
How Sakana AI’s RL Conductor outsmarts rigid agentic workflows
A 7-billion parameter model from Sakana AI is rewriting the rules of AI agent coordination, outperforming human-designed pipelines on complex reasoning tasks while cutting costs by 84%.

A 7-billion parameter model from Sakana AI is rewriting the rules of AI agent coordination, outperforming human-designed pipelines on complex reasoning tasks while cutting costs by 84%.

Sakana AI unveils Fugu, a multi-agent orchestration system that matches frontier AI performance while avoiding dependency on single providers. How does it work, and what benchmarks show about its reliability?