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Context Size vs. Quality: When Less Compression Hurts Performance

Bigger context is useful, but not if it keeps carrying forward noise that should have been compressed away. In some cases that extra clutter can even hurt performance relative to a stronger compaction approach that preserves only the minimum viable context needed for the task.

→ View original post on X — @whats_ai, 2026-03-28 12:01 UTC