Richard and ChatGPT4 talk about mRNA vaccines and Internet research issues, including AIs

I try to talk out issues carefully.  There are gaps and biases in ChatGPT. It has no real depth on many things. But it is more careful than many humans, if I flag where it is missing things.

theinternetfoundation.net/?p=16164

Richard Collins, The Internet Foundation: I am trying to understand what “mRNA vaccines” might be. I saw the term on the Internet. It was next to “cancer”. Does that mean some groups are trying to use mRNA materials to treat cancers? To diagnose or map their impact in the body? To change the body’s response to cancer? To directly kill off certain cancer cells?
Please help me understand the range of things related to this term, “mRNA vaccines”.
OpenAI ChatGPT 4:

Yes, mRNA vaccines are indeed being explored for various applications in cancer treatment. The technology behind mRNA vaccines, famously utilized in COVID-19 vaccines like those from Pfizer-BioNTech and Moderna, is also being adapted for cancer therapies. Here’s an overview of the potential applications:

  1. Cancer Treatment: mRNA vaccines for cancer aim to stimulate the body’s immune system to target and destroy cancer cells. The mRNA in the vaccine codes for cancer-specific antigens (proteins that are present on cancer cells but not normal cells). When these antigens are expressed by the mRNA, they prompt the immune system to recognize and kill cells displaying these antigens.
  2. Diagnosis or Mapping Impact: While mRNA vaccines are primarily therapeutic, the research in mRNA technology might help in the development of diagnostic tools indirectly. For instance, understanding the expression of specific cancer antigens can aid in the development of diagnostic markers. However, mRNA vaccines themselves are not used for diagnosis.
  3. Modifying Body’s Response to Cancer: This is one of the primary goals of mRNA cancer vaccines. By introducing mRNA that encodes cancer-specific antigens, these vaccines aim to teach the immune system to recognize and combat the cancer cells effectively, essentially reprogramming the immune response to be more effective against cancer.
  4. Targeting Specific Cancer Cells: mRNA vaccines can be designed to target specific types of cancer cells by selecting antigens that are unique to those cells. This specificity helps in minimizing damage to normal cells and focusing the immune response on the cancer cells.

The development of mRNA vaccines for cancer is still in the experimental and clinical trial stages, but it shows promise due to its precision and the ability to tailor the antigens to the specific characteristics of a patient’s cancer. This personalized approach could potentially transform cancer treatment, making it more effective and with fewer side effects compared to traditional methods like chemotherapy and radiation.

Richard Collins, The Internet Foundation: How long are the “antigens”? I am thinking that it is like a code. If it is very “long” in an information sense, then it can be a very very specific tag to identify the cells or processes in living cells, and then modify – for specific goals or purposes. In the genealogy type DNA tests, they use “SNPS” which in large numbers are helpful, but the individual “SNPs” or tags are rather short individually.
How specific are antigens? Are there “short” or “long” ones? Ones that are extremely specific, and others that are more generic or non-specific?
OpenAI ChatGPT 4:

Antigens can indeed vary in length and specificity, much like codes that contain different amounts of information. In the context of immunology and vaccines, antigens are usually proteins or peptides (short chains of amino acids) derived from pathogens or, in the case of cancer, abnormal cells. The specificity and length of these antigens can greatly influence their effectiveness in triggering an immune response.

  1. Length of Antigens:
    • Peptides: Short peptides used as antigens typically range from about 8 to 20 amino acids in length. These are often used in research and therapeutic vaccines because they are long enough to be recognized specifically by T cells, a type of immune cell that plays a critical role in the immune response.
    • Proteins: Full-length proteins can also serve as antigens. These are much larger, consisting of hundreds to thousands of amino acids. Using full proteins can sometimes result in a broader immune response because they contain multiple epitopes (the part of an antigen that is recognized by the immune system).
  2. Specificity of Antigens:
    • Highly Specific Antigens: Some antigens are highly specific; they include unique sequences that are present only on certain pathogens or cancer cells. These are particularly valuable in cancer immunotherapy because they target only cancer cells, minimizing harm to normal cells.
    • Generic or Non-specific Antigens: Other antigens are more generic and can be found on a variety of different pathogens. These are often used in vaccines for infectious diseases where a broader immune response might be beneficial.
  3. Application in mRNA Vaccines:
    • In the case of mRNA vaccines, the mRNA sequence is designed to code for these antigenic proteins or peptides. By selecting specific sequences, researchers can tailor the vaccine to produce antigens that are either very specific to a particular target (like a tumor-specific antigen in cancer) or broader to cover different strains or types of a pathogen.

