.Modi-Banga-Ambani- Bloomberg..any chance that india's implementation (modi paris febriary =KingCharles ai relay 3/ ambani/jensen november) could twin supercity discovery with bloomberg road sadety learning curves since 2007 celebrated at last week's world bank 22nd transforming transporation (nb we're glad Charles is celebrating 2nd quarter of 21st C with AI frineds following or support starting first quarter of 21st c microcredit bangladesh women empowerment - banker for poor- hope musk's starling offer to dr yunus is real thing)
thanks as always to steve jobs who in 2001 hosted Valley's 65th birthday party with women empowernents Fazle Abed, and in 2002 started coding pixels at Pixar with Jensen Huang soon to change radilogy ai and then all surgeon ai and then
JENSENS LAW COMPLETES 10**18 more tech since 1965 ~MooresLaw*Jobs (&Satellite?Space AI 1G to 5+G) Mobilising Data Clouds*Jensens Law chris.macrae@yahoo.co.uk: In 1964 I was 13 - starting to study maths slide rulers were most efficient dtata analysis apploed by schools anywhere. * years later as I achieved mt postgrad Diploma Stas at Camvridge Maths Lab DAMTP - online compiting barely exuisted. I lucjed out with my first job - UK Natioanl Developmemt Project Computer Assisted Learning - there I not only stidies online classes connecting 100 studnts across the country but programmed much of the content and acted as tutir when machine ocasionally broke down. I am conveinced blending digital and "real" learning is what every millennials needs to generate.
AI AGENCY FOR EVERY HUMAN TO COME BEFORE AGI 18 March 2025 sees Nvidia's Jensen Huang start 11th year of summit updates on all deep learning ai and effectively year 24 of pixel ai core to 1 most medical al as well as rendering and figital games
Which kind of Intelligences -human AND engineered - interest you? AI is brilliant wherever structctured multidimensional analysis is beyond any human brains which over focuses on one dimensional (short-term) numerical audits and except in medical scanning (as yet) often fails to fully openly/transparently appreciate 2 dimensional maps let alone 3d up
IMPORTANCE OF CELEBRATING PLACES SO ALL 8 BILLION BEINGS THRIVE ACROSS GENERATION (4 billion under 30, 4 billion over 30)
(eg valuing data sovereignty by and for peoples futures! ) India will be lead space to benchmar 2025-2026
- first demonstrations came from coding pixels (2002 steve jobs pixar and jensen huang's nvodia) applied to radiology and now prerrt much any o[eration surgeons need to reherase ; DOING ENGINEERS LIFES WORK over 200 engineers of 30000+ have been at nvidia from this start - payyern recognition solutions apply to many of mathjs challenges first published einstein 1905 e=mcsquared; Jenmeen huang had already started to bet the company on jensens law - computing 2.0 designs needeed for deep learning analyses through 2000s when in 2009 fei-fei was headhunted to stanfird because of her idea that machines could learn all 5 human senses; this reignited brain science maths of neural networks that Neumann-Einstein-Ruring had expected humans to progress technolgy with but which non digital neiuroscient academics had losttough with; without jensen haung betting on chip desihn triaimh machines in all 5 senses we woild not have toadys chats nor would we have ways to make sure robots and autonomois moving machines obey human safety converns
Updated Western Spring 2025
Health & Safety AI is now 24 years : see eg mathematically evidenced thanks to what happened in 2001/2 -with silicon valeey transforming into AI Valley : Nvidia's Huang partnered Steve Job's Pixar after Steve had hosted 65rh birthday party of Fazle Abed celebrating billion poorest asian womens inteligence &James Grant School of Global Health integrating human energy intelligence netwrks eg Borlaug
Cofing pizels makes all kinds of medical scanning & mappoinf=g simpler than coding binary - see jensen haung and 3 taiwan american families, deep mind hassabis, Lila Ibrahim, Hanah Fry (reconnect with maths deepest puzzles sincve einsutein published e-mmcsquared)
alu,ni of bllopomberg roads and superscity civil engineering maps
data sovereignty ai taiwan american families with ; commonwealth ai king charles, modi, Ambiani, Japan emperor, Qatar leader ..
