The Internet of Credibility ™

The context of content.

Goodbye static content! Welcome to dynamic, neural, relativistic, and contextual content. Chained content that is traceable, versioned, and stateful. Sharable living content capable of supporting differing conclusions, differing semantics, and total diversity of community.

Education is rapidly evolving in the age of Artificial Intelligence. Far beyond the recent explosion in Generative AI innovations our inventions are designed to provide you with educational and data composition tools to share, understand, interact with, and learn through exploration. Assess the structure, merit, credibility and relevance of dynamic digital content across diverse communities including access to authors, experts, syndicated content and diverse web communities.

Understanding is the human foundation of mastering observed information. Assigning distinctive attributes, categorizing, cataloging, and relationally associating are all precursors to effectively articulating what is known about any subject -- whether that subject is real or imagined. The Internet of Credibility is designed to structure information such that it can be utilized more intelligently.

Imagine credibility that is explicitly discoverable rather than a blanket or derived grant. Credibility as a auditable process. Credibility intertwined into content. Credibility that spans across content.

Mining crypto currencies? Imagine mining credibility. Hash that in your cranium for a moment.

The Internet of Inference ™

The intelligence of context.

Semantically networked, context-aware, credible human content has a wild implication: AI Inference is now possible as a proof-based scientifically robust alternative to the predictive-uncertainty of model-trained generative AI.

We've extended beyond the encyclopedic and educational nature of the Internet of Credibility into the world of intelligence. Machine-based inference allows us to create projections beyond what we can imagine using the human brain alone. Allowing us to explore what any size dataset of information implies is possible.

Pattern recognition of broad datasets is the key to reliable inference and prediction. Beyond our human-reliance on rudimentary summarized reports or spending endless hours absorbing knowledge (which may be stale, inaccurate or actively changing) we are limited in the scope of what we can actively retain in memory to identify theoretical models or utilize in practice. The Internet of Inference is an intelligence technology with the potential to enhance the practical value of what you can do with what you know.