AI Agent Swarms Are a Massive Waste of Tokens with Zero Quality Gain, Says OpenAI Codex Developer
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OpenAI Codex developer Eric Provencher warned that launching large numbers of I.I. agents in parallel often only dramatically increases the flow of currents without improving the result.
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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