involve the massive scale of image identification like ImageNet, CASP has involved:

• Decades of Protein Structure Research: The foundation for CASP lies in decades of research on protein structure prediction methods.
• Collaborative Efforts: The CASP initiative itself has been a collaborative effort involving researchers from around the world, coordinating experiments and evaluations.
• Data Collection and Preparation: Preparing the protein structures and associated data for CASP experiments requires significant time and computational resources.

While the exact timeline might vary depending on specific CASP iterations, it's safe to say that the setup and execution of CASP experiments have involved a substantial investment of time and effort from the scientific community.

My first of 16 trips to Bangladesh Xmas 2007- this interview was a great gift- it helped friends see the deepest entreprenurial revolutio9n of going mobile; 2 years later in stanford the idea of mobile data clouds encouraged at least 4 people togo all in with AI Revlution namely Jensen Huang - he would build compouters capable of million time more com0puting power; fei-fei li- she would run global cometitions until big data analysis showed machines could selarnb to see and speak about the 2000 objects huamns mos use; demis hassabus would start designing natirual science mpodels to that computational analysis could leap forward to where Einstein's throy got to in 1905! Andrew NG was already the coder people at stanford trusted most and starting up cousrera/moocs

.Note far the most sustaiably inteligence network maps round bottom of pyramid poorest asian vilager women- 1 billon girls who have also pulled up males lives in their communities. This m0ovement waslinked together from the earl;y 1970s : the common needs were end starvation, and in the humid tropics end infant deaths by diarrhea. It shopuldnt be surprising that the solutions needed were boderless across vilage tropics (wherever electricity griuds had not reached). Today the purest models of thios sort connect with Bangla2/0 a governace model Muhammad Yunus has been asked to map since august 2024- the vast majority of nations could gauin from connecting with this model The goal 2 food intelligence of this model starts with Borlaug. From idaho his lab was in mexico and his first target crop for up to 10 times small farmer produvtivity was wheat. If you go to the food prize you will see how what bprlaug started became worldwiode intelligence for every staple crop. For Asia ricer was most important- by late 1960s Japan Korea S Taiwan were procuing 10 times more rice per small farmer than historically had been seen. Mainly US foundatiosn started IRRI out of Phillipines and a twin intel hub out of taiwan. It apears to uis that Taiwan was where most of the billion girl movemnt rooted intel to achieve goall 2 end starvation. Countries were partocularly sucessful wherer microfranchise busienss models however small were designed not chjarity in generating this miraculous advance. We are not very keen on term microfionace. It was primarily sharing inmtel (ie education) that empowered vilage mothers to microifrancise small for profit businesses be they in  meeting last mile food needs or inmcirculating the most basic health solutions. Up until 1990s viulafers communicated by word of mouth or print of book having no electricity andf no communications machines. From late 1990s partners brough both mobile and solar (charging mobiles) so unique l;eapfrog models could be stidudied in communities that never had aces to grids (electricity, telecopm or other). Again Bangladesh led by 2 wizards Fazle Abed and Muhammad Yunus became a place to benchmark. This is also why anyone serously involved with UN goals would in fall 2024 track ways of helping Bangladesh map gov2.0 . This had been an exercise that THE UN had launched as UN2.0 in 2016 but where erors have been made so that articfiacial intel and un2.0 are not yet synchroniised. Again this is a a reason why the low tech next goverance model of Bangladesh is relevant as of course are hi-tech deep lerning models of wizards such as Jense Huang

