Using Artificial Intelligence and Machine Learning for Independent Scientology - What the Future Holds

March 8th, 2023

A Virtual Independent Scientology Librarian

Librarians have always been key players in the organization and retrieval of information. They are responsible for ensuring that information is organized, accessible, and up-to-date. With the rise of AI and machine learning, it is now possible to use these technologies to create a librarian that can manage and cross-reference vast amounts of data on a large subject. In this article, we will explore how AI and machine learning can be used as a librarian for a large subject that can benefit from cross-referencing information.

One of the key benefits of using AI and machine learning as a librarian is that they can process and analyze vast amounts of data much faster can. This means that they can organize and cross-reference information much more efficiently, making it easier for users to find the information they need. Additionally, AI and machine learning can be used to identify patterns and relationships between different pieces of information, allowing for more accurate cross-referencing.

Artificial intelligence (AI) and machine learning (ML) have been among the fastest-growing technologies in recent years and are a very hot topic of late with their applications spanning various fields. One of the most promising applications of AI and ML is the creation of a library or repository that can provide users with access to vast amounts of data on specific subjects and cross-reference them, such as Independent Scientology, as an example.

In this article, we will explore the future potential of AI and ML for creating a library that can store and analyze all the data in Independent Scientology putting it at your fingertips with citations along with a few other controversial possibilities using AI similar to Chat GPT, before we do our podcast on the subject later in the week.

AI and ML have been used extensively in data analysis, making it possible to identify patterns, trends, and associations that would be difficult, if not impossible, for humans to detect. By leveraging these technologies, it is possible to create an AI that can store vast amounts of data, collate it, compare it, cross reference it, and output it when asked for. This data can be analyzed in real-time using AI and ML algorithms, providing users with valuable insights and knowledge that they were unaware of, the correlation of different parts of the data on the research timeline, overlooked data due to misunderstoods, the lack of earlier referencing such as in the case of LRH lectures, or missing data to date.

If you have ever had to search for information in Independent Scientology, you know how frustrating it can be given the poor search engine quality in PDF applications for example. Finding information can be quite tough if not impossible. With a chatting AI librarian, you can ask almost any kind of question to get ALL of the data around any given subject (with references) and an almost uncanny human reply with the full aspect of the material.

The Current Downside of AI on the Net

Should you feel like testing Chat GPTs, or Copy AI's knowledge of Scientology you will be surprised how good it can be to a point. Both platforms can be very negatively biased given the questions they are asked. (Just like the internet.) It is almost like being in a dream or on a movie set. Everything is two-dimensional, with almost but not quite the right answers to your questions. primarily because the data it has is from the internet.

As LRH says in the Data Series Policy Letters, Paraphrased (there is nothing more valuable than a reliable SOURCE of information, otherwise, you don't have an accurate picture of the ideal scene.) In short, a computer is only as good as the information given to it.

This wouldn't be a problem with a private Independent Scientology Chatbot librarian for the tech and policy as we will have an unbiased database with all the references we have, thankfully.

Future Potentials

AI and ML algorithms can be used to analyze and categorize data on specific subjects, making it easier for users to search for relevant information. Additionally, these technologies can be used to create predictive models that can forecast trends and future events based on historical data of past users given what is going on in the Independent field or the world at large affecting those users. in other words, the AI will have a record to respond more fully and know what and how to answer with those references.

Another area where AI and ML can be used is in natural language processing (NLP). NLP is a field of AI that focuses on the interaction between humans and computers using natural language. With the help of NLP, it is possible to create chatbots and virtual assistants that can communicate with users in a natural language, making it easier to access and analyze data on specific subjects where the AI can help with ethics conditions, writing programs for your business, data evaluation, and a host of other things.

In conclusion, while the technology is still evolving, the future potential of AI and ML for creating a is vast, can see many exciting in this field in the years to come.

Check out our upcoming podcast this week for an in-depth discussion of what we think is just around the corner for Independent auditing, training, data searching, and access using artificial intelligence! It will be a fun one for sure.