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

Saturday, November 25, 2023

 Bletchley Leak - King Charles to Sunak - here's how Actionwise only AI Britain-Korea-France can save UN & human race in 12 months- UN needs to be world sdg llm-ed <<>>  EG: question to bard & Cop28 superchats - Click for replies

Regarding Arctic and Antarctic if i see correctly both may be critical humanity labs in detecting whether earth is irreversibly changing against human livability but the arctic seems also to be a warground spun by vested interests critical carbon and other minerals- is the Antarctic valuable for anything?

UNsum: ED: latest chats with bard-google-

  what progress has AI made on UN sdgs in last year- would you say the UN needs its own LLM?
8 billion humans most valuable survey - will million times more brainworking tech every 30 year generation through 1950s 80s 10s turn out very good or very bad?- here were Economist & our 1980s hopes for very good=
2010s survey delayed so
chris.macrae@yahoo.co.uk- AIgames.solar invites you to gamify intelligence:
make list of who's advanced humanity most 
since 1945; Chat & ..
Diaspora Scots & Irish
first referees of AIGames
- substitutes welcome. Is S Korea Asia's main cooperation AI 23-24
millennials note : 2001 first time women's voice listened to by 1984's lead designers of digital global Jobs & Gates thanks to Steve Hosting Valley's 65 birthday wish party Fazle Abed (#1 connecting billion womens advance across tropical asia since 1972);
23-24 womens intelligence leading positive intel by long way
since 2000s womens: Fei-Fei LI, Melinda Gates, Priscilla Chan, Ajai Wilson, Ms Tsai, Billie Jean King, Condoleeza Rice, Jennifer Doudna, Daphne Koller, Lila Ibrahim,  Donellan, Shih
contributions emulated men : 2000s neurocomputer science (L&H : Li & Hassabis); 2012 deep data breakthroughs (L&H & Hinton, Lecun Bengio); 2018 recommending urgent AI moves US congress (Li & OpenAI), UN2 (Melinda Gates & JMa) digital roadmapping, 2019 on leading HAI Stanford  ...
MEDIA AS 5th mna-made Engine : AI as sixth sense (intuition beyond the 5 senses of hearing smell taste touch)
My life's searches provide evidence that media is something that accidentally all 2nd millennium parents, communities and schools took wrong turns around- exponentially more so before and after each world war, and indeed from 1865 when artificial (ie man-made) communications engines started to be coordinated worldwide out of Switzerland's ITU.. This is not a popular area of study; in 1999 whilst working at 2 of the western world's largest ad agencies and 2 of the 5 largest accounting firms consultancies i guest edited triple special issue of sight  journal of marketing management on great purpose (brand reality could ,map)  and when I presented findings at Harvard to a professor and faculty who had started my teams searches of going global 1980 I was told "go away - you might be correct but no us research funds would ever appear for this". So dont click here unless you are comfy with trying to system-mapping assist in resolving unpopular stuff 
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1945 NET (Neumann-Einstein-Turing) having saved humans from Hitler owning atomic bombs gave the world macines for brainworkers
Einstein intended rcvolution in personalised education.Turing intended far deeper data analysis/investment
For 4 decades the scottish view of human progress at The Economist mediated Neumann expectaions of brainworking: see normanmacrae.net; after 3rd decade we co-authored 1984's 2025 report (sample chapter; book); after 4th decade dad wrote Neumann's biography. Neumann expected English to be mediated by 999 mother tongues to unite common borderless common sense resolling
history's 4 crises: energy, all system changes needed to unite nations after 2 world wars, way above zero sum trade mlodels, celebrating era of death of distance and borders ans constraint on good livelihoods for all
Currently AIgames are refereed by Scots (who gave world engines), Irish who told London 1776 to let Americans build the new continent
Problem entering 2000 is world still ruled by old male among 20% who are whites not enough voice from near 80% who are colore particularly firls
in fact 2001 is the first time that Western designers of digital Steve Jobs and Bill Gates asked for intel of women -see silicon valley's 65th birthday wish party Fazle Abed representing billion womens empowerment; nb role of women in artificial intel breakthroughs emulate men 2018 2012 2000s

