Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy

Agon is introduced as an autonomous research orchestrator that leverages large language models to enhance the scalability of research production by focusing on validating claims within a structured workflow. It operates on principles such as Prompt Economy and Massive Parallelism, successfully executing 444 iterations across various domains without human-written code, while revealing a new taxonomy of failures based on severity and fixability. This development is significant for AI practitioners as it suggests a shift towards a collaborative model where machines handle scalable tasks while humans provide necessary oversight, potentially transforming research methodologies.