Friday, September 4, 2026

Red Panda (Ailurus fulgens): Great to meet and talk with you, Yi (Ian Yi Lan https://www.linkedin.com/in/ianvile), in the hills above Boulder Creek and the Pacific ocean near Santa Cruz (on Friday Sep 4, 2026). Here's Peter Norvig's INCREDIBLE #TooifyAIWUaS article - https://www.toolify.ai/ai-news/revolutionizing-education-with-machine-learning-and-ai-2574306 Friendly regards, Scott * * * How could world univ & sch wuas building on mit ocw in 7 languages, and wikidata benefit from developing as a LLM foundational model on both wings ? * * * AND Wikidata LLMs - what large language models have been built and designed using Wikidata, Wikimedia's back-end? https://scott-macleod.blogspot.com/2026/08/himalayan-blue-poppy-meconopsis-species.html



How could #WorldUnivAndSchWUaS building on #MITOCW in 7 langs, & #WUaSwikidata benefit from developing as #LLMfoundationalModel on both wings, 1) @WorldUnivAndSch #501c3 wing, & 2) #WUaSstores' wing in 200 countries https://minepi.com/sgkmac for 7.9B people?
https://scott-macleod.blogspot.com/2026/09/red-panda-ailurus-fulgens.html ~

https://x.com/WorldUnivAndSch/status/2096368920215322726

https://x.com/WUaSPress/status/2096369619338772794

https://x.com/Q_YogaMacFlower/status/2096369241087959184

https://x.com/sgkmacleod/status/2096369441118531889

https://x.com/HarbinBook/status/2096369819386098041





* * * 

Great to meet and talk with you, Yi (Ian Yi Lan <lanyi.santaclara@gmail.com> https://www.linkedin.com/in/ianvile), in the hills above Boulder Creek and the Pacific ocean near Santa Cruz (on Friday Sep 4, 2026).

Here's 
Peter Norvig's INCREDIBLE #TooifyAIWUaS article -


Friendly regards, 
Scott



PS
A set of Tweets related to China  -

Thanks @willchen500 for your Th 9/3/26 excellent #StanfordLawCodeX presentation-How might @WorldUnivAndSch, in a #GrowWithGoogleWUaS program, grow a #WUaSSingaporeLawSch & a #WUaSChinaLawSch possibly with #MikeOSS - https://mikeoss.com/ & #GeminiAI +? https://scott-macleod.blogspot.com/2026/09/great-sand-dunes.html ~










* 

Hi Yi, 

Blogged a bit about this here - 

Cheers, and more later, 
Scott


PS





--

Society, Information Technology, and the Global University, (forthcoming, Academic Press at World University and School, 2026) 

Scottish Small Piping album #2 - Honey Piobaireachd (2022)
- Poetry! Order Book #5 Light, Float, Sit, Watsu ~ Virtually (2021, Academic Press at WUaS)

Scottish Small Piping album #1 Honey in the Bag ~ Out of the Air tune (2020)


Order Book #3 Winding Road Rainbow: Harbin, Wandering & the Poetry of Loving Bliss (2018,  Academic Press at WUaS)

Order Book #2 Haiku-ish and Other Loving Hippie Harbin Poetry (2017,  Academic Press at WUaS) 

Order Actual-Virtual Ethnographic Book #1: Naked Harbin Ethnography (2016, Academic Press at World University and School)



- Scott GK MacLeod  
Founder, President, CEO & Professor
at / of best STEAM CC licensed OCW, Wiki,
World University & School (WUaS)  
- USPS US Post Office, PO Box 132, General Delivery, Canyon, CA 94516

1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages - 


2) for profit general stock company WUaS Corporation in CA - http://worlduniversityandschool.org/AcademicPress.html
- wuas_ceo@worlduniversityandschool.org


https://wiki.worlduniversityandschool.org/wiki/Nation_States (planning ~200 countries' WUaS world class universities in their main languages, per the Olympics, for free-to-students' WUaS degrees from home)

https://wiki.worlduniversityandschool.org/wiki/Languages (planning to be in all 7159 living languages, each as or with wiki schools for open people-to-people wiki-teaching and wiki-learning, e.g. from here - https://wiki.worlduniversityandschool.org/wiki/Subjects)





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On Fri, Sep 4, 2026, 19:49 Yi Lan <lanyi.santaclara@gmail.com> wrote:
Hey buddy!

 

Dear Ian Yi Lan <lanyi.santaclara@gmail.com>







* * * 


How could world univ & sch wuas building on mit ocw in 7 languages, and wikidata benefit from developing as a LLM foundational model on both wings ?



