"Will the application has a local repository of songs, will you use database to store songs?"
This doesn't really sound like AI to me, maybe machine translation or something like that but I never see a model making nonsense grammar mistakes and messing up tenses. Even a really small 7B model mostly outputs correct grammar until it goes off the rails. I'd expect bad AI feedback to be vague and verbose, in this instance perhaps whoever is writing the feedback doesn't know much English and is translating from their native language, or maybe they're outsourcing or something.
I'm in the UK so it would be surprising for it to be a language proficiency problem. You might be right about outsourcing and machine translation.
> "Will the application has a local repository of songs, will you use database to store songs?"
That question really doesn't make sense since it's specifically an Android development module and the MediaStore API dictates how files such as music are stored. It's definitely not the professor giving the feedback, that much is clear.
The next benchmark would be to create a full AI student, that without any background in a topic could learn from a combination of textbook and lectures, and then pass the assessments.
Of course there's an issue with how hard it would be to find a topic that AIs trained on the internet aren't already familiar with. So we'd need AIs to do research and create course materials for newly discovered science.
To get this working well, we'd need significant scale and would need to implement AIs acting as the university admins, AIs making decisions on grant allocation and AIs running peer-reviewed journals.
Eventually, applying similar approaches to other fields, we might entirely automate away humanity.
This doesn't really sound like AI to me, maybe machine translation or something like that but I never see a model making nonsense grammar mistakes and messing up tenses. Even a really small 7B model mostly outputs correct grammar until it goes off the rails. I'd expect bad AI feedback to be vague and verbose, in this instance perhaps whoever is writing the feedback doesn't know much English and is translating from their native language, or maybe they're outsourcing or something.