Context management
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2026
2 articles- Token Saving as Noise Reduction Token saving in agent systems is often framed as an efficiency concern. A better framing is signal-to-noise control: every unnecessary token competes for attention, increases inference cost, and makes the next decision less precise. Current work on context compression, KV-cache compression, and long-running interactions points in the same direction.
- More Context Is Not Always Better The intuition that feeding a language model more information improves its outputs is wrong often enough to matter. Here is why, and what to do about it.