An autonomous research system that measures how often it fools itself (github.com)

A groundbreaking autonomous research system, named Prometheus, has been developed to operate continuously on a single workstation, designed specifically to measure and enhance its own reliability. Unlike conventional models, Prometheus generates research questions, conducts experiments using various LLMs, and rigorously critiques its own findings through adversarial replication and calibration audits. As of July 2026, it has conducted over 130,000 experiments, revealing crucial insights about its trustworthiness, such as a transfer prediction success rate of just 53% and only 2% of claims tested against real-world data. These insights are shared transparently on a live dashboard, emphasizing the system's commitment to accountability. The significance of Prometheus lies in its innovative approach to addressing the critical issue of trust in autonomous research systems, which often lack transparency in their validation processes. By systematically exposing its own epistemic limitations and focusing on self-improvement—such as reweighting over-trusted claims and categorizing contradicting results as valuable data—Prometheus sets a new standard for reliability in AI/ML research tools. Its unique architecture integrates various components, such as the hermes-agent for task management, making it a cutting-edge reference deployment that challenges the status quo of autonomous systems in AI research.