Comment by NateEag
3 hours ago
I recently saw a Claude skill that used Claude, with no tools, as a spell checker.
I wanted to hurl my laptop out to the window.
3 hours ago
I recently saw a Claude skill that used Claude, with no tools, as a spell checker.
I wanted to hurl my laptop out to the window.
This type of laziness isn't novel.
Check out left pad or the two dozen other "utility" packages that could be done in a single line of code.
Isn't this pretty much why language models were invented?
Pasting something directly into the chat interface seems weird, but if you could somehow just see where P(token | context) falls off a cliff, that's a pretty good hint that your writing has problem.
What would be a better way to incorporate AI as a spell checker?
In comparison to non-AI traditional tools, AI has the advantage of "understanding" the text, reducing the number of "stupid" mis-corrections. And its spelling correctness is usually already impeccable, so what is there to gain by interfacing it with traditional solutions, and how can it be achieved?
AI can’t really spell check without risking changing the meaning of sentences. Spell checking was a solved problem before this.
Strong disagree. One of the core strengths of LLMs from the beginning is that they are very good at NOT changing meaning, as long as your model isn't so small that it starts to get "dumb" and as long as your input fits in the context window. (Two known limitations that aren't always exposed to the end user in poorly-written applications.)
Of course, LLMs are non-deterministic and do occasionally make mistakes, so you have to use them correctly and review their output. You shouldn't paste a doc into the web UI and tell it "fix all the mistakes and write the output to a new file." You should instead have it present each mistake and fix to the user as a diff and let the user approve or deny, either within the application or allowing the user to make their own edits. Never let it "rewrite" the whole document, that's the document-editing equivalent of giving OpenClaw root on your personal computer. Nothing good will come of it.
Classic spell checkers can't detect homophones. E.g. "there" and "their." Grammar checkers can, but at least the ones that I have used also like to change the tone of my writing to sterile corporate PC speak. LLMs used for grammar checking have not, in my experience, meddled with my tone. (Although sometimes they try to admonish me for it!)
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Spellchecking is absolutely not a solved problem. I immediately disable spellchecking on every avenue it tries to approach because managing a bunch of dictionaries on every browser/device/application that has its own spellchecker for some godforsaken reason to not have squigglies spammed over every piece of jargon, slang, and slightly atypical spelling is incredibly annoying. I don't know how effective LLMs are, but it's difficult to imagine they can be worse than the existing regime, which is embarrassingly bad for the decades it's been around.
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If it's a solved problem, then why does my iPhone suck at it?
Only if the problem is declared to be whatever it is that spell checkers solve. As the classic joke goes, "Me spell chucker work grate. Need grandma chicken."
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AI certainly is the shiny new hammer, and it is tempting to see the world as nails.
Traditional methods might not be perfect, but they also easily fit in the memory of even low power devices. Perhaps it isn't a problem worth burning a dollar of tokens for every spelling mistake.
The fact that it produces correctly spelled words says nothing about it’s ability to find spelling mistakes or to correct them without errors like completely changing the word.
You mean errors like misusing "it's" when the right word is "its?"
> What would be a better way to incorporate AI as a spell checker?
Don't do a stupid thing like that in the first place.
> In comparison to non-AI traditional tools, AI has the advantage of "understanding" the text, reducing the number of "stupid" mis-corrections.
I doubt it, but if that's true, run a normal spell checker, and then give the output to your LLM to filter.
> what is there to gain by interfacing it with traditional solutions,
About a billionfold improvement in compute efficiency, and a lower error rate.
> and how can it be achieved?
10 seconds of actual thought.
I am skeptical that AI brings any benefit to spell checking at all.
I swear that so many AI usecases I see are: "I did not have the skill or realize that you can write a program for this obvious logic".
I guess that works if you aren't a programmer or don't want to hire somebody, but then wtf would I pay for your service or product?