#sakana fugu

For years, AI progress has centered on scaling individual foundation models: larger parameters, longer context windows, stronger reasoning, and better tool use. Sakana AI’s Fugu points elsewhere, behaving like one model from the outside while coordinating multiple expert agents internally. A single API call can trigger direct answering, specialist delegation, intermediate verification, and final synthesis, […] The post Sakana Fugu: Multi-Agent System as a Model  appeared first on Analytics Vidhya.

Fugu and Fugu Ultra route tasks across a swappable model pool, leading most coding, reasoning, and agentic benchmarks. The post Sakana AI Launches Sakana Fugu: An Orchestration Model That Routes Tasks Across a Swappable Pool of Frontier LLMs appeared first on MarkTechPost.

Sakana Fugu's orchestration system could redefine AI deployment strategies, mitigating risks like vendor lock-in and regulatory challenges. The post Sakana AI Labs unveils Sakana Fugu, a multi-agent orchestration system that rivals frontier models appeared first on Crypto Briefing.