Probably over twenty today in my work day alone. Its a normal part of working with agents. They do not always have the context they need, but fail to be aware of this.

Misinterpreting the results of performance testing it had just run to argue for the exact opposite of what the data it generated showed.

Stating something was current guidance (a quick read shows the document it found was from 2016, it was served the last edit date in it's API call, along with newer documents that contradict it).

Assuming what a Jira ticket said without ever reading it with it's tools and then doubling down on the contents it has assumed.

On learning specifically, it constantly gets grammar in foreign languages wrong it can write fluently when prompted correctly but when asked the sort of wrongheaded questions from flawed premises learners commonly make it is prone to making stuff up. I experienced this yesterday when asking about how danish comparisons work.

Heck i mean see https://alignment.openai.com/misalignment-reports/self-gener...

They are prone to make up restrictions for themselves you never asked for. Ive seen this behavior on occasion also.

lol i love playing with food labels. the things it spits out for anything de papa in an otherwise English paragraph is terrifying. ai must solve the spanglish potato problem. also the spanglish con issue.