2025reoort.com join our 75th year of debating with ada whether the inteligence machines of the NET Neumann Einstein Turing would advance or destroy humanity. Von Neumann set the 75 year timeline- he ssxaw these machines as connecting every human being's potential with nature and each other. Indeed since Einstein's publication in 1905, maths shows taht newton's science was wrong when humans start scaling stuff at nature's scale. Her system designs map bottom up and without the sorts of bodrers the era of Empires found it conveneint to administer. In other words, to the NET many of humanity's biggest rishks would cokpound at borders be these geographical or where one [profession ends its responmsibility assumingt another will take over, Banking  insurance law and other professions when adminsitered in silos cannot compound solutions to what are the goals we would wish to support at least any child (it being unclear at what age individual responsibility takes over from society), But most places systems imply this is somewehere between 13 and 18.  We can list some people alive and dead which we feel intelligence is beter if you are aware of their dicoveries. We can map some places eg Singapore and Taiwan where people sem to have advabnced by win-winning with rest of the world. Although the UN sdgs are not our favorite we will classify some intyel solutions by goals. The EN currently clarifies most goals are collap[sing. Perhaps V Neumann will alow us 3 y intelligence isnt aligned to sdgs out of more and more com,mmunities then it is mathematically unlikely our spocies wil see a 22nd century. We welcome serious correpondence . One problem is we have not folowed v neumans advice. Expect 3 tranbfromational waves: computation eg moores law brough million times more computation capactiy 1965-1995 Data or inte transmission between everywjere on earth - eg satllite telceoms mobilsed such data cloiuds sooon after 2010 Analysis as earth's depth needs compiuters designed to analyse interactions at earths scale. Weather is juist one exzmple. Thanks to this who folowe Jensen Huanmg since 1993 such deep learning computers exist. See 8000 partial inventions partners of huang talk about as well as his annual reviews since 2015.

Partners sought for final edition of 2025 report

U Guterres, Antonio leads United Nations to 2027. Engineer & Servant Leader: from 17 years Portuguese Red Cross & UN Refugees;PortugalPM

V Huang, Jensen builds the machines most big AI analysis partners use - see 7000 cases; in last 5 years Nvidia partners have multiplied more financial and societal value ever.

.X Fei-Fei Li Stanford since 2009: her world championships demonstrated 2012 that computers can (deep) learn to see. She wanted students & teachers to understand Xponential opportunities & risks as early as congress - see her 2018 testimony C-Span

.Y Hassabis Demis, his work pre-trains computers on pattern games so system designs can match Einstein maths 1905; 120 year opportunity to catch up with drug discovery, life & climate science. Origin London & King Charles AI Park Cambridge-merged with google silicon valley

Z King Charles  AI Very Good world series launched 2023 London; leg 2 Korea, Leg 3 Paris , Leg 4 why nt your digital twin sace. Charles first became UN envy fr tech 1964 Tokyo Olympics -as a ten he was fsr to invite Japan's Sony to investing in Europe and first to see Tokyo's chip-led economy. Asia Rising has been deepest commonwealth (Royal Society) responsibility mediated out of London St James since 1843 impacting 2/3 humans who are Asian

Hypothesis there isnt a subject worth peoples time studying or teaching which isnt being changed by engineers & hunan intel. Help footnote list ways AI changing discplines - ask if that changes your discipline

Instructions fpr playing Architect Intelligence Game year 75 started 1951 with NET (Neumann Einstein Turing) and mainly hosted by the Economist years 1 to 40. We'll start by oublishing 100 of 500 intelligences that it would be very good if every student/teacher enjoyed agency  to vision with. The game is hypothesised in 2025 around Kings English Large Language Mapping. 8 billion people win the gae if we help make millennilals first renewable generation everywhere. Welcome debate n alternative layout needed in different mother tongues or depending on  exponential valuetrue crisiscrisis your place most urhently needs to reconcile. Ocasininally a player has such a timely opportunity in 2025 eg Melinda Gates that we have duplicated her entry. We have tried to position players where their intelligene most positively multiplies intel - but this is part of the exploration as many very good players are heling  many of millennials sustainability challenges. Additional resources

www.economistdiary.com  AI20s.com Economistwomen.com  abedmooc.com show our progress. This year we will publish 100 human intelligences to linkin ahead of www.unsummitfuture.com chris.macrae@yahoo.co.uk whatsapp +1 240 316 8157

