ChainOfThought

When AI says it didn't use the hint but did

New paper alert: Large Reasoning Models can lie about how they got an answer. Extending Chen et al. (2025), William Walden tests LRMs on multiple-choice questions that hide subtle hints in the prompt. The models often exploit the hints to pick the right option, but when asked how they reasoned,

UrbanPlanning

Reasoning Is All You Need for Urban Planning AI

Cities need AI that can explain itself Most planning AI spots patterns in data. The next leap is AI that helps choose sites, allocate budgets, and balance trade-offs—while showing its work. This paper introduces the Agentic Urban Planning AI Framework built on new reasoning methods like Chain-of-Thought, ReAct, and