Most people think of Dungeons and Dragons (D&D) as a place for imagination, dice, and heroic misadventures. Yet a team of computer scientists has turned this iconic tabletop game into something far more ambitious: a laboratory for understanding how artificial intelligence behaves when it must operate independently for long periods. Their research paper, Setting the DC: Tool-Grounded D&D Simulations to Test LLM Agents, paired with the recent TechXplore article on the same work, reveals why D&D
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Large language models have become the engines behind some of the most impressive feats in contemporary computing. They write complex software, summarize scientific papers, and navigate intricate chains of reasoning. Yet as a recent study shows, these same systems falter on a task that most ten-year-olds can perform with pencil and paper. According to a new article from TechXplore and the accompanying research paper Why Can’t Transformers Learn Multiplication? Reverse-Engineering Reveals Long