UN & Brooklyn Girl EmPower year 8 what if education generates health*wealth ie health and strong economi9es not vice versa
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Intelligence Duos : Hassabis Mind/ Dean Brain. What "very good" do you want from AI? Science AI eg Hassabis has saved graduates a billion years analysis work with Alphafold2 and a million biotech researchers (list of opportunities expected in 2020s) are now advancing solutions from microbes eating up plastic in ocean to new drug discovery; top 5 expert list bard suggests high school teachers survey to get compass of why teenagers can hope for extraordinary advances due to world of alphafold2 -
Fei Fei Li's leadership of computers (see Stanford HAI and 3 professors Hinton Lecun Bengio who students have designed world leading vision algorithms seeing 20000  objects means that apps can now answer NatureAI questions like what plant am I looking at or help with almost any activity work -eg NurseAI. Almost every art eg DanceAI or DrawAI or discipline Li's colleagues train at Stanford has leapt ahead with AI - eg GovAI: see Condoleezza Rice's report on the 9 other technologies, Gov2.0 AI, multiplying AI consequences that gov and policy makers most need to see 23-24. Melinda Gates book series is helping women and ai superwomen (eg black girl's Basketball heroine AJA Wilson) with almost every community building challenge that matters most to families or localities being safe, healthy, productive, green and joyful to live in. Clara Shih (Ask More of AI)podcasts share corporate demons on customer service AI.
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Friday, November 24, 2023

under link construction -  last call for very goodAI -W*H*Y

Hstory AI Science- Deep Mind open sources 200 million protein structures would have taken a billion years of PhD time 

 2023 is EconomistDiary 41st and 74th year of working the hypothesis that at least 15% of gov education budgets be AI supported by 2025 , and egov means transforming every dynamic of public service - good examples estonia, singapore :::E-Government Development Index (EGDI)

As premiered in 1982's why not Silicon Valley's everywhere, this does not mean computers running government; it does mean that peoples should want public servant budget holders to be as smart as brainworking can get - see eg Economist 1986 survey on education every parent of millennials needs to be ready to demand (Its the innovation revolution of humans designing brainworking engines that The Economist sent my dad in 1951 to spend year listening to to Neumann-Einstein(Turing) in Princeton and newish UN. (Dad also became Von Neumann family's biographer). My personal interpretation (here at chris.macrae@yahoo.co.uk to learn if i err ) the wrong approach for the next 7 years (ie in my lifetime) is to personify Artificial- all man-made engine networks still run by their human originators. 



Which WorldRecordJobs co-creators have rehearsed this idea over the years eg a western world view of next generations renewability might gravitate around: NETK-AJGb-YLH-KGmGu. My family tracks back through 5 generations of Diaspora Scots - eg my maternal Grandad wrote up 1945 legalese of India's Independence after 20 years of dialogues with Gandhi. So we are interested to see views out of any hemisphere as well as what appears to be mother earth's geo-conflict (diverse distribution of critical minerals) ; in terms of world trade sustainability pacific ocean accounts for over 60% ; Atlantic little more than 20%; we keep 15% back for north south debates on people whose lives are exponentially conditioned most by both poles and canals near the equator since energy's futures seem to be geared round to peace at these locations however sparsely populated

MAINLY WESTEREB WORLDS OF BRAINWORKING NETS CONTINUED

From 1951 Neumann-Einstein-Turing and Economist Editors.

