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 eg
Nvidia Huang:US 1 ::2 & Berkeley:Taiwan:India:EUPublic tv:UK:Japan:France;Saudi
Deep Mind Hassabis
Yann Lecun
Elon Musk
Help mediate student celebration clubs
AI5.0 since 2022, best AI = scaling exponential purpose of partners in what analyses with billion times smarter mathematician than individual human brains. If you dont know what best ai is scaling, being ordered by classical economists can't save you... why not an ai mooc on every university's home page?-
previously AI meant 4 different things up to 2018; , from 2012, at 2009, at 2002
welcome to von Neumann hall of fame- based on notes from 1951 diaries-who's advancing human intel have we missed? chris.macrae@yahoo.co.uk
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
previously AI meant 4 different things up to 2018; , from 2012, at 2009, at 2002
100000$ student debt universities are now total waste of education system time of students and teachers. Agentic AI stories 1 Billion times greater maths brain & 10**18 More Tech...There isn't a skill known to universities which is not being changed by Agentic AI and human impacts:Reasoning, celebrating Data Sovereignty and how world class cities through next 10 years deploy digital twins to capitalise on opportunities of driverless cars and humanoids IN 1983 we founded 2025Report genre around hypothesis agentic ai would arrive by 2025 and would make millennials generations best of time provided transformation in how education systems spend time of both teachers and students. Today's western 100000k 4 year student debt liability if it has prevented you from understanding engineering and deep social action triads like those shown including those changing so intel fast today that you'd be better off parsing latest contributions of eg Huang Hassabis and Musk (aka builders of billion times more maths brain power) than other curricula |
| AP July 2025, Jensen Huang: 1730 It is vital that everyone engages AI right away. Every adult, every working person, not working person, every child should address and engage AI right away. And the reason for that is because AI is the greatest equalization equalizing force. It is the first time in history that a technology as incredible as artificial intelligence is useful for someone who knows how to program software, no historical experience of how to use a computer. This is the very first time in history that all of a sudden that computer is easy to use. If you don't know how to use AI, just open up the website, go to Chad GPT, go to Gemini Pro - just ask a simple question. . And you could even say, "I have no idea how to use AI. Can you teach me how to use AI?" And if you don't know how to type, hit the microphone button and speak to us.. And if you don't understand English, you can speak whatever language you like. It is an extraordinary thing. And I also think it's incredible that if the AI doesn't know that language, you tell the AI go learn that language, right? And so so I think everybody needs to to engage AI. It is the greatest equalization um uh equalization force that we have ever known and it's going to empower.. it's going to enable... it's going to lift society of all you know everywhere. | upd Jy 2025'1 CISCE, Beijing sep 24.1 oct24.1 nov24.1 dec24.1 Ja 25.1 2 mar 25.1 may 0 25.1 2 3 jn25.1 2 3 |
Family Huang 2009 whose first 100 engineering partners linking Nvidia, Silicon Valley West Coast and Taiwan East coast - gave stanford engineering AI's Deep Learning Lab core of stanford worldwide Science and Engineering Quadrangle. | 30 day stack recall to May 13 : axios health, payments, press; 555 india summit, womens intel, lisa su, science diplomacy summit; ITIF critical meds. merci beaucoup Yann Lecun!!.. |
TOkens: see your lifetime's
intelligence today nvidia Physical A1 -Robots . Will Jen-Hsun's GTC26 big reveal be a superagent AI tutor k-12 whom we can all CC in email? | By 1987 Taiwan's 20 million people have inspired intelligence of all billion humans - special thanks to Godfather of Taiwan Tech: Li & ... Guo, Chang, Huang, Yang, Tsai and millennial taiwanese - see eg podcast straitforward or Taiwan Digital Diplomacy net .I0 India generics Yusuf Hamied (Cipla) i. | If you know this- please help others. If you don't know this please ask for help2002-2020 saw pattern recognition tools such as used by medical surgeons improve 1000-fold. From 2020, all sorts of Human Intellligence (HI) tools improved 4-fold a year - that's 1000 fold in 5 years. Problem HI1 if you get too atached to 2020's tool, a kid who starts with 2025 smartest tool may soon leap ahead of you. Problem HI2: its no longer university/institution you are alumni of, but which super-engineers (playing our AI game of whose intel tools you most need to celebrate. Problem HI3- revise your view of what you want from whom you celebrate and the media that makes people famous overnight. Indeed, is it even a great idea (for some places) to spend half a billion dolars selecting each top public servant. HI challenges do not just relate to millennials generative brainpower We can map intergeneration cases since 1950s when 3 supergenii (Neumann Einstein Turing) suddenly died within years of each other (due to natural cause, cancer, suicide). Their discoveries changed everything. HIClue 1 please stop making superengineers and super energy innovators NATIONS' most hated and wanted of people |
