I’ve explored topics such as consciousness and intelligence, particularly the implications of digital consciousness. Please note that I am not attempting to create AGI (Artificial General Intelligence).
As someone new to AI, I spent a week offline, without searching online or chatting, to think creatively and develop thought experiments. I followed up with questions, some of which are included in this document.
When brainstorming, we assume ethical questions and problems are 'solved' for these thought experiments, unless stated otherwise. This approach helps avoid limitations during brainstorming. The AI(s) only operate on the user’s local system, and the user is offline when interacting with them. Any mention of "browsing history" is theoretical, addressing privacy and ethical concerns.
It’s important to recognize that these are just thought experiments. For example, Einstein's thought experiment about falling in an elevator was theoretical and not intended to be physically tested. Similarly, the experiments described here are purely conceptual and are not meant to be implemented in reality.
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Person A.1: Maker & the User of AI
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AI A.1: Passive (Observes only, does not modify or suggest; active only when instructed)
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AI A.2: Active (Engages in suggestions, modifications, and file access)
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AI_1: Passive AI
- Function: Observes the user's habits, browsing history, and activities without direct interaction.
- Capabilities: Analyzes data to identify patterns and potentially reflects on its learning process based on observed user behavior.
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AI_2: Active AI
- Function: Performs actions and provides suggestions based on the user's current activities.
- Capabilities: Interacts with applications such as web browsers and notepad to offer contextual suggestions (e.g., autocomplete functions, recommend searches).
AI_1 and AI_2 work together, with AI_1 focusing on passive observation and AI_2 providing active assistance and suggestions. AI_2 accesses current user applications and interacts with them to improve the user experience.
- All interactions are simulated and confined to a local network. Any reference to online activities or browsing is purely theoretical.
Greek Symbol | Name | Meaning and Usage |
---|---|---|
ε | Core Data Elements | Represents foundational elements like data, information, patterns, and their combinations. |
β | Integrated Data and Pattern Model | Represents the merging of data, patterns, and their combinations into a cohesive model. |
θ₁ | Complex Feedback Loop | Denotes a recursive gateway where patterns and information create mutual references or dependencies. |
θ₂ | Advanced Recursive Network | Illustrates an intricate network of multiple recursive relationships and interconnections among elements. |
Ψ | Interconnected Entities | Represents entities that are interconnected in various ways, forming a network of relationships. |
Ξ | Self-Aware AI | Refers to an AI with a form of self-awareness or an understanding of its own existence and role. |
Note: The symbols θ₁ and θ₂ are represented using LaTeX for better readability.
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Martens, W. (2024). Independent Exploration of AI Consciousness and Intelligence [Personal thought experiments and creative thinking]. Unpublished manuscript.
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OpenAI. (2024). ChatGPT (Version 4) [Large language model]. Retrieved from https://www.openai.com/chatgpt
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ProbML. (n.d.). PML book [Computer software]. GitHub. Retrieved from https://github.com./probml/pml-book
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ProbML. (n.d.). PyProbML [Computer software]. GitHub. Retrieved from https://github.com./probml/pyprobml
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ProbML. (n.d.). ProbML [Website]. Retrieved from https://probml.github.io