INTELLIGENCE GUIDE OF NATIONS (soft launch)
new world (dis)order - President of Finland, Alexander Stubb -- Fall 2024
help 2025Report: update brainpoweers (human and agentic) most curious pdfs : 1 timeless blogs ED EJ EW CU PM Diaries Neumann ning ... started at the Economist with Von Neumann in 1951. Neumann-Einstein-Turing (NET) anticipated intelligence agency around 10 times bigger cake of health*wealth uniting millennials and 21st C generations. celebrating intelligence machines with billion times more mathematical brainpower than separate human brains
Shall we map how to win-win apply AI billion times greater mathematical brainpower to agent livelihoods millennials most need to generate. Computational architecture (eg Jensen Huang Partners), Space's data mobilisation (eg Musk partnerships) have given us billion times greater mathematical tools than human brains. Partners of Hassabis and Lecun have demonstrated this. Alphafold3 did billion years of human work in one year to open source natures 250 million proteins. This is just one of Einstein's maths puzzles first published in 1905 e=mcsquared.
Macron Tours paris VivaTech2025, Joins Nvidia's Jensen Huang & Mistral's Mensch - Summer 2025
Help with All Teachers & Students Need is Attention Quiz- which country manufactured Nvidia's first GPU chip in 1994?
What the world needs now is every country's most openly curious leaders and youthful brains valuing humanity's win-win energies. Note how President Macron also asked Jensen Huang what advice he gives to hyperscalers. He said that wasn't his job but he would love to help eg Europe's 100+ public broadcasters design media which celebrates agentic ai's transformation of education and community trustflows. Intelligence superstars need as much celebration as sports or pop.
See footnote on hundreds of partners of HHML mapping how to link in every hemisphere as well as who's been designing engineering aligned to advances on computer and brain celebrated by Neumann-Einstein-Turing alumni.
rsvp chris.macrae@yahoo.co.uk bethseda MD
IN USA, DC stages 2 most curious intelligence summits at national convention center- Junes's sponsored by former google ceo schmidt, and Octobers connecting all of Jensen Huangs deepest partners. We could also study relationships with national and millennial data sovereignty between 25X energy more efficient suoercomputers _ help map these starting with USA two Doudna and Colossus as well as well as first billion times greater maths brains out of Taiwan, Arabia, Japan, UK, France, India .. any 2 places you would like to digital twin win-win millennial generation's energies around.
Given that becoming an engineering wizard requires as much action learning as a musician or sportstar, groc is interested to see which place ends US equivalent of $100.000 student debt; if Indian Ai is so good that it connects with asean then we may expect $100,000 universities to become main national disadvantage. Grok3 went on a concerned reporting rampage with 50 reasons why its ignorance to make college students your largest debt class ask chris.macrae@yahoo.co.uk if you want a copy (its messy but truly concerning if you care about how either teachers for students spend their time.
At the very least any university with a future might share induction moocs linking undergrads of sdg ai. The truth is millennials have now been greenwashed for 25 years by olders with millennium and sd goals which politi8cains never actually financed. Agentic AI is as far as reasoning chats can see the only chance to scale community changes which need transgeneration scaling now.
INDIA ai vision is full stack ai including maximising local aps at the edge linking in universal identifier potentially making egov simplest in world.
SAUDI IMEC Have you heard of IMEC - a digital mainly overland trade and infrastructure corridor connecting mumbai to marseille via saudi and middle east. Now is time for saudi and uae ai to choose their sovereign future.
