When Maps Start Thinking: Teaching Agents to Plan in Time and Space
Opening — Why this matters now AI can already write poetry, debug code, and argue philosophy. Yet ask most large language models to plan a realistic trip—respecting time, geography, traffic, weather, and human constraints—and they quietly fall apart. Real-world planning is messy, asynchronous, and unforgiving. Unlike math problems, you cannot hallucinate a charging station that does not exist. ...