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Computational intelligence, superintelligence, alignment, and agentic systems.

Explore long-form technical articles across machine learning, autonomous agents, AI safety, cognitive architecture, quantum systems, distributed infrastructure, education, and planetary-scale technology.

Logical Force Majeure in Competitive Adaptation

Logical Force Majeure in Competitive Adaptation

Logical Force Majeure functions as a precommitted overwhelming response mechanism designed to deter rulebreaking in multiagent competitive environments where...

Cognitive Fitness: Mental Strength Conditioning

Cognitive Fitness: Mental Strength Conditioning

Cognitive fitness treats mental capacity as a trainable physiological system analogous to muscular strength, requiring structured, progressive overload to induce...

Personal Historian

Personal Historian

A personal historian system functions as a comprehensive softwarehardware setup designed to autonomously construct a longitudinal, multimodal record of an individual’s...

AI Safety via Concept Erasure Networks

AI Safety via Concept Erasure Networks

Knowledge representation in deep learning systems relies on highdimensional vector spaces where semantic meaning derives from the relative position and magnitude of...

AI Safety Standards for Recursively Self-Improving Systems

AI Safety Standards for Recursively Self-Improving Systems

Recursive selfimprovement constitutes a core computational process wherein an artificial intelligence system autonomously alters its own source code or underlying...

Conceptual Abstraction: Building Knowledge Like the Human Mind

Conceptual Abstraction: Building Knowledge Like the Human Mind

Conceptual abstraction functions as a computational process mirroring human inductive reasoning to form generalized representations from specific instances, allowing...

Role of Causal Interventions in AI Alignment: Do-Calculus for Goal Verification

Role of Causal Interventions in AI Alignment: Do-Calculus for Goal Verification

Current machine learning systems have predominantly relied on associative models, which lack the capacity to reason about interventions or distinguish causation from...

Adversarial Self-Play for Reasoning: Generating and Solving Hard Problems

Adversarial Self-Play for Reasoning: Generating and Solving Hard Problems

Adversarial selfplay for reasoning constitutes a method wherein an autonomous agent is tasked with generating highly challenging problems while simultaneously...

Energy Abundance Era: Fusion and Beyond Through Superintelligent Design

Energy Abundance Era: Fusion and Beyond Through Superintelligent Design

Global energy demand is projected to double by 2050 as industrialization accelerates and populations expand across developing nations, placing unprecedented strain on...

Self-Play and Curriculum Generation: AI Creating Its Own Training

Self-Play and Curriculum Generation: AI Creating Its Own Training

Selfplay functions as a robust training framework where an artificial intelligence system generates its own data by competing or cooperating with instances of itself,...

Superintelligence and the Resolution of Human Conflict

Superintelligence and the Resolution of Human Conflict

Pre20th century diplomacy relied on balanceofpower politics, often leading to cyclical wars due to miscalculation or honorbased escalation where leaders perceived...

AI with Cultural Intelligence

AI with Cultural Intelligence

Artificial intelligence systems possessing cultural intelligence interpret and adapt to diverse cultural norms, values, and communication styles without assuming a...

Bekenstein Bound of Cognition: Maximum Information in a Finite Region of Space

Bekenstein Bound of Cognition: Maximum Information in a Finite Region of Space

The Bekenstein bound establishes a core upper limit on the amount of information that can be contained within a finite region of space with a given energy, deriving...

Policy Simulator

Policy Simulator

The Policy Simulator functions as a sophisticated computational framework designed to model potential outcomes of proposed policy interventions across social, economic,...

Serendipity Engineering

Serendipity Engineering

Serendipity engineering involves designing artificial intelligence systems to intentionally encounter and recognize unexpected, valuable discoveries during exploration...

Safe scaling laws and predictive models

Safe Scaling Laws and Predictive Models

Theoretical frameworks establish a foundational link between increases in computational power, dataset volume, and model size, positing that these inputs drive...

Moral Reasoning: Applying Ethics Like Humans Do

Moral Reasoning: Applying Ethics Like Humans Do

Moral reasoning in artificial systems is structured to replicate human ethical deliberation by employing isomorphic frameworks that map human value conflicts into...

Idea Genome: Mapping Thought Structures

Idea Genome: Mapping Thought Structures

Early work in concept mapping and semantic networks began in the 1960s within cognitive science and artificial intelligence, establishing a framework where human...