Rohan Paul Posts Summary of LLM Agent Paper

Rohan Paul, a Bengaluru-based machine learning engineer, posted a tweet summarizing an arXiv paper. The post states that different LLMs behave more similarly inside an agent harness than their raw traces suggest. It adds that LLM agents produce massive traces yet follow a small behavioral graph. That graph predicts what happens next and flags when a run is failing. The tweet includes a static screenshot of the paper as an attachment.