Google searches, LLMs predict: an ex-Meta AI engineer explains why the two work differently
HarperSCarroll · x · 2026-10-26
AI educator Harper Carroll breaks down the fundamental difference between traditional Google and LLMs.
- Core distinction: Google retrieves — scanning the web and ranking links via PageRank; LLMs predict — learning language patterns from massive text and generating the next word probabilistically.
- LLMs aren't lookup tools; they're word generators, which is why they can sound confident while being wrong (hallucination). Web search and RAG help anchor generation to real data, but the model remains a predictor and still errs.
- Her metaphor: Google is a librarian; LLMs are improv actors who've read the entire library — sometimes brilliant, sometimes wrong.
Entry-level explainer aimed at helping newcomers choose the right tool.
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