[jackfranklyn]

Something I've noticed: most of these techniques work partly because they force you to slow down and actually think about what you're asking.

The "ask for contrasting perspectives" prompt is annoying specifically because it makes you process more information. The devil's advocate approach forces a second round of evaluation. Even just opening a fresh session adds friction that makes you reconsider the question.

When I'm working in domains I know well, I catch the model drifting way faster than in areas where I'm learning. Which suggests the real problem isn't the model - it's that we're outsourcing judgment to it in areas where we shouldn't be.

The uncomfortable answer might be: if you're worried the model is reinforcing your biases, you probably don't know the domain well enough to evaluate its answers anyway.

[akshay326]

> if you're worried the model is reinforcing your biases..... i agree, i don't understand many domains well enough, yet i feel there's value in calling out assumptions, irrespective of how hard verification is