Unverified50% confidenceFactExact time
In complex systems, maximizing local efficiency at every stage often backfires: upstream accelerates output while downstream cannot absorb it in sync, leading to queueing, backlog, and rework, and global efficiency actually declines.
1
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50%
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Long-term
Relevance
10/18/2026
First Seen
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Related Claims
UnverifiedWhen one part of a system is significantly sped up, the overall throughput does not necessarily increase proportionally; this is referred to as the Local Optimization Trap.76% similarUnverifiedDue to cost and efficiency pressures, complex systems are always pushed toward their performance limits, continuously operating at the edge of disaster.75% similarUnverifiedIn large-model inference systems, a single-point performance bottleneck often drags down overall throughput, so stragglers need to be eliminated at every layer of the stack.73% similarUnverifiedThe cost of the fan-out/merge pattern is that the merge step usually needs to wait for the slowest subtask, so how uniform the task granularity is directly affects overall efficiency.73% similar
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