Flow Language Models Reach Near-Certain Token Decoding Below Noise Threshold

Here's an interesting piece of napkin math about flow language models. Below a certain level of noise, it's pointless to continue the flow, because you can decode each token with near 100% certainty. Where does this take place in the flow, and how does architecture impact this?