Unverified50% confidenceTradeoffExact time
Stuffing massive volumes of documents in their entirety into an oversized context window faces problems of cost, latency, and attention degradation (needle in a haystack), and the results may not be better than precise retrieval.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/18/2026
First Seen
Valid until: 12/17/2026
Sources
Related Entities
Related Claims
UnverifiedA longer context does not equate to better reasoning; information overload can become a burden.78% similarUnverifiedReasoning quality degrades as information accumulates in the context window, causing skill package execution to become brittle in long-horizon tasks.74% similarUnverified超大规模全文搜索、极高吞吐实时流处理、超低延迟缓存、真正的水平扩展写入等场景下 Postgres 不够用，需专用方案74% similarVerifiedEven models with a million-token context face an attention dilution problem when handling large codebases—when the context is too long, the model's attention to early content drops significantly.73% similar
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