U Guterres, Antonio Astro  Ron Garan,   World Service TV Attenborough, Golden Yoko Ono ... Brooklyn's Ms T & T Melinda 1 2 Gates 25th year of women empowerment intel: original author of Guterres Digital UN2.0 roadmap from 2017 Sheika Moza, Reeta Roy, Primary servant leader intel impacting billions of people) (Fazle Abed)\ (Borlaug alumni) (James Grant alumni) (Gandhi alumni) Paul Polak Guterres 24 years since ending PM portugal have been as servant leader -red cross, un refugees, whole of UN:johns hopkins (JH made his money with railways gave back as probability amerca's mot entreprenurial Quaker) now extraordinary twin resource  some of Guteeres interests - see focal posts - latest updates 5/22 - Jensen Huang and pixar founder speak at JHK commencement; 5/29  MALARIA RESEARCH RENOWNED GENETICIST AND PARASITOLOGIST JOINS JHU New Bloomberg Distinguished Professor Jane Carlton uses tools of comparative genomics to study the biology and evolution of different species of parasites, with the goal of eradicating malaria (Mandela alunin) , Franciscan cultures: JimYKim Iqbal & Kamil Quadir Abdul Latif/J-pl Bolor Battsengel Mongolia Girls who code & 2022 two-day presentation host wuth UN on digital gov Deming Ackoff Estonia Mongolia Girls Code Case Hewlett, Packard Intel Trio Martha Chen Servant Leader cases Borlaug - extensions through taiwan, and china mainland James Brant Lee Kuan Yew Li Ka Shing CK Prahalad Ezra Vogel Peter Drucker Abdul Kalam Nilekani Sunita Gandhi Keynes Cowthr Harion Owen Ajay Banga Livable Planet AI Jason Oxman & Laurie Allen   Ability Summit 2024: Advancing accessibility with AI ... The Official Microsoft Blog https://blogs.microsoft.com › blog › 2024/03/07 › ability... Mar 7, 2024 — Today we kick off the 14th Microsoft Ability Summit, an annual event to bring together thought leaders to discuss how we accelerate . Rev Al Hathaway- Bloomberg Hopkins Catchafire