Meidation 5 human senses to agent advanced brainpower of every human is in crisis - while au's most exciting race since deep learning lab at stanfird begun 2009 by jensen huandg , stanford, (assists koller, ng , anne doerr, lila ibrahim) fei-fei li, and the neural network alborithm people (start with yann lecun as most practical)
autonomous machines and robots - while humans need these desperately ; we cant just leave that to elon musk (greatest genius in space ai and robotics as he undoudtedly is- these areas are very technical unlike other ai so be curious about them bit dont expect to contribute without many uears deep appreticeship or a brain the size of musk!
March 2025.1) what are opportunities & risks to kindergarten-12 grade generation of brains over next 13 years given 10**18 more data analysis tech available than when I was 13 year old in a class of slide rulers (roughly 10**18 has emerged since 1964 with 3 by million fold waves: moores law* mobilising data clouds* nvidia jensen partners in deep compute 2.0 (other ways of visioning texpoenetial X are possible)
March 2025.2 thank you for the map of educational transformation necessary - can you provide some other maps eg investment, public service, civil engineering?
March 2025.3 given need to trabnform pension invetments etc could you see abitcoin 2.0 being designed to enable ai agency to help optimise brain development (by and for all 8 billion beings) over next 13 years
...
Today, engineering of intelligence is changing every human skill, every life, every community’s economy safety and natural beauty
This is impacted by transparently auditting exponentials of 3 multiplicative waves of million times more technology
QUiNTILLION TIMES MORE TECH 3) Nvidia compute2.0; 2) Satellite Data Clouds; 1) Chip Designs Moores Law Download 4 slide powerpoint intro -coming soon or chat chris.macrae@yahoo.co.uk , Washington DC ...
www.ai20s.comHIR-KELM- Do you need to know about Xponential Kings English Language Modesl -in full throttle since OCT 2023 fusion of Pacific Coasts' Human Intelligence Reality & Atlantic's Kl? HIR has been very good at brainstorming the coming of 10**18 "moore" computational and data trnasmission tech. Moore's Law started this engineering gift to humanity 1965; my favorite year's giant leap by engineers is Valley brainstorming 2009: primarily 3 wizards' nets brainstormed application of next wave of accelerated computing (Team Huang) and chose Games transformation around Einstein 1905 logics (Team Hassabis eg open sourcing 250 milion protein databab alphafold3) and democatising (girl empowering) every human's coding of digital intel by training machines to adapt to human modes of communicating and sensing mother earth (Team Fei-Fei Li who this week launchedworldlabs.aias her friends latest north star platform). Given accidental system failures in transtalantic's mediation of 2001, 2005, 2009, 2021 the world's 8 nillion vitizens owes great debt to Pacific (especially Valley) in keeping Human Intelligence Reality within reach of sustainable generation of millennials. It seems that from October 2023 to end of school year 24-25 every aspect of KELM will be tested eg US Nairr Pilot Executive Order & Chips Acts together with King Charles AI world series (London , Seoul, Paris ...), NY next week UNsummitfuture and NVidia world in DC October 7-9. We need hundreds of cities' peoples to celebrate intelligence inclusion. One way helping transatlantic Americans to transform attention is Bloomberg's commitment to smartest 100 mayors to get their peoples deepest intelihgence needs openly researched by Amerca's number 1 reearch univeristy Johns Hopkins. The US Department of Energy has located America's bigget computing powers across 13 national regions so that while DC' NiST orchestrates the USwww.NAIRRpilot.org, 13 reigonal HIRs can blossom and factually NAIRRS are the consequence of NIST deciding to fund Fei-Fei Li nearly 20 years ago. More on how Queen Victioia way back 1843 asked Economits to tranform English Constitution imoact worldwide in 1843 atwww.economistdiary.com.
Our newsletter Ed3EnvoyUN wuth Unwomens @ linkedin and Facebook's fanclub of Yunus Bangla2.0 benchmark for all UN gov2.0 servanrs of SDGs, with million friends www.ed3dao.com (AI*metaverse*Digital Twins of Earth2.0) will try to celebrate & map every open diary date to futures for all but welcome probobo corespodents across 100 cities and all hemispheres and linguistic data sovereignties.