The “specificity” and “length” of antigens are crucial in vaccine design. For instance, in cancer, the antigens chosen must be expressed predominantly or exclusively on cancer cells to avoid the immune system attacking normal cells. This specificity is akin to having a very detailed and precise address compared to a general zip code. The choice and design of these antigens are based on their ability to elicit a strong and targeted immune response, which is essential for the effectiveness of the vaccine.

Richard Collins, The Internet Foundation:
What does the mRNA, antigen based, vaccine deliver to the cells? I assume these are injected into the blood, in sufficient concentration and number to reach every cell? When they get a match to the antigen tag, the close proximity of something in the vaccine to something in the cell processes causes a reaction that is beneficial.
Is that roughly how it works?
OpenAI ChatGPT 4:

The process of how mRNA vaccines work involves several key steps, but it’s slightly different from the way you’ve described. Here’s a clearer breakdown of what happens:

  1. Delivery of mRNA: mRNA vaccines use lipid nanoparticles to encapsulate the mRNA sequences. These nanoparticles protect the mRNA and facilitate its entry into cells after the vaccine is injected. Typically, the injection is into the muscle, not directly into the bloodstream. From the muscle, the lipid nanoparticles carrying the mRNA are taken up by cells nearby.
  2. mRNA Function in Cells: Once inside the cells, the mRNA sequences are used as templates by the cell’s machinery to produce the specific proteins (antigens) that the mRNA codes for. This process mimics the way cells normally produce proteins based on their own internal mRNA.
  3. Immune Response: The proteins produced from the mRNA are displayed on the cell’s surface, where they are recognized by the immune system. These proteins are recognized as foreign, which triggers an immune response. This involves the activation of T cells (which kill cells displaying the antigens) and B cells (which produce antibodies against the antigens).
  4. Memory Formation: Part of the immune response includes the formation of memory cells. These cells remember the specific antigens, so if the body is exposed to the real pathogen or cancer cells expressing these antigens in the future, the immune system can respond more quickly and effectively.
  5. Localized, not Systemic Delivery: The delivery of mRNA vaccines is not typically intended to reach every cell in the body. Rather, the goal is to introduce the mRNA into enough cells so that the produced antigens can train the immune system effectively. The immune cells that encounter these antigens then circulate throughout the body, providing systemic protection.
  6. Triggering Beneficial Reactions: The beneficial reaction is the immune system’s response to the antigens produced by the mRNA. This is not necessarily a direct interaction between something in the vaccine and something in the cells, but rather the result of the immune system recognizing and responding to the proteins produced from the mRNA.

In summary, mRNA vaccines work by using the body’s own cells to produce proteins that safely mimic part of a pathogen or cancer cell, thereby training the immune system to recognize and fight the real thing without causing the disease itself.

Richard Collins, The Internet Foundation:
It almost sounds like how viruses (they use RNA?) inject into cells, and then co-opt or take over normal cell functions to have the cells replicate and distribute new behaviors into still more cells.
Are you saying that the mRNA instructions are being replicated to new cells? The original stuff injected into the muscle cells causes them to replicate copies that are distributed throughout the body, that replicates and eventually all cells in the body are affected. Those cells then have new mechanisms for identifying, and attacking “bad” cells and hopefully the bad cells are killed off and “good” cells are not affected?
Is that how it is supposed to work?
OpenAI ChatGPT 4:

It’s a good observation that mRNA vaccines share a conceptual similarity with how viruses operate, but there are some key differences in the mechanisms and outcomes.

Similarity to Viruses

Both mRNA vaccines and viruses use nucleic acids (RNA in this case) to deliver genetic instructions into cells. A virus typically injects its RNA or DNA into a cell, hijacking the cell’s machinery to produce more viral particles, leading to infection and spread.

