When simulations look right but causal effects go wrong: Large language models as behavioral simulators

When simulations look right but causal effects go wrong: Large language models as behavioral simulators explores This research evaluates LLMs' ability to simulate causal intervention effects, revealing a divergence between descriptive fit and causal fidelity, crucial for reliable behavioral simulations.. Commercial viability score: 5/10 in LLM Evaluation.