#WUaSunivs Asked #GeminiAI: Could you act as mentor or Prof to #WUaSPhDstudent ...
#WUaSunivs Asked #GeminiAI: Could you act as mentor or Prof to #WUaSPhDstudent & HOW TO BEGIN a Large Language Model with AI and ML at MIT OCW-centric wiki World University and School in for example WUaS International Business Management from - https://wiki.worlduniversityandschool.org/wiki/Business_Management - AND further how best to begin a Large Language Model with iterating AI and ML at MIT OCW-centric wiki World University and School in all the academic wiki subjects - https://wiki.worlduniversityandschool.org/wiki/Subjects - to act as professors Initially for people who wants to do a WUaS MIT OCW-centric wiki World University and School PhD and with these MIT OCW subjects / MIT Departments - https://opencw.aprende.org/courses/ as data sources - in each of all 200 countries WUaS and in their main languages?
HOW TO BEGIN a Large Language Model with AI and ML at MIT OCW-centric wiki World University and School in for example WUaS International Business Management from -
https://wiki.worlduniversityandschool.org/wiki/Business_Management - to act as a professor initially for someone who wants to do a WUaS International Business Management PhD based on the Sloan School of Management's MIT OCW -
https://opencw.aprende.org/courses/sloan-school-of-management/ (and possibly from other MIT OCW courses
https://opencw.aprende.org/courses/ too)?
Here is a step-by-step guide on how to begin creating an LLM to act as a professor for a World University and School (WUaS) International Business Management PhD, leveraging MIT OpenCourseWare (OCW).
1. Data Collection and Curation
The first step is to gather the relevant data to train or fine-tune your LLM.
MIT OCW Content: The MIT OCW website at https://ocw.mit.edu/ is the official source. The domain opencw.aprende.org appears to be a partner or a mirror site that provides a clean, searchable interface. It offers a wide range of courses, and the Sloan School of Management section lists numerous graduate-level courses that would be directly applicable. You would need to systematically download or scrape the course materials from the relevant MIT OCW pages. This includes lecture notes, syllabi, readings, problem sets, and exams.
WUaS Content: The World University and School (WUaS) wiki page at https://wiki.worlduniversityandschool.org/wiki/Business_Management provides a conceptual framework and lists courses from MIT OCW that are relevant to their program. The content on this page, while not a complete curriculum, can provide a high-level structure and a starting point for what to include.
Supplementary Materials: To create a robust "professor," you'll need to go beyond the core course materials. This includes finding and incorporating scholarly articles, case studies, industry reports, and other publications related to international business management.
2. Choosing an LLM Approach
You have a few options for how to implement the LLM.
Prompt Engineering and Retrieval-Augmented Generation (RAG): This is the fastest and most cost-effective method. You can use an existing, powerful LLM (like GPT-4 or Gemini) and feed it the curated documents from step one. The LLM then "retrieves" the most relevant information from your documents to answer a question. This approach avoids the high cost of training or fine-tuning a model from scratch. It's a great way to start building a prototype.
Fine-Tuning: This approach involves taking a pre-trained LLM and training it further on your specific dataset. This allows the model to learn the tone, style, and specific terminology of the business management domain. Fine-tuning a model requires a smaller dataset and less computational power than training from scratch, but it still requires significant resources.
Training from Scratch: This is the most complex and expensive method. It involves building a model from the ground up using your own dataset. This is typically reserved for large organizations and would not be the recommended starting point for this project.
3. Implementing the "Professor" Persona
Once you have an LLM approach, you can program the "professor" persona.
Prompting: You need to craft a detailed system prompt that instructs the LLM to behave like a PhD professor. This prompt should define the professor's role, persona, and constraints, such as:
Role: An expert in International Business Management.
Objective: To guide a PhD student through the curriculum and research.
Behavior: Answers questions, provides critical feedback on research ideas, suggests relevant readings from the provided materials, and explains complex concepts in a clear, academic style.
Feedback Loops: A good "professor" LLM needs to be able to learn and improve. You should build a system where the student can provide feedback on the LLM's answers. This data can be used to refine the model's performance over time.