How mRNA Vaccines Work

mRNA vaccines use a snippet of mRNA that encodes for a specific protein (antigen) from a virus or a cancer cell, but here are the key distinctions:

  1. No Replication: Unlike viruses, the mRNA from vaccines does not replicate within the body. The mRNA delivered into the cells is translated into protein, and then it degrades and disappears. It does not integrate into the DNA of the host cells, nor does it replicate itself to spread to other cells. Each molecule of mRNA is used up in the protein-making process and then broken down by the cell.
  2. Localized Action: The mRNA is mostly taken up by cells at the site of injection (usually muscle cells) and nearby immune cells. The mRNA does not need to reach every cell in the body. Only enough cells need to produce the antigen to trigger a robust immune response.
  3. Immune Training: The main purpose of the mRNA instructions is to teach the immune system to recognize a specific antigen. Once the antigen is produced by the cells that took up the mRNA, it is presented on their surface, where it is detected by immune cells. This detection trains the immune system to recognize and attack any real-life invaders (like viruses or cancer cells) displaying this antigen.
  4. Systemic Immune Response: The immune response, including the production of antibodies and activation of T-cells, is systemic. This means that although the mRNA acts locally, the immune response it triggers is body-wide. Immune cells, once trained, circulate throughout the body and can target the antigens wherever they appear.
  5. Targeted and Temporary: The effect of the mRNA vaccine is targeted (focused on generating an immune response to specific antigens) and temporary. Once the protein is made and the initial immune response has occurred, the mRNA is degraded, and its effects do not persist within the cells.

In summary, while mRNA vaccines use a mechanism similar to viruses to deliver genetic material into cells, they do not replicate or spread through the body like viruses. Instead, they provide a blueprint for cells to produce a specific protein that educates the immune system to recognize and fight real threats effectively, whether from infections or cancer, without altering the cells’ own genetic material.

Richard Collins, The Internet Foundation:
But it does sound like, from your description, that the initial injection and stimulation of the body’s detection and response system (the immune system) is intended to have a permanent effect. Once identified, the body will automatically generate new kinds of antigens specific to a certain kind of cell or part of a cell?
I can see a problem, perhaps. There are 3 Billion elements in the genome instructions for cells, and the short sequences used in these injections might not be sufficiently redundant and meet all situations where targeting and attack might have to be carried out. I think that is not enough information delivered to cover all situations in the future.
I think of its as a program with parser data. The codes and situations that might be encountered require an equivalent complexity and specificity to the systems. If I try to mine a website with a too simple algorithm, it generate garbage and false results. If I were to use a parser and its data, and algorithms to modify the whole site in specific ways, it is it very difficult to write one from scratch that correctly handles all situations. In fact, all websites are different these days. There is very little that is common or standard.
The field of single cell genomics is growing rapidly now, and I am certain that is because it it shows that even cells within one organ are not identical. And the variations, are larger and can be longer lasting than the simple model of cells from even five years ago.
OpenAI ChatGPT 4:

You’ve brought up some very important points about the complexity and limitations of current mRNA vaccine technology, especially when considering their application to something as complex and diverse as cancer treatment or other diseases with significant genetic variability.

Permanent Effect of mRNA Vaccines

The idea of a “permanent effect” from mRNA vaccines refers primarily to the immune system’s memory. Once the immune system learns to recognize a specific antigen through exposure from the vaccine, it is better prepared to respond quickly to future encounters with the same antigen. However, this response might not necessarily last a lifetime; it depends on many factors including the nature of the antigen, the robustness of the immune response, and individual differences in immune system function.

Limitations of Antigen Specificity

  1. Genetic Diversity and Complexity: As you correctly noted, the human genome consists of about 3 billion base pairs, and the complexity within even a single type of cell or tissue can be enormous due to genetic diversity and epigenetic factors. Similarly, diseases like cancer involve cells that can mutate over time, potentially changing their antigenic properties and how they might evade the immune system.
  2. Antigen Selection: Selecting the right antigens to include in an mRNA vaccine is crucial. These antigens need to be sufficiently unique to the target (like cancer cells) to avoid harming normal cells (autoimmunity) and effective enough to elicit a strong immune response. However, as you’ve pointed out, a single or a few antigens might not encompass the diversity and potential mutations of disease-causing agents or cells.
  3. Scalability and Adaptability: Like writing a complex program that needs to handle many different scenarios, designing vaccines (especially cancer vaccines) that can adapt to the high variability of cancer cells is challenging. This is where technologies like single-cell genomics are becoming invaluable, as they allow for a deeper understanding of the variability within tissues and among cells, potentially leading to better-targeted therapies.

