The implementation is incredibly simplistic to the point where I consider it broken. I have a custom GPT where part of the shtick is that it speaks in rhyme. A

The implementation is incredibly simplistic to the point where I consider it broken. I have a custom GPT where part of the shtick is that it speaks in rhyme. As an aside, I tried, and repeatedly failed, to get it to speak in iambic pentameter blank verse, but for whatever reason, that isn't a concept/constraint it can recognize and work with. So whatever, rhyming is ok. The point isn't about that, it's that when I talk with this GPT for long enough, it abruptly forgets about speaking in rhyme. The custom prompt is just initial token state, once it drops out of the context window, it's gone. This is a disaster for anyone trying to deploy a task-specific GPT, because it will appear to work for a few thousand tokens, after which it will just turn into vanilla GPT. There have to be a ton of ways to prevent this from happening but the system as implemented doesn't do any of them.