Haven’t we moved past an assumption/need that these (frontier) llm (-backed services) have memorized their training data now that tool calling has proven to be so effective? The model knows enough about the question to be able to search for sources that contain the answer and then summarize the findings back? I’m shocked Claude voice ever makes a mistake on this, does it not have agentic capabilities backing its responses?