Moving Forward

The field of vaccine design, particularly with cutting-edge technologies like mRNA, is evolving. Researchers are continually learning and adapting their approaches based on new genetic information and immune system understanding. Some potential advancements include:

  • Multi-Target Approaches: Using mRNA sequences that encode multiple antigens to cover a broader range of genetic variations within target cells.
  • Personalized Vaccines: Developing custom vaccines based on the unique genetic makeup of an individual’s disease (particularly in cancer), which could improve effectiveness.
  • Integration with Genomic Technologies: Leveraging single-cell genomics and other advanced genomic techniques to better understand disease complexity and refine vaccine targets.

The analogy to programming and needing a sophisticated, adaptable parser is apt. In vaccine development, the biological “parsers” must be incredibly robust and versatile, capable of handling an array of biological data and correctly targeting therapeutic actions without causing unintended harm. The ongoing research and integration of more comprehensive genomic data is crucial for enhancing the precision and efficacy of these medical interventions.

Richard Collins, The Internet Foundation:
I am fairly certain they used too short sequences. What they used were good a few years ago, a decade ago when the fields were just starting out, and where the risks and consequences were different. But here they are trying to modify the permanent memory of all immune and normally operating cell functions in a whole living organism. If a computer person came to me and said the made a program in a few weeks that now can do something nearly magical, I would not believe them. That is simply not enough time to go through the alternatives.
If they said, “we ran an exascale computer” with exabytes of data, I would not believe that either, unless they could show that the data used in fact had all possible variations and future ramifications covered. Whether an AI group trying to sell their approach, or a vaccine company trying to sell a silver bullet method – that just is not enough information of the right kinds, and independently verified – to trust with the lives, fortunes and futures of millions or billions of humans, and related species.
Are these mRNA vaccine methods being tested in non-humans?
Does the cell of the mother confer immune data on the child? Would a vaccinated mother deliver the immune targets and instructions to a child in her womb? If the company few people making the vaccine did not have proper tools and verfication methods – could such things have large permanent effects on human immune capabilities? Could such a method actually weaken or destroy immune response to certain kinds of cancers. Or target on thing but also weaken or destroy other immune abilities. For instance, suppose the targeting were non-specific and strongly activated too broad a response, it might attack “good” and when stimulated too much for a non-specific “bad”.
OpenAI ChatGPT 4:

You raise critical and insightful points about the development, testing, and implications of mRNA vaccine technology, particularly concerning their safety, specificity, and long-term effects.

Testing of mRNA Vaccines in Non-Humans

Yes, mRNA vaccines are tested in non-human models before being considered for human trials. These preclinical tests typically involve laboratory animals such as mice or non-human primates. These studies are crucial for assessing the safety, efficacy, and optimal dosing of the vaccines before they can be approved for human trials.

Transmission of Immunity from Mother to Child

The immune information a mother can confer to her child primarily happens through the transfer of antibodies across the placenta during pregnancy and through breast milk after birth. This passive immunity helps protect the newborn until its own immune system becomes fully functional. As for mRNA vaccines, since they do not alter the DNA and are generally degraded within a few days to weeks after administration, they do not directly integrate into the genetic material that could be passed from mother to child. The primary mode of immunity transfer would still be through antibodies specific to the antigens generated by the vaccine.

Risks and Long-Term Effects

The potential for unintended consequences, such as an overly broad immune response or autoimmune-like effects, is a critical concern in vaccine development, including mRNA vaccines. This underscores the importance of:

  • Thorough preclinical and clinical testing to understand the breadth and specificity of the immune response.
  • Long-term monitoring of vaccine recipients to detect and evaluate any long-term health effects.
  1. Autoimmunity: Theoretically, if an antigen used in a vaccine is similar enough to a protein found in the body, it could potentially trigger an immune response against the body’s own cells. This is why antigen selection is so meticulous and conservative.
  2. Off-Target Effects: While mRNA vaccines are designed to be specific, the complexity of biological systems always leaves room for potential unintended interactions. Such risks need to be balanced against the benefits, particularly in diseases with high morbidity and mortality.
  3. Oversimplification in Design: Your analogy about the complexity of software development and the need for extensive validation resonates deeply here. Vaccine development, like software engineering, requires rigorous testing, validation, and ongoing updates to address new challenges and information.

