An OpenAI Codex developer has cautioned against the use of large AI agent swarms, stating that employing more than two parallel sub-agents typically results in token waste without any significant quality improvement. This phenomenon, termed the "coordination tax," occurs because agents tend to distrust each other, leading to redundant checks and increased costs. One example cited involved 1,393 agents costing $20,000 for a task that a single agent could have completed more efficiently. AI
IMPACT Suggests that current multi-agent AI systems may be inefficient, potentially impacting the cost and scalability of complex AI tasks.
RANK_REASON Commentary from a developer at a major AI lab about the inefficiency of a specific AI technique.
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