DeepSeek suddenly failed for 4 hours and 53 minutes. Tencent WorkBuddy compensated: all points will be refunded and 500 will be given back. The Tencent WorkBuddy team issued a service abnormality compensation announcement on the same day: due to the DeepSeek service failure, some users were unable to use WorkBuddy normally.

DeepSeek suddenly failed for 4 hours and 53 minutes. Tencent WorkBuddy compensated: all points will be refunded and 500 will be given back. The Tencent WorkBuddy team issued a service exception compensation announcement on the same day: due to the DeepSeek service failure, some users were unable to use the DeepSeek model in WorkBuddy normally. The specific timeline shows that from 8:11 to 13:04 on October 15, the DeepSeek service failed, lasting approximately 4 hours and 53 minutes. During this period, the DeepSeek model in WorkBuddy could not be called normally, and the experience of some users was affected. Points will be refunded first and then given away, and all users can receive 500. In response to this accident, Tencent WorkBuddy has come up with a compensation package: on the one hand, for users who use DeepSeek in the domestic version and are affected by the fault, the platform will fully refund the points consumed by calling the model from October 8 to 14; on the other hand, considering the damage to the experience, an additional 500 points will be given to all users of the domestic version. The refund will arrive within 7 working days - individual users can check it on the points details page, and corporate users can check it through the enterprise management terminal. The 500 points are not automatically issued. You need to manually enter the WorkBuddy "Usage Management" page to collect them before 24:00 on October 22. They are only valid for one month after they are received and need to be used up as soon as possible. At a time when big models on the front line are experiencing frequent fluctuations, the platform uses the "return + gift" method to cover user losses, which can be regarded as turning a service incident into a retention action. via AI News (author: AI Base)