alt Hacker NewsWhen I ask chatgpt to create a mermaid diagram for me it regularly will add new lines to certain labels that will break the parse. If you then feed the parse error back to it the second version is always correct And it seems to exactly know the problem. There are some other examples where it will almost always get it wrong the first time but right if nudged to correct itself. I wonder what the underlying cause is
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"Prompt Repetition Improves Non-Reasoning LLMs " - https://arxiv.org/pdf/2512.14982
What instance of ChatGPT are you doing that with? (Reasoning?)
Mermaid is really bad about cutting off text after spaces, so you have to insert <br>s everywhere. I’m guessing this is getting rendered instead of escaped by your interface. Or just lost in translation at the tokenizer.
Today I asked Claude to create me a squidward looking out the window meme and it started generating HTML & CSS to draw squidward in a style best described as "4 year old preschooler". Not quite it yet.
> I wonder what the underlying cause is
It responds with the statistically most probable text based on its training data, which happens to be different with the errors vs without. I suspect high-fidelity diagramming requires a different attention architecture from the common ones used in sentence-optimized models.