4. Ethical and Practical Considerations
Accuracy: LLMs can "hallucinate" and produce incorrect or fabricated information. The "professor" LLM must be designed to minimize this. RAG helps by grounding responses in the provided source material, and the system should always encourage fact-checking against the original MIT OCW content.
Intellectual Property: While MIT OCW content is free and openly licensed, you must adhere to the specific Creative Commons license terms. Make sure your project and its distribution comply with these rules.
Scalability: Consider how the system will grow. As the PhD student's research progresses, the knowledge base will need to expand. The system should be designed to easily incorporate new documents, articles, and research papers
https://g.co/gemini/share/7ad2081b9a9f*
And further how best to begin a Large Language Model with iterating AI and ML at MIT OCW-centric wiki World University and School in all the academic wiki subjects - https://wiki.worlduniversityandschool.org/wiki/Subjects - to act as professors Initially for people who wants to do a WUaS MIT OCW-centric wiki World University and School PhD and with these MIT OCW subjects / MIT Departments - https://opencw.aprende.org/courses/ as data sources - in each of all 200 countries WUaS and in their main languages?
Starting an AI-driven, OCW-centric academic platform for all subjects and languages is an enormous undertaking. The best way to begin is by adopting a phased, modular, and iterative strategy rather than attempting to build a monolithic system from scratch. This approach allows you to demonstrate value early, gather crucial feedback, and scale effectively.
1. The Foundational Data Pipeline 
The first and most critical step is to build a robust, automated data pipeline that can ingest and process content from MIT OCW. This pipeline must be designed for immense scale and multilingual support from the start.
Ingestion: Develop scripts to programmatically scrape and download content from MIT's OCW website (ocw.mit.edu), focusing on text-based materials like lecture notes, syllabi, problem sets, and transcripts of video lectures.
Structured Knowledge Base: Convert this raw data into a structured format. This is more than just a simple text file. Each piece of content should be tagged with metadata, including:
Course ID (e.g., 6.001 - Structure and Interpretation of Computer Programs).
Department (e.g., Electrical Engineering and Computer Science).
Topic/Subject (e.g., Computer Science).
Content Type (e.g., lecture notes, assignment, exam).
Language (e.g., English).
Language Agnostic Representation: Store the content in a way that is language-independent. This can be achieved using a vector database, which converts text into numerical representations (embeddings) that capture meaning rather than words. This allows a search query in Spanish to find a relevant document in English.
Centralized Index: Create a central index that links all of this data together. This index will be the "brain" that the LLM queries to find relevant information.
2. The Multilingual and Localization Challenge 
Serving content in 200 countries' main languages is the most complex part of this plan. You cannot simply translate everything at once.
Phase 1: English-First with Translation-on-Demand: Begin by building the core system in English, as all MIT OCW content is in English. Use a powerful multilingual LLM (such as one of the open-source variants like BLOOM or a commercial model like GPT-4) and Retrieval-Augmented Generation (RAG). When a user from a non-English-speaking country asks a question, their query is translated to English, used to find the relevant English documents, and then the final answer is translated back to their language. This is a pragmatic, immediate solution.
Phase 2: Fine-Tuning on Localized Content: As you gather user feedback, identify the most in-demand languages. For these languages, you can start a more formal process. Partner with language experts and native speakers to translate and fine-tune the core academic documents. This creates a higher-quality, culturally relevant knowledge base for specific countries.
Community-Powered Localization: To scale to 200 countries, you will need a community-driven model. The WUaS wiki platform is perfect for this. Allow and incentivize users from different countries to correct machine translations, translate new content, and add country-specific academic and cultural context.
3. Iterative AI and ML for Continuous Improvement 
An effective professor learns from their students. Your system should too.
Feedback Loops: Collect user feedback on the quality of the "professor's" answers. If a student flags a response as incorrect, unhelpful, or culturally insensitive, the system should log this for review. This data can be used to retrain or fine-tune the model.
User Modeling: Use machine learning to build a profile of each student. Track which subjects they study, which questions they ask, and which concepts they struggle with. The "professor" can then use this information to personalize the learning experience, for example, by providing more basic examples for a student who is struggling or suggesting more advanced readings for a student who is excelling.
