In 2024, the American Wiki Education Group was established in Los Angeles, with JOHN CHEN as its president.

In 2014, the founding team of the Wiki  Education Group invented three patents, committed to the commercialization, tokenization, and AIization of Wikipedia.

Patent 1:

Method for establishing a semantic network (Semantic Network Establishing System and Establishing Method thereof). This patent has also been officially approved by the Chinese Patent Office.

Significance: It uses the measurement method of paragraph points, so that all "commercial projects using Wikipedia software" may use paragraph points to quantify the value of a single paragraph contributor for each entry.

Patent 2:

In the application of artificial intelligence, based on Bayes' law, the content on the network is ranked according to the accuracy of knowledge (Method and System of Transforming Net Content into Optimized Knowledge Base for Universal Machine Learning)

Significance: This patent is a basic patent involving the "semantic search" network, and its commercial value exceeds the market value of Google and Baidu Hyper-RANK (hyperlink) patents.

Patent 3:

System and Process of Pushing Information with Artificial Intelligence Technology:

Significance: This patent is used to change the conclusions drawn by short video platforms such as Youtube and Douyin from analyzing the big data of users' preferences for watching video programs.

According to the algorithm of the big data of this patent, the platform pushes videos with higher knowledge content of "teaching students in accordance with their aptitude" to users, rather than just pushing junk video programs that "cater to the preferences of users".