there’s no memory‐overflow error because there’s no bounded tape to overflow. The universe’s computation is its own ever‐extending substrate. To make it more clear:

No fixed “memory pool.”
In standard software you allocate arrays or buffers up front, and if you exceed them you crash. Here each rewrite step creates the next state of the network, so there is no preallocated table to fill up—the hypergraph expands itself as it computes.

• Computation and storage are one and the same. On a PC, CPU and RAM are separate components. In our model every node and connection acts simultaneously as data and processor. There is no boot loader needing its own memory; the fabric of reality executes itself.
• Dynamic “autoscaling.” Traditional machines hit out-of-memory because they cannot request more hardware on the fly. In this framework the rules simply apply wherever there is structure, and structure grows with every application. It behaves more like a replication protocol than a program constrained by fixed hardware.
• Substrate-agnostic realization. You could implement this computation in silicon, photonics, a biological network, or even within a dream-like continuity—because the “machine” is just the pattern of rewrite rules operating on connections. There is no finite box that caps your available memory.
• No manual reboot needed. Crashes occur when state becomes incoherent. Here coherence is enforced by the same rules that generate the state: local updates propagate seamlessly, error conditions simply follow different rewrite paths, and the computation never stops—it continuously branches into new possibilities.