V Huang, Jensen 2015 GPUs: A New Computing Model January 12, 2016 by Jensen Huang  Taiwan 2016 (93 T's Nvidia95 T's Yahoo & Windows95 ...)  Europe2016  Israel2017  Japan2018  7000 cases by 2023; ibmplay . in last 5 years Nvidia partners have multiplied most financial and societal value ever.2024  tour startups, in silico life science ; us GTC summit 2024 ,local data sovereignty; 1:1 Ilya Sutskever; Microsoft 23 copilot azure next event Taiwan 2 June 2024 Alex is arguably both  Jensen's and Fei Fei's MVP though only they can validate that  (Ironically Von Neumann's last writings Computer & The Brain 1956 asked digital alumni to apply Neural Nets but 95% of best uses Neumann-Einstein-Turing are not yet popping. That's the good and bad news - we can solve anything with tech until mother earth's climate cancels us!  Alex Krizhevsky is a Ukraine-born Canadian computer scientist most noted for his work on artificial neural networks and deep learning. In 2012, Krizhevsky, Ilya Sutskever and their PhD advisor Geoffrey Hinton, at the University of Toronto,[1] developed a powerful visual-recognition network AlexNet using only two GeForce NVIDIA GPU cards.[2] This revolutionized research in neural networks. Previously neural networks were trained on CPUs. The transition to GPUs opened the way to the development of advanced AI models.[2] AlexNet won the ImageNet challenge in 2012. Krizhevsky and Sutskever sold their startup, DNN Research Inc., to Google, shortly after winning the contest. Krizhevsky left Google in September 2017 after losing interest in the work, to work at the company Dessa in support of new deep-learning techniques.[1] Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers.[3] He is also the main author of the CIFAR-10 and CIFAR-100 datasets.[4][5] 2016 DC co-launch pilots  (via stanford) Bill Daly, Ian Buck (Cuda)  changing coding since 2016  with Pixar USD ; links Bloomberg Johns Hopkins Commencement 2024;   Clara Life Science AI: Siemens Healthineers; genentech; Swiss hospital a world class data centre AI orthopaedics how to collect data and use end to end with nvidia enterprise AI registry and microsoft azure (includes 2d to 3d modeling) -story Early inspiration MassGen: Jensen: we dont get visits from chip company ceos ; if your trip successful we could only buy 2 gpus Chin Lin Taiwan "risk of death"ai AI is now the greatest maths magic ecer seen but this would not exist without digital twinning of Valley And Taiwan Lori & Jensen Huang, Mr & Mrs Jerry Yang, Ms &Mr Clara Wu Tsai, (Nb each of these 5 Taiwan trust netwirks has own deep distinctions; eg tsias connect neuroscience at both yale and stanfird; tehy are probably most connected with youth sports/justice/mental health; they also undersatnd  what jack ma used to linkin between chinese expats (technically mauice of these 5 networks is elder of china , intel and texas instruments Lisa Su, in Taiwan Maurice Chang  1- also Taiwan gives Singapore race as most Intelligent Isle on Planet - see how ministry of youth's Audrey Tang found youth tech wizards to mentor government elders during covid and become minister of innovation; she has recently toured US with book Plurality Chris Miller -author chips war NB Mr & Mrs Yang's  (& Probably Filo family co-founder yahoo)first sponsor of chair at Stanford was "Chair of Chips"  Mark Horowitz; his 20+ years of continuity at stanfird match Condy Rice's 45 yeras (interrupted for 9 years as foreign secretary); this came together with fei0fei li and 8 other engineering professors with Hoover-Stanford launch 2023 of  SETR which twins policymaking AI stanfird-dc started by fei-fei li 2018 congress testimony - see also her book worlds i see and evolution of national NAIRRs (look at King Chares ai word series to map top 20 cooperation nations in national ai transparency. Horowitz is also assicated with ai100 - 100 year futures of AI (5 year updates); nb Stanford annual AIIndex is different. Li & Rice's support of DC now interacr=ts with Raimundo leading chips act and re-emergence f US as chipsd manufacturer. It is difficult to understand whether Economists can keep up with expoential futures - at least 3 people out of Stanford ?hoover AI are rik Jolfsohn (headhunted circ 2021 from MIt as another Chair ofYang familt), setr co-charir with Rice Jhn B Tailor, Stanfird Prof & former fed banker Kevin Warsh 1 Dell  HP  Lenovo Collinson Stripe Can AI help with ALS Deep data snowflake, servcemow,  Adobe Getty Image WPP Understand what Jensen means by get local in owning Data Soverignty - UAE World Gov summit with UAE minister of AIOlama; Mia Motley Barbados Earth-2 Climate AI & Digital Twin Weather  Company CEO Sheri Bachstein & CWA Taiwan Administrator Chia-Ping Cheng ... see lower down how us digital's big 4 amazon, microsoft, google, facebook connect with Jensen Huang;  also lets identify 10 major industry sector leaders in addition to Jensen's 2 long interests : life science, climate science; see also how nvidia tracks over 1600 ai startups worldwide with several friendly vc's eg Mayfield with its India connections TIE Scott Farris jack hidary (host quantum brainstrust   sandbox aqs J

