Intelligence city Amsterdam

soon ro celebrate 25 years as the hub of proramming in python 

Guido van Rossum began developing Python as a hobby project during the Christmas holidays, aiming to create an easy-to-read, high-level programming language to succeed ABC, a language he worked on at CWI. He named it after Monty Python’s Flying Circus, reflecting his sense of humor.

Where: The initial development took place in Amsterdam (top 50 intelligence city), specifically at CWI, a national research institute for mathematics and computer science. Van Rossum continued refining Python there, releasing the first version, Python 0.9.0, on February 20, 1991.

what else amsterdam:

i would never leave amsterdam olut of any kind of water ai; personally I am immemsdely grsateful to Dutch because Unilvever was in middle of most of my first 30 of 60 intelligence exchamnges with Asian people

my fav source of intelligence for poorest women empowerment fazle abed decided netherlands hague was best international home for his brac international trust - a catalogue of primarliy social businesses ownred in trust foor worldwide intelligenvce of women starting with priorities of connexting the 265 yrars of divides begun when scots invented artificial systems in 1760s. Dutch Royals can win-win with king charles and emperor Naruhito's sovereign ai inteligences and invitation to colaborate round ai world series

The Doutch might be expected to love biotech given that they trade new york with brits in belief that nutmeg was the most valuable trade in the world

Kings English AI

 purpose of AI World Series launched by King Charles Nov 2023

Purpose of deep mind ai - Demis Hassabis since 2009 and 1990s Cambridge

2025 help clarify Grok expectation of Kings English AI * **Action Plan**: Huang expanded NVIDIA’s UK technology centers to boost AI skills and deployed CUDA-Q on supercomputers for hybrid AI-quantum research. - **Unique Aspect**: He tied the UK’s principles-based AI regulation to his vision of safe, collaborative AI development through open franchises. chris.macrae@yahoo.co.uk

France Good AI

 2025 help survey grok view  In France, Huang outlined plans for Blackwell-powered AI factories and sovereign clouds across Europe. He’s collaborating with French telecoms to integrate agentic AI into national systems. - **Unique Aspect**: He positioned France as a leader in ethical AI and quantum computing, aligning digital twins with Europe’s sovereignty goals. chris.macrae@yahoo.co.uk

democratising AI's Liberty Egalite Fraternite/Sorority? Yann LeCun, Meta’s chief AI scientist, has long championed open-source AI models (e.g., Llama, Mistral) to foster diversity and democracy, arguing they enable nations to build sovereign AI systems tailored to their industries and cultures. He critiques LLMs for lacking reasoning and world understanding, advocating for “world models” (e.g., Joint Embedding Predictive Architecture, JEPA) that learn from observing the physical world, potentially leading to advanced machine intelligence (AMI) within a decade. LeCun sees open-source as essential for national data sovereignty, allowing countries to control their AI ecosystems.[](https://www.newsweek.com/ai-impact-interview-yann-lecun-artificial-intelligence-2054237)[](https://time.com/6694432/yann-lecun-meta-ai-interview/)[](https://www.forbes.com/sites/roberthart/2024/05/22/metas-ai-chief-ai-models-like-chatgpt-wont-reach-human-intelligence/) - **Vocational Relevance**: Meta’s approach supports vocational training by providing open-source tools (e.g., Llama) for coding and AI development, accessible to students globally. LeCun’s world models could enhance simulations for trades like healthcare or manufacturing, while Zuckerberg’s personal superintelligence envisions AI assistants guiding students in skills like programming, aligning with community needs. - **Key Features**: - **Personal Superintelligence**: AI tailored to individual learning needs. - **Open-Source Models**: Llama and Mistral enable global, sovereign AI development. - **Data Sovereignty**: Empowers nations to align AI with local industries. ### Comparison: Meta’s Approach vs. Huang’s Vision - **Similarities**: - **Democratization**: Both Meta and Huang aim to make AI accessible, breaking historical elitism. Zuckerberg’s “personal superintelligence” empowers individuals with tailored AI assistants, similar to Huang’s agentic AI tutoring

Macron one of first western leaders to ppow-wow with Xi Jinping in ai era 2025+

 Macron visit early december 2025 https://southchinamorningpost.cmail19.com/t/t-l-wlrkkjk-yhdyvjrv-y/

xuntil trump 1 from 2017 most world leaders visited xi and their conversations sourced interesting data sovereignty maps. Paer of trump's plan has to be to take back usa as world leaders number 1 partner

Women Empowerment & AI's greatest fan in India, Mrs Ambani

Jensen Huang and Mukesh Ambani on India AI

Modi on AI

2025 - help survey GROk view - **India** - **Action Plan**: Huang stressed India’s need for sovereign AI factories to harness its vast data and tech talent. He’s working with Indian cloud providers to deploy infrastructure for agriculture, healthcare, and more, emphasizing agentic AI. - **Unique Aspect**: He encouraged India to codify its diverse languages and cultures into AI models, democratizing access through open franchises chris.macrae@yahoo.co.uk

 India is prioritizing the use of Nvidia chips to build "sovereign AI" infrastructure to process data within its borders for various applications, particularly those involving India's diverse languages and public services. The universal population data itself is not explicitly mentioned as one of the first datasets to be "coded," but government and private initiatives will leverage non-personal datasets from various sectors to build foundational AI models. 

Key areas of focus for initial data processing and AI model development include:

• Indian Languages: A primary objective is to develop large language models (LLMs) and small language models (SLMs) trained on India's 300+ distinct languages and dialects to serve the large population. Tech Mahindra is using Nvidia's Hindi-language AI model to develop a custom model called "Indus 2.0," focused on Hindi and its dialects.
• Government Services (AI4Bharat): The AI systems are intended to enhance governance and public service access through initiatives like "2047: Citizen Connect" and "AI4Pragati".
• Sector-Specific Data: Core datasets for a national AI platform (AIKosha) are being contributed by ministries related to agriculture, weather forecasting, and Bhashini (the national language technology mission).
• Healthcare and Legal Tech: Generative AI is expected to have a profound impact on industries like healthcare for personalized medicine and legal tech for document analysis.
• Enterprise and Research: The new AI factories are intended to support large businesses, startups, and research centers running AI workloads in the cloud and on-premises for applications like digital content creation and financial services. 

The emphasis on data sovereignty is to ensure that AI models are trained on local data under Indian rules, preventing foreign entities from exploiting Indian datasets and keeping the value within the country. While processing of public data is part of the long-term plan for governance, the initial immediate focus is on developing foundational language models and sector-specific applications using non-personal data where available. 

 Elon Musk on India