TL;DR for operators A wireless team choosing a model to standardize has a tempting shortcut: benchmark several candidates, find the highest score, and carry that winner into deployment-specific adaptation. The problem is that wireless-channel performance depends heavily on what is being predicted and on the propagation environment in which the model is evaluated. ...
Memory is a familiar word. That is exactly why it can mislead us. When people hear that coding agents need “memory,” the first image is often a giant scrapbook: past prompts, previous patches, command logs, successful code snippets, failed attempts, and whatever else the agent has dragged behind it like a very confident intern with a messy backpack. More memory sounds safer. More traces sound more useful. More remembered work sounds like less repeated work. ...
Noise is easy to add. Information is rather less cooperative. A high-resolution camera image can be blurred. A precise sensor reading can be contaminated with noise. A complete genetic record can be reduced to a coarser code. Reversing any of those operations is much harder, because the missing information has already left the building. ...