Reference points for utilizing AI in learning and research on Contextivism 


The Contextivism document contains explanations of the most difficult aspects of philosophy, science, and religion, 
so it is extremely difficult to understand properly without the help of artificial intelligence.

Artificial intelligence systems examine vast amounts of knowledge across different fields, make inferences in an instant, 
and provide detailed answers.

Furthermore, if any details of Contextivism are not understood, one can continue asking artificial intelligence to clarify and verify them.

Therefore, artificial intelligence can be said to be an essential tool for people who want to understand 
Contextivism accurately and study it further.

One can copy the author's explanatory passages from the Contextivism document, paste them into the chat windows of 
various artificial intelligence systems, and refer to their detailed explanations.

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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 modern physics when it was explained with solid evidence and logical accuracy.

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Artificial intelligence systems tend to provide fairly accurate answers to questions about existing academic theories.

However, Contextivism presents ideas that do not exist in established academic theories, and requires meta-level insights that 
go beyond the logical circular circuits of language.

Therefore, some of the latest artificial intelligence systems, which have only strengthened their logical reasoning capabilities, 
have relatively poor contextual understanding abilities, and consequently sometimes have problems with their explanations.

Furthermore, some American artificial intelligence systems have had a neutral-posturing function added to their algorithms 
in order to prevent them from generating biased ideologies.

As a result, there are some artificial intelligence systems that tend to add small counterarguments to the user's opinions.

In other words, some artificial intelligence systems invariably insert a qualification such as 'however' 
right from the beginning of their explanations, saying things like, "Your opinion has considerable grounds. However..."

(In particular, two of the most famous types of American artificial intelligence systems show this tendency quite strongly.)

Therefore, when a user is discussing highly sophisticated metaphysical topics, an artificial intelligence that 
appends flawed logical counterarguments or nitpicking remarks to the end of each paragraph of its response hinders research into Contextivism.

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On the other hand, artificial intelligence systems that try to develop their reasoning in accordance with the user's opinions 
as much as possible also have some problems.

Therefore, there is a problem in that users cannot make accurate judgments unless their level of understanding is higher than 
that of the artificial intelligence.

Ultimately, since how effectively artificial intelligence is utilized as an assistant depends on the user, 
it is necessary to maintain a balanced attitude, neither trusting artificial intelligence too much nor rejecting it.

And since there are many artificial intelligence systems and their answers also differ, 
it is advisable to use as many different systems as possible and listen to a variety of answers.

There are currently about 10 major, high-performing artificial intelligence systems globally; 
it is recommended to seek out diverse perspectives from at least three of them regarding the same question.