AI Agent Swarms Are a Massive Waste of Tokens with Zero Quality Gain, Says OpenAI Codex Developer
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AI agent swarms are a massive waste of tokens with zero quality gain, says OpenAI Codex developer
OpenAI Codex developer Eric Provencher warns that running more than two parallel sub-agents almost always burns tokens without improving quality because agents don't trust each other and end up double-checking everyone's work. He calls this the "coordination tax" and points to a project where 1,393 agents spent $20,000 in tokens on a single Python refactoring that one Astra agent could have handled for a fraction of the cost. The article AI agen…
OpenAI Codex developer Eric Provencher warns of a "coordination tax" for AI agents: More than two parallel sub-agents usually burn tokens without increasing quality because they check each other's work. As a negative example, he refers to a project where 1,393 agents spent $20,000 on tokens for a Python refactoring – a single Astra agent would have done that for a fraction. According to OpenAI developers, AI agent swarms are massive token wastag…
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