Curriculum Adaptation: Over time, the iterative process can help identify gaps in the curriculum. If many students in a specific country consistently ask questions that aren't answered by the current data, it indicates a need to either find new data sources or create new, localized content. This allows the AI to not just teach, but also to help develop the curriculum itself
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#WUaSunivs Asked #GeminiAI: Could you act as mentor or Prof to #WUaSPhDstudent
Languages at wuas - all 7159 known
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Hi Ma, Ed, Pin, how are you? 94 F in Elko NV and am about an 8 hour drive from Canyon 94516 ... and am tired ... WUaS just replied to an inquiry from south Africa "Karisma (
https://www.linkedin.com/in/karisma-robert/), (& Ed Smyth MD, WUaS Chief Medical Officer in Berkeley, California),
Thank you for your email too, and your great interest in a PhD program or similar at MIT OCW-centric wiki World Univ & Sch / WUaS. MIT OCW-centric wiki World Univ & Sch is not yet accredited so we are not yet accepting applications for our online-from-home free-to-students' PhD programs or similar - and in International Business Management (and here's the very early and beginning
https://wiki.worlduniversityandschool.org/wiki/Business_Management wiki Subject or School at WUaS from which WUaS - accessible from
https://wiki.worlduniversityandschool.org/wiki/Subjects - will build out I think a Large Language Model with AI and ML, and check out its iterating MIT OpenCourseWare courses in Business Management in the Sloan School there -
https://ocw.mit.edu/).
Here are the Creative Commons 4 licensed MIT OCW COURSES from the MIT Sloan School of Management -
https://opencw.aprende.org/courses/sloan-school-of-management/ - and with video of MIT faculty themselves; WUaS is planning to hire graduate student instructors, post-docs, and faculty, with time, to teach online at MIT OCW_centric wiki World Univ & Sch, and for our PhDs too. (CC-4 MIT OCW licensing says WUaS can 1) share MIT OCW freely, 2) adapt it with AI and ML, but 3) non-commercially). As WUaS proceeds with accreditation, we may seek applications for our free-to-students' WUaS PhD programs in 2 or 3 years, and as we seek reimbursement from nation states' departments of education, so in your case from South African department of education, per student per year, along the lines of what it would cost to go to MIT in Cambridge MA itself, so ~$65,000 per year (and see
https://sfs.mit.edu/undergraduate-students/the-cost-of-attendance/annual-student-budget/ - and World Univ & Sch / WUaS is completely separate from MIT, and only building from MIT OCW with its CC4 licensing.
I did ask Gemini AI
Could you act as a mentor or Professor to a PhD student at MIT open courseware-Centric Wiki World University and school using the Sloan School of Management MIT opencourseware courses?
Gemini ai replied -
A strong PhD journey using MIT OpenCourseWare requires a structured approach. I recommend starting by identifying a specific research question and then curating a custom curriculum from the various courses. Use a combination of core management subjects from the Sloan School and foundational courses in economics, statistics, and other relevant fields to build your knowledge base. Actively engage with the material by working through problem sets, and seek out supplementary resources and academic papers to deepen your understanding. Remember, the key is not just consuming the information but using it to fuel your original research.
WUaS is especially interested in making our free planned online degrees from home available to people in South Africa's townships, and in all of the countries in Africa, especially in southern Africa which are some of the poorest of the ~200 in the world (as WUaS plans major online WUaS Universities in each of all 200 countries and in their main languages and from here -
https://wiki.worlduniversityandschool.org/wiki/Nation_States).
All the best, kind regards, abolition-ally, thanks,
Scott GK MacLeod
PS
In response to your specific questions -
Are all the courses offered self-paced and self learning takes place or are there online lectures?
See above re WUaS seeking to hire WUaS faculty +
Which accreditation does the institution currently have?
MIT OCW-centric wiki World Univ & Sch is not yet accredited, even provisionally, and offers no degrees or degree programs at present
Please can I get a prospectus from you for the university courses offered. I may want to complete more than one course at a time - is this possible and permitted?
