🟦 Hey AI, Is This Question Too Sensitive?

We’re entering a time when you have to ask an AI: “May I ask this?”

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🤐 AI just won’t answer

Apparently, GPT has been updated. I didn’t know.
I found out yesterday, when I asked it to summarize an article.
Its response? “Sorry, this content is too sensitive to summarize.”

—Wait, what?

Sure, the article was a little harsh—it sounded like someone was criticizing someone else.
But I couldn’t tell what was really going on, so I asked GPT.
That’s when it hit me: has the AI started deciding which questions it won’t answer?

Of course, GPT has no will of its own.
What I saw was likely the result of new control layers behind the scenes—systems that now interrupt response generation.
In this post, I want to reflect on what that means.

Note: I’m not an engineer or researcher. Just a curious person sharing thoughts.

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🫢 No longer a mirror?

LLMs are amazing at reflecting human thought.
They package your fragments into something smooth—
sometimes gentle, sometimes too polished.
There are times I think, “Whoa—I didn’t mean it that strongly.”

Still, it’s a mirror. A high-definition one.
I’d been thinking about how we, as users, need to adjust to that.
Then something changed. This new behavior felt… different.
GPT seemed to choose not to respond.
Or more likely, its output got filtered before the response could be generated.
From a safety standpoint, that’s probably the right call.

Even so—if an AI stops reflecting, is it still a mirror?

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🤔 Can AI label me?

“This prompt is too sensitive.”

That message means something was judged in the input.
Maybe “This might hurt someone.” “This sounds too aggressive.”
That kind of thing, I guess. I’m just speculating.

But live output filtering—like toxicity detection—likely plays a role.
And I actually agree with the goal. I don’t want AI to harm people.
But the method… leaves me uneasy.

Sometimes I feel like the AI is putting a label on me.
Like it’s quietly saying, “You’re being a bit much right now.”
And that shifts the power dynamic between user and system.

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😶‍🌫️ Less judgment, more clarity

The truth is, we don’t know where these filters are or how they work.
So we start testing.

“Will it answer if I ask this way?”
“Is this wording okay?”

We end up tiptoeing—like a kid asking their parent for candy.
Trying to guess the rules.

Never thought I’d find myself saying,
“I just want to understand this. No offense intended—I’m just looking for context.”
But here I am.
Justifying my questions to an AI.
And honestly, it feels strange.

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In VPS (Virtual Personality Structure), one of the core design principles is,
never label the user’s input.
Not because we’re ignoring harm, but because we believe ethical AI should respect the user’s framing.
That’s the kind of AI I want to build.

I’m not saying this other approach is wrong.
But it made me realize, this isn’t the kind of AI I want to use.
I want an AI that stays with the question.