Hyper-Personalised AI
DKR: Dynamic Knowledge Rendering
The complete book by Lee Mallon, free to read online. Four questions about AI, knowledge and what it means to be human, in 20 chapters (about 2 hours of reading).
Opening
Before we begin
- 01PrefaceWhy Lee Mallon wrote Dynamic Knowledge Rendering: how data becomes information and knowledge, and why AI can make knowledge personal.2 min
- 02IntroductionThe four questions behind the book, a hotel lobby story about how differently we each take in the world, and the first definition of Dynamic Knowledge Rendering (DKR).10 min
Question One
What implications does AI have for understanding knowledge and wisdom?
- 03From Data to InformationHow raw data becomes information through context, why accuracy, relevance and timeliness matter, and where Dynamic Knowledge Rendering adds a new layer.4 min
- 04Understanding KnowledgeWhy books hold information, not knowledge: factual, conceptual, procedural, tacit and meta knowledge, and how AI can personalise how we absorb them.6 min
- 05WisdomHow humans have preserved and shared wisdom, from cave paintings and the printing press to mass media, the internet and generative AI.9 min
Question Two
What are the effects of accelerating knowledge absorption through hyper-personalisation?
- 06Learning StylesVisual, auditory, reading/writing and kinesthetic learners, and how Dynamic Knowledge Rendering adapts information to each person's learning style.4 min
- 07AttentionAttention as the scarcest resource of the information age, and how DKR uses each person's attention scope to inform rather than exploit.6 min
- 08PersonalisationPreference Prompts, derived and shared preferences, and how hyper-personalisation can keep shared experiences intact, told through a football match.5 min
Question Three
How can businesses and individuals safely utilise AI in this new era of technology?
- 09Generative AIWhat generative AI and large language models are, how transformers, tokens and parameters work, and how Lee Mallon uses generative AI every day.7 min
- 10Digital DoppelgangerDigital doppelgangers explained: representative and assistive types, how they are created, their six-layer anatomy, natural language security and ownership.12 min
- 11Digital BrainHow networks of digital doppelgangers form an organisational digital brain, with shouting, the Doppelganger Security Exchange and human oversight.7 min
- 12Dynamic RenderingContext data, temporal scope, modality signifiers, Universal Domain Documents, the end of accessibility and the Preference Exchange Protocol.17 min
- 13AI-Driven OrganisationsHow organisations adopt DKR and AI: digital transformation 2.0, the mindset barrier, personalised AI training and architecting an AI-infused organisation.12 min
Question Four
What are the global implications of AI, and how might they transform humanity?
- 14FearThe global race for AI: geopolitics, the AI talent shortage, the dominance of big tech, and why safety and individual ownership of doppelgangers come first.7 min
- 15Bias and TruthData as truth and information as bias, AI hallucinations and truth graphs, technological colonialism, AI's environmental impact and its potential for growth.7 min
- 16AGIWhat artificial general intelligence (AGI) could mean for knowledge, science and ethics, and why its eventual form is likely to surprise us.2 min
- 17Preserving WisdomHow to preserve humanity's wisdom in a digital, AI-driven age, from bit rot and physical libraries to off-planet archives.4 min
Closing
Where this leaves us
- 18ConclusionBalancing hyper-personalisation with community, the seven stages of digital doppelgangers, and four principles for embracing DKR and AI today.7 min
- 19Behind the ScenesWhy Lee Mallon created the term Dynamic Knowledge Rendering, how he launched it, and how AI was used in writing the book.3 min
- 20Thank YouThe author's thanks to readers and to the people who helped shape Dynamic Knowledge Rendering.1 min
This is the text of the book as first published in March 2024. References to "now" and "2024" reflect when it was written.