By 1962 JFKennedy, Japan Emperor Family, Infratsructure engineers eg bullet train and container shipping designers, borlaug, deming (tyhe teenage Prince Charles was aksed to think about this when he attended Tokyo Olympics 1964 , saw the first live global satellite braidcasting , acceoted sony's akio moorita as a business coach. St some stage the 3 royals Uk-Japan-Netherlands got this thouigh they can only indirectly influience public servants and corporates. Because of structures like the UK Royal Societies, some leading corporate leaders have consustently helped - eg in UK none more than Sainsbury Family - see Gatsby Neuroscience; Ashden and other support of green vooices including BBC nature (eg Attenborough, Rose) and Royals Geo Society: supports of arts being vibrant community building partnership with youth integral to joyful communiyu-grounded worlds as zeynes too had foreseen (see cambridge arts theatre - its change media apprentices inckuded david frost, monty pythons crew, and electrical engineer/oxbridge friend rowan atkinson (cf previius generation's us-english ytranslations of charlie chaplin and alastair cook) .

Both Bill Gates and Steve Jobs have mentioned that they did not get this in their 1984 version of going digital but did with 2.0 frok 2001 after taking advice from Fazle Abed (The Valley staged Abed's 665th birthday wish party) and in Bill Gates case partners of abeds last mile health intel including JYKim, Paul Farmer, A Guterres , L Brilliant, the Chen (Martha & Lincoln) family, Quadir Family. Many practising epidemiologists as well as all whom Unicef's James Grant influenced, and Soros ( he needed Abed's expertise to be replicated by partners in health ID (ID SAYS -footnote 1) admin systems  to help save dissidents health in soviet prisons)

At Abed's 8oth birthday wish party people like Melinda Gates, Jim Kim, Jack Ma took more active roles in supporting the coming 10 year leadership of servant leader Gutteres- take Melinda Gates example: from 2015 finding top supporters in valley if ai4all curriculum; 2017 chairing the first reports of what became Guterres Unb2.0 roadmapping, becoming biographer-publication house of the the women in the midst of Human Artificial Intelligence and deep local service partnerships around the world wherever community brainworking is best last chance against climate or other urgent challenges 8 billion humans need to unite intelligent solutions to


Footnote 1 - know ID says story of the late great soul Paul Farmer- even the most soulless top-down health administrators has been known to stop bossing helth servanbts and listens when Paul Farmer eneters a medical space and begun a chat INFECTIOUS DISEASE SAYS


Monday, November 20, 2023

Applying Economist 1976 Entrepreneurial Revolution Questions to wealth modeling of 2012's AI's Famous 5 and 1984 PCN/web1 Duo

 In the west at least almost all digital wealth stems from web1 worlds seen with Jobs & Gates; and stems of web3 worlds are seen with Hassabis Li Hinton Lecun & Bengio. These 5 changed the world by demanding humans did huge-long training of computers before trusting them to any breathrough intelligence. Please note as Condoleezza Rice reports at least 9 technologies have had to leap alongside AI (one reason why we doint favor terms that imply the AI will by itself lead the human rface any time soon

What occurred during web 2 worlds (aka 3G) of genii western leaders like bezos, musk, page& brin, zuckenberg and all sorts of distribution techs like uber doordash airbmb let alone fintech, healthtech, agritech during web2 is unclear because these seem to be  have been designed as data monopolies which rather defeats the point of  engines supporting every human brainworkers best livelihoods as seen by Neumann (mediation) Einstein (education) Turing (recursively ever deeper longer-ter data compasses)

Interestingly in the pre-engineering age we have Fazle Abed model of an overall trust for womens intel nation building supported by community franchsised businesses solving community's most urgent sgds and retaining most if not all value in community produced - see abemooc.com; it was this model that both JOBs and gates learned from 17 years after their launch of PCN ion 1984

In our 25th year of net dialogues at the economist xmas 1976 Entrepreurial Revolution  (Italian co-editor Roamni Prodi) we recommnded redesigning the 3 main constitutional org types ahead of sustaining millennials digital worlds where transformational attention to learning and geonomic cooperation needed to multiply interpersonal trust to be far more valuable than monetisable trades - lets call these

