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Ручки в новых китайских автомобилях все креативнее и креативнее. Водителям приходится клеить инструкции, а то так просто и не понять, как тебе выбраться из машины 😄

Это очередная модель от BYD.

И ведь наклейка не кастомная, а куплена на Таобао. То есть это массовое производство таких стикеров💡

Канал @chinabiz
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Ручки в новых китайских автомобилях все креативнее и креативнее. Водителям приходится клеить инструкции, а то так просто и не понять, как тебе выбраться из машины 😄

Это очередная модель от BYD.

И ведь наклейка не кастомная, а куплена на Таобао. То есть это массовое производство таких стикеров💡

Канал @chinabiz

BY Жданов Китай





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Following this, Sebi, in an order passed in January 2022, established that the administrators of a Telegram channel having a large subscriber base enticed the subscribers to act upon recommendations that were circulated by those administrators on the channel, leading to significant price and volume impact in various scrips. Telegram boasts 500 million users, who share information individually and in groups in relative security. But Telegram's use as a one-way broadcast channel — which followers can join but not reply to — means content from inauthentic accounts can easily reach large, captive and eager audiences. Emerson Brooking, a disinformation expert at the Atlantic Council's Digital Forensic Research Lab, said: "Back in the Wild West period of content moderation, like 2014 or 2015, maybe they could have gotten away with it, but it stands in marked contrast with how other companies run themselves today." On December 23rd, 2020, Pavel Durov posted to his channel that the company would need to start generating revenue. In early 2021, he added that any advertising on the platform would not use user data for targeting, and that it would be focused on “large one-to-many channels.” He pledged that ads would be “non-intrusive” and that most users would simply not notice any change. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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