Listeners commit to an interpretation long before a speaker finishes, and the only interlocutor whose commitment point can actually be set in advance is a language model.
The listener has already decided
Speakers assume someone is listening. In fact the listener has already built a structure out of the first few words. One claim puts the average interruption at seventeen seconds; the author timed it and got eight.
So all the advice about leading with the conclusion pushes on the speaker, when the problem lives in the receiver.
Von Neumann and the guy who cuts you off run the same code
Stories say he could state your conclusion before you finished the premises, and people call that genius. Really it is committing early and being right.
The same mechanism with a low hit rate is just interrupting. Learning to stop interrupting out loud only moves the commitment inside.
A model is the only listener you can instruct
Models commit early too. No social pressure, no eight-second patience: they treat the first message as the entire specification. Send background and they answer the background.
But their commitment point is a parameter, and you can set it.
Make it say the problem back first
Red/green testing is the gate in code: reproduce the failure as a test before anything proposes a fix.
Same in conversation: have it restate the problem as something that currently fails. If the restatement is wrong, you catch it right there.
This works on models, not on people. The one that takes instructions is precisely the one that is not a person.
Why it matters
Communication training has always taught speakers to be clearer, while nobody can teach a listener to hold off on deciding. Language models make the receiver's commitment point a knob you can turn, which means the quality of a conversation with a machine may depend first on whether you make it prove it understood.
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