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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.

Safe AI via Causal Invariant Learning

Safe AI via Causal Invariant Learning

AI models trained on data from one setting often fail in different conditions due to reliance on spurious statistical correlations that do not hold true outside the...

Self-Supervised Learning: Learning from Unlabeled Data

Self-Supervised Learning: Learning from Unlabeled Data

Selfsupervised learning functions as a framework where algorithms derive supervisory signals directly from the raw input data itself, thereby eliminating the necessity...

Use of Category Theory in AI Self-Modeling: Functors for Representing Mind

Use of Category Theory in AI Self-Modeling: Functors for Representing Mind

Category theory provides a formal mathematical framework for modeling relationships and transformations between abstract structures, offering a level of abstraction...

Geopolitical AI Races

Geopolitical AI Races

Artificial intelligence stands as a primary strategic asset for nations, holding a status comparable to nuclear weaponry due to its significant implications for...

Adaptive Genius: Cognitive Flexibility Training

Adaptive Genius: Cognitive Flexibility Training

Cognitive flexibility research originates in developmental psychology and neuroscience, with foundational work on executive function and mental set shifting dating to...

Edge AI Accelerators: Efficient Inference on Devices

Edge AI Accelerators: Efficient Inference on Devices

Edge AI accelerators enable ondevice inference by processing neural network computations locally, independent of cloud connectivity, ensuring that devices can execute...

Topological Constraints on Superintelligent Planning Spaces

Topological Constraints on Superintelligent Planning Spaces

Unbounded futurestate exploration in superintelligent agents presents risks involving unintended catastrophic arcs due to the vast combinatorial explosion of potential...

HolOptima: Integrated Wellness Intelligence

HolOptima: Integrated Wellness Intelligence

Early wellness systems prioritized isolated metrics like step count and calorie intake, while missing connection across domains, because these technologies treated the...

Autonomous Ontology Rewriting

Autonomous Ontology Rewriting

Ontology constitutes the key bedrock of any artificial intelligence system, defining the specific set of primitive concepts and structural relations utilized to model...

AI-driven Cosmic Engineering

AI-driven Cosmic Engineering

AIdriven cosmic engineering involves the deliberate reorganization of celestial bodies such as stars, black holes, and galaxies to construct largescale computational...

Latency Limit: How Communication Speed Constrains Distributed Intelligence

Latency Limit: How Communication Speed Constrains Distributed Intelligence

The speed of light in a vacuum serves as an absolute upper bound for any form of information transfer within our universe, establishing a core constant that dictates...

Global Classroom Exchange: Superintelligence Matches Students for Cross-Cultural Projects

Global Classroom Exchange: Superintelligence Matches Students for Cross-Cultural Projects

The concept of a global classroom exchange is defined fundamentally as a structured, technologymediated collaborative learning environment that bridges students across...

AI with Urban Planning Intelligence

AI with Urban Planning Intelligence

Urban planning historically relied on static models and manual data collection methods that failed to capture the agile nature of city growth, resulting in...

Sentient Mentor: Affective Tutoring via Biometric Insight

Sentient Mentor: Affective Tutoring via Biometric Insight

Early research in the 1990s established the field of affective computing, focusing primarily on emotion recognition through facial coding and voice analysis to...

Project-Based AI

Project-Based AI

The core premise of ProjectBased AI rests on the translation of abstract academic subjects into actionable frameworks that allow learners to interact directly with the...

Meta-Learning Architectures: Learning How to Learn as the Core of Superintelligence

Meta-Learning Architectures: Learning How to Learn as the Core of Superintelligence

Metalearning defines a class of systems designed to improve their own learning processes across a multitude of tasks and domains, distinguishing itself from traditional...

Goal Hierarchies with Dynamic Prioritization

Goal Hierarchies with Dynamic Prioritization

Goal hierarchies structure objectives into layered formats where highlevel aims decompose into subordinate subgoals to facilitate systematic execution and verification...

Decentralized Control: Is a "Collective of Superintelligences" Safer Than One?

Decentralized Control: Is a "Collective of Superintelligences" Safer Than One?

Superintelligence will function as an artificial agent capable of outperforming the best human minds in practically every economically valuable work and scientific...