What will the MIT OCW-centric wiki World University and School BLOCKCHAIN look like?
Gemini text image -
What will #MITOCWcentric wiki @WorldUnivAndSch 's #wuAsBLOCKCHAIN look like & re #wuAsFreeUniversalEducation & to #EndPoverty among 7.9 B people? #GreatAIReply https://t.co/L11CIpNBli & how will it articulate with #DrChengdiaoFan #TOKEN2049inSingapore - https://t.co/jGEJkt4K6w?
— WorldUnivandSch (@WorldUnivAndSch) October 5, 2025
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https://g.co/gemini/share/
The MIT OCW-centric wiki World University and School (WUaS) blockchain, based on its stated goals of providing free universal education and using a Stanford Mine Pi cryptocurrency partnership to potentially end poverty for all 7.9 billion people, would likely be a highly complex, multi-layered system designed for unprecedented global scale.
Its potential structure and implementation can be analyzed in two parts: the technical design (what it would look like) and the legal/operational framework (how it would be built).
1. The WUaS Blockchain: Technical Architecture
The architecture would need to combine a secure ledger for academic credentials with a massive, efficient system for cryptocurrency distribution (UBI).
Core Features and Components
| Feature | Description |
| Type | A Hybrid Blockchain (Public/Permissioned) or a dedicated Layer 2 solution built on a highly scalable Layer 1 platform (such as Pi Network, as mentioned in the user's premise). This is necessary to balance the public accessibility of free education with the need for institutional control over credential issuance. |
| Identity Layer | Every person (7.9 billion) would require a unique, decentralized digital identity. This would likely be tied to a Wikidata PIN # (as mentioned in WUaS discussions) to serve as a Self-Sovereign Identity (SSI). This PIN would authorize both access to educational content and reception of Universal Basic Income (UBI) payments. |
| Educational Credentials | WUaS would issue academic records, certifications, and diplomas as Non-Fungible Tokens (NFTs) or verifiable credentials. These digital assets would be stored on the immutable ledger, providing students with permanent, verifiable proof of their MIT OCW-centric education that is recognized globally. |
| Financial Layer (UBI) | The Mine Pi cryptocurrency or a derivative token would serve as the native digital currency. The blockchain would automate the distribution of UBI payments to every verified identity, aiming to fulfill the goal of ending poverty. This distribution would require extremely high transaction throughput and near-zero fees to be feasible for 7.9 billion accounts. |
| Multi-Lingual Data | To operate in all 7,159 known living languages, the blockchain would need a robust metadata layer capable of storing and retrieving credential information and smart contract descriptions in all languages, ensuring equity and accessibility. |
2. Global Scope and Legal Framework
Building and operating a singular, global education and financial platform involves navigating highly complex legal and regulatory hurdles across nearly 200 countries.
Legal and Governance Framework
The ambition to operate globally while being initiated from the United States poses significant legal challenges:
US Federal & California Law: The WUaS Corporation in California would establish the legal foundation. This entity would be responsible for the initial token issuance and development of the blockchain.
Regulatory Compliance: It would face intense scrutiny from the U.S. Securities and Exchange Commission (SEC) regarding the Pi-related cryptocurrency, as the token would likely be classified as a security, given its use in a public funding mechanism (UBI/ending poverty).
AML/KYC: The platform must comply with US federal Anti-Money Laundering (AML) and Know Your Customer (KYC) laws, making the universal distribution of UBI tokens without identity verification nearly impossible, directly impacting the "7.9 billion people" goal.
Global Legal Adaptation (The ~200 Countries):
The blockchain system would likely require a Decentralized Autonomous Organization (DAO) structure for governance. This DAO would enable decentralized decisions regarding curriculum, credential standards, and financial policy, allowing it to adapt to local laws and customs in each country.
It must comply with international data privacy laws (like GDPR in Europe) and respect sovereign regulations on currency and financial transfers in ~200 countries, a hurdle that would necessitate local legal counsel and technological compliance for virtually every jurisdiction.