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Millennials & Parnets responsible for their generation no longer need UN SDGs -let’s Unite to Save our SpeciesSOS 17 .16 .15 .14 .13 .12 .11 .10 .9 .8 .7 .6 .5 .4 .3 .2 . 1 . Economistdiary.com .
join us at www.ai20s.com to explore what else could happen - eg id Musk helps Dr Yunus design Bangladesh 2.0 at same times AS USA game of 7 Trumps
If Elon Musk's Starlink were to provide optimal support to Dr. Muhammad Yunus, the Nobel Peace Prize laureate and founder of the Grameen Bank, in his ongoing efforts to design a "new nation" of Bangladesh centered around poverty museums and women empowerment, the impact could be transformative. Starlink's high-speed, low-latency satellite internet could address critical infrastructure gaps in Bangladesh, enabling Dr. Yunus' vision to scale rapidly and reach even the most remote communities. Here's how this collaboration could unfold and its potential outcomes:
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### 1. Empowering Women Through Connectivity
- Digital Literacy and Education: Starlink could provide internet access to rural areas, enabling women to access online education, vocational training, and resources for entrepreneurship. This aligns with Dr. Yunus' focus on empowering women as key drivers of economic development.
- Microfinance and E-Commerce: With reliable internet, women in rural areas could participate in digital marketplaces, expanding their businesses beyond local markets. Grameen Bank's microfinance initiatives could integrate digital payment systems, making financial transactions faster and more secure.
- Telemedicine and Healthcare: Internet access could enable women to access telehealth services, improving maternal and child health outcomes in underserved regions.
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### 2. Poverty Museums as Centers of Learning and Innovation
- Virtual Tours and Global Awareness: Starlink could enable poverty museums to offer virtual tours, raising global awareness about poverty and inspiring international collaboration to address it.
- Interactive Learning: High-speed internet could facilitate interactive exhibits, live-streamed workshops, and online courses on poverty alleviation, social business, and sustainable development.
- Data Collection and Analysis: Internet connectivity could allow poverty museums to collect and analyze data on poverty trends, helping policymakers and researchers design targeted interventions.
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### 3. Scaling Social Business Models
- Global Reach: Starlink could connect Dr. Yunus' social businesses (e.g., Grameen Phone, Grameen Shakti) to global markets, enabling them to scale their impact and attract international investment.
- Digital Platforms for Social Business: A dedicated online platform could connect social entrepreneurs, investors, and beneficiaries, fostering collaboration and innovation in poverty alleviation.
- Real-Time Monitoring and Evaluation: Internet access could enable real-time tracking of social business projects, ensuring transparency and accountability.
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### 4. Bridging the Urban-Rural Divide
- Remote Work Opportunities: Starlink could enable rural residents to access remote work opportunities, reducing migration to urban areas and promoting balanced regional development.
- Agricultural Innovation: Farmers could use internet-connected devices to access weather forecasts, market prices, and best practices, increasing productivity and income.
- Disaster Preparedness and Response: Reliable internet could improve early warning systems and coordination during natural disasters, which are common in Bangladesh.
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### 5. Catalyzing a Global Movement
- Inspiring Other Nations: The success of Dr. Yunus' model in Bangladesh, supported by Starlink, could inspire other developing nations to adopt similar approaches to poverty alleviation and women empowerment.
- Global Partnerships: Starlink's involvement could attract other tech giants, NGOs, and governments to collaborate with Dr. Yunus, creating a global network of support for his vision.
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### Challenges and Considerations
While the potential benefits are immense, there are challenges to consider:
- Affordability: Ensuring that Starlink's services are affordable for low-income communities will be critical.
- Digital Literacy: Training programs will be needed to help rural populations, especially women, make the most of internet access.
- Sustainability: The initiative must be environmentally sustainable, aligning with Dr. Yunus' focus on social and ecological responsibility.
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### Conclusion:
If Elon Musk's Starlink provides optimal support to Dr. Muhammad Yunus, it could accelerate the transformation of Bangladesh into a model nation centered on poverty eradication, women empowerment, and social business. By bridging the digital divide, Starlink could enable Dr. Yunus' vision to reach new heights, inspiring a global movement to redefine development and create a more equitable world. This collaboration would not only honor Dr. Yunus' six decades of groundbreaking work but also demonstrate the power of technology to drive social change.
