For centuries, philosophers and theologians have debated the origins of the universe. One of the most famous classical arguments for a creator is the idea that whoever or whatever made the universe must exist outside of its constraints. If the universe is bound by time, space, and matter, the creator must logically exist outside of time, space, and matter.
For a long time, this was purely the domain of philosophy and religion. But with the rapid rise of Large Language Models (LLMs) and generative artificial intelligence, computer scientists have accidentally built a working model of this ancient philosophical concept.
By looking at how humans create and interact with AI, we are getting a practical, real-world glimpse into what it actually means to be a “creator outside the system.”
The Creator and the Continuum
In classical philosophy, it is argued that the creator of a system cannot be bound by the rules of the system itself.
When we look at the architecture of an LLM, this is literally true. An AI’s “universe” is purely digital. It is a vast, multidimensional landscape of neural networks, mathematical weights, parameters, and training data.
The human engineers, researchers, and data scientists who build these systems do not exist inside that digital architecture. They exist in the physical continuum of time, space, and matter. They set the rules, define the parameters, and provide the raw materials (data) from the outside. The AI is entirely dependent on this external architecture to function, while the human creators are completely unbound by the AI’s digital constraints.
The Immaterial Impacting the Material
A common philosophical objection to a purely spiritual creator is the mechanics of interaction: How can an immaterial force have a tangible, physical impact on a material universe?
Interestingly, modern AI forces us to ask a very similar technological question: How does an abstract digital construct alter physical reality?
An LLM is not a physical object. It is, at its core, a highly complex mathematical equation—a giant matrix of probabilities designed to predict the next most likely word in a sequence. It has no physical substance. Yet, this immaterial, mathematical construct has a profound and direct impact on physical reality.
- Humans read AI-generated text and change their real-world behaviors.
- AI writes code that operates physical machinery, servers, and robotics.
- Algorithms optimize physical supply chains and traffic grids.
The “immaterial” math translates directly into material action. The barrier between the abstract and the physical is breached every time a user hits “enter.”
Perhaps the most fascinating parallel involves the concept of reasoning. In debates about human consciousness, some argue that if the human brain is just a random collection of chemicals shaped by unguided physical processes, we cannot trust our own reasoning.
At what point does complex probability mimic true reasoning? And how much can humans trust an intelligence that is fundamentally just math?
The Finite Creators
While the analogy of AI development mirrors classical creation philosophy, it has one major limitation. In theology, the creator is infinite and independent. In technology, human creators are finite, physical beings. Furthermore, while the digital universe is immaterial, the AI itself remains entirely dependent on the physical world to exist.
We are not gods. But we are, for the first time in history, the architects of a secondary reality.
As we continue to build more complex LLMs, we are not just advancing computer science. We are setting up a mirror to our own reality, allowing us to practically explore ancient philosophical questions about creation, logic, and what it means to exist both inside and outside a system.
