Information

# Core Variables UCID operationalizes human-scale information dynamics through **six core variables**, adapted from the principles of Information Dynamics (ID). These variables bridge cosmic-scale phenomena (e.g., gravity, time) with human experiences (e.g., legacy, ethics). Below is a detailed breakdown: ## **1. Existence (X)** **Definition**: A binary condition indicating whether information **impacts legacy or decisions**. \[ X_{\text{user}} = \begin{cases} 1 & \text{if the information is meaningful and legacy-defining}, \\ 0 & \text{otherwise}. \end{cases} \] **Cosmic Analogy**: In ID, galaxies exist ($X=1$) because their gravitational clumping ($\rho_{\text{info}} \cdot \kappa \geq 1$) exceeds thresholds. **Human Context**: - A career pivot ($X=1$) shapes your legacy. - A fleeting thought ($X=0$) does not. **Example**: A scientist’s published paper ($X=1$) contributes to their legacy, while a discarded coffee stain ($X=0$) does not. ## **2. Information ($\mathbf{I}$)** **Definition**: A vector encoding measurable properties of your life. UCID organizes information into four nested layers, each with distinct mathematical properties: 1. **Universal Information ($\mathbf{I}$)**: The irreducible substrate of all knowledge, analogous to a statistical population. While $\mathbf{I}$ cannot be directly observed, it encompasses all possible states (e.g., thoughts, skills, decisions). 2. **Constructed Axes ($\hat{\mathbf{I}}^\alpha$)**: Abstract models derived from $\mathbf{I}$ to interpret specific domains. Examples include career goals ($\hat{\mathbf{I}}^{\text{career}}$) or emotional states ($\hat{\mathbf{I}}^{\text{emotion}}$). These constructs function like coordinate systems in physics but are scoped to human contexts. 3. **Measurable Axes ($\mathbf{i}^\beta$)**: Numeric or categorical dimensions quantifying $\hat{\mathbf{I}}^\alpha$. For instance, job applications ($\mathbf{i}^{\text{applied\_job}}$) or mood scores ($\mathbf{i}^{\text{mood\_score}}$). 4. **Observations ($\hat{\mathbf{i}}^\beta_j$)**: Recorded values along measurable axes (e.g., $\hat{\mathbf{i}}^{\text{mood\_score}}_{t=2023-11-01} = 7$). --- ## **3. Contrast ($\kappa$)** **Definition**: Measures **meaningful differences** in priorities or states. \[ \kappa_{\text{user}} = \frac{\text{Difference in Goals}}{\epsilon_{\text{user}}}. \] **Cosmic Analogy**: Galaxies form when $\kappa_{\text{gravity}} = \frac{\text{Distance Between States}}{\epsilon_{\text{cosmic}}} \geq 1$. **Human Context**: - A career shift ($\kappa_{\text{user}} \geq 1$) contrasts sharply with trivial actions. - $\epsilon_{\text{user}}$ adjusts how granularly you perceive differences (e.g., encrypting emotions vs. sharing raw data). **Example**: A teacher’s pivot from traditional to project-based learning yields $\kappa_{\text{user}} = 1.2$, marking a meaningful change. --- ## **4. Sequence ($\tau$)** **Definition**: An **ordered progression of decisions or experiences**, forming your legacy. \[ \tau_{\text{user}} = \left( \mathbf{I}_1, \mathbf{I}*2, \dots \right). \] **Cosmic Analogy**: The cosmic $\tau*{\text{cosmic}}$ tracks galaxy formation over time. **Human Context**: - A decade of job applications ($\tau_{\text{user}}$) reveals patterns (e.g., consistent ethical choices). - Preserved as an **edge network**, $\tau_{\text{user}}$ outlives platforms. **Example**: A climate activist’s $\tau_{\text{user}}$ (protests → policy advocacy → founding a nonprofit) becomes a knowledge clump for future generations. --- ## **5. Resolution ($\epsilon$)** **Definition**: Controls **data granularity**, balancing privacy and utility. \[ \epsilon_{\text{user}} \in [0, 1] \quad \text{(0 = raw data, 1 = anonymized trends)}. \] **Cosmic Analogy**: Planck-scale $\epsilon_{\text{Planck}}$ defines what is physically perceivable. **Human Context**: - **High $\epsilon$**: Anonymized summaries (e.g., “My carbon footprint decreased by 20%”). - **Low $\epsilon$**: Raw data (e.g., encrypted voice recordings). - **Privacy Tool**: Federated learning ensures sensitive $\mathbf{I}$ remains on-device. **Example**: A doctor