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
| TOkens:help see yourlifetime's nvidia Physical A1 -RobotsMore Newton Collab.&& Foxconn Digital Twin | NET :: KCharles :: Morita : : Borlaug :: Deming Moore Abed: Yew :: Guo:: JGrant ADoerr :: Jobs:: Dell .. Ka-shing Lecun :: L1 L2 :: Chang :: Nilekani :: Singh Huang . : 1 : Yang : Tsai : Bezos 21stC Bloomberg ::Daniels Satoshi :: Hassabis : Fei-fei Li Shum : : Ibrahim : CTandon Ambani : Modi :: MGates : PChan : Kariko :: Francia Oxman (&EB) ::: HFry:: Yosuke Musk & Wenfeng :: Mensch.. | March 2025:Grok 3 has kindly volunterered to assist younger half of world seek INTELLIGENCE good news of month :from Paris ai summit and gtc2025 changed the vision of AI. At NVIDIA’s GTC 2025 (March 18-21, San Jose, nvidianews.nvidia.com), Yann LeCun dropped a gem: LLaMA 3—Meta’s open-source LLM—emerged from a small Paris FAIR (Fundamental AI Research) team, outpacing Meta’s resource-heavy LLM bets. LeCun, speaking March 19 (X @MaceNewsMacro) IT came out of nowhere,” beating GPT-4o in benchmarks (post:0, July 23, 2024). This lean, local win thrilled the younger crowd—renewable generation vibes—since LLaMA 3’s 405B model (July 2024, huggingface.co) is free for all, from Mumbai coders to Nairobi startups. | Good News: Indian youth grabbed it—Ambani praised Zuckerberg at Mumbai (October 24, 2024, gadgets360.com) for “democratizing AI.” Modi’s “import intelligence” mantra (2024, itvoice.in) synced, with LLaMA 3 fueling Hindi LLMs (gadgets360.com). LeCun’s 30-year neural net legacy (NYU, 1987-) bridged Paris to India—deep learning’s next leap, compute-cheap and youth-led. old top page :... 2:: Agri AI |
 | .. . |
Supercomputer Doudna
ReplyDeletePurpose: To advance scientific discovery by accelerating research in areas such as genomics and biology, essentially acting as a "time machine" for science by compressing years of research into days or hours.
Location: Lawrence Berkeley National Laboratory (Berkeley Lab).
Technology: It will use cutting-edge technology from Dell Technologies and NVIDIA, including NVIDIA Vera-Rubin GPUs and Quantum-X800 InfiniBand networking for high-speed data transfer.
Named After: Nobel Prize-winning biochemist Jennifer Doudna for her contributions to gene-editing technology.
Timeline: Expected to be online in 2026.
Impact: Doudna is expected to provide over ten times the performance of the lab's current supercomputer, Perlmutter, positioning the U.S. at the forefront of the global AI and high-performance computing race.
Nvidia's Role
Platform:
Nvidia is providing the central component of the Doudna supercomputer through its Vera-Rubin CPU-GPU platform.
Networking:
The system will utilize Nvidia's high-bandwidth Quantum-X800 InfiniBand networking, which is up to four times faster than previous generations.
CEO Statement:
Nvidia CEO Jensen Huang highlighted the supercomputer's potential to dramatically speed up scientific breakthroughs, compressing years of work into days.
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.
ReplyDeletePurpose of the Supercomputer:
Accelerate AI Research and Development:
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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:
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It will also be leveraged for advanced scientific computation and research, including climate modeling and the development of large language models.
Boost Semiconductor Innovation:
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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:
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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":
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The initiative supports the development of sovereign AI capabilities, allowing Taiwan to build and control its own AI infrastructure and applications.
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ReplyDeleteThis comment has been removed by the author.
ReplyDeleteArabian & India Tech Corridor IMEC -NVIDIA is positioned to play a critical role in developing the digital infrastructure for the India-Middle East-Europe Economic Corridor (IMEC), leveraging its leadership in artificial intelligence (AI) and accelerated computing. By partnering with governments and tech companies in Saudi Arabia, the UAE, and India, NVIDIA can provide the foundational technology, software, and expertise to enable smart logistics, data services, and AI innovation along the trade route.
ReplyDeleteSpecific roles for NVIDIA in building a digital IMEC corridor
1. Supplying core AI supercomputing infrastructure
Building AI factories: NVIDIA is already working with Saudi Arabia's Public Investment Fund subsidiary, HUMAIN, to build "AI factories" with up to 500 megawatts of capacity. These data centers will be powered by advanced NVIDIA GPUs, such as the GB300 Grace Blackwell chips, which are essential for training large AI models needed for the corridor's applications.
