About

We are building the world's largest collection of non-fiction books.

We focus on interactive learning and content created by generative AI. All books in the Helps Library are public domain to be freely used and shared by anyone. We promote group interaction and the inclusion of experts in the AI process.

Activities at the Helps Library

Interact with books: Read or talk to a book with chat. Dive into the glossaries, directories and question banks created from the book. Interact with an expert on the topic. Create or join a book club or role-play chat related to the book.

Create a book: Create a non-fiction book for the library simply by picking a topic see index

Be an expert on a book: Offer to help users learn more than what is known by the AI.

The role of books

Non-fiction books serve as both an optimal unit of knowledge for a topic and a shared reference point for that topic. This important role of books has been negatively affected by the internet. Knowledge has been diffused to such a degree that the useful boundaries of a particular topic are lost and no central source of definitive knowledge exists.

AI will shift the center of knowledge back to books for two reasons:

1. The cost of creating books is now much lower. Public knowledge can be pulled form LLMs in book form and given to everyone for free.
2. Books can now talk. They can answer questions in real time, any time. This will promote willingness to extend beyond the confines of smaller units of knowledge.

Our objective is for each of our books to be the best place to find current, accurate information on the topic. This will be accomplished with regular expert Q&A of the book and AI fact checking and updates.

The future of knowledge acquisition

Most knowledge resources will be created by large language models (LLMs): LLMs offer the combination of universal public knowledge and the ability to question it with generative AI. It will be difficult for humans to compete with LLMs in the creation of textbooks and other non-fiction writing, except in the case of new knowledge. New knowledge will be generated by humans and will then quickly be included in the public domain of the LLMs. Just as money and communication have undergone digital transformations, so will knowledge.

Humans will question more: The key to the success of LLMs will be their questioning functionality. Readers can question continuously if they don't understand or suspect factual errors or bias. Never before have humans been given this power. Humans will come to expect this and will require that new human knowledge be submitted to LLMs in real time to facilitate questions.

Knowledge will be more descriptive, not prescriptive: General LLMs are commodities that are inexpensive relative to their benefit. They can be used to fact check each other at little cost. If one LLM purports a truth that the others do not, this will be publicly flagged. This will result in only the most descriptive knowledge sources being trusted, i.e., those that present all opinions and have the least inaccuracies and bias.

Computers will become fact calculators. Just as we trust and rely on calculators to crunch our numbers, we will come to trust and rely on computers to tell us descriptive knowledge.

Libraries will become central stewards of facts. The internet resulted in a diffusion of knowledge acquisition and fact verification. Libraries will reverse this and reclaim their role as central stewards of knowledge search and acquisition.

Knowledge will be more global and cross-disciplinary: LLMs will continue to ingest more human knowledge from more diverse sources globally. The benefit of all of this knowledge will be incorporated into local knowledge resources created by the LLMs. There will also be unified resources, such as object networks and glossaries, which will bring together different descriptions of the same entities and words across all fields.

Experts will be more valuable: The line between public knowledge and private knowledge will become much clearer. Public knowledge will be free for everyone and there will be a general expectation that everyone has this knowledge. An expert will be a person who knows something the LLMs do not because of experience or humanness. Experts will be in high demand because of their ability to differentiate and add value.

Society will benefit:These transformations will benefit society by making basic public knowledge freely available, increasing critical thought and promoting exploration across geographies and disciplines.

Materials

One Page Introduction	Flyer for Experts	Flyer for Sponsors

Join us

We celebrate the abundance of knowledge in the world. AI has the common knowledge. People have the uncommon knowledge. We want to hire and partner with people who have the knowledge that AI doesn't because of their unique experiences and humanity. If you know or think differently, join us.

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