LLMs Are Just Next Token Predictors
I often hear the claim that large language models (LLMs) are “just next token predictors.” The next‑token predictor criticism argues that LLMs operate by generating one token at a time based purely on statistical patterns in their training data, without genuine comprehension, reasoning, planning, or world‑modeling. This token‑by‑token mechanism, according to critics, lacks the structural and contextual grounding that makes human thinking what it is.
[Read More]