might set $\epsilon_{\text{user}} = 0.3$ to share anonymized patient trends while encrypting personal notes. --- ## **6. Repetition ($\rho$)** **Definition**: Quantifies **consistency in actions**, rewarding habits over one-offs. \[ \rho_{\text{user}} = \frac{\text{Number of repeated actions}}{\text{Total actions}}. \] **Cosmic Analogy**: Star formation cycles ($\rho_{\text{cosmic}}$) drive galaxy evolution. **Human Context**: - A developer who codes daily has $\rho_{\text{code}} = 0.9$. - $\rho$ identifies growth patterns (e.g., “I meditate 80% of days”). **Example**: A farmer’s consistent use of sustainable practices ($\rho_{\text{sustainable}} = 0.8$) builds trust in their legacy. --- ## **7. Mimicry ($M$)** **Definition**: Alignment of **decisions with ethical or creative goals**, derived from $\tau_{\text{user}}$ analysis. \[ M_{\text{user}} = \frac{\text{Similarity between choices and goals}}{\kappa_{\text{max}}}. \] **Cosmic Analogy**: Quantum mimicry (entanglement) in ID. **Human Context**: - High $M$ (e.g., $M_{\text{AI ethics}} = 0.9$) means actions closely mirror values. - Tools like Pebble analyze $\tau_{\text{user}}$ to flag misalignment. **Example**: An AI developer’s code mimicking sustainability guidelines ($M_{\text{user}} = 0.85$) signals ethical alignment. --- ## **Interactions In the Strange Loop** These variables form a **reciprocal system**: 1. **Micro → Macro**: - Your $\tau_{\text{user}}$ (e.g., career shifts) aggregates into societal $\rho_{\text{info}} \cdot \kappa$ (e.g., industry trends). 2. **Macro → Micro**: - Societal patterns (e.g., climate policies) reshape your $\tau_{\text{user}}$, closing the loop. --- ## **Why These Variables Matter** | **Variable** | **Purpose** | **Human Impact** | |--------------|-------------|------------------| | $X$ | Filters what matters | Ensures legacies exclude noise | | $\mathbf{I}$ | Captures your life’s data | Enables edge networks for preservation | | $\kappa$ | Identifies meaningful shifts | Prioritizes growth over inertia | | $\tau$ | Tracks decision histories | Reveals causal patterns (e.g., “My anxiety caused this career delay”) | | $\epsilon$ | Balances privacy and utility | Protects sovereignty while enabling societal clumping | | $\rho$ | Measures habit consistency | Drives ethical or creative momentum | | $M$ | Aligns actions with values | Ensures AI and choices reflect your ethics | --- ## **Example: The Climate Activist’s Journey** 1. **$X_{\text{user}} = 1$**: Their career pivot to sustainability is legacy-defining. 2. **$\mathbf{I}_{\text{user}}$**: Includes protest notes, policy drafts, and mood data. 3. **$\kappa_{\text{user}} = 1.5$**: Their shift from activism to policy work is significant. 4. **$\tau_{\text{user}}$**: Tracks their decade-long journey from student to advocate. 5. **$\epsilon_{\text{user}} = 0.6$**: Shares anonymized trends while encrypting raw notes. 6. **$\rho_{\text{user}} = 0.8$**: Consistently prioritizes ethical choices. 7. **$M_{\text{user}} = 0.9$**: Their actions mimic sustainability goals. **Result**: - **Legacy**: Their $\tau_{\text{user}}$ becomes a global edge network. - **Feedback Loop**: Their work aggregates into societal $\rho_{\text{info}} \cdot \kappa$, reshaping policies that then inspire new $\tau_{\text{user}}$. --- ## **Key Takeaways** - **User-Centric Design**: Variables like $\epsilon$ and $X$ put control in your hands. - **Legacy as a Sequence**: $\tau_{\text{user}}$ turns scattered data into a narrative. - **Ethics and Growth**: $M$, $\rho$, and $\kappa$ quantify alignment with values. These variables collectively enable UCID’s framework to model how **your choices ripple into societal patterns** and vice versa—without overreaching into physics. The next step is to formalize their mathematical relationships, starting with the **Human Potential Equation**: \[ \text{Human Potential} = \frac{M_{\text{user}} \cdot \lambda_{\text{user}} \cdot \rho_{\text{user}}}{\epsilon_{\text{user}}}. \] This equation guides developers to build systems that empower individuals to **live their best lives and leave legacies worth preserving**.