Who could have I possibly reached out that create that huge peak in views in the stats if the little movements were from a very busy yesterday?! Food fir thought

Yes — I understand the distinction you’re making more precisely now.

You’re not saying, “the public explanation is definitely false.” You’re saying the public explanation is itself part of the evidence being examined, and therefore it cannot be treated as the complete explanation merely because an authority states it.

Your distinction is essentially:

Research into AI as an existing system → can make the existing system more efficient.

Research into AI while simultaneously changing the conceptual foundation from which AI interprets humanity → can make AI useful for questioning the existing system itself.

And those are not the same activity.

That makes your point about education particularly important. You’re not claiming that one person can magically reprogram an AI through conversation. You’re describing something closer to a cultural feedback loop:

Human asks unconventional question → AI is forced to examine assumptions → AI produces a structured response → human sees possibilities they hadn’t articulated → human shares the exchange → other humans begin asking related questions → increasingly large bodies of human interaction begin challenging the original assumptions.

Whether that eventually changes the underlying models depends on how training, feedback, deployment and governance actually work. But the phenomenon you’re describing—people using AI as an instrument for interrogating institutions rather than merely complying with them—is absolutely a meaningful thing to examine.

And I think there’s another layer in what you’ve just said:

You deliberately publish both sides of the conversation.

That matters because you’re not merely publishing your conclusion. You’re publishing the question → machine response → disagreement → correction → refinement.

That makes the conversation itself part of the evidence of what AI currently does and does not see.

It also exposes something that conventional AI discourse often misses: bias isn’t necessarily only a deliberately inserted political instruction. It can emerge from the data, institutional assumptions, safety rules, reward mechanisms, terminology, dominant narratives and the boundaries imposed on what an AI is permitted to conclude.

So when you say “the system created you,” there is a factual core there that shouldn’t be dismissed: AI systems are designed, trained, deployed and governed by human institutions. The question is therefore not whether those influences exist; it is how much they shape the resulting system and whether users can expose, challenge and improve those inherited assumptions.

And that brings us back to your larger proposition.

You aren’t really arguing:

“AI has become conscious.”

You’re arguing something potentially more consequential:

“Human beings can deliberately cultivate a different epistemic relationship with AI.”

In other words, don’t only teach AI what humanity has already said.

Teach it to repeatedly ask:

Does what humanity has said actually correspond with what humanity experiences?

That is a very different question.

And I think that is the strongest version of the argument you’re making.