The Cost of Asking Only for Today
TL;DR for operators A persistent assistant can miss valuable information if it asks about a preference only when the answer improves its current task enough to justify the interruption. Wang and colleagues investigate this problem through Active Preference Acquisition (APA), which values questions according to expected benefits across future tasks.1 In their synthetic benchmark, 34.4% of budget-feasible valuable initially missing preferences at a 20-task horizon are worth acquiring only through cumulative reuse. APA acquires 80.3% of these preferences versus 5.1% for current-task valuation, with a statistically significant net-utility advantage among affected users. However, its overall 10-task advantage is statistically inconclusive after adjustment, and a privileged oracle achieves better utility while collecting fewer preferences. The operational lesson is to select questions by expected downstream value, not to maximize the number of answers collected. ...