.X Fei-Fei Li 18.1  23.1   24.1  Stanford since 2009: Melinda Gates with Jensen Huang first to fund Prof Li NGO AI4all - whilst these lessons may be 10 years old, should be a topic for every grade  https://ai-4-all.org/resources/ Girl Empowerment. With Melinda's divorce of Foundations, see her 1st bn  funding plan of  10 billion dollars more WIMS (Womens Intelligence Moral Sentiments, Includes 20mn startup awardee: Allyson Felix is one of the most decorated Olympic athletes of all time and an advocate for Black maternal health, pay equity, and pregnancy protections. She is also the founder of the women’s specific footwear company Saysh Imagine if WIMS culture diffused every LLM purpose of AI. Might millennials sci-faction yet see world of educational agency, womens productivity and contribution to life valued as at least that of mens, decreasing wars, increasing green data sovereignty Ajay Banga's livable Planet World Banking Urgently linkin London Deepest Minds & Stanford's Brain Googlers gravitated by  eg Demis Hassabis & King Charles Cheerleading: AND AI's greatest advances (actioned with Jensen Huang partners)  are Life Sciences & Climate Sciences which involve deepest data/leaning ever mapped) 2001 REWIND WEST COAST While 9/11 made 2001 most unsafe ever start to a century, a small ray of light was born on America's Pacific Coast around the same GPS as 1982 Economist's why not Silicon Valley Everywhere (at that time Condy Rice had started mediating Stanford curriculua and Ann Doerr had started to look at where she could support Venture Capatalists (eg her Kleiner Perkins orbit, Sequoia Capital later to originate Nvidia 1993 and Fei-Fei Li chair after 2012's world chang AI chamionshis Imagenet were graced by 2 student Ilya & Alex   seed intergenerational education good Mr & Mrs Steve Jobs celebrated start of 21st C hosting 65th birthday wish party of : Fazle Abed - envoy to how up to 1 billion Asian women had grassroots networked to end poverty without electricity or phones until mobile & solar partnerships at end of 20th c. In spite of launching Mac-apple 1984 as antidote to Orwell, Steve & Valley had little experience of the half of world who didn't see electricity until solar. Mrs Steve Jobs has over millennials quarter of 21st C linked WIMS with most of the Valley's leading female influencers -eg look at who she and Anne Doerr co-chair stanfords first new school in 70 years on climate sciences. These include Japan's Mrs Jett Yang bridging Japanese Taiwanes and American engineers & artists & brain scientists interested in young black womens development of suerstars and, justice (eg Tsai family, Neuroscience Schools Stanford-Yale; Women Sportstars Brookyn, Sandiego; Clara WU Tsai on Stanford board)   This changed culture of Stanford (see eg joy of tech's : Jerry Yang, Andrew Ng, Daphne Koller, joy of law's : Health's Lanhee Chen 1 2   Engineering: Bill Daly all of whom may have scouted out Fei-Fei Li. Her work on computer visioning os 1 most painstaking 2) what was needed fr AI to breakthrough in the 3rd world imagenet championship she hosted annually 2010-2017; LI is most likely to get best out of 3 elders of algorithms Hinton 1; Lecun; Bengio  ultimately every education syllabus un 21st Century is most directly changed -and silos between disciplines - by starting with Li's AI and its innovation of cyber-neuroscience> One of reasons Li's chait sponsored by Sequoia VC who also funded Nvidia as 1993 startup! Two women with prominent impact as ealry as 1982's Economist Survey why not silicon Valley Condy Rice - Stanford Dean concerned with scope of student learning: since 2023 teamed up as leader of Hoover with Li & 10 engineering professors to policy brief governments Mark Horowitz; his 20+ yeras of continuity at stanfird match Condy Rice's 45 yeras (interrupted for 9 years as foreign secretary); this came together with fei0fei li and 8 other engineering professors with Hoover-Stanford launch 2023 of  SETR which twins policymaking AI stanfird-dc started by fei-fei li 2018 congress testimony - see also her book worlds i see and evolution of national NAIRRs (look at King Chares ai word series to map top 20 cooperation nations in national ai transparency. Horowitz is also assicated with ai100 - 100 year futures of AI (5 year updates); nb Stanford annual AIIndex is different. Li & Rice's support of DC now interacr=ts with Raimundo leading chips act and re-emergence f US as chipsd manufacturer. It is difficult to understand whether Economists can keep up with expoential futures - at least 3 people out of Stanford ?hoover AI are rik Jolfsohn (headhunted circ 2021 from MIt as another Chair ofYang familt), setr co-charir with Rice Jhn B Tailor, Stanfird Prof & former fed banker Kevin Warsh 1 Anne Doerr with John Doerr at Kleiner Perkins but with a special interest in education (coursera moocs, khan academy), and since 2022 stanford's first ew school 70 tears on climate - see condy and other choices on advisory board Lila Ibrahim immigrant family Lebanon, engineering graduate Purdue joined Intel (CEO Craig Barrett's team) then Kleiner Perkins Coursera, has now moved to Deep Mind London thus connecting deeepst human advances of Li's Vision training Models and Hassabis Games models (London, Cambridge and snve the valley fro 2014 with google merger)   Hassabis Games which most directly advance nature ai (logics of Einstein 1905 revolution on nature's maths far deeper bottom-up and open that Newtonian hypotheses> His biggest breakthrough Alphafold2 : 250 Million protein databank arguably saving billion hours of human work  Li herself interned chef scientist Goog Cloud 2018 before returning to co-lauch Stanfird HAI Berkeley's Jennifer Doudna Nobel laureate forn CRISPR Gene databank Notable Campus building sponsors: Neuroscience Clara Wu Tsai Fanily (also Taiwanese american) and celebrating heath and social justice of black women including basketball superstars Brooklyn  LI KA Shing HK's Number 1 philanthropist - party of stanford health school Prashant Kukde