Perversely 1970-1995 was a miraculous time when nearly a billion asian village women in tropical climates peer to peered word of mouth solutions to this acronym for what un currently SDgoals 1-7 IN SHE(LF)F WE TRUST - decode this with
- S=goal 5 community safe for women/family to develop local businesses where value stays mainly in community
- H=goal 3 affordable health so no child or mother dies before their time
- E - goal 4 livelihood education linked to 4 billion lives millennials need to sustain on earth let alone to value nature's diversity of species
- LF=land financing - this is a problem where empires handed nations over to the people but property was not; this problem has been exaggerated in any city where taxes reward people in speculating in more than one home
- F=2 first mile food; actually slow-cooked nutritious local food recipes can be one huge source of jobs and a main way to end both obesity and stunting- medics can tell you if a child does not get sufficient nutrition and clean dehydration during first 1000 days its likely neither body nor brain will develop fully and this lack can pass through generations
- WE = goals 6 Water, 7 renewing energy as an exponential human race
EJ In 2019 not only was Modi asking Jensen Hiang to pre-train his cabinet but UK arm, nvidia and JAPAN softbank were all co-visioning. If it hadn't been for covid decimating some of Masa Son's investments Japan would have been on world stage with AI Youth needed most, with olympics, also helping organise saudi ai portfolio, and reconnecting all of the far east coast smartest sme supply chains . We also believe the late great PM Abe was spot on in hosting 2019 g20 summit ; he launched osaka track -what data should trusted nations share eg all cancer data so that this 90% data preventable disease is mapped everywhere. Also because of Japan's elderly bias japan wanted to help gravitate ai solutions across generations maximising both service to elders (a likely opportunity for humanoids) and youth wizards including elders needs in scaling what intelligence engines prioritise
Those who have ever watched Japans national broadcasters news channels may marvel at how many dozens of community scaling solutions are celebrated each month as a pan asian celebration. So here's grok3 second part on why nvidia partnering with 101 public broadcasters across Europe could propel the greatest media celebrations ever
NVIDIA’s Partnership with the European Broadcasting Union (EBU)Overview: Announced at NVIDIA GTC Paris at VivaTech in June 2025, NVIDIA’s collaboration with the EBU, the world’s leading alliance of public service media with over 110 member organizations across 50+ countries, aims to advance sovereign AI and cloud frameworks for European public broadcasters. This partnership focuses on creating equitable, accessible, and resilient media landscapes by leveraging European cloud infrastructure and AI services that comply with European data protection, privacy rules, and values. It emphasizes public trust, workforce development, and an AI ecosystem tailored to European needs, ensuring data sovereignty and cultural identity preservation. Use Cases (Based on Available Information): The search results provide limited details on specific, implemented use cases as of August 31, 2025, as the partnership is still in its early stages, focusing on framework development. However, the following are highlighted or implied applications:
- Sovereign AI Frameworks: The EBU, with NVIDIA’s technologies (e.g., NVIDIA GB200 Grace Blackwell Superchip, RTX PRO Servers, DGX Cloud, Holoscan for Media), is building AI and cloud systems governed by European policies. These frameworks ensure that public broadcasters maintain control over their data, avoiding reliance on non-European tech giants. For example, local data centers are being developed to support secure, energy-efficient AI training, enabling broadcasters to process content while adhering to GDPR and European values.
- Workforce Development: The partnership supports training EBU members’ staff to use AI tools, enhancing their ability to create innovative media content. This includes upskilling journalists and producers to leverage AI for storytelling, audience engagement, and content personalization, fostering resilience in public media.
- AI-Driven Media Production: NVIDIA Holoscan for Media, used by Telestream (showcased at a 2025 media event), enables cloud-native waveform monitoring, replicating broadcast center capabilities. This allows European broadcasters to transition to cloud-based workflows, improving efficiency in live broadcasts and content editing.
- Public Trust and Accessibility: By prioritizing sovereign AI, the partnership aims to deliver media services that align with European cultural identities, enhancing trust. For instance, AI can personalize content for diverse audiences (e.g., multilingual broadcasts) while ensuring data privacy, reaching the EBU’s audience of over 1 billion.