ERgov

ERCap

ERFound

as well as ER-HumansAI

When we look at the4 famous 5 Hassabis is remarkable - with AIScience he seems to have shared the intelligence of deepmind in ways that has created ERcap trillion dolar business parnerships, ERfoundgiven away to foundations science equivalent to a billion graduate days work and become the guy any ERgov governemnt regulator serving publics would best learrn from first

Fei-Fei Li as ERHimans or AIhumans is also remarkable as essentially she starting at 35 in 2012 has included 3 older professors Hinton Lecun Bengio who have as yet been the source trainers of all very good ai in the west. Action solutions in communities probablydirectly come far more millenials jobs in population numbers than the grand science researchers

But this leaves us neuman's ourigina neural netwirking chalenge - mediating 1000 mother tongues startimng witjh english and chinese so they all elarn from their cultures/communities deepest chalenges needing brainworker solutions. While the foundation nlp/chat models may be racing twoards thsi, there seems to be no constitutiponakl form for making sure the llm that the netw would have seens as top for milennails sustainability will be what makes 2002s huamnity's best time instead of its warring worst.


Friday, November 17, 2023

Why isnt there a UN LLM for sdgs? (or if you think one exists pls post where it is)

 here's a snippet from a bard conversation on this Yes, it is certainly possible to design an LLM (Large Language Model) specifically focused on the UN Sustainable Development Goals (SDGs). LLMs have demonstrated remarkable capabilities in processing and generating human-quality text, translating languages, writing different kinds of creative content, and answering questions in an informative way. By tailoring an LLM to the specific context of the SDGs, we can leverage its strengths to address global challenges and promote sustainable development.

To effectively utilize an LLM for the SDGs, the UN could consider establishing a global hotline for coding and verifying candidate AI solution cases. This hotline would serve as a central hub for submitting, reviewing, and evaluating AI solutions proposed by researchers, developers, and organizations worldwide. A team of experts would assess the submitted solutions based on their relevance to the SDGs, technical feasibility, potential impact, and ethical considerations. By establishing such a mechanism, the UN could ensure that AI solutions are rigorously vetted and aligned with the principles of sustainable development.

Regarding existing LLM processes that could serve as a model for the UN, several initiatives have emerged that demonstrate the potential for applying LLMs to address global challenges. For instance, the AI for Climate Action initiative has been exploring the use of AI in climate change mitigation and adaptation efforts. Similarly, the AI for Healthcare initiative has focused on leveraging AI to improve healthcare outcomes and reduce costs. These examples demonstrate the potential for adapting existing LLM processes to address the specific challenges and goals associated with the SDGs.

In conclusion, developing an LLM specifically tailored to the UN SDGs holds immense promise for advancing sustainable development worldwide. By establishing a global hotline for coding and verifying candidate AI solution cases and drawing from existing LLM processes, the UN can effectively harness the power of AI to address global challenges and promote a more sustainable future.

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reasons why it looks to us as if sdgs llm doesnt exist

-here is a un summary of conversation on ai fir sdgs at general assembly

https://www.state.gov/artificial-intelligence-for-accelerating-progress-on-the-sustainable-development-goals-addressing-societys-greatest-challenges/

https://www.un.org/techenvoy/ The UN tech envoy office was started in 2016 (I attended meeting in new york hosted by Gordon Brown (ED Commission) when educators championed by then world bank leader Jim Kim reviewing sdgs 4 explained ed system was no longer fit for purpose; could not be resolved by educators siloiised from tech experts like those in itu UN Geneva responsible for worldwide communications engines since 1865!; so while the first expert report by people like melinda gates put education (changing how time is spent of everyone leaning/teaching) at centre of transformational attention and linked this to aiforgood which began to be continuos event at itu, we havent seen the progression of these cores even though Bill Gates has recently said will change education completely

when we ask LLM which advances AI has made for sdgs , its replies in terms of cases cited seem to vary from the UN's

