Budget is the most comforting word in enterprise AI. Give the agent a bigger context window. Give it more tool calls. Give it more time. Give it a notebook, a browser, a Python interpreter, a reminder to “think step by step,” and perhaps a small motivational speech about being thorough. Surely the system will become more reliable. ...
TL;DR for operators The paper is not really about whether a model can answer exam questions. Given the right context, the frontier models do very well. The hard part is whether an agent can notice what must be preserved, store it in a useful form, retrieve it at the right time, and act without being explicitly prodded. That is the difference between an assistant that sounds competent and an assistant that can actually carry operational state across days, weeks, and dependent workflows. ...