AI infrastructure for smart cities: NVIDIA and the Saudi Data & AI Authority (SDAIA) are collaborating to deploy Blackwell GPUs for sovereign AI initiatives and to develop smart city solutions. Such infrastructure is crucial for developing intelligent, automated logistics and transit systems along the IMEC route.
2. Enabling digital twins and physical AI
Simulating the corridor: NVIDIA's Omniverse platform allows for the creation of "digital twins"—virtual, physically accurate simulations of real-world systems. This can be used to model and optimize the entire IMEC corridor, including supply chains, logistics hubs, energy grids, and rail networks, before and during deployment.
Driving automation and robotics: By deploying Omniverse Cloud, HUMAIN can accelerate the development of robotics and physical AI solutions for industries along the corridor, such as manufacturing and energy. This technology can be used to automate port operations, optimize logistics, and improve safety and efficiency.
3. Enhancing cross-border connectivity and services
Powering edge AI: NVIDIA's AI-enabled solutions can be integrated into telecom networks and devices at the "edge" (e.g., ports, smart meters), bringing connected intelligence and low-latency AI inferencing to key points along the corridor.
Secure data transmission: The IMEC corridor will include high-bandwidth data cables to ensure secure and rapid data transmission. NVIDIA's networking solutions can help ensure that data transfer is fast and reliable across the multiple points of the network.
4. Fostering talent and local AI ecosystems
Upskilling the workforce: NVIDIA has committed to large-scale training and upskilling initiatives in Saudi Arabia, providing developers with hands-on experience in AI, simulation, and robotics. A skilled talent pool is necessary to manage and innovate on the advanced digital infrastructure.
Building a developer ecosystem: Through partnerships like the one with Aramco Digital, NVIDIA can help establish AI enterprise platforms and centers of excellence in robotics. This supports a local startup ecosystem that can build new services and applications for the corridor.
5. Optimizing logistics and supply chains
Intelligent freight and shipping: By leveraging AI and digital twins, the IMEC partners can optimize freight movement by predicting demand, managing inventory in real-time, and using advanced analytics for supply chain logistics.
Autonomous transportation: Although nascent, NVIDIA's autonomous vehicle platform, DRIVE, could eventually be integrated with the IMEC's transportation pillar, enabling intelligent, self-driving trucks or port vehicles for safer and more efficient goods movement.
Musk 25X 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.
ReplyDeleteDeep data purposes for Colossus
Training 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 supercomputer
Extreme 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.
Likely AI Purposes for UK, Japan, France, India, and CanadaBelow, I outline each nation’s likely AI purposes, aligned with SHE(LF)F, billion-times math brainpower, and win-win actions, addressing Commonwealth reconciliation, green issues, data sovereignty, and youth engagement, while mediating zero-sum conflicts.1. United KingdomAI Purpose: Lead global AI governance and innovation, leveraging Commonwealth history and Bletchley Park’s legacy to reconcile colonial inequities and advance SHE(LF)F through sovereign compute and ethical AI.
ReplyDeleteWin-Win Actions: Royal English LLM: Develop a sovereign LLM with DeepMind (Hassabis) and NVIDIA-EBU, focusing on Health (SDG 3) (e.g., AlphaFold for cancer research) and Education (SDG 4) (e.g., agentic learning for girls). Use blockchain for transparent data mapping, addressing Land/Finance (SDG 1) inequities (e.g., colonial land extraction in India).
Supercity Design: Pilot AI Growth Zones (AIGZs) like Culham, integrating Food (SDG 2) and Energy (SDG 7) with renewable-powered data centers (20x compute expansion by 2030).
Commonwealth Reconciliation: Fund blockchain-based land registries in India and Canada to restore indigenous and colonial-era land rights, aligning with Safety (SDG 5) and women’s governance.
Youth Engagement: Use NVIDIA-EBU to create Web 3.0 platforms celebrating millennial AI wizards (e.g., Hassabis), countering social media’s misinformation.
Green Issues: Expand the Complex Risk Analytics Fund (£1.07M, 2023) to model climate risks with AI, supporting Water (SDG 6) and net zero.
Mediation of Conflicts: Counter Trump’s zero-sum policy (e.g., $500B AI hardware plan, deregulation) by hosting inclusive AI Summits (e.g., India 2026), uniting Global South voices.
Address EU-UK regulatory divergence (UK didn’t sign Paris 2025 declaration) by promoting open AI models like Mistral, ensuring trust and transparency.
