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Receptivity
2 min read · 458 words
Receptivity is the operator’s openness to inputs — including the ones that don’t match what the system expected or wanted.
The mind, by default, filters inputs through current expectations. Inputs that confirm existing models pass through easily. Inputs that contradict existing models meet resistance — sometimes mild (the operator notices the input but doesn’t fully integrate it), sometimes strong (the operator dismisses the input or attacks the source). The filter is functional in some ways — it maintains stability — and dysfunctional in others. It prevents the operator from receiving the inputs that would actually update their model.
Receptivity is the deliberate lowering of the filter. Not eliminating it — the operator who receives every input without filtering becomes overloaded and unable to act. But adjusting it so that more inputs get evaluated on their merits rather than dismissed for incompatibility with current model. The operator running with this configuration takes in the feedback that contradicts their self-image, the data that contradicts their assumptions, the perspectives that don’t fit their existing view — and lets them be examined rather than reflexively rejected.
The cost of low receptivity: the operator’s model stops updating. Across years, this produces drift between the model and reality, with the operator increasingly unable to see what is actually happening because their filter is too aggressive about rejecting the inputs that would correct the model.
From the chair: when input arrives that the system wants to dismiss, run the slower process. Hold the input. Examine it. Is the source unreliable or am I dismissing it because I don’t want to receive what it’s saying. Does the input actually contradict what I believe, or am I framing it as contradiction so I can reject it. If this input were true, what would change in my model. These questions are uncomfortable because they require the operator to consider revising material they’ve been running on. The discomfort is the cost of receptivity.
The other application: receptivity in conversation. The operator who is receptive is harder to talk to in some ways — they actually engage with what was said, rather than running their pre-formed responses — and far more valuable in others. Genuine exchange, accurate updating of mutual models, real coordination — these depend on receptivity from at least one operator. The operator who can listen receptively, even to material they want to reject, is producing the conditions for the kind of exchange that actually changes anything.
The filter protects the model. The receptivity allows the model to update. Both have legitimate uses. The operator’s job is to know which is currently appropriate, and to override the filter’s defaults when updating is what the situation actually requires.