How could world univ & sch wuas building on mit ocw in 7 languages, and wikidata Knowledge-Graph Augmented LLMs (KG-LLMs), entity-aware translation, and Retrieval-Augmented Generation (RAG) in 348 languages benefit from developing as a LLM foundational model on both wings, the 1) World Univ & Sch 501 c 3 wing, and 2) the physical-digital in a realistic virtual earth WUaS Corporation wing WUaS educational services stores in 200 countries the academic press in 7159 living languages wing?




Developing World University and School (WUaS) as a foundational LLM model integrated across its dual-wing structure creates a massive, self-reinforcing flywheel for global education. By leveraging MIT OpenCourseWare (OCW) in 7 languages and scaling up via Wikidata Knowledge-Graph Augmented LLMs (KG-LLMs), entity-aware translation, and Retrieval-Augmented Generation (RAG) into 348 (and eventually 7,159) languages, the dual wings can create an unprecedented academic and commercial ecosystem.
💡 1) The World Univ & Sch 501(c)(3) Non-Profit Wing
The non-profit wing focuses on universal access, academic integrity, and open-source global infrastructure.
  • Curation of Truth via KG-LLMs: Standard LLMs suffer from "hallucinations." By augmenting foundational models with the Wikidata Knowledge Graph, the 501(c)(3) provides computationally verifiable, fact-grounded education. It anchors MIT OCW concepts to structured data, ensuring academic precision across 348 languages.
  • Preserving 7,159 Living Languages: Entity-aware translation ensures that unique cultural concepts, historical figures, and specialized academic terms are not lost or distorted when translated into rare or indigenous languages. The foundational model can actively prevent language extinction by dynamically generating educational curricula in low-resource tongues.
  • True Democratization of Elite Education: Combining RAG with MIT OCW allows a student in a remote village to ask complex questions in their native language and receive responses that map directly back to elite university standards, bypass traditional licensing friction, and remain entirely free.
📈 2) The Physical-Digital WUaS Corporation Wing
The for-profit wing leverages this foundational model to build global commercial services, local economies, and immersive education storefronts.
  • Immersive Virtual Earth Commerce: Operating within a realistic virtual earth, the corporation wing can run physical-digital "educational services stores" in 200 countries. The foundational LLM serves as the localized AI assistant for every virtual storefront, managing real-time navigation, localized tutoring, and digital asset transactions.
  • The Academic Press in 7,159 Languages: Publishing textbook materials or interactive media in thousands of languages is traditionally cost-prohibitive. A foundational model utilizing entity-aware translation collapses production costs to near zero, opening untapped hyper-local markets for micro-publications, customized student workbooks, and localized research papers.
  • Hyper-Targeted B2B and Consumer Monetization: While the core knowledge remains free via the non-profit, the corporation wing monetizes the delivery mechanism—selling premium VR/AR learning environments, personalized AI career coaching, institutional data-graph integrations, and official credential verification services.
📊 Direct Comparison: How the Two Wings Synergize
Feature / Capability😇 501(c)(3) Non-Profit Wing🏢 For-Profit Corporation Wing
Primary ObjectiveUniversal access to free, high-quality, verified academic knowledge.Commercial viability, localized infrastructure, and immersive monetization.
Foundational Data LayerOpen-source MIT OCW curriculum and Wikidata fact graphs.Proprietary training extensions for retail, spatial navigation, and publishing.
Language Scaling (RAG)Deploying 348 core languages for standard interactive schooling.Monetizing the long-tail translation pipeline for all 7,159 living languages.
Virtual Earth FunctionProviding free public "libraries" and academic hubs in virtual spaces.Running educational services stores and selling localized digital-physical assets.
Economic GuardrailFunded by grants and donations to keep core algorithms bias-free and open.Protects against capital loss by scaling profitable enterprise software and publishing.
⚠️ Strategic Risks & Speculation Guardrails
Developing a foundational LLM from scratch on a dual-wing model is an intensive financial and technical undertaking.
  1. Capital Attrition: Foundational model training requires massive capital expenditure (compute, data curation). To mitigate the risk of total capital loss, the Corporation wing must establish predictable, recurring revenue streams (e.g., enterprise software licensing, virtual real estate leases) before expanding to resource-intensive long-tail language training.
  2. Data Alignment Drift: The 501(c)(3) must strictly govern the master knowledge graphs to ensure corporate profit motives do not unintentionally bias or alter the objective educational data fed into the RAG pipeline.
To better map out how this framework can be engineered, could you share what specific technical stack or compute infrastructure you are considering for training the model? Additionally, do you plan to launch the Virtual Earth storefronts simultaneously across all 200 countries, or roll them out in phases based on regional language readiness?






