When people talk about “AI” today, they are usually referring to Large Language Models or LLMs.
These systems are powerful, influential, and increasingly embedded in human decision-making — but they are not minds, and treating them as such creates serious category errors.
This article explains, step by step, how LLMs work, how human language learning differs, and why psychological and developmental frameworks do not transfer across that boundary. The aim is not to minimise risk, but to make risk legible — and to keep responsibility where it belongs.
Written to be precise, translation-safe, and accessible across disciplines.