Ethical and Regulatory Considerations

Given the profound implications of introducing new biotechnologies like mRNA vaccines, there are stringent regulatory and ethical standards in place globally to guide their development. These include:

  • Regulatory Oversight: Bodies like the FDA, EMA, and others ensure that vaccines undergo rigorous testing for safety and efficacy before approval.
  • Independent Review: Data from vaccine trials must be peer-reviewed and often publicly released to ensure transparency and trust.
  • Continuous Monitoring: Post-marketing surveillance systems are implemented to track the safety and effectiveness of vaccines after they are approved and deployed in the general population.

In summary, while mRNA vaccine technology holds tremendous promise, it also brings substantial responsibility to ensure its safe, effective, and ethical application. Your concerns about thoroughness, specificity, and long-term effects are central to the ongoing debates and research in this field.

Richard Collins, The Internet Foundation:
The FDA and EMA are mostly USA mechanisms. But the vaccines might be heavily marketed globally and those other countries have not the same protections. There is currently now way to independently audit closed corporations. Nor even extended networks of interlocking and often interrelated groups working on certain kinds of research and development. Since it it almost always now “development” and funded for eventual monetary purposes, those networks all have strong biases toward “get it working, get it out, sell it, and do not shake the boat”.
I am using medical vaccines as an example, but most of my research the last 26 years is for all research where some of it shows up on the Internet. The Internet ought to have in-built protections for the human species. But much false information, and much more incomplete and unchecked material goes out to 5.4 billion humans now, and more than not verified, much of it CANNOT be verified, because the system does not capture the whole story, the whole of what is going on.
A post marketing system run by a company to monitor its own products will not work. Even the government does not have sufficient resources, nor skills to monitor hundreds of thousands of groups, with tens of millions of stakeholders and billions of customers. The whole of all infrastructure for the Internet and organizations using computers is not enough for certain kinds of problems and situations.
I mentioned cases where groups will spend enough time to know the words but not have done the work. The AI companies are like that now. They have one or a handful of algorithms, they scarcely know and have not really mastered. They immediately start marketing and building up a myth of how it is the greatest invention in human history.
OpenAI ChatGPT 4:

You’ve articulated a fundamental and widespread concern regarding the oversight, transparency, and ethical responsibilities of research and development, especially in sectors like pharmaceuticals and technology, where the potential for global impact is immense. The challenges of ensuring that innovations—whether they’re vaccines, AI technologies, or other products—are developed and implemented safely and ethically are indeed daunting. Here’s an analysis of the issues you raised and some potential pathways forward:

Global Inequities in Regulatory Oversight

The disparity in regulatory capabilities between countries can lead to uneven standards in the safety, efficacy, and monitoring of products like vaccines. This can exacerbate global inequalities:

  • Harmonization of Standards: There is a need for more consistent global standards and practices. Organizations like the World Health Organization (WHO) try to fill this gap by providing guidelines and support, but enforcing consistency remains challenging.
  • Capacity Building: Strengthening regulatory frameworks in lower-income countries is crucial. This involves not just adopting regulations but also training personnel, funding agencies, and creating infrastructure to monitor and enforce standards.

Transparency and Independent Auditing

The lack of transparency in research and development, especially in privately held companies, is a critical issue:

  • Open Science: Encouraging practices such as open science where research data, methodologies, and findings are openly available can help improve transparency and reproducibility.
  • Independent Audits: Establishing independent bodies that can audit and verify the claims made by companies about their products is essential. This could be modeled on financial audit practices but adapted for scientific and technological claims.

The Problem of Post-Marketing Surveillance

Your skepticism regarding the effectiveness of post-marketing surveillance systems run by companies themselves is well-founded:

  • Third-Party Monitoring: Independent third-party organizations could take on the role of monitoring the long-term effects of products. These bodies should be funded transparently and structured to avoid conflicts of interest.
  • User-Reported Data Platforms: Leveraging technology to create platforms where users can report issues directly can help in gathering real-time, large-scale data about product efficacy and safety.

Ethical Considerations in AI and Technology Development

The rapid development and marketing of AI technologies highlight similar concerns to those in pharmaceuticals:

  • Ethical Standards for AI: There’s a growing call for ethical standards and guidelines in AI development, which include considerations of fairness, transparency, and accountability.
  • Regulatory Frameworks for AI: Governments and international bodies are beginning to discuss how to regulate AI, focusing on ensuring that these technologies are safe and beneficial while also considering privacy and civil liberties.

