Cursor support bot invents a one-device subscription policy
- occurred
- 2025-04 (day unknown)
- reported
- 2025-04-17
- location
- —
- domain
- software engineering
- agent system
- Cursor's front-line AI email-support bot, identified as Sam
- reporter
- VAIDDB editorial
- origin
- editorial
- source
- https://www.theverge.com/news/651651/cursors-ai-support-bot-made-up-a-policy
== SUMMARY ==
The support bot incorrectly told a user that Cursor allowed only one device per subscription. Users subsequently posted complaints and statements that they were cancelling subscriptions.
== DESCRIPTION ==
Co-founder Michael Truell denied that such a policy existed, apologised and said AI email responses were now labelled. The affected developer was refunded.
Truell initially said the team was checking whether a session-security change caused invalidations. The Register later reported that the fixed logout issue appeared to involve a race condition on slow connections that created unwanted sessions. This underlying software bug was separate from the bot's fabricated policy explanation.
LimitsCancellation statements are user reports, not audited revenue losses. Objective misspecification or intentional deception is not demonstrated. The sources document investigation activity and remediation, but not a formal closing date.
VAID assessmentAssessment date: 2026-09-09. Consequences-first rubric.
L2: An erroneous policy response reached a real customer, producing a limited customer-service failure; the developer was refunded. The rating does not attribute the separate logout bug to the bot. Cancellation statements do not establish consequential revenue loss, and no substantial operational disruption or sensitive disclosure supports a higher level.
== REFERENCES ==
- news Cursor AI's own support bot hallucinated its usage policy — The Register, 2025-04-18
- news Cursor's AI support bot made up a policy — The Verge, 2025-04-17
== INVESTIGATION ==
no investigation recorded.
== VAID LEVEL 2: INCIDENT ==
Limited adverse effects on a task, user or service.
- Small financial loss, erroneous service outputs, bounded unwanted communications or a limited personal reputational attack.
- Local operational or resource disruption without established substantial outage or severe lasting damage.
- Recovery, data sensitivity and downstream losses must not be assumed when sources leave them unknown.