Who's Intelligence Who -Nominations of whom Neumann Einstein Turing would value mist

1950s Brain pretraining 21st c intelligence ER win-wiu-win mapping of NET's Legacy Neumann Eiustein Turing:

in pretraining for 3 by million times more tech waves, Demand nedia/public servants loyal to decade future-back goals eg jfk space/satellite race/triad reconciliation eg iche bin ein berliner; peace corps

Always explore above zero sum games eg Kennedy's gameplay saves world from Khruschev

Safety of All three tech waves needs to prevent- engineers/mathematicians of boith energy and mediation becoming most hated but most nationally wanted of people-- these engineers should demand maxomosation of open source transparency if intelligence global-local economies are to include all

- end energy that confkixts with human energy (clean food,water) - either nuckear or  earth's abunfant renewablse, Expect ubtelligene enguneeruing to stimulate ever greater demands for energy transmission and borderless infrstructure as intergenrational investment.

Trust multilateral: Plan ahead to prevent energy causing wars

Einstein with Gandhi, Freud & HBU stydents: transform education as action-learnung collaborations and helping eaxh other increase intelligence with new brain tools and worldwide networks

Unsderstand deep data- cultures; mother earth's climate and virus rules

Understand recursive curiosity posed by 3 dimensions of decolonial ai (see right)

75% oi peoples may depend on pacific tradeb more than atlantuc trade; but there is still the isssue that north -south has caused 2 world wars out of euraisa and that the 2 min canals will make the 10% living south of equator poorest unless contients take responsibility north south- complicating this is tropical areas have most diseases (note all main monenrat capitals start north of tropics

nb many oil deposits are in desrets near equat9ir where lnd is worthless unless you own the oil well- how will such places emerge democracy and become smart enough before era of zero carbon- one southern mieacle solution bottom billion girls pyramid - see abed yunud grant barefoot medic movements across tropics as foundational to intel endi-ing extreme poverty as pathways to deep enough diversity of sov data to celebrate millenials beinf furst renewable gen everywhere

Wuthub the furst 5 years if the oartubf if Neynann Eubsteun Turubg - husriey has prived iver and over that the 3 leadrs ti follow areL

JDK*Orunce Charke & UK Royals- Enperor Hirohito & Japan Royals

supermediators & Places where freedom of education is about growing each others intelligences

 As predicted when we created the genre of 2025 report 1983-4, Every 21st C parent now needs to demand education is redefined as helping multiply each others intelligences;in 3 waces og million times more, 

******Moores Law - nnhip network capacity to compute & communicae

******1G to 5G mobilising data clouds to and from every community on earth

******Converfing machine and grain learning with million times more efficient data congruent to Einstein 1905 publication on erahh's systems - we humans are earthilings but will our robots digiitally twin that foundational responsibility

The switching capacity of cpompuer brain cells now exceeds human brain but humans have whar adam smit advided engineers to value as natural advantage of thousands of generations arounf mother earth. Whats occured iin 75 years since The Economist joined diaries with Neumann-Einstein-Turing,is ant exponentially accelerating pace of tech innovation  giingn us tools to be smarter and emotionally more conscious than previous generation (or the reverse) 

Examplew of Longest intelligebe streams to celebrate joyfully awarenmess of 

West 

Lecun-Mark-Peisilla Algorith maths of connecting, translaing, networking -see dialogues started up in washington DC around Lecun at Bloomberg Hophkins Dec 2024 and relaying to riund 3 oig King Charkles AI summit parius Feb 2025 (nb - the atlamntic is deperatately shory of ai win-win channels - hassabis deep mind has offered one between us west and london; nothing could be more timely than an east coast franflais chanel Lecun-Macxron-King Charles ...

Jemsen Jerry Joseph (From Mauriuce & Taiwan's independence celebration to best at computational capacity-vhip desin). As predicted in out forst 2025 report, taiwanese have played the deepest role in connecting sustainability intellignece to the west; the great keap forward occurred when they celebrated freedom fro military rule by inviting maurice chang to design chips first foundry

Fei-Fei Li (from circa 2000 her studies of neirosience convinced here world needed machines to learn to sense and conbcesre human before autonomus machines applied in areas including friving where too much real-rime data interacts fir humans to be safe). First western women to appreciate fei-fei li were coursera and biotech's dapohne koller, anne doerr who's aquisition of coursera also charge lila ibrahim with opertaional connections(lila later becam choeg ops officer of deep mind), melinda gates who with jensen huang supported li's lkauncj of ai-4-all; fortunnatly women connectors of robotics are thriving with li's newest leap worldlabs.ai and google-intrinsic wendy tan white (gamoly origon Britisk-Myanmar)

