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It's a little bit more like saying an F1 car is fundamentally the same as a Model T.

Spellcheck was one of the first language models (albeit miniscule) in widespread use. You can draw a direct line from bloom filters for spellcheck in resource constrained environments to predictive text and thence on to LLMs.



I think this is more semantics than useful discussion at this point.

Spellcheckers for the msot part act on what you made. ChatGPT in this case is used to generate stuff, so you don't have to make it.

That's a huge difference and the first analogy is more fitting than the Model T one.

Spellcheckers are more like wheelbarrows, they don't move anything by themselves. ChatGPT is like an airplane with a broken autopilot.




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