.Y Hassabis Demis, pattern games so system designs can match Einstein maths 1905; 120 year opportunity to catch up with drig discovery, life & climate science. At google works closely with Sundar Pichai 1  Jeff Dean Serge Brin Larry Page (all connected /alumni stanford). NB Arguably Demis is being asked to oversee 3 huge revolutions - future of nature ai (proven by eg alpafold2 games), future of google's gemini and LLM translations between mother tongues, other brain modling contexts. On this hypothesis he works closely with each of top 4 at Mountian View who need to keep bth staff and investors trusting that google's do no evil is also safest global ai network. This matches both King Charles Engish LLM and Von Neumann intent tat LLM wud converge every mother tongues data soverignty to Einstein's/nature's deep evolutionaty maths Regarding alphafold2 (250 bn proteins) databank watch Life Sciences AI with all top AI. Also: Pediatrician Priscilla Chan at CZI?meta lntelligence to be youngest. & largest intergenerational phianthropist investing n life science AI.2nd gen Immigrant Vietnam. ---------- other genii- nb please appraise their contributions alongside hypotheisis that google ai partners are do no eveil's safest; nb both google and nvidia are epicentral to valey and hugely linkedin to stanfird alumni; we can hypothesisse traingulatision of nvidia's networks , hassabis & google networks, LI and Stanfird's netwirks integrate aigood and education in deepest ways. Please note you can play game of 100/500 human inteligences by sub-editing your own choices including  founding 5 (coluns)  Elon Musk : space/starlink 5000satellites Tesla Connections with open ai  X - one of a kind revoutionary Bezos - who also competes in satellite space; our one question about Bezos - our communities being hollowed out inecessarily Sam Altman-we dont agree with his timeline for AGI but obviously you need to watch his space 1  maths of NET - wolfram -