- Potential Applications: While not explicitly detailed, the partnership could involve:Automated Content Moderation: AI to detect misinformation or harmful content, ensuring trustworthy public media.Hyper-Personalized Broadcasting: Using NVIDIA’s AI tools (e.g., NeMo for generative AI) to tailor news or educational content to local communities, supporting SHELFF’s Education and Health pillars.Archival Access: Similar to NVIDIA’s work with the National Hockey League (VAST InsightEngine), AI could enable instant access to vast media archives for European broadcasters, enhancing historical content delivery.
Let's have a look at longer guides to (my admittedly biassed 2 most inspiring places as far as von neumann's vision of billion times more maths brainpower designing win-win trades open tech empowering 10 times more health and wealth for all.
ED: TAIWAN. In 1987 Taiwan innovated chip foundries. IN 1993, Nvidia started up Valley & Island's deepest intelligence networks. Today, some of Taiwan's unique foci: Nvidia is partnering with Foxconn, TSMC, and the Taiwanese government to build an "AI factory" supercomputer to boost Taiwan's local AI ecosystem by providing high-performance computing for AI development, scientific research, and industrial innovation, including for its own semiconductor research. The goal is to strengthen Taiwan's AI industry and create a "smart AI island" by offering cloud-based AI resources to local companies, startups, and researchers.Purpose of the Supercomputer:Accelerate AI Research and Development:.The supercomputer will be used to provide powerful computing resources for AI model training and research across various sectors, such as healthcare, education, and climate science.Support Scientific Research:.It will also be leveraged for advanced scientific computation and research, including climate modeling and the development of large language models.Boost Semiconductor Innovation:.TSMC, Taiwan's leading semiconductor manufacturer, plans to use the system to accelerate its own research and development in chip technology.Foster an AI Industrial Ecosystem:.By offering accessible AI cloud computing resources, the project aims to support the growth of startups and businesses within Taiwan's AI industry.Enable "Sovereign AI":
King Charles AI World Series Summit Edition 1 Bletchley Nov 2023
we are witnessing one of the greatest technological leaps in the history of human endeavor the rapid rise of powerful artificial intelligence is considered by many of the greatest thinkers of our age to be no less significant no less important than the discovery of electricity, the splitting of the atom, the creation of the worldwide web or even the harnessing of fire
AI holds the potential to completely transform Life as we know it; to help us better treat and perhaps even cure conditions like cancer heart disease and Alzheimer's to hasten our journey towards net zero and realize a new era of potentially Limitless clean green energy even just to help us make our everyday lives a bit easier
however if we are to realize the untold benefits of AI then we must work together on combating its significant risks; too AI continues to advance with ever greater speed towards models that some predict could surpass human abilities , even human
understanding; there is a clear imperative to to ensure that this rapidly evolving technology remains safe and secure and because AI does not respect International boundaries this Mission demands International coordination and collaboration.