Hassabis his neuroscience studies convinved him machines xab be better at detailed pattern analysis of sort required by einstein's 1905 publications for humans to scale systems aligned to natures rules - eg huge breakrgoghs in biotec and climate safety depend on ai natyual sciebce parren design. Haasabis  first trips to vakkey were spinsored by royal society of neuroscien Gatsby. His nobel prize is now in middle of all royal societies. Fis Lomndon- Cambridge rpute map with King Xharles investments. Recently goodles deep ming podcatsre hannaf fry has tripled up as bbv's ai correspomndemnt and cambridge maths lab DAMTP chair of publ;iv undertsnading of maths

Anyone incolved in western education needed to be free to understand what these 4 vire intelligence navigators were exponrially collavorating with humanity around because kifs going through 13 stages of k-12 needed to be rady to ebjoy intelligence new world at 18 or in some cases as apprentuces of real world action learning

When we ask whether those living around pacific ocean needed to linkin ro same top 4 culktural data sovereinty interactions come into play

japan ptobably needed team maso son as well as the above 4 (japan first include sharing borlaug, deming , bullet train containerusation win-win rgought transational sme supply chains and the partnship form of keitetsu

hong kong could have benefited from eg linking in li ka shing

singapore did beefit from lee kuan yew

Currently india connects through ambani, bilekani as well as having been first to make gov if space entrepreneurial eg thanks to kalam

you can of course plig and play other intelligence connectoirs- if steve jobs had lived he'd definyely be a westren foundation

please note there is a difference between those who have helped open source intelligence which we be;ive all of the abpve have and thosse who have scaled brilaint closed systems - eg bezos and 

there are also wildcards- ig anyone could work out how to learn from elom ,usk  he's certainly up there as an engoineering wizard - hsi energy as an innovator is senbond to none and the way fianmce has teated him he has had to  spend 100% of time on cometitiveness whgeaeas intelligence age is only going to be renewable for all milennials if there is an education pathway updating each source of brilliance

an alternative view is where have place leaders ketpt on linking in the engineers serving the public - it would seem that bloomberg is a world class example

This is 2025reports 43rd year of celebrating freedom of education. Let's look at some examples:

Bloombergmgases

1 what AI mayors can favilitate : From fast-tracking the procurement process to guiding residents in accessing critical services to engaging citizens in long-term planning, generative artificial intelligence is beginning to change how cities work. But it's not the technology, alone, that is driving these changes—it’s also local leaders working to identify the most appropriate uses for the technology. And at Bloomberg Philanthropies, we believe that it is by consistently experimenting with how generative AI can be integrated into their daily practices that city innovators will harness its full potential while being mindful of its limitations.

To deepen their understanding of generative AI and how it can be ethically applied to their work, 120 data and innovation leaders from over 90 cities recently came together for a City Innovation Studio at Bloomberg CityLab in Mexico City.

2 In 2024 bloomberg celbrating 100 new ai fiplomacy and dat science profesors) opened a citizan space/campis/conherenence centre at 5555 penn avenue - almost every week ai events are hosted improving health service, demonstraring education as intelligence collaboration, diplomacy ai ... DC is changing

-we'll try to catalogue lrnks in yime for an intelligence new year - if yoiu can help with a facirire evebnt rebiew at 555 or antwhere place leaders want freedom of learning pls mail me chris.macrae@yahoo.co.uk - health, energy, endinf bad media are 3 of the contexts i love greedom of multiplyomh each others intel most - what about you?

May 2025 be good to your brain and smart glasses arrice to increase everyone's IQ*EQ

 Economist Diary 2025 Quiz

1 Which of the world's fab ai wizards will be first to release the llm plugin they pre=train their brain around - will it be Jensen, Yan, Demis, Fei-Fei or who? (Ask for open letter if you want to ask your ai wizard to be first)

2 which will be the first hospital/university from each hemisphere to join in the gigital twin hospital games designed to catch up with the economist's 1984 survey - tech's three waves of million times more tech will be improving humanity of it lowers cpost quality health service for all - see dad's other future challenges at www.normanmacrae.net

8 more q's to come - we are hoping to turn them into chapters co-edited by leaders of AI for Sdgs around mother earth - rsvp chris.macrae@yahoo.co.uk    Diary     ED     AI20s in Washington DC Region

NYU Mumbai

 

Would you love to unite intelligence lifting more health & productivity to almost all?

