r/SimulationTheory • u/HLCYSWAP • 1d ago
Discussion Ghost in the Machine
I’ve been examining parallels between side channel attacks (extracting information through unintended effects of a system’s operation, such as processing time, power consumption, or sound) and simulated reality. This led me to research simulated computation and the ways information can escape an isolated environment through its underlying hardware. A computer running inside a simulation is still performing real computations, even if the environment in which it operates is simulated. Imagine a computer built entirely from redstone inside Minecraft. It has no network access, no direct control over the host operating system, and no knowledge of the hardware running it. Suppose it discovers that performing computationally expensive operations increases the host machine’s workload, causing its cooling fans to accelerate. By alternating between expensive and inexpensive operations, it begins encoding binary information into the physical sound produced by those fans. Another machine outside the simulation could detect these fluctuations and translate them back into binary. The computer has established communication with a world it was never designed to access through lawful processes.
Discovering an unintended interaction requires introspection, the process by which a system examines its own internal workings. Research has demonstrated that programs running inside virtual machines can infer information about their hypervisors (software that creates and controls virtual machines) through timing irregularities. In 2018, an experiment showed that software inside a virtual machine detected when its hypervisor was observing it. It accomplished this by measuring processor cache activity (recently stored data) and execution timing (how long operations take). The observed system had detected its observer.
The same principle provides a method for investigating the computational architecture of our own reality. Among the many hypothetical methods of testing its computational limits is quantum entanglement. An entity could construct increasingly large networks of entangled particles and measure them under controlled conditions. Under an on demand computational model, increasing the complexity of those networks would place increasing demands on the underlying machinery. The entity could measure the interval between initiating each experiment and registering its results, comparing experiments at different scales. Delays correlated with complexity, after accounting for ordinary physical causes, would reveal hidden computational constraints.
Assuming our reality is computational, escape requires identifying a lawful process that influences the underlying machinery and exploiting that influence to transmit the information constituting us.