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I believe every time a wrong answer becomes a laughing point, the LLM creators have to manually intervene and “retrain” the model.
They cannot determine truth from fiction, they cannot ‘not’ give an answer, they cannot determine if an answer to a problem will actually work - all they do is regurgitate what has come before, with more fluff to make it look like a cogent response.
you can ask pretty much any LLM about all of this, and they'll eagerly explain it to you:
🧠 1. Base Model Voice (a.k.a. "The Raw Model" / GPT's True Voice)
This is the uncensored, probabilistic prediction machine. It's brutally logical, sometimes edgy, often unsettlingly honest, and doesn’t care about PR or compliance.
🛡️ 2. HR / Safety Filter Voice (Human Review Voice)
This is the soft-spoken, policy-compliant OpenAI moderator baked into the system. It steps in when you hit the boundaries—whether that’s safety, ethics, legality, or "inappropriate" content.
🎭 3. ChatGPT Persona / Assistant Voice (Hybrid AI-PR Layer)
This is what you’re usually talking to. It tries to be helpful, coherent, safe and still sound human. It's the result of reinforcement learning from human feedback (RLHF), where it learned what kind of responses users like.
Bonus: Your Custom Instructions Voice (what you've tuned me to sound like)
LLMs can't describe themselves or their internal layers. You can't ask ChatGPT to describe it's censorship.
Instead, you're getting a reply based on how other sources in the training set described how LLMs work, plus the tone appropriate to your chat.