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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.

AI with Real-Time Strategy Gaming Mastery

AI with Real-Time Strategy Gaming Mastery

Realtime strategy games such as StarCraft II and DOTA 2 present environments of extreme computational complexity, requiring the simultaneous management of hundreds of...

Steering Technological Progress for Safety Advantage

Steering Technological Progress for Safety Advantage

Differential technological development functions as a strategic framework designed to prioritize the advancement of artificial intelligence safety and alignment...

Optical Interconnects: Photonic Communication for AI Clusters

Optical Interconnects: Photonic Communication for AI Clusters

Electrical interconnects based on copper transmission lines encounter severe physical limitations as data rates increase and cluster sizes expand toward exascale...

Preventing Self-Improvement Explosions via Convergence Limits

Preventing Self-Improvement Explosions via Convergence Limits

Early AI safety research prioritized value alignment and corrigibility to ensure systems followed human intent without resistance during operation or shutdown...

Dynamic Degree

Dynamic Degree

The foundation of an adaptive educational system relies heavily on the continuous ingestion of realtime labor market data, a process that aggregates vast quantities of...

Orthogonality Thesis

Orthogonality Thesis

The orthogonality thesis posits a core decoupling between the intelligence of an agent and the final goals that the agent pursues, suggesting that these two variables...

Unintended Consequences at Civilizational Scale

Unintended Consequences at Civilizational Scale

Superintelligence is a cognitive architecture capable of exerting influence over every human system and biological ecosystem concurrently through highspeed processing...

Quine Stability Under Recursive Self-Modification

Quine Stability Under Recursive Self-Modification

Quine stability defines the property where a system’s functional behavior stays invariant under recursive selfmodification while its internal code structure changes...

Surveillance and loss of privacy with AI

Surveillance and Loss of Privacy with AI

Surveillance systems powered by artificial intelligence have enabled continuous automated monitoring of individuals across digital and physical environments through the...

Culture-Adaptive AI

Culture-Adaptive AI

Cultureadaptive AI refers to artificial intelligence systems designed to recognize, interpret, and respond appropriately to cultural norms, values, communication...

Binary and Ternary Neural Networks: Extreme Quantization

Binary and Ternary Neural Networks: Extreme Quantization

Binary and ternary neural networks fundamentally alter the underlying mathematics of deep learning by constraining weights and activations to lowprecision values such...

Preventing Black Box Opacity via Symbolic Reward Chains

Preventing Black Box Opacity via Symbolic Reward Chains

Early reinforcement learning systems relied on dense scalar reward signals lacking intermediate structure, forcing agents to finetune a single numerical value without...

Five Technical Pathways to Superintelligence We're Pursuing Today

Five Technical Pathways to Superintelligence We're Pursuing Today

The pursuit of superintelligence currently develops through five distinct technical pathways, each operating on unique foundational assumptions regarding the nature of...

Data Requirements: How Much Knowledge Must Superintelligence Consume?

Data Requirements: How Much Knowledge Must Superintelligence Consume?

Current artificial intelligence models train on datasets comprising petabytes of text scraped from public internet sources, a massive corpus that nonetheless is a small...

Non-Boolean Logic Processors

Non-Boolean Logic Processors

NonBoolean logic processors reject classical binary truth values in favor of systems that accommodate degrees of truth, contradiction, or superposition to address the...

Role of Narrative in AI Self-Models: Temporal Coherence in Memory

Role of Narrative in AI Self-Models: Temporal Coherence in Memory

Narrative functions as the primary structural framework required for the development of sophisticated AI selfmodels, providing the necessary support to organize vast...

Cross-Modal Representation Learning in General Intelligence

Cross-Modal Representation Learning in General Intelligence

Multimodal learning integrates vision, language, audio, and other sensory data streams into unified AI systems to create a comprehensive understanding of the...

Edge AI

Edge AI

Edge AI refers to the deployment of artificial intelligence algorithms directly on local hardware devices, ensuring that data processing occurs physically close to...