YLNEXTDOOR: This group in Maryland - a few safe miles from the White Hpouse - is for sharing ideas on how anyone can double intelligence in next 5 years - don't get left out. I doubt chances to co-create intel will ever be as free again. This may be the greatest collaboration opporunity 8 billion peoples ever enjoy.
Peoples and places will win wherever education is changed from examining to helping each other multiply intelligences. This isnt a new idea but we now have up to a quintrillion times more tech than the days of slide rulers in my high school.- i know some folk who have been playing with small steps as well as giant leaps for over 50 years. The more the world changes the more mmotional intelligence and mental health are integrat to start (subconscioulsy sensing) at the earliest.
As author Lois McGuire of Don't Be That Kid" reveals - this starts by age 8/9- don't be the kid that bullies, distracts, or selects who's in. From now on as soon as a child can read she or he should be choosing experiences not memorising (the kind of factoids machines can now deliver). Moreover as the Lancet has argued for most of this millennium, one of the great missing curricula is peer to peer pre teens health. Translating in any joymaking way is something every community's diversity needs everyone to help do now. Arts and crafts are as important to play as sports or fashion design. We can help chats get deeper in seeing every loving action - if we don't those chats will get more and more superficial. We are in the first school year that every device including personal computers - is being redesigned around AI. For example, of like me you are not good at filing notes, ai isnt doing you much good until it helps with that more than selling you stuff. Real curiosity is also the way to innoculate you and yours from being marooned by fake news.
.welcome - pls click here if you want to start at top of blog of AI and UN goals superstars
Can you remind me who started the proyein folding data competition whiich Hassabis deep mind eventually won with alphafold?
The protein folding data competition that DeepMind won with AlphaFold was the Critical Assessment of Structure Prediction (CASP). This biennial competition was founded in 1994 by John Moult, a computational biologist at the University of Maryland.
CASP has been a driving force in advancing protein structure prediction research, and DeepMind's breakthrough with AlphaFold has significantly accelerated progress in this field.
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.
Wednesday, September 4, 2024
Jensen &
with cloud data providerrs service pklus snwflake ...
with big 5 amazin google facebook apple microst
24/9 c-span Energy, Grid AI Games, Gov as Ai Practitioners, Supercomputer revolution year 31 (deepst data fastest configuration); Digital Twin
with personal agent - eg classrrom smartspecs for all
24 Full tech map from 1993 -with coder interviewer
cuda from start; cuda world class unis from 2010
with pixar usd from 2016?
rtendering with eg adobe
with artist rights Getty - museum modernn art 3d design
with robotics metaverse - both ways in 2d-3d - eg medics planning 3 d operation from 2d data scan; get this safe before autonomous
with indutsry sectors - chose driverless cars earlyn as ultimately this sets standard for mobile roboit safety
with data supliers snowflake service plus databricks salesforce
with women ai and ed for all - fei-fei melinda gates; (king with salesfirce)
with bipartisan congrsss team c-span
with startups
with suppliers oc mobile worksation
with cloud data providerrs service pklus snwflake ...
with big 5 amazin google facebook apple microst
with earth2.0 - digital sovereignty of vital mations taiwan, king charles ai partners, barbados mia mottley, weatgher comoany and IBM
clara - life science ai , with inspirartion hassabis, with recursion - valley companies likely connectingh CZI opriscila chan, jennifer doudna noobell prize crisR
Koller latest biotech compana after NG' co-founder corsers
09/24 Gemini please tell me about the head of softbank? Would it be true to say that he has kept investments un AI going through AI winter as well as now from the visionary (even the data sovereignty) viewpoint of Japan?
Masayoshi Son, the visionary founder and CEO of SoftBank, has indeed been a key figure in the AI industry, particularly in Japan. He's often credited with persisting through the AI winters and maintaining significant investments in AI companies.
Key points about Masayoshi Son and his role in AI:
Visionary Leadership: Son has a long-standing belief in the transformative power of technology, especially AI. He has consistently invested in AI companies, even during periods of skepticism and economic downturn.
SoftBank Vision Fund:One of the most notable examples of Son's commitment to AI is the SoftBank Vision Fund.This massive investment fund has poured billions of dollars into AI startups worldwide, fueling innovation and growth in the sector.
Data Sovereignty: While Son hasn't explicitly emphasized data sovereignty in his public statements, his focus on Japanese technology and innovation aligns with a broader national desire to maintain control over data and technology within the country.
