Simulative Reasoning

TL;DR for operators SimuRA is an agent architecture that asks a simple operational question: before an AI agent clicks, searches, filters, submits, or replies, can it cheaply rehearse what might happen next?1 Not in a poetic “the machine imagines” sense, please calm down. In a practical sense: generate candidate actions, simulate their likely outcomes in a compact internal state, score those futures against the goal, and only then execute the first concrete action. ...

TL;DR for operators Most LLM agents still behave like overconfident interns with a browser: observe, guess the next action, click, apologise, repeat. SiRA proposes a more serious pattern. Before acting, the agent writes down a belief state, proposes several high-level candidate actions, simulates likely future states with an LLM-based world model, scores those futures against the goal, and only then converts the selected intent into an executable browser action.1 ...