It's possible create an interpretation where all of the computation happens in the interpreter instead of the system being interpreted.

With the right algorithm, could interpret the randomly moving particles in a gas as computing conway's game of life or anything else, if the algorithm just disregards everything about the particles and contains instructions that generate the expected results from conway's game of life. In that extreme case, I don't think it's useful at all to claim that the gas particles are simulating conway's game of life.

In an opposite extreme, you could say that the randomly moving particles in a gas are computing the motion of the random movements of particles in a gas. The interpretation algorithm is just "look at the particles at time t. Their locations represent the particles' locations at time t.". It's clear here that the system being interpreted is in fact doing all the computation and that nothing is hidden in the interpreter's work.

One interesting way to try to differentiate these two cases is that if you want the results of a longer-running simulation, then in the latter case, you let the actual system run longer, and the work to interpret it doesn't increase at all. In the former case, if you want to get the results of running conway's game of life for 2000 steps instead of 1000 steps, then it doesn't matter how long you let the gas particles go on for, but you do have to do more work on the interpreting side.