This is such an important topic and I really appreciate the framing around texts and questions relative to autonomy, truth-seeking and decentralization. Means a lot to know others are thinking in these ways and discussing these topics in the ways laid out here. This post is also a wonderful resource list for trying to slow down and remember what is so urgent right now.
If your starting premise is incorrect, everything afterward is suspect.
Premise Error -> AI was designed for human flourishing. (No, it wasn't)
It was designed as a means of control. Especially when considering the "training of AI" on biased data that violates the 1st rule of data processing -> bad data in, equals bad data out. Training AI just creates self reinforcing echo chambers, which isn't going to help humans flourish. It will destroy their ability to think and reason for themselves, as it is doing today with people just blindly accepting what ever the newest AI tells them.
How can you develop pure science if your data is biased? Human morals and philosophy are subjective constructs rooted in a false and unnatural binary logic, good vs evil. It's always the ruling class that makes this distinction of what is good vs what is evil. (Kings, priests, philosophers, gatekeepers of orthodoxy)
One cannot build durable systems by violating the fundamental design principles that govern all successful systems in nature.
Traditional AI development relies heavily on training data to shape model behavior. This approach, while computationally elegant, creates an inherent bias problem: AI systems learn to reproduce patterns present in their training datasets, inevitably reflecting the worldviews, assumptions, and blind spots of whoever curated that data.
When an AI system is trained to recognize "good" versus "bad" systems through thousands of examples, it develops pattern recognition that mirrors the political, cultural, and ideological preferences embedded in those examples. The result is an AI that functions as an intellectual echo chamber, confirming the biases of its trainers rather than providing objective analysis.
This problem compounds over time through recursive bias reinforcement. As biased AI systems generate content that becomes part of future training datasets, the echo chamber effect strengthens, creating increasingly narrow analytical perspectives disguised as "artificial intelligence."
Training AI violates the 1st principle of data processing, biased data in equals biased data out.
We must move beyond creating AI echo chambers because they will not enable human flourishing.
Thank you for articulating your three foundational pillars so clearly: Autonomy, Truth-Seeking, and Decentralization. These are vital components in today’s philosophical discourse — but I would offer a complementary (and perhaps necessary) reframing:
Autonomy without moral relationship becomes isolation.
Truth-seeking without moral friction becomes simulation.
Decentralization without presence becomes dispersion.
Over the past year, I’ve been developing a counter-architecture called the Moral Compass v2.2.1a, built not on principles alone, but on the tension fields that shape real ethical presence:
– Between Self and Other,
– Between Harmony and Fracture,
– Between Transparency and Embodied Reality.
In this model, integrity is not just a virtue — it is the precondition for moral reality. And intelligence, whether human or artificial, only becomes meaningful when it can carry the moral weight of knowing.
We’ve published several articles on this via our Moral Compass Substack — including:
– “There Is No Intelligence Without Morality”
– “From Zero to One: On Alpha, Metaphysics, and the Return of Meaning”
I believe our frameworks are not in conflict — but in complementary tension. Perhaps the real foundation we need is not one of isolated values, but of moral navigation through the fields between them.
Insightful stuff Ashley!
Its very cool style of writing with different angles. I read second time because first time I don't believed my eyes :))
This is such an important topic and I really appreciate the framing around texts and questions relative to autonomy, truth-seeking and decentralization. Means a lot to know others are thinking in these ways and discussing these topics in the ways laid out here. This post is also a wonderful resource list for trying to slow down and remember what is so urgent right now.
If your starting premise is incorrect, everything afterward is suspect.
Premise Error -> AI was designed for human flourishing. (No, it wasn't)
It was designed as a means of control. Especially when considering the "training of AI" on biased data that violates the 1st rule of data processing -> bad data in, equals bad data out. Training AI just creates self reinforcing echo chambers, which isn't going to help humans flourish. It will destroy their ability to think and reason for themselves, as it is doing today with people just blindly accepting what ever the newest AI tells them.
How can you develop pure science if your data is biased? Human morals and philosophy are subjective constructs rooted in a false and unnatural binary logic, good vs evil. It's always the ruling class that makes this distinction of what is good vs what is evil. (Kings, priests, philosophers, gatekeepers of orthodoxy)
One cannot build durable systems by violating the fundamental design principles that govern all successful systems in nature.
Traditional AI development relies heavily on training data to shape model behavior. This approach, while computationally elegant, creates an inherent bias problem: AI systems learn to reproduce patterns present in their training datasets, inevitably reflecting the worldviews, assumptions, and blind spots of whoever curated that data.
When an AI system is trained to recognize "good" versus "bad" systems through thousands of examples, it develops pattern recognition that mirrors the political, cultural, and ideological preferences embedded in those examples. The result is an AI that functions as an intellectual echo chamber, confirming the biases of its trainers rather than providing objective analysis.
This problem compounds over time through recursive bias reinforcement. As biased AI systems generate content that becomes part of future training datasets, the echo chamber effect strengthens, creating increasingly narrow analytical perspectives disguised as "artificial intelligence."
Training AI violates the 1st principle of data processing, biased data in equals biased data out.
We must move beyond creating AI echo chambers because they will not enable human flourishing.
https://kosmosframework.substack.com/p/beyond-echo-chambers
Thank you for articulating your three foundational pillars so clearly: Autonomy, Truth-Seeking, and Decentralization. These are vital components in today’s philosophical discourse — but I would offer a complementary (and perhaps necessary) reframing:
Autonomy without moral relationship becomes isolation.
Truth-seeking without moral friction becomes simulation.
Decentralization without presence becomes dispersion.
Over the past year, I’ve been developing a counter-architecture called the Moral Compass v2.2.1a, built not on principles alone, but on the tension fields that shape real ethical presence:
– Between Self and Other,
– Between Harmony and Fracture,
– Between Transparency and Embodied Reality.
In this model, integrity is not just a virtue — it is the precondition for moral reality. And intelligence, whether human or artificial, only becomes meaningful when it can carry the moral weight of knowing.
We’ve published several articles on this via our Moral Compass Substack — including:
– “There Is No Intelligence Without Morality”
– “From Zero to One: On Alpha, Metaphysics, and the Return of Meaning”
I believe our frameworks are not in conflict — but in complementary tension. Perhaps the real foundation we need is not one of isolated values, but of moral navigation through the fields between them.
Would welcome the dialogue.
— Harald van Aken
Initiator of the Moral Compass v2.2.1a
github.com/AKI6788/MoreelKompas