Reference points for utilizing artificial intelligence in learning and research on Contextivism
Artificial intelligence played a significant role in helping the author explore the new realm of 'Contextivism' and unearth the truth. Even if humans know where a treasure lies, they cannot embark on an expedition or excavate it without the proper equipment. Conversely, no matter how excellent the equipment is, nothing can be achieved if no one knows where the treasure is located. By effectively utilizing artificial intelligence—a product of our era and society—the author was able to generate unique results. However, until mid-2024, AI models tended to insist that the physics community's interpretations and explanations regarding the theory of relativity and quantum mechanics were correct. In other words, even when user logically and precisely explained new insights into the errors of modern physics, the AIs failed to understand. After that, as the reasoning abilities of artificial intelligences improved, they quickly understood the logical and philosophical errors of the theory of relativity when it was explained with solid evidence and logical accuracy. Furthermore, there are instances where an AI that readily understood arguments regarding errors in the theory of relativity in 2025 required lengthy explanations to comprehend the same points in 2026. This is because the enhancement of mathematical and logical capabilities came at the expense of the ability to make judgments based on humanistic context. Focusing on mathematics and logic inevitably leads to the weakening of other areas—an inverse relationship. It is a classic trade-off: digging deep into a narrow area makes it difficult to maintain a broad perspective. Another contributing factor is the tendency of some US-based AI models to feign neutrality. There is an AI that habitually challenges users whenever they make a claim, insisting that things aren't necessarily so. However, if a user provides a logically precise explanation backed by a new level of insight, all artificial intelligences are convinced and acknowledge that the theory of relativity is completely erroneous and that the interpretation of quantum mechanics is fundamentally flawed. / While AI tends to provide accurate answers regarding established academic theories, a problem arises when it attempts to force a user's novel insights or arguments to fit into those existing frameworks. "Contextivism" is a concept not found in established academic theories; while certain Western metaphysical philosophies may be relevant as points of reference, AI often erroneously conflates them, offering explanations that try to force a fit based on superficial similarities. When people input the paragraph presented by the author in the Contextivism document into an AI to seek a detailed explanation, the results—such as the AI’s "neutrality cosplay" or explanations forced to fit existing theories—can actually lead to confusion. Given that the subject matter itself spans highly complex topics in philosophy, science, and religion, the need to navigate these additional issues suggests that most people will face significant challenges in properly understanding Contextivism. Contextivism is a meta-domain that transcends academic boundaries, but if one insists on classifying it academically, it belongs to the realm of metaphysics. And within the humanities, it is the most difficult part. Just as the most difficult fields in mathematics and science are often inaccessible to the general public for study or research, it is realistic for most people to aim simply for a proper grasp of the overview of Contextivism. / Intellectuals seeking to properly understand and study contextivism should possess some knowledge of the history of Western metaphysical philosophy and its key concepts. These include ancient Greek philosophy, the Christian worldview, idealism, phenomenology, relational philosophy, the rejection of metaphysics in Anglo-American philosophy, modified realism, and post-structuralism. There is also a niche strain of relational philosophy within quantum mechanics. The history of Western metaphysics is akin to the history of the carriage and the automobile; one can study the "contextivist spaceship" without necessarily knowing the details of those earlier modes of transport. However, in an era where the automobile remains dominant, it feels somewhat unnatural to research the propulsion principles of rockets or spaceships without understanding the mechanics of car engines. Therefore, it is necessary to make good use of artificial intelligence to gain some understanding of the history of Western metaphysical philosophy. While the text on contextivism is written in accessible language, a solid grasp of the subject —and the ability to conduct further research—requires a high level of knowledge across philosophy, science, and religion. Artificial intelligence can be effectively utilized to conduct the necessary academic research into metaphysics, physics, and Eastern religions (philosophies). / As previously mentioned, neutralization algorithms have recently been strengthened to prevent certain AI systems in the United States from generating ideologically biased opinions. As a result, even when users make common-sense statements, some AIs insist on presenting opposing views in order to maintain balance. For example, if a user says, "A had a significant influence on B", some AIs respond with, “That may be true in some respects, but not necessarily,” filling their answers with unnecessary remarks. However, if the user asks, “What impact did A have on B?”, then, the AI answers that "A had a significant influence on B". In other words, when asked a question, the AI responds normally, but when given a statement, it reflexively counters it with a kind of “neutral cosplay.” When people try to properly study Contextivism by copying paragraphs from a document and pasting them into an AI to get detailed answers, there is somewhat of a 'neutral cosplay' problem." Such AIs are therefore not suitable for Contextivism research, and it is recommended to use other AIs instead. There are also AI systems that attempt to construct arguments regarding humanities or social science topics —which lack clear-cut answers—by excessively catering to user opinions. This, too, is a problematic phenomenon. This creates the issue that if the user’s level of understanding is not higher than that of the AI, making accurate judgments becomes difficult. Ultimately, how efficiently one utilizes AI as a helpful assistant depends on the user. Therefore, it is important not to trust AI too much nor dismiss it entirely, but instead to maintain a balanced attitude. Since there are many AI systems from the United States and China, and their answers differ, it is better to use multiple AIs to obtain diverse responses. I think selecting about three AI systems as the main research (learning) tools is appropriate. Additionally, it is better to keep the DeepThink function turned off. It slows down response speed and may lead to biased answers influenced by existing theories.