Minority View?

The rise of AI powered LLMs validates logical western thought processes in a number of ways. First, LLMs are trained on massive datasets of text and code. This means that LLMs are exposed to a wide range of western thought, including logic, reason, and empiricism. As a result, LLMs are able to generate text that is consistent with these western values. Will other cultures try to build alternative models based on their languages or cultural perspectives?

Second, LLMs are able to learn from their mistakes. When an LLM generates text that is not consistent with logic or reason, it is able to identify the errors and correct them. This process of learning and improvement is essential for the development of any intelligent system, and it is one of the things that makes LLMs so powerful.

Third, LLMs are able to generalize to new situations. This means that they can apply the knowledge they have learned to new problems and challenges. This ability to generalize is essential for any intelligent system that is to be successful in the real world.

In contrast, minority or individualistic thought processes are often based on emotion, intuition, or personal experience. These types of thought processes are often not as effective as logical western thought processes because they are not based on evidence or reason. Additionally, minority or individualistic thought processes are often not generaliz'able' to new situations.

However, it is important to note that LLMs are not perfect. They can still make mistakes, and they are not always able to generate text that is consistent with logic or reason. Additionally, LLMs are still under development, and it is possible that they will become even more powerful in the future.