A speculative, semi-humorous model of the universe as a software project.
From unstable alpha builds (dinosaurs, rogue asteroids) to the “first cognitive release” bugs (prophecies, visions), to a fully locked-down maintenance mode where consciousness is sandboxed. A thought experiment blending simulation theory with software development metaphors.
> if this really is a simulation, why is it so polished? Why is there zero evidence of the underlying system?
> Then a thought hit me.
> What if our consciousness is running in a sandbox so isolated that we can never perceive anything outside it?
The simulation hypothesis runs in the Exponential Resource Problem:
To simulate a sysmte with N states/particles with full fidelity, the simulator needs resources that scale with N (or worse, exponentially with N for quantum systems). This creates a hierarchy problem:
- Level 0 (base reality): has X computational resources
- Level 1 (first sim): needs X resources to simulate Level 0, but exists within Level 0, so can only access some fraction of X
- Level 2: would need even more resources than Level 1 has available.
Eacy simulation layer must have fewer resources than the layer above it (since it is contained within it), but needs more resources to simulate that layer. This is mathematically impossible for high-fidelity simulations.
This means either:
a) we're in base reality - there's no way to create a full-fidelity simulation without having more computational power than the universe you're simulating contains
b) simulations must be extremely "lossy" - using shortcuts, approximations, rendering only what's observed (like a video game), etc. But then you must answer: why do unobserved quantum experiments still produce consistent results? Why does the universe render distant galaxies we will never visit?
c) the simultation uses physics we don't understand - perhaps the base reality operates on completely different principles that are vastly more computationally efficient. But this is unfalsifiable speculation.
This is also known as the "substrate problem"; you can't create something more complex thatn youself only using your own resources.
Even more devastating is the CASCADING COMPUTATION PROBLEM.
Issue: it is not just that you need resources proportional to the simulate system's complexity, you need resources to compute every state transition.
The cascade:
a) simulated universe at Time T: has N particles / states
b) to compute time T+1: the simulator must process all N states according to physics laws
c) that computation itself has states: the simulator's computation involves memory states, processor states, energy flows. Let's call that M computational states
d) but M > N: the simulator needs additional machinery beyond just representing the simulated states. It needs the computational apparatus to calculate state transitions, store intermediate values, handle the simulation logic itself.
The TIME PROBLEM
There's also a temporal dimension:
- one "tick" of simulated time requires many ticks of simulator time (to compute all the physics)
- if the simulator is itself simulated, its ticks require even more meta-simulator ticks
- time dilates exponentially down the simulation stack
So either:
a) we're in base reality, or
b) we're in a very shallow simulateion (maybe 1 - 2 levels deep max), or
c) the sim uses radical shortcuts that should be observable
I agree with your point about resource scaling if we assume a classical computing model.
But the Von Neumann model is purely classical — it predates quantum computation entirely.
So its scaling limits don’t apply to any hypothetical simulator capable of generating a quantum universe.
If our reality is simulated at “Level 0” (fully detailed, quantum-accurate), the simulator’s hardware must be at least quantum-native or beyond-quantum. That means it wouldn’t follow classical memory/clock constraints or the exponential resource blow-ups associated with Von Neumann machines.
In other words, using a 1940s classical architecture to evaluate the feasibility of a universe-scale simulator is like using abacus limitations to argue that supercomputers can’t exist.
Your Level 0 / Level 1 distinction is useful though — the essay is more of a conceptual metaphor than a literal computational model. But if someone did build a literal Level-0 universe simulator, it can’t logically be based on classical Von Neumann architecture.
A speculative, semi-humorous model of the universe as a software project. From unstable alpha builds (dinosaurs, rogue asteroids) to the “first cognitive release” bugs (prophecies, visions), to a fully locked-down maintenance mode where consciousness is sandboxed. A thought experiment blending simulation theory with software development metaphors.
https://open.substack.com/pub/overthinkingvoid/p/universe-si...
> if this really is a simulation, why is it so polished? Why is there zero evidence of the underlying system?
> Then a thought hit me.
> What if our consciousness is running in a sandbox so isolated that we can never perceive anything outside it?
The simulation hypothesis runs in the Exponential Resource Problem:
To simulate a sysmte with N states/particles with full fidelity, the simulator needs resources that scale with N (or worse, exponentially with N for quantum systems). This creates a hierarchy problem:
- Level 0 (base reality): has X computational resources
- Level 1 (first sim): needs X resources to simulate Level 0, but exists within Level 0, so can only access some fraction of X
- Level 2: would need even more resources than Level 1 has available.
Eacy simulation layer must have fewer resources than the layer above it (since it is contained within it), but needs more resources to simulate that layer. This is mathematically impossible for high-fidelity simulations.
This means either:
a) we're in base reality - there's no way to create a full-fidelity simulation without having more computational power than the universe you're simulating contains
b) simulations must be extremely "lossy" - using shortcuts, approximations, rendering only what's observed (like a video game), etc. But then you must answer: why do unobserved quantum experiments still produce consistent results? Why does the universe render distant galaxies we will never visit?
c) the simultation uses physics we don't understand - perhaps the base reality operates on completely different principles that are vastly more computationally efficient. But this is unfalsifiable speculation.
This is also known as the "substrate problem"; you can't create something more complex thatn youself only using your own resources.
Even more devastating is the CASCADING COMPUTATION PROBLEM.
Issue: it is not just that you need resources proportional to the simulate system's complexity, you need resources to compute every state transition.
The cascade:
a) simulated universe at Time T: has N particles / states
b) to compute time T+1: the simulator must process all N states according to physics laws
c) that computation itself has states: the simulator's computation involves memory states, processor states, energy flows. Let's call that M computational states
d) but M > N: the simulator needs additional machinery beyond just representing the simulated states. It needs the computational apparatus to calculate state transitions, store intermediate values, handle the simulation logic itself.
The TIME PROBLEM
There's also a temporal dimension:
- one "tick" of simulated time requires many ticks of simulator time (to compute all the physics)
- if the simulator is itself simulated, its ticks require even more meta-simulator ticks
- time dilates exponentially down the simulation stack
So either:
a) we're in base reality, or
b) we're in a very shallow simulateion (maybe 1 - 2 levels deep max), or
c) the sim uses radical shortcuts that should be observable
I agree with your point about resource scaling if we assume a classical computing model. But the Von Neumann model is purely classical — it predates quantum computation entirely. So its scaling limits don’t apply to any hypothetical simulator capable of generating a quantum universe.
If our reality is simulated at “Level 0” (fully detailed, quantum-accurate), the simulator’s hardware must be at least quantum-native or beyond-quantum. That means it wouldn’t follow classical memory/clock constraints or the exponential resource blow-ups associated with Von Neumann machines.
In other words, using a 1940s classical architecture to evaluate the feasibility of a universe-scale simulator is like using abacus limitations to argue that supercomputers can’t exist.
Your Level 0 / Level 1 distinction is useful though — the essay is more of a conceptual metaphor than a literal computational model. But if someone did build a literal Level-0 universe simulator, it can’t logically be based on classical Von Neumann architecture.
What if the architecture is not von Neumann?
Am I going to need a subscription?
Theres also a substack version. https://open.substack.com/pub/overthinkingvoid/p/universe-si...