In conclusion, Masayoshi Son's unwavering belief in AI and his willingness to invest heavily in the field have played a crucial role in shaping the AI landscape, particularly in Japan.His visionary leadership and long-term perspective have helped to ensure that AI remains a priority for SoftBank and the nation.
Is Masa Son (softbank leader) leading design of a Japanese LLM? If not which do you see as leading Japanese LLM and which AI genii are assembling it?
Gemini: Masa Son and Japan's LLM Landscape
While Masa Son and SoftBank have a significant influence on the Japanese tech landscape, they haven't been directly leading the design of a major Japanese LLM.
However, SoftBank has been actively involved in the AI space through investments and partnerships. They have invested in various AI startups and research institutions, potentially contributing to the development of Japanese LLMs indirectly.
Several Japanese companies and research institutions are at the forefront of LLM development:
NEC:NEC Corporation, a major Japanese technology company, has been actively researching and developing LLMs.They have focused on applications in various industries, including customer service and document summarization.
NTT: Nippon Telegraph and Telephone Corporation, another major Japanese tech player, has been involved in LLM research. Their focus has been on developing LLMs for specific use cases, such as natural language processing in telecommunications.
RIKEN:The RIKEN Institute, a Japanese research organization, has been involved in AI research, including LLMs. Their efforts have often been focused on fundamental research and academic contributions.
While specific individuals may not be as publicly recognized as their counterparts in the West, many Japanese researchers and teams are contributing to LLM development. These individuals often work within the aforementioned companies, research institutions, or universities.
Note: The landscape of LLM development is rapidly evolving, and new players may emerge. It's essential to stay updated with the latest developments in the Japanese AI ecosystem.
Would you like to know more about specific Japanese AI research institutions or LLM projects?
i would like to understand leading edge advancements of tech and AI in 3 countries -Japan, Korea S, Taiwan- both unique contributions and where their shared sme supply chains (and eg own language events with eg Nvidia including representation in cuda universities of excellence) may have advanced more than the sum of their parts. Because my father Norman Macrae surveyed consider Japan in The Economist 1962 (approved by both JFKennedy directly and advisers to Prince Charles and Japan Emperor family) we know quote a lot about 20th C development but can you help particularly with accelerating AI good in 21st C Japan, Korea, Taiwan? Dad's work was recognised in UK with CBE and Japan with Order of Rising sun with silk ribbon and gold bars
Gemini Accelerating AI Innovation in Japan, South Korea, and Taiwan
Unique Contributions and Synergies
These three East Asian nations have made significant strides in AI, each with its own unique strengths and contributions. Their close geographic proximity, shared cultural influences, and strong economic ties have fostered collaboration and accelerated innovation.
Japan
Robotics and Automation: Japan has a long-standing reputation in robotics and automation, which has provided a solid foundation for AI development. This expertise has been applied to various fields, including manufacturing, healthcare, and service industries.
Natural Language Processing (NLP): Given the complexity of the Japanese language, Japanese researchers have made significant advancements in NLP. This expertise is invaluable for applications such as machine translation, sentiment analysis, and chatbots.
Hardware Development: Japan's strong electronics industry has contributed to the development of specialized hardware for AI, such as GPUs and AI accelerators.
South Korea
Semiconductors and Electronics: South Korea's dominance in the semiconductor industry has provided a competitive advantage in AI development. The availability of high-performance computing resources has enabled researchers to train and deploy large-scale AI models.
Internet Infrastructure: South Korea has a well-developed internet infrastructure, which has facilitated the growth of AI startups and research institutions.
Government Support: The South Korean government has actively supported AI development through funding, policy initiatives, and talent cultivation programs.
Taiwan
Manufacturing Excellence: Taiwan's world-class manufacturing capabilities have contributed to the development of AI hardware and components.
Research and Development: Taiwanese universities and research institutions have made significant contributions to AI research, particularly in areas such as computer vision and machine learning.
Collaboration with International Partners: Taiwan has actively collaborated with international partners, including the United States and Europe, to advance AI research and development.
Shared Strengths and Synergies
Strong Supply Chains: The close economic ties between these countries have resulted in strong supply chains for AI components and hardware. This has enabled them to efficiently develop and deploy AI solutions.
