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Latest storyMay 17, 2026

A primer on how large language model works

Large language models (LLMs) are not simulated human minds — they are probability engines that predict the next word token based on context. Text is broken into tokens, converted into numerical vectors, processed through multiple Transformer layers, and generated one token at a time. Real-world LLM systems add retrieval, tool use, and safety controls around this core loop, while hallucinations remain an inherent...

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A Gentle Introduction to World Models

World models aim to give AI a true understanding of physical reality — something current language models lack. Unlike LLMs trained on text, world models learn environment dynamics through video, 3D simulation, or internal mental...

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Interrogatory LLM

An LLM can interview a human first, then auto-generate context documents — removing the need for manual writing. It also helps validate existing docs by quizzing subject-matter experts, benefiting those who struggle to express...