Two major problems are affecting education today.

AI Plagiarism
The use of Artificial Intelligence programs such as ChatGPT and other Large Language Models has become a major issue in academic settings across the globe. The development of a method that discourages and/or prevents the use of Artificial Intelligence for academic dishonesty is essential for the future of education.
The Devalued Degree
The problem with the traditional degree is that it does not show the variation of your education levels. Many people are unable to show their strengths through degrees. All you see is a piece of paper, not their strengths and weaknesses in certain areas. Someone, for example, may have a bachelors in sociology but actually have a stronger knowledge base in biology or physics. However, that is not reflected in their degree. Employers have already realized this discrepancy and more employers are seeing less and less value in college degrees in the hiring process.


We aim to solve these problems.
How?

Essay Integrity App
We have developed a patent-pending method to aid in blocking the use of AI to write and submit essays. The primary element is a layer of accountability between the student and the professor/teacher, all within one easy-to-use word processor application. It will not only be effective but also easy to use anywhere.
American Education Platform
We are developing a platform that revolutionizes the education system with proven American principles. Our platform concept is powered by Adam Smith’s vision of free public education for the sake of a moral and competent society. Our credentialing application will be free so people can learn however they want and still get credit for it. Thus empowering everyone to advance through merit and hard work rather than prestige. Along side the free credentialing application, we are developing a marketplace of knowledge where educators compete on an open market with the student as the consumer.

Recent Highlights
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Transhumanism and AI: Aaron Kheriaty Lecture Review
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Can’t Never Did Nothing
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