Fugu hides the seams: multiple AIs, billed as a whole

Sakana AI's Fugu represents a novel approach in the realm of AI by leveraging multiple advanced language models to tackle complex tasks more efficiently. Rather than focusing on creating a single, larger model, Fugu acts as a coordinator that breaks down requests into manageable parts, assigning each sub-task to the best-suited external model, such as those from OpenAI, Anthropic, or Google. This strategy not only simplifies interactions by hiding the complexities between different AI vendors but also provides a unified response and billing experience. The implications of Fugu's model could revolutionize how organizations integrate and utilize diverse AI capabilities without the overhead of managing multiple disjointed systems.