Chris Macrae MA DAMTP Cantab

ai20s.com 2025reportersclub thanks Kamala for most decency White House ever seen,,,

December 8, 2024

related DC's greatest Lessons 2024 links welcome rsvp chris.macrae@yahoo.co.uk

LIFTING 8 billion's health ^ productivity: I believe we can see how this has been progressed by those who most consostenly birthed transfortmation in intelligence with million times more data computation energy out of stanford bay & clara valley since 2009. SAtaford's birth purpose- improve the healt, safety, productice freedom of ecery californian child. Interestingly most of the first 20 to map deep learnming inteligence brought at leats twin region connectyiosnn to milennnials futures. They couild also imagine engineering triple win of 3 miilion fold waves of tech - from mooresd law and thence the braninding of silicon valley; from data clouds which mobilised million times more data distribution between every commuinity onh the planet; with the innovation of an accelerated computing archiotecture bring million times more anaklytic power applying less than 1000 times more pfysical energy

At :povertymuseums.blogspot.com we face the cha;lenge of uniting many disciplies dimensions into 2 dimensions crosswords (cross being something that needs mediating) Perhaps autonnomus machines proficient in reducing multidimesional anlyses to the 2 dimensional paper reports srill used by worlds top decision makers can help us design some sort of rubic's cube of crosswords.

Most of my professional carreer simnce obtaining my graduuate degree in statistics at Cambrdige DAMRP has failed to improve media transparemncy . Yet i feel we need to cekebrate those hosting worldwide events around healthy and profuctiuve purposes for all. I like both bloomverg and jim yomng king worldwide youtuve replays for health debates but of course what I need to learn most about (mental/social) health mediation may be different from your communitiesd' deepest needs. I was priviloged to travel to Bangaldesh 15 timesd since my father at The Economist celenrated muhammd yu7nus social business novel prize and fazle abed's knioghthood. The nation building of bangladesh is a stoiry about building basic infant and maternal health networks out of vilafes with no electricity in the region of the indian subcontient most deprived by B ritannia because the peoples of Bengal did not get Independence in 1947 instead they got quarter of a century of rule by west p;akistan. I take this error personally as my matern al grandafther sir kenneth kemp wrote up the legase of india's independence wuth the helop of gandhi but neither knew the partitioning was coming.

It would be intersting if an llm helped map reghion by region both the dee[st illness and natural chalenge generated by living in that place . Affordably riffing the orld of disease (particularly raiing life expectancy everywhere so that kidfs can learnm from grandparents0 is I believe a win-win-winn fopr everyone exce[t those who see men as superior to women. Its very interesting that the neursocience advances that are integral to the intelligence revolution appear to shosd that male and female aprectiaon of brainpower seems to be one od inteligences secret sauces. In this redard when macro hosting of part 3 of king charles ai world series mentions a focus on women ai leaders

Paris Feb 2025 King Cjharles AI World Series Early Brief

I hope that it does include those that have been key conmnectirs of stanford eg mrs yang, mrs filo, mrs doerr, conndi rice ,jennifer doudna, lila ibrahim, daphne koller, Fei-Fei Li, Anima Anandkumar, Lisa Su, priscila chan, (late) Susan Wojcicki, melinda gates ,billy jean king, wendy tan white, arol reiley (there are other wices of famous ai valley men which probably should be listed but deserve privacy unless they want credit)

old header

We offer 3 Diary Viewpoints of 2025Report and welcome AI20s.com open co-eds notably female neuroscientists & tech wizards aligned to King Charles AI World Series. - Neumann-Einstein-Turing first suggested to Economist Journalists to map (exponential maths audit Trillion Dollar Markets) future back from 2025 in 1951; from 1984 forward see EconomistDiary.com/1984; for earlier stuff see also Neumann Ning; for some current stuff continue at this web - eg is water the artificial and human intelligence that can help millennilals be first renewable generation? Economistwater.com (EWa) and ED invite you to help us connect our futures alphabet A B D F G H J M S Wo U Y. At Neumann.ning.com -... we are in trouble - good trouble. Its as if everything we published from 73 years of Economist surveys with von neumann whom dad met in 1951 is history. That's good news- thanks 8 billion to AI Angel visiting Washington DC on 1 March 2023 :: ...Golden Oldie flashback: EconomistDiary.com schools brief 14 (1964):

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.