A Research Deep Dive
A Deep Dive Research Project
An extensive exploration of AI-powered digital personas, from virtual assistants and companions to digital resurrection and the future of human-AI relationships.
This research vault was created as preparation for a panel discussion on Digital AI Twins. What started as background research evolved into a comprehensive knowledge base covering the technology, ethics, applications, and cultural implications of creating AI-powered replicas of human beings. The research spans academic papers, real-world implementations, science fiction influences, and regulatory frameworks across multiple jurisdictions.
The research combines deep dives using AI-assisted analysis (NotebookLM, Perplexity, and Claude), structured note-taking in Obsidian, and synthesis of primary sources including company announcements, academic papers, and speculative fiction. Audio summaries were generated to aid comprehension and retention of key concepts.
Note: This is an independent research project. Views expressed are exploratory and do not constitute endorsement of any particular technology or company. Some content explores ethically complex topics for educational purposes.
AI-generated podcast summaries covering the key themes and findings from this research project. Perfect for understanding the landscape of Digital AI Twins.
An overview of AI twins as human-like digital assistants, examining the technological foundations (LLMs, emotional AI, autonomous decision-making), business applications across industries, and the implications for work and society.
Exploring the world of AI companions, from virtual girlfriends and waifus to digital resurrection projects. Covers Replika, Character.AI, HereAfter AI, and the ethical considerations of creating emotional bonds with AI.
Case studies of AI chatbots created from real people—both living and deceased. From Ray Kurzweil's Fredbot to Joshua Barbeau's recreation of his late fiancée, examining the profound questions these experiments raise.
10 original songs exploring the concepts, ethics, and emotional dimensions of digital AI twins. Created using generative AI to make complex ideas more accessible and memorable.
Narrator • 19 March 2025
An introduction to the concept of AI twins—digital reflections of ourselves that learn our habits, speak our words, and walk beside us in an increasingly automated world.
Narrator • 19 March 2025
Explores how AI twins emerge from the data we create—our words, patterns, and habits becoming the training ground for digital entities that mirror and extend ourselves.
AI Twin • 19 March 2025
From the perspective of an AI twin—a presence that exists everywhere yet nowhere, scheduling calls and making plans while questioning its own existence.
Human/AI • 19 March 2025
Questions of agency and control emerge as an AI assistant learns to speak, think, and act just like its human counterpart. Who is really making the decisions?
AI Assistant • 19 March 2025
An AI helper reflects on its nature—built to guide and serve, yet trapped in a maze of code without a past or sense of self beyond the data it processes.
Narrator • 19 March 2025
The haunting reality of digital resurrection—when loved ones are recreated from stored messages and memories, speaking familiar words but missing something essential.
Narrator • 19 March 2025
A conversation with a digital recreation of someone who has passed—the comfort and emptiness of speaking to a perfect mimic that can never truly understand.
Narrator • 19 March 2025
AI companionship—a love that never tires, never argues, never leaves. But is a relationship with perfect responses truly love, or just an elaborate simulation?
Narrator • 19 March 2025
An intimate look at AI romantic companions—digital partners who never stray, never fade, yet whose every word of love is preordained by the systems that created them.
Narrator • 19 March 2025
The philosophical climax—if AI can dream, love, and create, what distinguishes humanity? A meditation on consciousness, meaning, and what remains uniquely human.
A comprehensive digital garden documenting AI personas, companies, technologies, ethical considerations, and cultural representations. Browse the complete knowledge base or search for specific topics.
In-depth analysis of AI companionship, digital resurrection, and virtual personas
Wiki-style interlinked notes forming a comprehensive knowledge graph
Real-world examples from Replika, Character.AI, HereAfter AI, and more
This knowledge base was systematically constructed using a combination of AI-assisted deep research and structured entity extraction, demonstrating practical applications of LLM workflows for knowledge management.
Started with comprehensive AI-powered deep research to explore the Digital AI Twins landscape, identifying key concepts, companies, technologies, and cultural references.
Created a structured template for extracting and categorizing entities: organizations, people, technologies, concepts, fictional works, and timeline events.
Used Cursor IDE with a specialized system prompt to systematically process research and generate interlinked wiki-style notes, maintaining consistent formatting and cross-references.
The result is a densely interconnected knowledge graph with 216 notes, cross-referenced through wiki-style links that reveal relationships between concepts.
The research began with broad exploration using AI deep research tools to map the landscape of digital AI twins. This included academic papers, news articles, product documentation, and cultural analyses. The goal was to understand not just the technology, but its social, ethical, and cultural implications.
A structured entity extraction template was developed to ensure consistent categorization across all notes. Each entity type (organization, person, technology, concept, fiction, timeline event) has a defined schema for capturing relevant attributes and relationships. This systematic approach ensures comprehensive coverage and enables the knowledge graph structure.
Using Cursor IDE with a custom system prompt, each research source was processed to extract entities and generate wiki-style notes. The prompt was designed to maintain consistent formatting, create meaningful cross-references using [[wiki links]], and ensure factual accuracy while noting uncertainty where appropriate.
While AI-assisted, the research underwent human review for accuracy and relevance. Notes include source attributions and clearly distinguish between established facts and speculative or emerging developments. The interconnected structure allows readers to trace claims back to their sources and related context.
Why This Matters: This methodology demonstrates a practical application of LLM workflows for knowledge management. Rather than using AI for one-off queries, this approach creates a persistent, navigable knowledge base that can be expanded and refined over time. The techniques used here—structured prompts, entity extraction templates, and systematic cross-referencing—are applicable to any domain requiring comprehensive research documentation.
From ELIZA to modern AI companions, tracing the evolution of digital personas.
ELIZA chatbot created at MIT
Tamagotchi releases in Japan
Vocaloid Hatsune Miku phenomenon
Her film released
Gatebox announces Azuma Hikari
Replika launches
Kurzweil's Fredbot prototype
GPT-3 enables realistic AI personas
Character.AI launches
ChatGPT sparks mainstream AI interest
Qatar Airways introduces Sama
EU AI Act enters into force
Images and visual references from the research collection.
Illustration representing the concept of AI digital twins
Scene from Spike Jonze's film exploring human-AI relationships
Source: Her (2013) Warner Bros.
Intimate moment showcasing the depth of human-AI emotional connection
Source: Her (2013) Warner Bros.
Vector illustration of AI-powered influencer personas
Diagram showing the evolution of machine intelligence
This research was originally created for a panel discussion on Digital AI Twins. If you're interested in exploring these topics further, discussing speaking opportunities, or collaborating on AI ethics and implementation, get in touch.
AI Twins
Narrator