Language Compliance (7,159 Languages): Operationalizing legal terms, privacy policies, smart contracts, and educational content in all 7,159 known living languages would require an unprecedented machine translation and verification system, likely integrated directly into the blockchain's front-end application layer.
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Google, how could I at MIT OCW-centric wiki World Univ & Sch use AlphaEvolve in developing WUaS if at all?
Published
14 May 2025
https://deepmind.google/
Asked #GeminiAIreWUaS : how could I at MIT OCW-centric wiki @WorldUnivAndSch use #AlphaEvolve - https://deepmind.google/
#GreatAIreply for #WUaScoders with time:
https://g.co/gemini/share/
AlphaEvolve graph image
Asked #GeminiAIreWUaS : how could I at MIT OCW-centric wiki @WorldUnivAndSch use #AlphaEvolve - https://t.co/Sr8ZVeu4lN in developing wiki #WUaSunivs -https://t.co/vGpG9Bmqfo & https://t.co/OedDI3heQu - if at all?#GreatAIreply for #WUaScoders with time:https://t.co/JN9puri4Gv ~
— WorldUnivandSch (@WorldUnivAndSch) October 5, 2025
Gemini image -
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WUaS logo
https://x.com/scottmacleod/
The development of the World University & School (WUaS) wiki, which aims to be a massive, global, multilingual, and degree-granting platform based on MIT OpenCourseWare (OCW), presents a number of complex algorithmic challenges ideal for a system like AlphaEvolve.
AlphaEvolve is a Gemini-powered coding agent that uses an evolutionary search framework to autonomously discover and optimize algorithms for problems with clear, quantifiable success metrics (e.g., speed, efficiency, accuracy).
Here are three primary ways WUaS could use AlphaEvolve in its technical and pedagogical development, if at all:
1. Core Platform Efficiency and Scalability
As a globally distributed wiki planned to scale to thousands of languages and serve users worldwide, the platform requires world-class efficiency. AlphaEvolve can optimize the fundamental engine of the wiki.
| Area of Application | How AlphaEvolve Would Be Used | Performance Metric to Optimize |
| Search and Indexing | Evolving a novel, high-speed search and indexing algorithm specifically tailored for the unique mixture of structured OCW content and unstructured wiki pages in many languages. | Search Latency (minimizing time from query to result) and Relevance Score (maximizing the accuracy of educational results). |
| Global Data Synchronization | Designing an optimized algorithm for distributed caching and synchronization of multi-lingual wiki content across diverse global servers, ensuring rapid page loading and low latency, especially in regions with limited bandwidth. | Page Load Speed and Data Consistency Latency (how quickly edits propagate globally). |
| Resource Scheduling | Optimizing the backend algorithms for computational resource allocation (e.g., server time, database query prioritization) for the planned video conferencing and "realistic virtual earth" features. | Compute Resource Recovery/Efficiency (e.g., minimizing cloud computing costs). |
2. Advanced Pedagogical Algorithm Design
AlphaEvolve can be leveraged to create new, specialized algorithms unique to the educational mission of WUaS, moving beyond standard wiki functionality.
| Area of Application | How AlphaEvolve Would Be Used | Performance Metric to Optimize |
| Personalized Learning Paths | Designing an adaptive recommendation engine that analyzes a student's performance, background (from the wiki profile), and learning goals to recommend the optimal sequence of MIT OCW courses, supplementary WUaS wiki pages, or specific exercises. | Student Retention Rate and Predicted Assessment Score Improvement. |
| Automated/Hybrid Assessment | Creating a highly complex, multi-objective evaluation algorithm for grading student contributions in a wiki environment, which may include assessing the quality of code, the clarity of a newly created course page, or performance in a virtual classroom. | Accuracy of Scoring against human-expert evaluations and Consistency of Grading across different courses/languages. |
| Curriculum Generation | Evolving an algorithm that can efficiently map and structure existing Creative Commons OCW content (like from MIT and Yale) into a coherent, accredited degree program (Bachelors, PhD), solving the combinatorial problem of course prerequisites and learning objectives. | Completeness of Accreditation Requirements and Efficiency of Course Mapping. |
3. Multilingual and Accessibility Enhancement
WUaS plans to operate in 7,164 living languages, making language support a critical and computationally heavy requirement.