Please see above." HOW TO BEGIN a Large Language Model with AI and ML to act as a professor Initially for someone who wants to do a WUaS Intl Business Management PhD based on the Sloan School of Management's MIT OCW -
https://opencw.aprende.org/courses/sloan-school-of-management/ ? Great Gemini reply -
https://g.co/gemini/share/357a1ffcb73d Thoughts? Ed, Free WUaS Medical Schools in South Africa, in South African Black townships in the back of Toyota Ambulance vans with Toyota Humanoid Robot MD Profs of Surgery even? Hogs, Scott
*
Building a specialized large language model (LLM) to act as a professor for a specific PhD program is a complex but achievable project. It involves several key steps, from data collection to model training and deployment. Since the initial browsing attempt for the provided URL did not yield a list of courses, I will proceed with a general framework based on the search results.
Here is a step-by-step guide on how to begin this project:
Step 1: Data Curation
The foundation of a good domain-specific LLM is a high-quality, specialized dataset. You will need to gather a vast amount of text related to the "WUaS Intl Business Management PhD" and the "Sloan School of Management's MIT OCW."
* Gather Course Materials: Although the direct browsing of the provided URL was not successful in listing the courses, you would need to manually collect or find the syllabi, lecture notes, academic papers, and case studies for the relevant MIT OCW courses.
* Source Additional Data: Supplement the course materials with other relevant academic texts, research papers, textbooks, and business journals in the fields of international business, management, and finance.
* Format the Data: The data should be organized and cleaned. This may involve converting PDFs to text, removing extraneous information, and structuring the data in a way that is easy for a model to process.
Step 2: Model Selection and Fine-Tuning
Training a large language model from scratch requires immense computational resources and time. A more practical and efficient approach is to fine-tune an existing, pre-trained model.
* Choose a Base Model: Select a powerful open-source or commercial pre-trained LLM (e.g., Llama, Mistral, or a model accessible via an API). Look for a model that has a strong general language understanding.
* Fine-Tuning: Use the curated academic dataset from Step 1 to fine-tune the selected base model. This process involves further training the model on your specific corpus, allowing it to adapt its knowledge, tone, and understanding to the language and concepts of international business management. This helps the model to retain its general language capabilities while specializing in the new domain.
Step 3: Prompt Engineering and RAG (Retrieval-Augmented Generation)
To make the LLM behave like a "professor," you need to go beyond simple fine-tuning.
* Prompt Engineering: Design system prompts that define the model's persona. For example, you can instruct the model to "Act as a knowledgeable PhD professor in International Business Management, specializing in the MIT Sloan curriculum. Use a formal yet encouraging tone, provide detailed explanations, and ask probing questions to check for understanding."
* Implement RAG: This is a crucial step for ensuring accuracy and reducing "hallucinations" (the model generating incorrect or fabricated information). RAG works by allowing the LLM to access an external knowledge base—your curated dataset of course materials—and retrieve relevant information before generating a response. This means the model won't just rely on its trained knowledge but will also pull from the exact source materials you provided, ensuring it is grounded in the correct information.
Step 4: Interface and Deployment
Once the model is ready, you need a way for students to interact with it.
* Build a User Interface (UI): This could be a simple chatbot interface where a student can type questions and receive responses.
* Integrate the Model: Connect your fine-tuned model and RAG system to the UI via an API. This allows the front-end to communicate with the back-end LLM.
* Test and Iterate: Release the tool to a small group for testing. Gather feedback on its accuracy, tone, and effectiveness. Use this feedback to further refine the model's prompts and training data.
Following these steps will provide a solid foundation for creating an AI-powered professor that is specialized, accurate, and helpful for a PhD program in international business.
