AI agent swarms are a massive waste of tokens with zero quality gain, says OpenAI Codex developer

OpenAI Codex developer Eric Provencher warned that running more than two parallel sub-agents almost always burns tokens without improving quality, citing a "coordination tax" in which agents distrust each other and double-check one another's work. Provencher pointed 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.

AI agent swarms are a massive waste of tokens with zero quality gain, says OpenAI Codex developer By Matthias BastianSource: The Decoder https://the-decoder.com OpenAI https://www.machinebrief.com/glossary/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 agent swarms are a massive waste of tokens with zero quality gain, says OpenAI Codex developer https://the-decoder.com/ai-agent-swarms-are-a-massive-waste-of-tokens-with-zero-quality-gain-says-openai-codex-developer/ appeared first on The Decoder https://the-decoder.com . Get AI news in your inbox Daily digest of what matters in AI.