To support this Global effort the United Kingdom is proud to host this Summit in Bletchley Park the birthplace of modern Computing where Alan Turing famously cracked the Enigma code and laid the foundations for a new digital age. Transitions like the one AI is heralding always presents profound challenges especially in preparing for unintended consequences; it is incumbent on those with responsibility to meet these challenges to protect people's privacy and livelihoods which are essential to both our economic and psychological well-being to secure our democracies from harm and to ensure the benefits of new technology are shared by all. I've always believed in the importance of holding a conversation both within and across societies to address such great challenges of bringing governments in the public sector together with civil society and the private sector in that conversation adhering to the values tenants of faith and laws that we all held so dear. That is how the International Community has sought to tackle climate change to light a path to Net Zero and Safeguard the future of our planet we must similarly address the risks presented by AI with a sense of urgency unity and Collective Strength so on behalf of the United Kingdom I want to thank you all for the vital role you are playing in this shared Endeavor for laying the foundations of a lasting consensus on AI safety and for ensuring that this immensely powerful technology is indeed a Force for good in this world
next wizard engineering parmers races may include
20th c intelligence leaps - western viewpoint
today know what partners of engineers Huang Hassabis Musk & Lecun have compounded - since 1990s (million fold deeper computing times million fold satellite data distriution between local communities and global clouds)
mid 1950s to early 1990s - million fold multiplier of chips microelectronics engineering
know pacific win-win stories:
west coast usa intel and moore's law valley venture capital of alumni of stanfird and of cal state unis originated at berkeley
far east of asia japan korea south, singapore (LK Yew) hong kong (LK Shing) - in middle of both taiwan (Li Guo & Chang)
steve jobs as open bridge to HHML
geneva (switzerland to late 1980s- standards of telecoms and electricity transferred not wholly successfully to east coast - berners lee mit, UN ny
first half of 20th C NET neumann einstein turing -
JFkennedy and royal families of UK and Japan as bridge between NET who died mid 1950s and take off moores law and satellites and computers 1963-5
this is a western view - fuller eastern and southern view of who millennials need to trust next need more mapping
Architects of Intelligence Partnerships- from 1989 we published architecture genre of visionary leading partners - eg Economist Intelligence Unit - Brand Architecture Chartering. Today we help generations map deepest Agentic AI partnerships
- Nvidia Huang:US 1 ::2 & Berkeley:Taiwan:India:EUPublic tv:UK:Japan:France;Saudi Deep Mind
- Hassabis
- Yann Lecun
- Elon Musk what's on at colossus? grok3 reply
Musk 25X energy more efficient nvidia supercomputer --The supercomputer "Colossus" in Memphis, built by Elon Musk's xAI with hardware from Nvidia, is dedicated primarily to training advanced AI models like xAI's Grok chatbot. Its unique purposes stem from its massive scale, speed, and specific design for handling the deep learning workloads required for cutting-edge AI.Deep data purposes for ColossusTraining large language models (LLMs): The immediate, primary purpose of Colossus is to train xAI's Grok family of LLMs. The supercomputer's 200,000+ Nvidia Hopper GPUs allow for the processing of a massive dataset, which is necessary to create more powerful and capable AI chatbots.Scientific discovery: xAI's stated mission is to use AI to "accelerate human scientific discovery" and advance our understanding of the universe. This could include a variety of deep data applications:New material discovery: Simulating the properties of new materials to accelerate development for various industries.Drug research: Analyzing complex biological and genomic data to identify new drugs and develop personalized medicine.Climate modeling: Creating complex simulations for environmental research and predicting climate change impacts.Autonomous systems and robotics: Colossus is designed to extend AI beyond language models and into the physical world. This includes training AI for autonomous machines and robotics, which requires processing vast amounts of sensor data in real-time.Data hub for X and SpaceX: The supercomputer is expected to serve as a high-speed data processing hub for Musk's other companies. This includes X (formerly Twitter) and SpaceX, which need advanced AI for tasks like data analysis, satellite operations, and other proprietary data tasks.Advancing deep learning research: Colossus's sheer power will be used for cutting-edge AI research beyond Grok. This includes machine learning and neural networks that push the boundaries of what is possible.Advantages of the Colossus supercomputerExtreme scale and speed: The supercomputer was built in a fraction of the time of a typical data center of its size. Its initial 100,000 GPUs were ready for training in just 19 days, giving xAI a major advantage in the AI race. The cluster has since expanded to 200,000 GPUs, solidifying its position as one of the world's largest AI training systems.High energy efficiency: While supercomputers are known for high energy consumption, Colossus uses advanced liquid cooling from Supermicro to minimize energy use and reduce environmental impact. The use of Tesla Megapack batteries also ensures consistent and resilient energy delivery.Specialized hardware and software: With hardware partners Nvidia and Supermicro, the system is fully optimized for AI workloads. It uses Nvidia's Spectrum-X Ethernet networking platform for high-speed, low-latency data transfer between the thousands of GPUs, preventing performance degradation during complex training sessions.
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