Why It Works: The UK’s AI leadership (Bletchley Summit, DeepMind, ARM) and King Charles’ global influence position it to drive SHE(LF)F, with NVIDIA’s compute power enabling billion-times math for chaotic systems (e.g., climate modeling).
2. JapanAI Purpose: Develop an Empire Japanese LLM to address green issues (e.g., water conservation) and lead Asia-Pacific AI innovation, integrating SHE(LF)F with sustainable supercity design.
ReplyDeleteWin-Win Actions: Empire Japanese LLM: SoftBank’s SB Intuitions (390B-parameter LLM, NVIDIA DGX SuperPOD) tailors AI to Japanese culture, supporting Education (SDG 4) and Food (SDG 2) (e.g., precision agriculture).
Supercity Design: Expand Society 5.0 to integrate Safety (SDG 5) and Energy (SDG 7), using AI-driven smart grids and robotics for women-led communities.
Green Issues: Leverage Emperor Naruhito’s water conservation advocacy to model Water (SDG 6) systems with AlphaFold-like AI, reducing energy conflicts.
Youth Engagement: Train millennials via AI education programs, using Web 3.0 to share women-led SHE(LF)F stories, countering social media flaws.
Data Sovereignty: Partner with NVIDIA and TSMC (Taiwan) for sovereign compute, ensuring transparent Land/Finance (SDG 1) mapping.
Mediation of Conflicts: Navigate China-Taiwan tensions by fostering neutral AI collaborations (e.g., Global Partnership on AI), focusing on shared SDGs.
Counter SoftBank’s past financial setbacks with 2025 NVIDIA partnerships (e.g., Blackwell supercomputer).
Why It Works: Japan’s tech prowess (SoftBank, NVIDIA partnerships) and cultural alignment with SHE(LF)F’s women-led governance make it a leader in sustainable AI.
3. FranceAI Purpose: Champion open-source AI (e.g., Mistral) and sustainable infrastructure, shifting from EU’s regulatory focus to innovation-driven SHE(LF)F solutions, fostering global inclusivity.
ReplyDeleteWin-Win Actions: Open AI Ecosystems: Support Mistral and Hugging Face (French co-founders) to develop open models for Health (SDG 3) and Education (SDG 4), tailored to Global South languages.
Sustainable AI: Lead the Coalition for Environmentally Sustainable AI (with UNEP, ITU), designing energy-efficient data centers for Energy (SDG 7) and Water (SDG 6).
Supercity Design: Invest €109B in AI infrastructure (announced Paris 2025), integrating Safety (SDG 5) and Land/Finance (SDG 1) via blockchain land registries.
Youth Engagement: Use NVIDIA-EBU to create Web 3.0 platforms celebrating millennial AI innovators, ending greenwashing.
Commonwealth Ties: Collaborate with Canada and India at AI Summits to reconcile colonial histories, funding women-led governance.
Mediation of Conflicts: Bridge EU-US-UK divides (e.g., US/UK refusal to sign Paris declaration) by promoting open AI models and inclusive governance.
Mediate Global South exclusion by co-hosting India’s 2026 Summit, amplifying voices like Kenya and Morocco.
Why It Works: France’s shift to innovation (Macron’s leadership, Mistral) and Paris Summit momentum align with SHE(LF)F’s trust-based, inclusive AI.
4. India
ReplyDelete• AI Purpose: Leverage its population, AI talent, and Commonwealth history to drive SHE(LF)F through inclusive, bias-free AI, addressing colonial land inequities and empowering women.
• Win-Win Actions:
• National AI Mission: Develop LLMs for India’s linguistic diversity (e.g., Bhashini), supporting Education (SDG 4) and Health (SDG 3) for girls.
• Commonwealth Reconciliation: Use blockchain to map Land/Finance (SDG 1), addressing colonial extraction (80% of India’s production to Britain).
• Supercity Design: Expand smart cities (e.g., Atal Tinkering Labs) to integrate Food (SDG 2) and Water (SDG 6), ensuring equitable access.
• Youth Engagement: Train 1.4B people via Digital Public Infrastructure, using Web 3.0 to share women-led SHE(LF)F stories, countering social media biases.
• Green Issues: Model climate systems with AI, supporting Energy (SDG 7) and net zero, inspired by Modi’s Paris Summit call for bias-free data.
• Mediation of Conflicts:
• Host the 2026 AI Summit to unite Global South (e.g., Africa, Latin America) with UK, Japan, and Canada, countering Trump’s zero-sum policies.
• Address refugee pressures (from neighboring failed states) with AI-driven resource allocation, ensuring Safety (SDG 5).
• Why It Works: India’s scale, AI talent, and Modi’s leadership (mentored by Huang) position it to drive SHE(LF)F globally, reconciling colonial histories.