The internal pain signal in the large language models tested in a study co-authored by Cameron Berg was distinct from fear and generic negative valence, firing specifically for harm directed at the model rather than the user

Large language models (LLMs) are advanced AI systems trained on massive text datasets to understand, generate, and reason about human language, powering applications such as chatbots, code generation, summarization, and scientific discovery.