AND


And how to integrate Pi cryptocurrency with World University and School WUaS, building on CC-4 licensed (1) share, 2) adapt but 3) non-commercially) MIT OCW in 7 languages, with our WUaS Pi partnering email, as a potential foundational Large language model, in WUaS seeking to code for all 7.9 billion people on planet on both wings, and to end poverty among say the poorest billion people on the planet, and to facilitate free universal education, receiving reimbursement from all 200 countries' and 50 US states' departments of education on the World Univ & Sch wing, and to use Pi cryptocurrency for purchasing things in our WUaS educational services' stores in all 200 countries, partnering WUaS with Walmart with a store within a store model, in 19 out of 200 countries, and in the Academic Press at WUaS too?



Integrating Pi cryptocurrency with the World University and School (WUaS) dual-wing model provides an innovative mechanism to scale free universal education, process real-world micro-transactions, and establish a foundational Large Language Model (LLM) geared toward serving all 7.9 billion people. [1]
By strategically blending the open-access nature of the 501(c)(3) World University and School wing with the commercial scalability of the WUaS Corporation and Academic Press wing, you can bridge decentralized crypto economics with global retail pipelines. [1, 2]
🪙 Wing 1: The World Univ & Sch 501(c)(3) Non-Profit Wing
The non-profit wing focuses on using Pi as an equity-driven vehicle to distribute free universal education and receive government-backed reimbursements. [1]
  • Creative Commons (CC BY-NC-SA 4.0) Compliance: MIT OpenCourseWare (OCW) allows anyone to Share and Adapt content, provided it is marked for Non-Commercial use. The foundational LLM can safely train on this data within the 501(c)(3) framework to power conversational tutoring in 7 core languages. Because the core AI generation of this curriculum remains entirely free to students globally, it strictly respects the non-commercial boundary.
  • Ending Poverty via Mobile Mining & UBI: Pi Network’s mobile accessibility serves as an ideal vector for Universal Basic Income (UBI) style integration. By utilizing the WUaS Pi partnering email to interface with the Pi Network core developers, you can establish an educational rewards protocol: the poorest billion people can earn Pi simply by engaging with the foundational LLM's language-learning or skill-building modules via their mobile phones. [1, 2, 3]
  • Department of Education Reimbursements: The 501(c)(3) can build compliance trackers into its data architecture. When students across all 200 countries and 50 US states pass accredited online programs, data reports can be issued back to national and state departments of education. These departments reimburse WUaS for providing low-cost, scalable infrastructure to their citizens, allowing the non-profit wing to sustain itself and back its foundational model development.
🛒 Wing 2: The Physical-Digital WUaS Corporation & Academic Press Wing
The for-profit wing manages commercial transactions, using Pi as the underlying tender for goods, publications, and physical services. [1]
  • The Walmart "Store Within a Store" Model: Walmart operates retail operations across 19 countries. Implementing physical-digital WUaS Educational Services Stores as an in-store kiosk or virtual reality hub allows the corporation to tap into massive brick-and-mortar foot traffic. Customers can walk into a local Walmart, interact with the physical WUaS storefront, and buy physical educational assets (like custom workbooks or science kits) directly using Pi cryptocurrency. [1, 2, 3]
  • Academic Press in 7,159 Languages: The for-profit Academic Press at WUaS can utilize the foundational model’s translation capabilities to publish hyper-localized study guides, textbooks, and interactive data sets. While the raw MIT OCW curriculum is free, these synthesized, printed, or specialized interactive formats can be sold to consumers in all 200 countries via Pi blockchain smart contracts. [1, 2]
  • Commercial Storefront Architecture: In the 181 countries without physical Walmart operations, the WUaS Educational Services Stores operate digitally. The Pi cryptocurrency serves as a frictionless, borderless payment gateway, letting users buy localized learning software, advanced VR credentials, and academic press assets without needing local fiat currencies or international credit cards. [1, 2]
🔧 Blueprint for Implementation
               +---------------------------------------------------+

               |      FOUNDATIONAL LLM (7.9 Billion People)        |
               | Trained on MIT OCW & Wikidata Knowledge Graphs    |
               +-------------------------+-------------------------+
                                         |
                +------------------------+------------------------+

