Xiaomi’s fierce efforts to improve MIUI 13

Qualcomm Snapdragon 888 upgrade will also have a 4G version

Recently, the Xiaomi MIUI team has set up a pioneer group to repair various bugs proposed by users. According to the feedback of many users, with the efforts of the Xiaomi team in a few weeks, the problems such as stuck and stuck of various models of Xiaomi have been greatly reduced, and the fluency and stability have been effectively improved.

This also reversed the evaluation of MIUI system in the first half of the year, which caused many Xiaomi fans to regain their confidence. At the same time, Xiaomi is still pushing forward bigger plans.

According to the previous news, Xiaomi’s research and development of the next generation of large version system MIUI 13 has started for a long time, and has now entered the end. It is said that Xiaomi has listened to the opinions of users, and will carry out major innovation on the system and simplify many functions.

This morning, some netizens exposed a poster of MIUI 13 that was suspected to be flowing out of Xiaomi, in which the slogan “break and then become famous, Yu Xinsheng” under the logo is very eye-catching, which seems to confirm Xiaomi’s awakening to the explosion of MIUI. This version will also become the largest version of Xiaomi in recent years.

Previously, Li Ming, a senior executive of Xiaomi, disclosed on Weibo that the new big version of MIUI will make good use of the development version to avoid the outflow of basic stability bugs, and at the same time, it will start to solve the problem of unobstructed internal test.

Basic stability is the foundation of a mobile phone system. After solving the stability problem of MIUI 13, the technology of accumulating precipitation through many pieces of Xiaomi will bring extremely comfortable use experience for Xiaomi mobile phone.

In addition, it was also reported that the system version of MIUI 13 under internal test has also added memory expansion technology, which can be activated through a special switch, which can effectively improve the fluency of small memory models.