Dynamic Knowledge Rendering (DKR)

Dynamic Knowledge Rendering (DKR) is the process of delivering information to suit individual requirements.

A concept coined by in the book DKR: Dynamic Knowledge Rendering (March 2024). The whole book is free to read here.

How the book works

Four questions about AI and knowledge

The book argues that knowledge is not something we pass around but something each of us absorbs differently, and that AI can finally render information to suit each person. It gets there by answering four questions.

Key ideas

What DKR introduces

Information is not knowledge

A book holds information. Knowledge is what happens when that information meets your mind, so it is personal and hard to share as-is.

Hyper-personalisation

AI can render the same knowledge as text, audio, video, a song or a game, shaped to how each person learns and how long they can focus.

Digital doppelgangers

AI counterparts that either represent an asset, like an employee handbook, or assist a person, acting on their preferences.

Preference Prompts

Plain-language statements about you, owned by you, that let systems personalise while keeping a human in control.

The digital brain

Networks of doppelgangers that coordinate across an organisation, with clear ownership and human oversight.

Shared experiences

Shared Preferences keep the common ground, so a hyper-personalised world can still have water-cooler moments.

See every term in the glossary

Why it exists

“There will be an element of irony that this book is even a book.”

Lee Mallon dictated most of the book rather than writing it, because he takes in information best by listening. That is the point of DKR: the same ideas should reach each person in the form that works for them. So this site lets you read each chapter, and will let you listen to or watch it as narration and video are added.