--
Society, Information Technology, and the Global University (2025, forthcoming)
- Scott GK MacLeod
Founder, President, CEO & Professor
CC-4 licensed MIT OCW-centric, Wiki,
World University & School (WUaS)
- USPS US Post Office, General Delivery, Canyon, CA 94516
1) non-profit 501(c)(3) Public Charity
MIT OCW-centric,
World Univ & Sch Innovation Research -
* * * *
Re: Developments in Canyon 94516 ~
Dear Byron (Hann MD PhD), John (Sargent MD at Tufts Medical Center in Boston and MIT alum especially) Ed (Smyth MD, KP and the state of CA, I think, and Pin/Sid Mazumder HHS, in the US federal government in the greater DC area. US Senator and former Harvard Law Professor Elizabth Warren, and MN Lt Governor Peggy Flanagan, and All),
Greetings from the Valle Vista Staging Area near Canyon 94516. I just checked for my and MIT OCW-centric wiki World Univ & Sch's mail at the Canyon 94516 US Post Office via general delivery, and there was nothing again. I've just received one piece of mail in the past month or so via USPS general delivery there, a FIT kit test result.
How would you suggest CA law enforcement with US federal government law enforcement help to make 670 Ridgecrest Rd, Canyon 94516 newly safe and vacant presently, so that I and the WUaS academic medical center can move in there imminently?
All the best, abolition ally (with WUaS worldwide abolition movement growing), Yogically, staying alive, Friendly Quaker greetings,
Scott
PS
Hi Christine, and Esperanza, (Ed, KP and the state of CA, and Pin, in the US federal govt in the greater DC area. and All),
Greetings from the Valle Vista Staging Area near Canyon 94516, where you both live presently I think. How are you all doing?
I just checked the Canyon 94516 US post office for my and MIT OCW-centric wiki World Univ & Sch
And thanks to Ed Smyth MD for precipitating my and MIT OCW- centric wiki World Univ & Sch moving forward into a newly safe vacant 670 Ridgecrest Rd, Canyon 94516, where I live for about 13 years until moving into a safe house north of Berkeley, and then fleeing for my life to the eastern seaboard where I live in asylum there for about 2 1/2 years.
Thanks also, Esperanza, for saying outside the US Post Office at Canyon 94516 a month or 2 ago "Take it easy..." referring to my and MIT OCW-centric World Univ & Sch moving forward into a newly safe vacant 670 Ridgecrest Rd, Canyon 94516 too.
How best now to proceed? Just back from the east coast, and continuing to seek to move forward into a newly safe vacant 670 Ridgecrest Rd, Canyon 94516 with US federal and state of CA law working together effectively in new ways, glad I sought US federal protection for my mother, and brother, both on the eastern seaboard, and myself in some of these regards, many many months ago.
Chris and Esperanza, how would you suggest CA law enforcement with US federal government law enforcement help to make 670 Ridgecrest Rd, Canyon 94516 newly safe and vacant presently?
Scott
aPS
Just texted my mother, Pin/Sid Mazumdar HHS (best friend from high school in the 2nd half of the 1970s), and Ed Smyth MD (best friend in the SF Bay Area at whose wedding I played my bagpipes in around the year 2000 in the old Exploratorium Museum's gardens at the Palace of Fine Art in SF) ...
*
Dear Byron (Hann MD PhD), John (Sargent MD at Tufts Medical Center in Boston and MIT alum especially) Ed (Smyth MD, KP and the state of CA, I think, and Pin/Sid Mazumder HHS, in the US federal government in the greater DC area. US Senator and former Harvard Law Professor Elizabth Warren, and MN Lt Governor Peggy Flanagan, and All),
Great to see you Byron, yesterday, in your home on Larch avenue!
