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title: Why Google&#x27;s AI can&#x27;t spell Google (or anything else)
description: Google&#x27;s AI Overviews are making basic spelling errors — claiming &#x27;Google&#x27; has two P&#x27;s, misspelling &#x27;journalism&#x27; and &#x27;Trump&#x27; — because LLMs fundamentally don&#x27;t...
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# [Why Google's AI can't spell Google (or anything else)](https://api.daily.dev/r/JhCsvgPo5 "Go to post")

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Google's AI Overviews are making basic spelling errors — claiming 'Google' has two P's, misspelling 'journalism' and 'Trump' — because LLMs fundamentally don't process text as letters and words. Built on transformer architectures, these models tokenize input into numerical encodings rather than reading character by character, making letter-counting and spelling inherently unreliable. Researchers acknowledge this is a structural limitation of current tokenization approaches with no clear fix on the horizon, and Google has confirmed it's working on the issue.

[#google](/tags/google "Check all #google posts")[#llm](/tags/llm "Check all #llm posts")[#nlp](/tags/nlp "Check all #nlp posts")

May 28•4m read time•From [techcrunch.com](https://api.daily.dev/r/JhCsvgPo5 "techcrunch.com")

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