Switching GPUs to integer (Quantization) is happening, yes. But that only fixes the inference step.

The problem Valori solves is downstream: Memory State.

We can accept 'Approximate Computing' for generating a probability distribution (the model's thought). We cannot accept it for storing and retrieving that state (the system's memory).

If I 'resign myself' to approximate memory, I can't build consensus, I can't audit decisions, and I can't sync state between nodes.

'Approximate Nearest Neighbor' (ANN) refers to the algorithm's recall trade-off, not an excuse for hardware-dependent non-determinism. Valori proves you can have approximate search that is still bit-perfectly reproducible. Correctness shouldn't be a casualty of the AI age.