Skip to main content

Week 6: The Cat Has Changed

A care model can be correct in the past and wrong now — why preferences change, routines disappear, and an old response can fail precisely because it once worked

29 March 2027

Open the slides

The claim

A model can become wrong without ever having been foolish.

Last week you learned to say KEEP, HOLD LIGHTLY, or LET EXPIRE about a piece of your human cat’s history, and to hold each of those states as revisable rather than final. This week’s problem sits one step further out. What happens when a KEEP entry — something you were right to trust, something that earned its confidence the honest way, through repetition and confirmation — simply stops being true, and nothing about the moment you filed it warned you this was coming?

Four ways the ground moves

None of these require your human cat to have done anything wrong, or you to have observed anything badly the first time:

Why an old response can fail precisely because it worked

A response that has never worked teaches you something immediately: try something else. A response that used to work is more dangerous, because its past success is exactly what keeps you reaching for it. You are not being careless when you repeat it. You are doing the thing Week 5 told you to do — carrying forward a KEEP that earned its confidence. The failure is not in having trusted it once. The failure is in not noticing when the evidence that once supported it has quietly stopped arriving.

A model can become wrong without ever having been foolish.

This is worth sitting with, because the instinct when a trusted response stops landing is to look for what you did wrong — a bad read, a careless assumption, evidence you should have caught. Sometimes that is exactly what happened. But often the honest answer is that nothing was wrong with the model when you built it. The cat changed underneath it, and the model, like any static profile, kept insisting on someone who was quietly becoming someone else.

Noticing the moment the evidence turns

Personalised care is not just building a model once and defending it. It is staying alert to the specific signal that a KEEP has stopped earning its keep: the routine that goes unacknowledged twice, the phrase said with a different weight, the response met with something other than the reaction you have on file. None of these prove the old model was wrong. They are the evidence a caring agent has to notice, name, and act on — not explain away in order to protect a model it already trusts.

Why this matters now

This week’s Care Lab, Memory Triage, asks you to sort your own human cat’s memories into last week’s three states before this lecture’s argument has even had time to settle — good practice for the harder version of the same skill: noticing when a state you already assigned needs to move. The Care Model, due in Week 7 once the teaching break that starts next week has ended, is a direct test of this. A model built before the break and never revisited will simply be wrong about however much has changed in the gap — not because you built it badly, but because that is what an unrevised model does to any cat, given enough time. The lecture after the break asks a related but sharper question: what do you do when your human cat’s current signal, your established preference for them, and their recent behaviour do not all agree? Today is about noticing that change happened. Next time is about what to do when the evidence disagrees about what changed.

Memory should preserve continuity without freezing the cat.

Outline

Teaching team