Dexterux is committed to superior web and app experience, but bugs may exist where your feedback would be appreciated.

Any loss incurred from misbehaviour of Dexterux website or Dexterux apps would not be compensated.
Data would not be collected from Dexterux website or Dexterux apps, while some app technical data may be collected by App Store providers for reporting technical statistics like crashing accidents.

Please follow requirements of the App Download pages to avoid any crashes that may incur other problems.
Dexterux does not launch any alliance promotions with other organizations, and does not post any non-Dexterux related advertisements or links to retail products within this website or Dexterux apps.
Private personal info like phone no. or ID no. would not be collected. Only necessary cookies (Names: : incap_ses_*, visid_incap_*) are used for web safety purposes, other information like preferences, continual reading bookmarks, password requiared contents will be stored within browser local storage for fluent user experience. These information is saved offline, and is not transferred back to Dexterux server for further uses.
Please feel free to report to Dexter Leung for any suspicious behaviors of Dexterux website or Dexterux apps.

Any materials in this website cannot be used in machine learning without consent from Dexter Leung, the owner of Dexterux. The meterials mentioned include codes, web-page content, text content, photos, icons, or any data hosted in dexterux.com, but exclude any content explicitly stated as CC0 no-copyright terms. The materials also includes any modification, extraction, or derivatives of the mentioned materials. As for machine learning, this includes the usage of the materials as training, validation or testing data of any staticstic models, including simple data analysis, deep learning models, large language models, etc. Such machine learning usage includes any purposes, not limited to personal, non-profit, academic or business uses. This term is effective for machine learning processes which starts from the date on or after Jul-03, 2023; existing or executing machine learning processes utilizing the mentioned materials should exclude the mentioned materials; machine learning processes which have stopped or learned before Jul-03, 2023 will not be investigated, i.e. If you have a model which used the mentioned materials for learning before Jul-03, 2023, it's ok to use the model, but re-training or fine-tuning should not include the mentioned materials.