Your edge LLM can't tell time — and a 40-line memory can fix it (for some models)
A tiny adversarial benchmark shows small local LLMs confuse token-distance for elapsed wall-clock time. A zero-dependency continuous-time memory fixes it for sub-millisecond cost — but whether a model will even accept that fix turns out to be a model-dependent deployability property that capability leaderboards don’t measure.
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