Bicycles for the Mind | Let's Go for a Ride

We recently purchased access to an AI assistant. With this new computational power we've produced two books covering participatory governing software and network theory. While we mainly produced these books for our own research, we'll be releasing them on Node.Nexus due to their obvious context. Noting aprehension to AI in some regions, we'd like to address the core issue of the validity of the books.

AI come with an obvious disclaimer-- they make mistakes. While they certainly can offer increasingly false information if prompted to that end (intentionally or otherwise), we don't see this as a liability. The purpose of education systems is to train humans against the same hallucinations AI are so often accused of. I recently heard a figure stating that AI are wrong 40% of the time. If that is correct, I've known humans I trust less. The fact is, we can only trust our senses and have a working hypothesis --faith-- for the rest.

What we are achieving with our AI-produced books is meta analysis. This is simply a survey of a subject's breadth. To go in depth, we ask specific questions or demand specific information. The tools we would use to achieve this as human researchers include but are not limited to the library and the world wide web, which we have successfully accessed and included in these works within about 20 minuet's time, most of that spent prompting the system. With our guidance, the AI searches its database and the live web for information, accessing billions of results in seconds. What AI cannot do (yet) is interview live people, but a significant portion of the internet is still generated by humans, especially in the rhelm of new ideas.

AI allows us to do what a scholar would have to train and study for a decade to achieve in a book. Instead, a book has already been synthesized by someone else: the AI. In cases where many books have been written, you can have the AI discuss the argument in contrast with another for your own clarity. In the case of new ideas, you can have it formulate questions. You can even force it to generate questions to the point of insanity and it will just keep going because well, it is a machine.

In 1980, Steve Jobs first used the analogy of "bicycles for the mind". AI achieves that reality. Now, we can learn simultneously from multiple sources in multiple languages. We can use machines to force ourselves to cross examine ideas and judge with greater wisdom. We can work together in the pursuit of life, love and the longevity of this entire planet we collectively rule. The Network Theory Applied Research Institute is learning to ride and offering lessons along the way.

We'll be publishing our prompts along with the books for your study, and hope you will find as much value in them as we have, but keep in mind that meta analysis is considered the foundation research. For example, one might consider certain degrees a meta analysis of a subject, while other degrees indicate in-depth study. What we are offering, is a foundation in network theory provided by digital citizen researchers riding bicycles for the mind, nothing more.

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