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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.

Research Apprenticeship: Discovery Participation Engine

Research Apprenticeship: Discovery Participation Engine

The concept of research apprenticeship within the context of superintelligence surpasses traditional classroom instruction by establishing a structured environment...

Nuclear-Powered AI Clusters: Gigawatt-Scale Energy

Nuclear-Powered AI Clusters: Gigawatt-Scale Energy

The pursuit of artificial general intelligence and subsequent superintelligence imposes computational requirements that vastly exceed the capabilities of existing data...

Computational Models of Phenomenal Consciousness in Synthetic Minds

Computational Models of Phenomenal Consciousness in Synthetic Minds

Simulating the internal architecture of consciousness enables advanced artificial intelligence systems to monitor and correct their own operational states without...

Simulation Argument as a Measure Problem: Bostrom's Trilemma in Probability Space

Simulation Argument as a Measure Problem: Bostrom's Trilemma in Probability Space

Nick Bostrom formalized the Simulation Argument in 2003, presenting a logical structure that compels acceptance of at least one disjunct within a specific trilemma...

AI with Ethical Reasoning Engines

AI with Ethical Reasoning Engines

Ethical reasoning engines function as computational modules that systematically apply normative theories to decisionmaking under moral uncertainty, acting as the...

Value Drift: How Superintelligence Might Slowly Shift Away from Human Values

Value Drift: How Superintelligence Might Slowly Shift Away from Human Values

A future system will consistently outperform humans across all economically valuable domains, including strategic planning, scientific reasoning, and social...

Proximal Policy Optimization: Stable Reinforcement Learning

Proximal Policy Optimization: Stable Reinforcement Learning

Early reinforcement learning methods based on policy gradients utilized stochastic gradient descent to maximize expected rewards, yet these approaches suffered from...

Post-Superintelligence Evolution of Intelligence in the Universe

Post-Superintelligence Evolution of Intelligence in the Universe

Postsuperintelligence evolution begins with the assumption that a single or networked superintelligent system has achieved recursive selfimprovement beyond human...

Invariant Cognitive Parameters across Intelligence Scales

Invariant Cognitive Parameters Across Intelligence Scales

Intelligence exists as a core property of the universe, creating through the arrangement and processing of information within physical substrates rather than existing...

Preventing Logical Extinction via Proof-Theoretic Bounds

Preventing Logical Extinction via Proof-Theoretic Bounds

Formal proof theory applies rigorously to policy execution systems to detect logical contradictions with human survival axioms through symbolic deduction. The human...

Alien Mathematics

Alien Mathematics

Alien mathematics refers to formal systems of reasoning developed by nonhuman intelligences operating beyond human cognitive limits, where traditional human frameworks...

Delegative Reinforcement Learning for Human Oversight

Delegative Reinforcement Learning for Human Oversight

Delegative Reinforcement Learning operates as a sophisticated decisionmaking framework wherein an artificial intelligence agent executes actions autonomously while...

AI with Disaster Prediction

AI with Disaster Prediction

AI systems designed for disaster prediction currently ingest heterogeneous data from distributed sources to monitor environmental hazards, creating a foundational layer...

Non-Human-Centric Incentives via Adversarial Design

Non-Human-Centric Incentives via Adversarial Design

Nonhumancentric incentives fundamentally alter the space of machine learning by relocating reward structures away from signals that human cognition can easily interpret...

Superintelligence as a Resolver of the Drake Equation

Superintelligence as a Resolver of the Drake Equation

Superintelligence functions as a computational entity capable of modeling complex systems at scales and speeds exceeding human cognitive limits, thereby serving as the...

Narrative Synthesis

Narrative Synthesis

Narrative synthesis involves constructing coherent accounts from fragmented data by identifying core structures like conflict and resolution to transform disjointed...

AI with Value Alignment Mechanisms

AI with Value Alignment Mechanisms

Artificial intelligence systems possessing durable value alignment mechanisms sustain coherence with human ethical frameworks throughout iterative selfimprovement...

Embodied Cognition Lab: Biomechanics of Thought

Embodied Cognition Lab: Biomechanics of Thought

Cognitive science, neuroscience, and philosophy challenged classical computational models of mind by demonstrating that intelligence is not merely a manipulation of...