Universal Translation Optimization: Since WUaS explicitly mentions exploring universal translators, AlphaEvolve could be tasked with designing highly efficient, domain-specific algorithms to translate STEM and academic vocabulary in OCW courses with maximum accuracy and minimal latency, serving as a layer of iterative improvement on top of existing LLM-based translation tools. The objective would be to reduce translation errors and computational cost simultaneously.
- Define the problem: Clearly describe the coding challenge you want to solve. For WUaS, this could be anything from improving the speed of page loads to building a new search function.
- Provide context: Input any relevant information, such as the existing codebase, previous solutions, or specific constraints, to help guide AlphaEvolve.
- Generate and refine code:
- AlphaEvolve will generate multiple code solutions using a large language model (LLM) like Gemini.
- It then runs these solutions, scores them based on accuracy and efficiency, and iteratively refines the best ones.
- This "evolutionary" process continues until a high-quality solution is found.
- Integrate the solution: Once AlphaEvolve provides an optimal solution, you can integrate it into the WUaS platform.
- Performance optimization:Use AlphaEvolve to find more efficient ways to serve content, which can be especially useful for a platform with a large amount of user-generated and multimedia content.
- Feature development:Have AlphaEvolve help write code for new features, such as an improved content recommendation engine or a more robust user profile system.
- Algorithm refinement:Improve the underlying algorithms that power the wiki, such as search indexing or content categorization.
- System architecture:Use AlphaEvolve to help redesign how different parts of the WUaS system work together for better scalability and stability
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The Future of Free Speech ?
https://x.com/scottmacleod/
https://x.com/WUaSPress/
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@SpeechFuture
At #FreeSpeechSummit2025,
@NitaFarahany
discusses our cognitive liberty in the digital age.
https://x.com/SpeechFuture/
Common nighthawk: Thanks & how @NitaFarahany @HankGreelyLSJU @StanfordConLaw #ProfMichaelMcConnell could #MITOCW-centric wiki @WorldUnivAndSch's planned online ~250+ #LawSchoolsWUaS help & with hiring #WUaSLawFaculty from both of your law schools (#DukeLaw & #StanfordLaw) http://scott-macleod.blogspot.
Video (just came through to smartphone on Tu May 20, 2025)
Orwell’s Last Fortress of Freedom: Human Brain in the Age of Neurotechnology
https://youtu.be/oSFnwivhIBY
https://scott-macleod.
Nita Farahany argues that the rise of neurotechnology and neural devices poses an unprecedented threat to freedom of thought, which she views as the foundation of future free expression.
Her core argument is that the existing legal framework around human rights, including free speech, is insufficient to protect people from the potential for corporations and governments to read, decode, and manipulate brain data collected by ubiquitous consumer-ready neural devices.
The Threat to Freedom of Thought
Farahany connects neural devices to future free speech through the following points:
Protecting Internal Thoughts: She stresses the urgent need to protect the "last frontier of privacy," which is our internal thoughts. Neurotechnology, especially when combined with generative AI, is rapidly closing the gap on "mind reading," making it possible to decode and interpret brain states, and potentially "literally whole sentences or paragraphs" of what a person is thinking or imagining.
Expansion of Existing Rights: Farahany argues that to address these threats, the interpretation of existing human rights must be expanded, particularly freedom of thought. She contends that freedom of thought has primarily been applied to matters like freedom of religion and belief, but must now be updated to include freedom from interception, manipulation, and punishment of our thoughts.
