Essay: 'Next-token predictor' is a flawed mental model for LLMs

An essay argues that describing large language models solely as 'next-token predictors' is an inadequate mental model, as it overlooks the emergent capabilities and structured reasoning that arise from training. The author proposes a more nuanced perspective that accounts for the models' ability to plan, infer, and follow complex instructions beyond simple statistical prediction.