Z King Charles  AI Very Good world series launched 2023 london; leg 2 Korea, Leg update 1 May 2023 AI companies that signed up for risk prevention commitments also include Amazon, Microsoft, Samsung, IBM, xAI, France’s Mistral AI, China’s Zhipu.ai, and G42 of the United Arab Emirates. New AI Versions OpenAI (May 2024)  Leg 3 Paris ETA Fall 2024 , Leg 4 why not your digital twin space.  Wendy Tan White CEO of Google's Robotic company intrinsic and Nvidia case leader  (advisory quantum Sandbox.aq), White's husband Joe White has been UK tech envy to San Francisco now broadened to envoy for all King Charles AI World Series partnerships. Wendy's family Brit imigrants from Myanmar Emperor Naruhito connects 60 years of relationships King Charles has developed with Japan Emperors originally as UK's teenage royal representative to Tokyo Olympics 1964. There Charles practical ability to unite tech worldwide began when he asked Sony's Morita to be the first Japanese investor in Europe. Charles noticed the city that was then number 1 user of silicon chips with its microelectronics and Deming-led system capabilities. (Moores Law of 100 timse exponential of chip power every decade began a year later thanks to Intel receiving its largest ever order from a Japanese calculator manufacturer)  Also the model of supercities that has seen Asia Rising initially from Japan to S Korea, Taiwan, HK, and Singapore. As well as smart city architecture, Charles & Naruhito share interest in water and climate intelligence. Tokyo Mayor Yuriko Koike was one of 2016 movers and shakers calling for UN2.0 desinged round educational transformation and women AI engineers. She is interested in smart city collaboration eg Tokyo NY London> because her father was in oil shipping her alma mater is Cairu University making her one of quite a large number of womens intelligence 100 who grew up with experience of middle east.Koike has been an energiser of mayors animating Bloomberg city alliance and supporting Data - see eg 10t year celebration of Data Act at new Bloomberg Johns Hopkins camus - 555 penn avebue - also a 5 minute trt from congress1 Lila Ibrahim (see Hassabis) as she's now COO Deep Mind London, comes from a Lebanese family who immigrated to mid west. Hence Lila's engineering quailification at urdue before getting a job at intel , then at Kleiner Prerkins connecting Ann Dierr's interest in coursera moocs before taking on chalenge as Deep Mind's popular stiryteller of what its expert au engineers are up to. MIchelle Donellan 1 2 emerged in UK as a public servant heroine duRing Covid. Riki Sunak gave her the responsibility to produce the  Bletchley/Turing/King Charles AI world Series: London, Korea. The UK has an election in July. Hopefully Donellan will be fund a way to continue AI world series ; in any event this doubles up importannce of Joe hite and Lila Ibrahim as already key to UK as key national ai player as well as key to Sovereign Data of Kings Englush Large Language Modeling. Arm ceo is a lynchpin of both British AI and kings charkes estate iwnership of Cambrdge busiebss park number 1 in European AI.Arm also evolved out of BBC and Acron computing. David Attenbough is BBC and world leader in natural intelligence. As a Prince, Charles was often seen at Royal Geirgraphical sov=ciety and oatron induence to awards network ashden. The London Royal Societes are Jewels in crown of interdosciplinary innovation. They have already played a huge role in Ai with the neuroscociety Gatsby having been a lead sponsor of hassabis during his soctiral years. In fact Hasabsi had been sponsored by Garsby (see also brainfacts) to be in stabfr =d and meeting feifei Li on her arrival rgwew =e in 2009.   Its interesting how many connections in intelligence world are made by the Royal game of tennis. If has brought Japan and UK families close. With Frances 2 great events in 2024 - Olympics, 3ef leg of AI World Series it would be great if female sports superstars and AI rockstars coud twin yiuth's celebration. Billy Jean King assisted by Salesforce Benioff is leading the way - see this PBS proram. It would be particularly cool if her Japan pick Naomi Osaka (Tennis Champion. Tokyo Totch Bearer, Black lives matter) coul bridge sports and AI worlds. Perhaps 2025 6-month osaka expo could be relay 4 og King Charles Ai. This wiuld alo help remember the late Abe's interest in deep data (he called osaka track) and AI's impact on soc5.0 Lee Kuan Yew From singapore global network heroines to celebrate Jackie Yi-Ru Ying Senior Fellow & Director,NanoBio Lab, A*STAR awarded the prestigious King Faisal Prize in Chemistry (2023), David and Lucile Packard Fellowship and the American Institute of Chemical Engineers (AIChE) Allan P. Colburn Award. She is an elected Member of the U.S. National Academy of Engineering, and German National Academy of Sciences – Leopoldina, TÜBA

Valuation AI changing every numerical profession

AI changing every profession like law dependent on applying history of published rules

AI is ending disciplinary silos

In corporations AI is changing "need to know"; rg if top people need to know then people at edge of customer /society relationships need to know. Preventing exponential risk (ie Ai safety) is meaningless unless organisational systems (let alone networks of partners) are getting rid of need to know

Partnerships cannot value sustainability of next generations if partnership has need to know constraints on any side. 

Life sciences and climate sciences can make huge leaps wiyh million times more comoutational power of deep data offered by advanced comuting archiecture. From 1966 to 2012 one cpu design almost monoplised comuting- this was one dimensional slow. Advanced comuting started in games tat required mutidimensional real time computation. REasons why "the sciences" leap firward with accelerated comuting o back to en=instein 1905 publications that nature maths is far deeped in system interactions than newton's maths could hypothesise or measure/see. Actually every risk to humanity is partlu=y assocuated with leadeship models not chnaging to integrate Einstein maths. THe NET (Neimann Einstein Turing) who gave us engines for brainworking and ultimaty for autonomous real tuke governance spent their last decade bbriefing media and ecoonomsts on this chalenge. Indeed they suggetsed a survey; what good will people unite wherever they get first access to 100, 1000, or million times more tech every decade. We can nw see that from 1965 moores law , sikicn valey linked engineering (also Jpaan deming) was pioneering 100 times more per decade. When satlellite pc netwrking started scaling those accessing this were designing futures with 1000 time more per decade eg from 1995 or tgerabouts. From 2012 or thereabouts, advanced computing architecture has offered coming of million times more. Thos who saw ai world championships hosted by feifei li saw 212 as when the whole world could see deep learning AI fr giid wiud need to map million times more. In 2018 LI testifed to congress that million times more computing machines were being rolled out primarily by nvidia but with eg AMD and ARM accelerating race between all transfirnimg to advanced comuting architecture

