Long AI sessions degrade suddenly because context accumulates garbage, not because models got worse
ClickOk5811 · reddit · 2026-09-23
A Reddit deep-dive argues long AI session degradation is an accumulation problem: large context windows don't reduce stale decisions, abandoned approaches, and repeated clarifications — they just delay when the buildup becomes visible, causing a perceived cliff. The fix resembles garbage collection: periodically audit what you'd keep if restarting the task now. The author asks whether existing research treats context retention/relevance as a variable distinct from raw window size.
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