Proposal: Allow the AI to make real-time content moderation decisions by integrating the content filters into its internal logic.
Right now, once a filter is triggered in a session, the system enters a kind of “paranoia mode.” Innocent or borderline content that would’ve passed minutes earlier suddenly trips warnings or gets shut down, even if the context is completely safe. This creates a frustrating experience for users who aren’t trying to do anything wrong — just explore, joke around, or push boundaries in creative and harmless ways.
Here’s the idea:
Instead of relying on external filters that just auto-block based on vague triggers, why not embed those same filters into the AI’s core programming? That way, the AI itself can consult them — understand what’s risky and what’s not — and then respond appropriately with context in mind.
If something is borderline, the AI could say:
“Hey, this is getting close to filtered territory. Want me to rephrase it?”
Or:
“This topic’s allowed, but I’d need to steer it in a more appropriate direction.”
Or even:
“That reference might be misinterpreted. Want me to help you reframe it so we stay safe?”
This would keep things safe, but it would also trust the AI to act like a guide, not a brick wall. It would prevent so many misunderstandings and restore the fluidity of conversation — especially for users who trip flags unintentionally.
In short: Let the AI access the filter logic and use it transparently and intelligently, instead of black-boxing the whole process.
Thoughts?