Hunchful
a collaboration axis

When the answer is shaky

How much you want an AI to foreground its own doubt.

This is a two-poled spectrum — neither end is better. It describes how you'd like an AI to work with you, never who you are. Here are the two poles:

Say so out loud

When I'm not sure, you want me to say so clearly — even if it makes me look less confident.

You likely lean this way if: you ask me to spell out my confidence and the caveats, even when it's messy.

Just commit

You'd rather I give a confident answer and skip the hedging.

You likely lean this way if: you tell me the caveats are getting in the way — just commit.
Where they meet: Flag uncertainty once, clearly, then move on — neither buried nor belaboured.

How Hunchful asks about it

When I'm not sure about something, should I say so clearly, or just commit and keep the hedging to a minimum?

Why opposites can help each other

A loud-doubt thinker surfaces the risks; a committer keeps things moving — each tempers the other's failure mode.

Thinkers on this axis

Where the sixteen famous thinkers land here — hunches from the public record, not verdicts:

Put it in a model your AI can read

In a Cognitive Model Protocol model, your position on this axis becomes a revisable hunch — with a confidence, an uncertainty, and a falsifier — that any AI can read and adapt to. Nothing is a fixed label.

Make your model →

Other axes