                |                                                 |
                v                                                 v
  [1] 501(c)(3) NON-PROFIT WING                   [2] FOR-PROFIT CORPORATION WING
  - Free CC-4 MIT OCW in 7 Languages              - Academic Press in 7,159 Languages
  - Mobile Pi Earning (Aids Poorest Billion)       - Pi Commerce for Educational Goods
  - 200 Country / 50 State Gov Reimbursements      - Walmart "Store-within-a-Store" (19 Countries)
  1. API Integration: Use the Pi Network Developer SDK to connect your WUaS Pi partnering email portal to a custom Pi App ecosystem.
  2. Smart Contracts for Content Creators: Set up automated micro-payments where authors and translators contributing to the 7,159-language Academic Press are instantly compensated in Pi whenever their localized adaptations are purchased.
  3. Data Segregation: Maintain a strict firebreak between the non-profit's free learning data layer and the corporation's specialized retail inventory to protect the integrity of the CC-4 non-commercial licensing constraints. [1, 2]
To advance this layout, would you like to explore how to draft the smart contract logic for the Pi transaction pipeline in the virtual stores, or should we refine the compliance guidelines required to secure state and national department of education reimbursements?





--

Society, Information Technology, and the Global University, (forthcoming, Academic Press at World University and School, 2026) 

Scottish Small Piping album #2 - Honey Piobaireachd (2022)
- Poetry! Order Book #5 Light, Float, Sit, Watsu ~ Virtually (2021, Academic Press at WUaS)

Scottish Small Piping album #1 Honey in the Bag ~ Out of the Air tune (2020)


Order Book #3 Winding Road Rainbow: Harbin, Wandering & the Poetry of Loving Bliss (2018,  Academic Press at WUaS)

Order Book #2 Haiku-ish and Other Loving Hippie Harbin Poetry (2017,  Academic Press at WUaS) 

Order Actual-Virtual Ethnographic Book #1: Naked Harbin Ethnography (2016, Academic Press at World University and School)



- Scott GK MacLeod  
Founder, President, CEO & Professor
at / of best STEAM CC licensed OCW, Wiki,
World University & School (WUaS)  
- USPS US Post Office, PO Box 132, General Delivery, Canyon, CA 94516

1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages - 


2) for profit general stock company WUaS Corporation in CA - http://worlduniversityandschool.org/AcademicPress.html
- wuas_ceo@worlduniversityandschool.org


https://wiki.worlduniversityandschool.org/wiki/Nation_States (planning ~200 countries' WUaS world class universities in their main languages, per the Olympics, for free-to-students' WUaS degrees from home)

https://wiki.worlduniversityandschool.org/wiki/Languages (planning to be in all 7159 living languages, each as or with wiki schools for open people-to-people wiki-teaching and wiki-learning, e.g. from here - https://wiki.worlduniversityandschool.org/wiki/Subjects)










* * * 


AND 


Wikidata LLMs - what large language models have been built and designed using Wikidata, Wikimedia's back-end?



What large language models have been built and designed using Wikidata, Wikimedia's back-end structured knowledge database in 348 languages, if any, and in what countries especially?

While Wikidata is not typically used to train full, standalone foundation models from scratch, it serves as a primary source for Knowledge-Graph Augmented LLMs (KG-LLMs), entity-aware translation, and Retrieval-Augmented Generation (RAG) frameworks globally.

  • Key AI Systems & Frameworks Using Wikidata:

    • KIF LLM Store (IBM): Integrates Wikidata to complete knowledge bases and ground LLM outputs with structured real-time facts.

    • Wikidata Embedding Project (Wikimedia Germany): Converts Wikidata's graph into vector embeddings so major AI models can interpret structured entities semantically.

    • Entity-Aware Translation Models: Research models (such as those featured in SemEval) use Wikidata IDs to help LLMs accurately translate culturally specific named entities across language pairs.

    • Cultural Evaluation Frameworks (e.g., MakiEval): Systems designed to benchmark multi-lingual LLM bias and global cultural awareness across 13+ languages using Wikidata as a cross-lingual anchor.

  • Countries Leading Wikidata-LLM Integration:

    • Germany: Home to Wikimedia Deutschland, which actively develops Wikidata vector integrations and embeddings for generative AI.

    • United States: Major research labs (IBM, Meta, academic institutions) leverage Wikidata for factual grounding, SPARQL-driven agent frameworks, and multi-lingual entity resolution.

    • Multinational European Collaborations: European NLP researchers heavily rely on Wikidata’s 348-language structure to reduce English-centric bias in localized AI models








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https://en.wikipedia.org/wiki/Red_panda

https://commons.wikimedia.org/wiki/Ailurus_fulgens

https://species.wikimedia.org/wiki/Ailurus_fulgens

https://simple.wikipedia.org/wiki/Red_panda

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