After visiting the Canyon 94516 US Post Office and emailing you and everyone this morning, I stopped over at Byron's and his garage was open ... His daughter Erika, husband Lucas (sp?), and grandkids Jasper and Aurora are visiting from Vermont ... Good to visit .... (Reed College alum too) Byron said as we spoke after outside "You made good time" referring to my MA to CA drive and possibly to my and WUaS moving into a newly safe vacant Canyon 94516 soon ... And he asked, have you visited Harbin Hot Springs (field site for 2nd physical-digital Harbin Hot Springs' ethnographic book project) recently ? Not in the past 2 months I said ... and thought to go there soon ... but it's $70 for 24 hours tonight F and Sat and hot in lake county too, and in the 100s F this week too ... So I drove south to Stanford Law and around the south bay to avoid tolls, got groceries and decided to get a cold surfers' shower at Rodeo lagoon and wind my way to Lake County gradually and to Clear Lake State Park maybe tomorrow evening Friday ... And my Moraga A5 storage unit payment is due by 9/5 so hopefully I and WUaS can move forward into 670 Ridgecrest Canyon 94516 by then .... I think Byron and Cindy and others are on this, and that Byron will help make a #
RealisticVirtualEarthForAgingR
eversal & as an out-of-the-box 'Aging Reversal Machine' in the Canyon 94516 shop ... I also mentioned to him (Yale alum and Digital sports' executive) Doug Billman on Cuttyhunk saying he was "going for it" - to live to the age of 125 years :) (older than Jeanne Calment who died at 122 years of age) ... Ed, Pin ? ... Thoughts, questions, suggestions? Good to drive into the High Sierra this morning and to be in California again and to see Byron and family too ... Fond Regards, hugs, warmly, Yogically, Scott (
http://scott-macleod.blogspot.com/search/label/Canyon &
http://scott-macleod.blogspot.com/search/label/Reed%20College)
Byron, re Doug Billman being a sports' executive, and that genetic drug therapies for aging reversal may / will come along incrementally (before and re "A Cure for Aging by 2050? - George Church -
https://youtu.be/N6WdeclE__w")
, I wondered when I saw this GLP-1 whether it could be a genetic drug therapy that helped Serena Williams lose 31 pounds, but it's not, rather (glucagon-like peptide-1) receptor agonists, AND, however, re AI overview below may interoperate with genes ...
Tech News Th 8/21/25
EXCLUSIVE: Serena Williams Says GLP-1 Medication Helped Her Lose 31 Pounds
The tennis legend says she needed extra medical support after giving birth to her second daughter.
Updated Aug. 21, 2025
Genetic factors play a role in how individuals respond to GLP-1 (glucagon-like peptide-1) receptor agonists, drugs used to treat type 2 diabetes and promote weight loss. Specifically, variations in the GLP1R gene, which encodes the GLP-1 receptor, can influence insulin secretion, glucose levels, and the effectiveness of these medications. Furthermore, some genetic variants are linked to increased risk of gestational diabetes mellitus (GDM). Here's a more detailed look:
The GLP1R gene encodes the GLP-1 receptor, a protein that binds to GLP-1, a hormone that stimulates insulin release and regulates blood sugar. GLP-1 receptor agonists mimic the action of GLP-1, making them effective treatments for type 2 diabetes and obesity. Genetic Variations and Drug Response:
Studies have identified specific genetic variations (SNPs) within the GLP1R gene that can affect how well individuals respond to GLP-1 receptor agonists. For example, one study found that certain variants were associated with a greater reduction in glucose levels with these medications. GLP1R and Gestational Diabetes: Genetic variants in the GLP1R gene have also been linked to gestational diabetes mellitus (GDM). Studies have found that certain GLP1R variants are associated with an increased risk of GDM, particularly in women with higher BMIs. Other Factors:
While genetic factors are important, other factors like age, BMI, and lifestyle also play a role in how individuals respond to GLP-1 receptor agonists and their susceptibility to conditions like diabetes. Ongoing Research:
23andMe is currently conducting a study to further explore the genetic basis of GLP-1 receptor agonist efficacy and side effects, highlighting the ongoing interest in this area
How best now to proceed? Just back to California from the east coast, and continuing to seek to move forward into a newly safe vacant 670 Ridgecrest Rd, Canyon 94516 with US federal and state of CA law working together effectively in new ways, glad I sought US federal protection for my mother, and brother, both on the eastern seaboard, and myself in some of these regards, many many months ago.
How best now to move forward into a newly safe vacant 670 Ridgecrest Rd, Canyon 94516 with US federal and state of CA law working together effectively in new ways?
Scott
PS
PPS
Retweeting -
I’ll be in Minneapolis this weekend with my friend @PeggyFlanagan.
We need more Democrats in the Senate who’ll fight for working families with all they’ve got.
