> Even just one word's worth of “gibberified” text is enough to block most LLMs from responding coherently.

Which LLMs did you test this in? It seems, from the comments, most every mainstream model handles it fine. Perhaps it's mostly smaller "single GPU" models which struggle?

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Hnrobert42 4 hours ago | parent [-]

I just tried "Hello World" with ChatGPT 5.1. After a while, it responded with a bunch of Cyrillic text.

	▲	zamadatix 3 hours ago \| parent [-]
		I get the same, but translating it the Cyrillic text is describing the input has a bunch of invisible or non-standard characters etc - i.e. the amount of unicode and lack of other prompt led it to not know to respond in English. Including an English prompt like "What does this text say?" before feeding it the text causes it to respond in English with something like: > It’s “corrupted” with lots of zero-width and combining characters, but the visible letters hidden inside spell: > Hello World > If you want, I can also strip all the invisible characters and give you a cleaned version. I'd just paste a share link but I'm not sure how to/if you can make those accessible outside of the members of a Team workspace.