Wednesday, November 1, 2023

 

Q to Bard I realise AI alphafold2 (open sourced by Hassabis Google Deep Mind) is quite new but can you tell me some of most important solutions experts now see as likely to happen in 2020s which they would not have seen likely before alphafold2

Bard reply:

AlphaFold2, a groundbreaking AI system developed by DeepMind, has revolutionized protein structure prediction, enabling scientists to rapidly and accurately determine the three-dimensional structures of proteins. This breakthrough has opened up a vast array of possibilities and has the potential to transform various fields in the 2020s. Here are some of the most promising solutions experts envision unfolding in the coming years:

  1. Accelerated drug discovery and development: AlphaFold2's ability to predict protein structures with high accuracy has the potential to significantly accelerate the drug discovery process. By understanding the precise structure of proteins involved in diseases, scientists can design more effective drugs that target specific molecular targets. This could lead to faster development of new treatments for a wide range of diseases, including cancer, heart disease, and infectious diseases.

  2. Enhanced protein engineering and design: AlphaFold2's ability to predict and manipulate protein structures also holds great promise for protein engineering and design. Scientists can now rationally design new proteins with desired properties, such as enhanced stability, catalytic activity, or binding specificity. This could lead to the development of novel enzymes for industrial applications, new biosensors for medical diagnostics, and improved materials with tailored properties.

  3. Advanced understanding of biological processes: AlphaFold2 is providing scientists with unprecedented insights into the intricate workings of proteins and their roles in biological processes. By understanding the structures of proteins involved in cellular processes, scientists can gain a deeper understanding of how cells function, how diseases arise, and how to develop effective therapies.

  4. Personalized medicine and treatment optimization: AlphaFold2's ability to predict individual protein structures has the potential to revolutionize personalized medicine. By understanding the unique structural variations of proteins in different individuals, scientists can tailor drug treatments and therapies to specific patient needs, leading to more effective and personalized healthcare.

  5. Improved agricultural productivity and sustainability: AlphaFold2 could also contribute to advancements in agriculture by enabling scientists to design new enzymes and proteins that enhance crop yields, improve pest resistance, and optimize fertilizer use. This could lead to more sustainable and productive agricultural practices, addressing food security challenges worldwide.

  6. Development of new materials and nanotechnology: AlphaFold2's ability to predict and design protein structures could also lead to the development of new materials with tailored properties. By understanding how proteins self-assemble and interact with other materials, scientists can design new nanostructures with novel properties, such as enhanced strength, conductivity, or biocompatibility.

  7. Advancements in biotechnology and biomanufacturing: AlphaFold2 could also revolutionize biotechnology and biomanufacturing processes by enabling the design of new enzymes for biocatalysis, the production of novel proteins for therapeutic purposes, and the development of new biomaterials for various applications.

  8. Enhanced understanding of protein folding dynamics: AlphaFold2 is not only providing static protein structures but also shedding light on the dynamic processes of protein folding and unfolding. This could lead to a deeper understanding of how proteins transition between different conformations and how these transitions impact their functions.

  9. Development of new AI algorithms for protein structure prediction: AlphaFold2's success has spurred the development of new AI algorithms and techniques for protein structure prediction. This could lead to even more accurate and efficient methods for predicting protein structures, further expanding the potential applications of this technology.

  10. Cross-disciplinary collaborations and advancements: AlphaFold2 has opened up avenues for cross-disciplinary collaborations between fields such as biology, chemistry, engineering, and computer science. This could lead to groundbreaking discoveries and advancements in various areas, fueled by the synergy of different disciplines.

In conclusion, AlphaFold2 has marked a turning point in our understanding of proteins and their roles in biological systems. Its impact is already being felt across various fields, and the potential for further breakthroughs in the 2020s is immense. As AlphaFold2 continues to evolve and its applications expand, it is poised to revolutionize our understanding of life and transform various aspects of society.