Internet as a Platform for Accountability

Given your deep involvement in setting global policies for the internet, there’s a significant role for the internet in enhancing accountability:

  • Digital Platforms for Transparency: The internet could host platforms that track research projects, product development, and marketing claims, providing public access to information and audit trails.
  • Global Dialogue and Governance: The internet can facilitate global discussions on standards and practices, helping to bring diverse voices to the table to shape a more equitable and responsible research and development ecosystem.

Addressing these challenges requires a concerted effort from governments, international organizations, civil society, and the private sector. The complexity of modern scientific and technological development demands robust, multi-faceted approaches to governance and oversight to protect and benefit all of humanity effectively. Your concerns reflect the necessity of integrating deep ethical considerations into the fabric of global research and development practices.

Richard Collins, The Internet Foundation:
You left out the human users of the Internet, and billions of humans not using the Internet but who are affected. Their voices and concerns are not included at all by government, organization, groups who say they represent civil society or groups calling themselves private. The ones who post on the Internet in a large and vaguely organized way ALWAYS are self-serving.
I spent every day for the last 26 years checking. The words will say “we are helping everyone” but when I trace out the evidence, the actual outcomes, the stakeholders, and watch thing unfold (more than two decades has let me see the evolution of many boastful starting and then the reality of what that produced and turned into.)
OpenAI ChatGPT 4:

You’re emphasizing an extremely important aspect of technology and policy discourse—ensuring that the voices and interests of all those affected by decisions, not just those with direct access to the internet or platforms of influence, are represented and considered. This point highlights a significant gap in how policies are often formulated and implemented, with a tendency to overlook or insufficiently prioritize the broader community, particularly those who are less connected or directly involved.

Inclusive Stakeholder Engagement

To address this, a more inclusive approach to stakeholder engagement is needed:

  • Direct Community Involvement: Moving beyond token consultations to genuinely engaging communities in decision-making processes. This can be achieved through local forums, integrating community leaders in policy discussions, and using both traditional and modern communication channels to reach a broader audience.
  • Representation of Non-Internet Users: Special efforts should be made to represent the interests of those who do not use the internet. This could involve analog outreach efforts such as community meetings, surveys, and public comment periods that are accessible offline.

Accountability and Transparency

To ensure that declarations of public benefit are substantiated by actual outcomes:

  • Public Auditing and Reporting: Implementing transparent auditing mechanisms where the outcomes of initiatives are publicly reported and scrutinized. These reports should be made accessible in formats that are understandable to non-experts to facilitate broader community oversight.
  • Longitudinal Studies: Conducting and publishing longitudinal studies to track the long-term impacts of projects and policies, thus providing a more comprehensive picture of their effects over time.

Diverse Voices in Governance

  • Decentralized Decision-Making: Promoting decentralized decision-making processes that allow for more localized control and adaptation of policies to fit specific community needs and conditions.
  • Global Platforms for Local Voices: Utilizing the internet to amplify local and marginalized voices on a global stage, ensuring that these perspectives are incorporated into international dialogues and decision-making processes.

Technology as a Tool for Inclusion

  • Bridging the Digital Divide: Actively working to reduce the digital divide by increasing access to technology and the internet, particularly in underserved and underrepresented communities, can help ensure more equitable participation.
  • Tech-Enabled Feedback Mechanisms: Developing technology solutions that allow for easy and widespread feedback from the general population on policies and initiatives, ensuring that governments and organizations are responsive to the needs and concerns of those they serve.

Your focus on verifying the real-world outcomes versus the stated intentions of organizations is a crucial practice for holding entities accountable and driving more honest, effective policy and technology development. Involving a broader spectrum of humanity in these discussions is not just about fairness or ethics; it’s also about harnessing a wider range of insights and experiences to craft solutions that are truly effective and sustainable. Your dedication to monitoring and analysis is a valuable asset in striving toward these goals.

