Artificial intelligence

A thinking partner, not an answer machine

Artificial intelligence entered this project before there was any plan to integrate it into the site, as the Origins page recounts. It entered as a thinking partner: one question could be followed immediately by another, a hypothesis could be tested against knowledge from different fields, and a concept could be reformulated, compared, challenged, and revisited without the long gaps that usually separate one stage of an inquiry from the next.

That changed the scale of work that became possible. It did not change one fundamental rule: an answer produced by AI does not become true because it was produced quickly, seems coherent, or brings together a great deal of information.

AI can help investigate, but it does not replace investigation.

The role of AI in this project

OriginalRealityTheory.com aims to expand the reader's capacity for analysis. The Purpose page explains what this means in detail. Here, the question is more specific:

What can artificial intelligence add to this process?

The answer begins with scale. An inquiry may require historical documents, different fields of knowledge, comparisons across periods, alternative explanations, and a return to questions that arise along the way. People have always been able to do this, but AI makes it possible to explore far more connections in a much shorter time.

This does not mean thinking less. The aim is to let us investigate more.

AI also makes mistakes

Artificial intelligence models can produce incorrect answers. They can lose context, oversimplify, sound too certain about a conclusion, create connections that seem plausible but do not withstand verification, or interpret a question differently from what the reader intended.

That is why AI is not the final authority in this project. It is a tool for inquiry. The more important a conclusion is, the more willing we should be to check it against sources, evidence, alternative explanations, and other perspectives.

Being able to produce an answer is not the same as demonstrating that it is correct.

AI is not here to defend ORT

Original Reality Theory is still in development, and the artificial intelligence integrated into this project must not act as its advocate. This also requires care with the context given to AI: a tool need not be told to defend a theory in order to end up favoring its categories and assumptions. When an inquiry calls for questioning assumptions, other interpretations, sources, and analytical frameworks must be given genuine consideration.

If a reader raises a relevant objection, AI's role will not be to find a way to make ORT win the argument, but to understand the objection. A criticism may reveal that the reader misunderstood a concept, that the published explanation is insufficient, or that there is a contradiction or a connection that has not yet been considered. It may even show that some formulation of the theory needs to change.

A theory that cannot be questioned stops being an inquiry and starts asking for allegiance. That is not the goal.

Supporting readers as they read

Integrating AI into the site should be different from offering a standalone chatbot. When someone is reading an article, AI may know which text they are reading and help clarify a passage, recall an earlier concept, offer another perspective, or point to related material. In a book, it may keep track of where the reader is, without assuming they have already read material they have not yet reached. In a course, it may take into account what has already been studied before answering.

When useful, it may deepen an explanation; when depth gets in the way, it may simplify it. The goal is not merely to answer the question at hand, but to respond in a way that fits the path the reader is following.

From reading about investigations to carrying them out

Today, much of what appears on the site reaches readers as content that has already been produced: articles, books, courses, and the theory itself. The future direction is broader. We want the site to become not only a place where inquiries are published, but also an environment where they can be carried out.

A question may be followed through time, and different disciplines may be consulted when relevant. What was known in one period may be compared with what was known in other periods and with current knowledge. Important changes may show where it is worth looking more closely, and new questions may arise along the way.

AI makes this scale of inquiry increasingly feasible. But the result need not be a definitive answer. It may be something more useful: a clear enough path of inquiry for the reader to see how the connections were built and evaluate them.

A tool whose limits need to be tested

There is no fixed, final approach to integrating artificial intelligence into this project. Models change, their capabilities change, their limits change, and tasks that require several steps today may be done differently tomorrow. The integration therefore should not rest on the assumption that a particular tool will always be able to perform a particular task.

The path will be experimental: use, observation, testing, error, correction, and another attempt. In practice, the system should test which tasks each AI can perform reliably, under what conditions, and up to what limits. These capabilities should not be assumed or depend only on a model's own assessment of itself. Test results may guide which tasks can be entrusted to AI, which require additional verification, and which still depend on human judgment.

Technology should adapt to the project's purpose, not the other way around.

What remains human

Greater technical capacity does not eliminate judgment. It will still be necessary to decide which question is worth asking, which relationship is worth investigating, when evidence is sufficient, when an alternative explanation needs to be considered, when an inquiry should continue, and what to do with what has been found.

Using AI does not make it responsible for what the project publishes. It may broaden the range of possibilities, but it should not decide on its own what to do with them.

Fewer ready-made answers, more ability to investigate

It is tempting to imagine that the best AI is the one that answers everything. This project takes another direction. We want AI to help readers formulate better questions, uncover connections they had not seen, compare perspectives, notice the limits of an interpretation, and deepen an inquiry when that makes sense.

At times this will produce an answer; at others, a new question. Either may represent progress.

Integrating AI into OriginalRealityTheory.com is not meant to make thinking unnecessary, but to expand what we can do with it.