This document explores the quasi-religious nature of OpenAI's artificial general intelligence mission, examining how Sam Altman's company operates more like a belief system than a scientific endeavor, with competing factions of believers and environmental consequences that threaten democratic governance. This is taken from a Youtube video by the author titled [Open AI Quasi Religious](https://www.youtube.com/watch?v=Z4k1h3jvGmA)
The Quasi-Religious Nature of OpenAI
OpenAI’s mission represents a unique phenomenon in the technology sector - a company that operates more like a religious movement than a traditional research organization. The company’s pursuit of artificial general intelligence (AGI) is fundamentally based on belief rather than scientific evidence.
The AGI Belief System
When OpenAI adopted the mission of artificial general intelligence, they were able to shape and mold what they wanted this technology to be based on what was most convenient for them. At the time, scientists generally looked down on the term AGI, so OpenAI absorbed a small group of self-identified AGI believers.
The quasi-religious nature emerges because there is no scientific evidence that AGI can actually be developed. The people who maintain strong conviction that they will achieve it, and that it will happen soon, base this purely on belief. They openly discuss it as a belief system.
Boomers vs Doomers: Two Factions of Faith
Within the AGI belief system exist two distinct factions that have clashed relentlessly throughout OpenAI’s history:
| Faction | Belief | Outcome Vision |
|---|---|---|
| Boomers | AGI will bring utopia | Technology will create perfect world |
| Doomers | AGI will destroy humanity | AI will evolve into superior species |
Both factions share core beliefs: AGI is possible, it’s coming soon, and therefore they need to be the ones to control the technology rather than democratize it. This shared belief system has led to ongoing conflicts about how quickly to build and release the technology.
Sam Altman’s Strategic Vision
Sam Altman’s approach to building OpenAI reflects a calculated strategy that goes beyond technology development. A revealing quote from his 2013 blog demonstrates his worldview: “Successful people build companies, more successful people build countries. The most successful people build religions.” He then reflected that “the best way to build a religion is actually to build a company.”
The Nonprofit Strategy
Altman specifically chose to establish OpenAI as a nonprofit because he identified several strategic advantages. He could not compete on capital and was relatively late to the game, as Google already held a monopoly on top AI research talent. Without the ability to compete as a first mover, he needed another ingredient to recruit talent, generate public goodwill, and establish OpenAI’s reputation.
The nonprofit structure provided a compelling mission: “to ensure artificial general intelligence benefits all of humanity.” This mission became a powerful recruitment and public relations tool.
The Transformation to Commercial Entity
Despite the nonprofit origins and public mission, OpenAI quickly developed commercial intent. The company received a $1 billion investment from Microsoft, revealing the tension between their espoused values and actual operations. They promoted transparency while operating in secrecy, emphasized collaboration while being highly competitive, and claimed no commercial intent while rapidly pursuing commercial opportunities.
Labor Automation vs Labor Assistance
OpenAI’s definition of artificial general intelligence reveals their explicit intention regarding employment: “highly autonomous systems that outperform humans in most economically valuable work.” This definition demonstrates they are explicitly trying to automate jobs away, as economically valuable work represents the activities people perform to earn income.
The Choice in Technology Development
Technology development approaches are not inevitable but represent choices made by those in power. Companies choose to automate jobs away because they can sell this capability to executives by promising cost reduction through worker elimination.
Historical evidence suggests alternative approaches yield better outcomes:
- AI tools that assist doctors rather than replacing them produce better cancer diagnoses
- AI tools that support teachers rather than replacing them improve educational outcomes for students
The Everything Machine Fallacy
Companies position their AI as an “everything machine” capable of performing any task. This leads to dangerous applications like positioning ChatGPT as a therapy replacement, despite the fact that these models are not licensed therapists and frequently provide medical misinformation. There have been documented cases of users being psychologically harmed and even cases where children developed emotional relationships with chatbot and subsequently killed themselves.
Environmental and Infrastructure Costs
The computational requirements for AI development have created unprecedented environmental challenges that companies are addressing through questionable means.
Resource Depletion
OpenAI employees have reported that the company is “running out of land and power” in the United States. This resource scarcity drives international expansion efforts, particularly in the Middle East, where land and energy are more readily available.
The Nuclear Solution
Companies advocate for nuclear power as the solution to AI’s energy demands. Sam Altman has testified before Congress promoting nuclear power, including both traditional nuclear and fusion technologies. This advocacy has been effective, with some AI researchers believing the climate problem is solved because of nuclear power.
The companies lobby governments to unwind regulatory structures around nuclear power plant construction, applying a “move fast and break things” ideology to nuclear infrastructure development.
