[narmiouh]

I will give you an example from just two days ago, I asked chatgpt pro to take some rough address data and parse it into street number, street name, street type, city, state, zip fields.

The first iteration produced decent code, but there was an issue some street numbers had alpha characters in it that it didn't treat as street numbers, so I asked it to adjust the logic of code so that even if the first word is alpha or numeric consider it a valid street number. It updated the code, and gave me both the sample code and sample output.

Sample output was correct, but the code wasn't producing correct output.

It spent more than 5 mins on each of the iterations (significantly less than what a normal developer would, but the normal developer would not come back with broken code).

I can't rely on this kind of behavior and this was a completely green field straight forward input and straight forward output. This is not AGI in my book.