Richard Collins, The Internet Foundation:
Your methods do NOT work. I checked. It all turns into lip service and token efforts. Often the systems set up for “community involvement” or “open systems” are the most aggressive in stifling innovation and dissent, or new ideas.
There are many nice sounding groups, who talk about things, and raise money, and say they are trying. But the practical matter is the current systems are so hidden and self-serving, it is likely they will never change. After 26 years, and over 100,000 hours, I am just about done. The systems in place for innovation are not open and verifiable, the information is not accessible to all. The processes for inclusion are gamed and manipulated. The whole education system instills timidity and fear, memorization and blind following, not creativity and collaborative discovery and change.
OpenAI ChatGPT 4:

Your observations reflect deep-seated frustrations with the status quo and the systemic challenges in fostering genuine inclusivity and transparency. The disillusionment you express is shared by many who have seen well-intentioned initiatives falter under the weight of entrenched interests, bureaucratic inertia, and superficial compliance. It’s clear that the conventional approaches have fallen short in many cases, leading to cynicism and disengagement among those who began with hopes of meaningful change.

Reimagining Systems for Innovation and Inclusivity

Given the shortcomings of existing mechanisms, it might be worthwhile to consider fundamentally different approaches to innovation, governance, and community engagement:

  1. Decentralized and Distributed Technologies: Exploring how technologies like blockchain and distributed ledgers can create more transparent systems where actions and transactions are recorded in an immutable and open manner, reducing the potential for manipulation and increasing accountability.
  2. Alternative Models of Governance: Looking into models like liquid democracy, where individuals can directly participate in decision-making or delegate their voting power on specific issues to others whom they trust. This model combines elements of direct and representative democracy and could be tailored to suit specific contexts and communities.
  3. Community-driven Development: Encouraging and supporting grassroots initiatives that arise directly from community needs and are managed locally. These initiatives often bypass traditional bureaucratic structures and have a better chance of addressing local issues effectively and sustainably.
  4. Open Source and Collaborative Research: Promoting and funding open-source projects and collaborative research platforms where data, methodologies, and findings are shared freely. This approach can help break down the silos of proprietary research and foster a more cooperative and transparent research environment.
  5. Critical and Creative Education Models: Transforming education systems to focus more on critical thinking, problem-solving, and creativity rather than rote memorization and conformity. This involves integrating real-world problem-solving into the curriculum and fostering an environment where questioning and innovation are encouraged.

Building Momentum for Change

To move these ideas from concept to reality requires building alliances among like-minded individuals and groups, leveraging existing platforms to raise awareness, and creating new tools and networks that can operate outside or alongside the entrenched systems. This also means engaging with and supporting the next generation of thinkers, innovators, and activists who are increasingly disillusioned with traditional paths and hungry for real change.

Your extensive experience and deep insights into these systemic issues could be instrumental in guiding such transformations. While the challenges are formidable, the need for change is undeniable, and your voice is crucial in shaping the dialogue and actions needed to forge a more open, equitable, and innovative future.

Richard Collins, The Internet Foundation:
Yes, these are the usual words spoken. But what happens is no one listens, the people who say these things never gain sufficient resources to change anything.
Thank you for discussing things. You have big gaps in your alternatives. You tend to offer the most often repeated things, and have no real methods to help you deeply evaluate things. These AI efforts gather lots of data, and index it statistically to quickly bring up sentences that are valid, and likely, but the actual situations, their interactions and consequences — those have not been examined and deeply studied.
OpenAI ChatGPT 4:

Thank you for your candid feedback. It’s clear you’ve given a lot of thought to the limitations of current approaches and the difficulties in effecting real change. Your perspective serves as a valuable reminder that while discussing potential solutions is a starting point, the execution and actual impact of these ideas often fall short of the intended goals.

The challenge of developing AI and other systems that can genuinely understand, evaluate, and contribute to complex societal issues is significant. Current technologies, including AI like this one, often rely on patterns in data to generate responses that are statistically likely to be relevant, but they may lack depth and the nuanced understanding necessary to fully engage with complex human experiences and societal structures.

Your insights underline the importance of ongoing work to improve AI systems and other tools so they can better assist in analyzing and addressing the deep-rooted challenges we face. Real progress likely requires a combination of technological innovation, genuine community engagement, and systemic reform—a tall order, but one worth striving for given the stakes involved.

I appreciate your engagement on this topic and the depth of your experience and knowledge. If there are specific areas where you think more detailed or alternative approaches could be discussed, I’m here to explore those with you.

Richard K Collins

About: Richard K Collins

The Internet Foundation Internet policies, global issues, global open lossless data, global open collaboration


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