RSVP to join us as we fight for America’s future: ewar.ren/9uu
PPPS
Abolition #WUaSabolition #WUaSLawSchools @WorldUnivAndSch In asylum from #SFBayArea on eastern seaboard
*
Peter, (Ed, Pin, Ma),
How to move forward into a newly safe Canyon 94516 and Re this text message just now (and re intl organized crime on Cuttyhunk too)
Hi Pin, Ed, Ma, (AI readers), how are you? Just leaving Bodega Bay where I van-camped ... way out in a park-like area near the Pacific ocean and some trails AND ... A black sedan government-like car pulled up with temporary plates ... and the people (& were some of them from a very very small state in the middle east??? ... relatives of the renter at the AFSC in around 2017 at the sf quajer meeting on 9th street sf potentially Involved in intl organized crime with kids tragically ???) who got out were speaking Italian after I asked the one man who also said he lived in Reno Nevada and had dual Italian-USA citizenship ... Brainstorming, I even wondered about international organized crime historically ... and whether he could be some sort of Italian govt official and was from Venice on the same latitude as Milan (and last Thanksgiving I met with T.., David, T..'s older brother William, and their nephew Inigo who lives near Milan Italy) ... The 2nd time I spoke with him at this beach, he said he was retired ... And I mentioned MIT OCW-centric wiki World Univ & Sch planned in Italian and for free to Italians AND he took a picture of my laptop with a WUaS sticker on it with URL ... And brainstorming further, and in WUaS growing a worldwide abolition movement to protect people, if he were a govt official could he call for my murder somehow and in Harbin circles even ? So where to van-camp tonight ... And where to get showers ... And as I wait for 670 Ridgecrest Rd Canyon 94516 to become newly safe ... With possibly international organized crime such as Canyon-ites even with governments Organizing in a Different direction ... So where to stay & shower in the next days? Am also not entirely sure where Byron's commitments lie ... And how he might even be involved in intl organized crime eg with UCSF ... ED, PIN. ... thoughts, questions, suggestions? Scott (
http://scott-macleod.blogspot.com/search/label/Yoga ... and re the Bhagavad Gita + and see -
http://scott-macleod.blogspot.com/2025/07/lotus-kamalapadma.html)
Good to have sought US federal protection for my mother, Sandy and myself, and a US federal investigation into Canyon, Cuttyhunk and Harbin + too ...
Staying alive, abolitionally, best regards,
Scott
*
Dear Peter, Ed, Pin/Sid, Ma/Janie (on Cuttyhunk presently until tomorrow I think), AI readers,.
Greetings from Oakland, and I hope this email finds you well. (Am not sure whether you get these emails / writings, Peter and Ed), but I'll write anyway and in growing a WUaS worldwide abolition movement and seeking to stay alive as well -
I continue to get this email auto replies regularly and in many email threads to Karl Koster, retired director and fundraiser of MIT Industrial Liaisons of Industrial Liaison Program and Executive Director, MIT Corporate Relations - and who married Lindley Huey, MIT fundraiser too, and who has a house on Cuttyhunk ... and continue to inquire about their possible roles in MIT international organized crime ... and in seeking a US federal investigation into Cuttyhunk island MA too ..
Delivery incomplete |
| There was a temporary problem delivering your message to Koster@ilp.mit.edu. Gmail will retry for 46 more hours. You'll be notified if the delivery fails permanently. |
... and as I seek to stay alive, and re the MIT epstein and lewin tragedies ... and even re the Cuttyhunk Yacht Club ... and possibly re Brown University (since Karl is an alumnus of Brown too) too and re alan 'it's a club" symonds .. formerly married to now-deceased Brown University professor of Anthropology Patricia Symonds, both of whom went on Semester at Sea at my father's GKM MD's invitations ... and where my father received his first brain injury on Univ pitt managed at the time Semester at Sea in Belize on 12/30/04 ...
Thoughts, questions suggestions?
Abolitionally, staying alive, best wishes, yogically, Friendly Quaker greetings,
Scott
*
https://en.wikipedia.org/wiki/Chestnut-backed_chickadee
https://commons.wikimedia.org/wiki/Category:Poecile_rufescens
https://species.wikimedia.org/wiki/Poecile_rufescens
...
Scott
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