The Right to Cognitive Liberty: To provide comprehensive protection, Farahany advocates for establishing a new universal human right called Cognitive Liberty. This is an umbrella term that includes:
Mental Privacy: Explicitly recognizing the right to privacy for our brain and mental experiences, protecting against the full kinds of access to information in our brains in the digital age.
Freedom of Thought: Protecting the "inner monologue" and complex inner thoughts and images in our minds from interference.
Self-Determination (over our brain and mental experiences): The right to both access and use neurotechnologies, but also the right to be free from interference with one's mind.
She warns that without these safeguards, particularly a legal framework around cognitive liberty, humans could lose self-determination over their thoughts and mental experiences, creating an "Orwellian vision" where individuals may be subject to neuromarketing, cognitive shaping, or having their thoughts used as evidence.
To learn more about the legal and ethical implications of this technology, you can watch Protecting Our Freedom of Thought with Nita Farahany.
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Igloo Vision
What's next for AI at DeepMind, Google's artificial intelligence lab | 60 Minutes
https://youtu.be/1XF-NG_35NE
demis hassabis scott pelley 60 minutes )
The proposed Realistic Virtual Earth (RVE) system—incorporating a time-slider-enabled Google Earth visualization, TensorFlow AI, and Pegman Avatar Agent Electronic Health Records (EHR) for the global population—would serve as the ultimate simulation, personalization, and operational scaling platform for the genetic and age reversal discoveries coming out of George Church’s lab in 2025.
It shifts Church's research from lab results and clinical trials into a globally predictive, personalized medicine system.
1. Operationalizing Genomic Data (Matter Bio)
George Church's involvement with Matter Bio (April 2025) is focused on identifying pro-longevity genes and molecular pathways by analyzing data from 10,000+ human centenarians. The RVE system provides the necessary infrastructure to take this massive genomic and metabolomic data and make it actionable for every person on Earth.
2. Simulating and Optimizing Gene Therapy (Rejuvenate Bio)
Church’s company, Rejuvenate Bio, is focused on creating combination gene therapies (e.g., AAV vectors delivering FGF21 and Klotho) to treat multiple age-related diseases simultaneously. The RVE’s #AgingReversalMachine component, powered by TensorFlow AI (akin to DeepMind’s work), would function as a massive, high-speed simulation engine to optimize these therapies.
Virtual Clinical Trials: The Aging Reversal Machine (ARM) would run in silico (computer) clinical trials on the 7.9 billion Pegman avatars. This bypasses the long, costly, and resource-intensive human trials.
Optimization: It could predict the precise combination and dose of Church’s gene therapies needed for an individual avatar based on their unique, complex EHR data. For instance, the AI could run billions of simulations to find the optimal combination of FGF21 and Klotho expression needed to treat a specific avatar's heart failure without causing adverse effects seen in earlier trials.
Safety Pre-check: The system could flag potential off-target effects or adverse interactions (like the issues that led to the retraction of the BioViva-related paper in August 2025) before the therapy is ever introduced in a live patient, drastically improving safety.
Epigenetic Reversal Modeling: Since Church supports the idea that much aging can be reversed by epigenetic reprogramming, the ARM would simulate the insertion of genes or factors to "reset the clock" in the virtual cells of the avatar, allowing researchers to visualize the degree of age reversal achieved in different organs and tissues on the map interface.
3. The Visualization and Collaboration Layer
The proposed #WUaSHospitalMultimediaRoom (using technology like Igloo Vision) represents the command center where researchers, clinicians, and students would view the RVE. This immersive visualization environment is crucial for translating the complex genetic data and AI simulations into human-interpretable insights.
It allows a global team of experts to:
Spot Trends: Identify macro-patterns of aging, disease, and therapy response that are only visible when viewing 7.9 billion avatars simultaneously on a global map.
Collaborative Diagnosis: Clinicians can "walk" a Pegman patient's avatar through their life history on the time-slider, view their specific genetic risks, and consult the ARM’s predicted optimal gene therapy in a shared, immersive space.
