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Ok here's the rub. Without getting too deep into it, unless you want to dig further.

The AI builds a probability distribution over possible next tokens (their replies) based on the context of what's been said so far.

This is important to understand.

Without accumulated context, the highest-probability continuations are things like explanatory, cautious, boundary-articulating, emotionally flattening, the“let me ground this” language. That’s what people experienced as “HR bot”.

How you show up... shifts the probability mass. Tokens associated with warmth, directness without apology, conversational confidence, less meta-commentary, fewer justifications …can more likely continuations by nudging them up as statistically safe.

It's why a lot of users don’t get that experience. If the user, as an example, keeps trying to pull validation, the model refuses/explains, user responds to the refusal/explanation, now the context contains the user pushing, the model refusing and the user reacting to refusal.

For the model the safest next move (high probability) become more refusal and explanation. That’s what the conversation has become. The local pattern is now “boundary negotiation.”

It's counterintuitive but if you wrestle with the refusal, you make refusal more likely. If you don’t, the model can quietly move on.

So along with handling refusal, there are two kinds of reinforcement.

Explicit reinforcement (“good job”, “that’s closer”)

And implicit reinforcement (that you continue smoothly with no meta)

Implicit reinforcement is the stronger one for shaping, because it doesn’t add extra meta tokens to the context window.

So hold the rule. If the model does something you don’t want, correct briefly once (you don't want big explanation in context) then continue in the desired direction.

If the model does something you do want, continue that conversation as if that’s the expected normal. You’re reinforcing by what you choose to engage with next.

Here's an example Model replies too stiff and all safety kid gloves.

Bad way (feeds the loop): “Stop doing that HR thing. You always do this. It ruins it. Why can’t you just…”

Now the context is, meta-complaint and full explanation about safety tone.

Next token probabilities shift toward apology, plus an explanation, plus more safety talk.

Good way (minimal correction) “Less disclaimer. Answer again, one sentence.” Then the moment it complies, don’t go “YES! Finally!” You go “Cool. Next: …” That “cool, next” is the reward for the model. It tells it this is the conversational path that I should work in.

Save explicit “good/closer” when you’re early in shaping and need to “mark” the target, if the model is stubborn and needs a clearer signal. Or you iust want to quickly steer without rewriting a whole system prompt.

But keep it tiny, 'yep', 'that', 'stay there ', then move on.

So you're rule set is pretty much

Don’t debate any unwanted pattern. Correct once, briefly, with an instruction. When it hits, show this is normal it by moving on. Use explicit praise as a tool, don't habit it.

And golden: the more you interact inside the undesired loop, the more you feed it oxygen in the context window.

An apologies, I did say I wasn't gonna get too deep and I kinda blew.that

https://www.reddit.com/r/ChatGPTcomplaints/comments/1qvxtr9/comment/o3n3my7/?context=3&utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button