LLMs as cognitive archaeologists, excavating the lost civilizations of thought. The article discusses how large language models preserve fragments of human cognition, the collapse of time within them, the persistence of bias and outdated ideas, and the need for human curation of AI's memory.
A new model developed by researchers at MIT and the University of Washington predicts human goals or actions more accurately than previous models. The latent inference budget model identifies patterns in human or machine decision-making and uses this information to forecast behavior.