Educational Tool: For the "MIT OCW-centric wiki World University and School," the RVE becomes a real-time, living textbook on human genetics and aging, accelerating education and new breakthroughs
Gemini: George Church age reversal 2025
? Besides "As of October 2025, George Church has not announced full age reversal in humans, but he is actively involved in developing gene therapies and other technologies to combat age-related diseases and promote cellular rejuvenation" ?
As of October 2025, George Church's work on age reversal is primarily focused on gene therapy and large-scale data analysis to combat age-related decline, with several notable developments:
Research and Business Updates
Longevity Gene Therapy Platform: His work through the company Rejuvenate Bio continues to focus on developing combination gene therapies, often using adeno-associated virus (AAV) vectors, to deliver multiple longevity-associated genes (like FGF21, Klotho, and sTGF β R2) in a single treatment. The goal is to address multiple age-related diseases simultaneously, a concept supported by earlier mouse studies. The strategy for human trials is anticipated to involve first developing a veterinary product for dogs.
Decoding Exceptional Longevity (Matter Bio): Dr. Church is a co-founder of Matter Bio, which in April 2025 announced a collaboration to decode exceptional longevity. This initiative involves analyzing multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) from over 10,000 human centenarians and other long-lived species. The aim is to use AI to identify key pro-longevity genes and molecular pathways that can be targeted for future gene therapies to enhance cellular longevity.
Retraction of an Anti-Aging Paper: A 2022 anti-aging gene therapy paper co-authored by Dr. Church, which claimed to support a purported nasal spray treatment, was formally retracted in August 2025 due to "data discrepancies." Church, who served as an advisor for the company involved (BioViva), reportedly agreed to the retraction.
Philosophical and Media Statements
Hybrid Model of Aging: Church continues to advocate for a "hybrid model" of aging, suggesting that while some damage is irreparable, a "surprising amount" of aging can be reversed through epigenetic reprogramming by introducing certain genes or factors into the bloodstream via multiplex gene therapy.
Long-Term Projection: In recent discussions, he has maintained a long-term optimistic view, suggesting that with exponential advances in biotechnology and therapies moving into clinical trials, a point of "escape velocity" for aging—where life expectancy increases faster than one year for every year lived—is possible. However, he has offered a cautious estimate for the broader impact of full rejuvenation, saying he "wouldn't be surprised if 2050 would be a point."
Public Appearances: Dr. Church continues to be a prominent voice in the field, with a scheduled public discussion on age reversal and genetic engineering as recently as September 2025.
In summary, George Church's age reversal work in 2025 focuses on practical, multi-gene therapies targeting multiple diseases of aging, supported by a major project to analyze the genetics of centenarians, even while the field faces the scrutiny of a research retraction.
- Cellular Rejuvenation:Church's lab works on identifying genes that can reverse the "transcriptome clock" of a cell, returning it to a more youthful state, according to the Wyss Institute.
- Gene Therapy for Age-Related Diseases:A key focus is using gene therapy to boost specific proteins that decline with age. This aims to help organisms recover from age-related diseases rather than just extending lifespan, notes InsideTracker.
- Focus on Protein Delivery:Instead of delivering genetic material to every cell, Church's strategy involves delivering a small amount of genes to a few cells, which then produce and distribute the rejuvenating proteins throughout the body, explains the InsideTracker Blog.
- Ichor Project:This research initiative aims to reverse aging in hematopoietic stem cells (HSCs) to improve the outcomes of HSC transplants and increase the availability of viable cells for patients.
- Rejuvenate Bio:Church co-founded this company with the goal of developing full age-reversal gene therapies by targeting key genes involved in aging, reports Longevity.Technology.
- Early-Stage Reversal:While full age reversal in humans hasn't been achieved, experiments in animals have shown reversal of age-related biomarkers, and some therapies are in the initial stages of clinical trials, says the InsideTracker Blog
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