Usually when you have an AI like this that is supposed to generate verifiable results, you do an adversarial test where you ask it to solve problems that you al

Usually when you have an AI like this that is supposed to generate verifiable results, you do an adversarial test where you ask it to solve problems that you already know the answer to, to make sure it works. It looks like no one did that here. Even using the sample data provided, if you highlight a few of the addresses, it can't find the rest of them, mainly because it generates a regex with ST/AVE/LN in it, missing all the ones with RD. And if you add an RD sample, it just adds that to the list. There's lots of great innovation coming with LLMs, but people are forgetting their "AI basics" when it comes to verifying them.