Spent yesterday reading the ICLR paper everyone in the agent space is going to be quoting for the next year.

"The Reasoning Trap." The line the authors won't quite say out loud is that the smarter your model gets at reasoning, the more likely it is to fabricate a tool that doesn't exist. We've spent eighteen months telling ourselves that smarter reasoning would fix the reliability problem in agents. The paper shows the opposite. Reinforcement-learned reasoning lifts task scores and amplifies tool hallucination at the same time. They don't trade off. They move together. I've been seeing this for months