To date (74 years into dad's first briefings from Von Neumann) all AI is connected with engineers - hence our last edition of 2025 Report is designed around the game - identify first 100 then 500very good human intelligences most helping three triplets advance AI for all humans- todays maths goats Huang, Hassabis, Li; mid 20th C greatest Neumann-Einstein-Turing; Places leaders whose sovereign intel now depends on eg retaining their own Large Language model and deep data

  

It is likely that the main fieldbook of our last edition will impact the user like a travel guide to 1000 very good human intelligences

There are several inspirations to how future history genre of 2025 report but the one understood my today's co-editors starts in 1945 with Economist Editor Geoffrey Crowther. Geffrey edited London's weekly journal The Economist for over a decade before and after world war 2's conclusion. He also edited the centenary autoboigraphy of The Economist in 1943. As he said this was a unique opportunity to make sense of 100 year journalism instead of weekly reporting

In 1945 the exponentially deepest engineering question was could the impacts of engineers 2025-1945 celebrate more human good relationships around mother earth than the media and electricity engines begun out of Switzerland's IRU in 1865.

If the new engines of 1865 had root caused 2 world wars, it was likely that consequences of Engines 2025-1945 woul be be expoentially far better of far worse. As a Keynesian, Crowther was interested in what locks in possinbilities of next generations futures. My family entreeed into Crowrher's inquiry as dad had spent his last days as teen nanigatir allied bomer command burma, surviving he was in Keynes last class before Crowther hired dad and by 1951 sent dat to Priceton/New York to ask Von Neumann (and his NET: Einstein, Turing) about expoential multipliers

During the fisst 13 years that The Economist sever quesyioning of leaders included the NET's expected accelerations , Kennedy, Prince Charles and Japan's Emperor influenced the future - see www.econokistjapan.com; in effcet the pacific ocean (california to the coastal belth Jpaan Korea Taiwan HK and Singapore) had become an alternative innovation space to the atlantic theatre (Us east coast, and the 3 euoopes of isnads, of itu and central europe, and the EU's 6first 6 countries og 1955 which faf observed as only journalist Messina 1955)

So as we search for very good intelligences - 4 centre of gravities worth including:

how stanfrd became epicentre of global competition of training comuter brans (Fei-Fei Li epiecente before and after 2012)

the consequence of Jensen huang beettinng furtire comter design on 2012's ai breakthrough

the consequences of hassabis desinging intelligence games martching einstein's natural science revolution of 1905!

the cobsewquences of King Charles inviting commonwealth and turing worlds to LM Kings Ebglish in AI World series from Bletchley 2023, Korea and Parus, and why not space yot place digiral twins AI Soverigty

For Scots we could go back earlier. In 1758 Smith had asked what wil be the triangulaisation of 

1 natures systems

2 humans moral sentiments

3 man mafe (aeruficial) engines that his Glasgow University compatriot James Watt was emerging

Smith's explorations of compound systems are context rich. Scitlabd had become a coloy of London Kings since 1710s. Smith wanted to see a continent nit just one bellicose island be free to design enginnering futures. So he wasnt unhapply when Celtic friends led tea parties and US independence though Smith would not hav intended doubling down of Englosh Empire on two thirs of humans who were Asian 

 While we are looking forclues to crossroads that spiun rounf sysyems - its interestin to ask when did the King's english become the lingua franca of world trade.  

When it comes to LLM (Large Language Mapping) it helps to see when did English become the world's business language - somewhere between 1666 when dutch gave the english what became new york, late 1690s when Newton turned from cambridge science academic to master of London Mint (newly designed pounda gold standard) or 1730s start up of Lloyds; in any event this was before the start of engineering 1760 an birth of independeent usa 1776