Language and Cultural Similarities: Shared language and cultural similarities have facilitated collaboration and knowledge exchange among researchers and developers in these countries.
Talent Development: The educational systems in Japan, South Korea, and Taiwan have produced a large pool of talented AI researchers and engineers.
The Role of NVIDIA and Cuda Universities
NVIDIA's Cuda Universities program has played a crucial role in accelerating AI development in these countries. By providing access to advanced computing resources and training programs, NVIDIA has helped researchers and developers to train and deploy large-scale AI models.
Conclusion
The unique contributions and synergies among Japan, South Korea, and Taiwan have positioned them as global leaders in AI innovation. Their strong supply chains, talent development, and government support have enabled them to accelerate the development and deployment of AI solutions.
Would you like to explore any specific areas of AI development in these countries, such as healthcare, finance, or manufacturing?
I would like to explore any practice area where these countries have been good /deep partners in UN or world bank sustainability goals. When it comes to investment do they see any investment network eg Asian Development Bank as representing their synergetic inspiration? If also like to understand these countries connections with eg silicon valley as it seems the whole pacific and asean design of human intelligence has characteristics/vioson that are co-creatively (inter-generationally) different than Atlantic region
GEMINI:
Collaboration on Sustainability Goals and Investment Networks
UN and World Bank Partnerships
Japan, South Korea, and Taiwan have been active participants in the UN and World Bank's sustainability goals. Here are some notable areas of collaboration:
Climate Change: All three countries have been involved in initiatives to reduce greenhouse gas emissions, promote renewable energy, and adapt to the impacts of climate change. They have contributed to international funds and participated in climate negotiations.
Sustainable Development Goals (SDGs): These countries have implemented national strategies to achieve the SDGs, focusing on areas such as poverty reduction, education, healthcare, and gender equality. They have also supported international efforts to achieve the SDGs.
Disaster Risk Reduction: Given their geographic location, these countries have experience in disaster risk management. They have shared their expertise and supported international efforts to build resilience to natural disasters.
Investment Networks
The Asian Development Bank (ADB) has been a key platform for investment and development in the region. It has supported projects in infrastructure, energy, agriculture, and social development. While not exclusively representing these three countries, the ADB has played a significant role in fostering regional cooperation and development.
Connections with Silicon Valley
The AI ecosystems in Japan, South Korea, and Taiwan have increasingly connected with Silicon Valley. This has led to collaborations, investments, and knowledge exchange. While there are differences in cultural and business practices, there is a shared interest in developing innovative AI technologies.
Unique Perspectives and Visions
The AI ecosystems in the Pacific and ASEAN regions do have distinct characteristics compared to the Atlantic region. Some key differences include:
Cultural Values: Asian cultures often prioritize harmony, collectivism, and long-term perspectives, which can influence AI development and ethics.
Government Involvement: Governments in the Pacific and ASEAN regions often play a more active role in AI development, shaping policies and providing support.
Focus on Specific Applications: AI development in these regions is often driven by specific applications, such as agriculture, healthcare, and smart cities.
These differences can lead to unique perspectives and visions for AI development, potentially resulting in innovative solutions that address local challenges and opportunities.
Would you like to explore any of these topics in more detail, such as specific AI applications or the role of government in AI development in these regions?
Yes very interested un these topics- you suggestion of role of government in AU looks particularly exciting for millennials intelligence needs. I was hoping that the King Charles initiated AI world series Bletchley-Korea-Paris would build on this from Korea; for various reasons the pan-asia opportunity to contribute to AI world series 2 may was not easy to see; I am hopeful this can change after Paris hosts AI world series January 2025; Osaka Expo can be an idea opportunity; its a pity that Abe is no longer around- you could say that "Osaka Track" started conversation on translational deep data sharing and soc5.0 reminded world economic forum designer of 4th industrial revolution that peoples would need to be educationally linkedin to diversity of societal consequences (ie how local can deep data sovereignty get particularly if green world models necessarily reach out to root diversity -eg are culture, language truly/openly represented in biggest ai models as well as in governance )
chrismacrae.comyoutube washington dc email chris.macrae@yahoo.co.uk linkedin 9500 skype chrismacraedc co-author with The Economist's Norman Macrae 1984's 2025Report - 40 years to transform education and save our species