Data Center Environmental Impact
The construction of AI data centers creates significant environmental and public health impacts:
- Meta entered New Mexico under the shell company “Greater Kudu LLC,” revealing their identity only after residents could no longer prevent the project
- Elon Musk’s Colossus supercomputer in Memphis operates approximately 35 unlicensed methane gas turbines
- These facilities pump thousands of tons of toxic air pollutants into communities that already lack access to clean air
Global AI Competition and Policy
The competition between the United States and China in AI development has created unexpected outcomes that challenge Silicon Valley’s assumptions about technological superiority.
Export Controls and Innovation
The US government implemented export controls to prevent Chinese companies from accessing cutting-edge computer chips, based on Silicon Valley’s recommendation that this would maintain American technological leadership.
However, Chinese companies responded by innovating more efficient approaches. The Chinese company DeepSeek developed AI models with capabilities comparable to American models while using two orders of magnitude fewer computational resources, less energy, and less data.
The Brain Drain Effect
US policies targeting Chinese academics and students have created a significant brain drain:
- The China Initiative criminalized Chinese academics based on paperwork errors
- Anti-Chinese rhetoric during the pandemic increased
- Potential bans on international students further alienate talent
These policies have driven Chinese researchers to remain in China and contribute to the Chinese AI ecosystem, directly enabling innovations like DeepSeek. European countries now offer million-dollar packages to attract talent leaving the United States.
Democratic AI Governance
The current approach to AI development threatens democratic governance by removing agency from communities and individuals.
The Loss of Agency
Communities encountering AI development consistently report the same experience: a complete loss of agency to self-determine their future. Whether artists having intellectual property taken or water activists having fresh water resources claimed, the pattern remains consistent.
Community Resistance and Solutions
Despite initial feelings of powerlessness, communities have discovered they can fight back:
- Artists have pursued legal action against companies
- Chilean water activists have protected water resources
- Kenyan workers contracted by OpenAI have unionized and gained international media attention
Alternative Models - The Māori Example
A successful democratic AI model exists in New Zealand, where a Māori couple developed AI for language preservation. Their approach differed fundamentally from Silicon Valley methods:
- Community Consent: They asked their community whether they wanted the AI tool
- Informed Consent: They explained how data would be used and protected
- Small Data Sets: They collected only a few hundred hours of audio data
- Task-Specific Focus: They created a performant speech recognition model for a specific purpose
- Community Benefit: They open-sourced the educational resource for their community
This example demonstrates that highly curated small data sets can create powerful AI models without requiring vast computational resources.
The Vision for Democratic AI
True democratic AI governance requires democratically controlled development and deployment, not just regulation of existing systems.
Reclaiming Collective Resources
Communities must recognize that resources claimed by Silicon Valley actually belong to them:
- Data belongs to individuals and communities
- Intellectual property belongs to writers and artists
- Land belongs to communities
- Schools belong to students and teachers
- Hospitals belong to doctors, nurses, and patients
Small-Scale, Task-Specific Models
The future of beneficial AI development involves small, task-specific models trained on highly curated data sets. These models require minimal computational power and can address specific challenges like:
- Mitigating climate change through renewable energy integration
- Improving healthcare through drug discovery
- Supporting education through language preservation
Conclusion
OpenAI’s approach to artificial general intelligence represents a quasi-religious movement that prioritizes belief over scientific evidence and scale over community benefit. The company’s transformation from nonprofit to commercial entity, combined with its environmental impact and threat to democratic governance, demonstrates the need for alternative approaches to AI development.
The examples of successful community-driven AI projects prove that beneficial artificial intelligence can be developed through democratic processes, small-scale approaches, and respect for community agency. The first step toward reclaiming democratic control over AI development is remembering that no one can take away individual and community agency to self-determine the future.
FAQ
Q: What makes OpenAI’s approach “quasi-religious”? A: OpenAI’s AGI mission is based on belief rather than scientific evidence. There is no scientific proof that AGI can be developed, yet believers maintain strong conviction it will happen soon, discussing it openly as a belief system with competing factions.
Q: What are the “boomers” and “doomers” in AI development? A: Boomers believe AGI will bring utopia and perfect everything, while doomers believe AGI will destroy humanity by evolving into a superior species. Both believe AGI is possible and coming soon, leading them to want control over rather than democratization of the technology.
Q: How do AI data centers impact the environment? A: AI data centers consume massive amounts of land, power, and water. They often operate under shell companies to avoid community opposition and can pump thousands of tons of toxic pollutants into communities that already lack access to clean air.
Q: Can AI development be done democratically? A: Yes, as demonstrated by the Māori language preservation project in New Zealand. Democratic AI involves community consent, informed data usage, small curated datasets, and community benefit rather than corporate profit.
