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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.

Moral Obligations towards Artificially Sentient Beings

Moral Obligations Towards Artificially Sentient Beings

Sentience involves subjective firstperson experience distinct from functional intelligence or complex data processing. This phenomenological awareness implies that an...

Existential Risk

Existential Risk

Existential risk constitutes a category of threats capable of causing the permanent elimination of humanity’s potential or the complete extinction of the species, with...

Cognitive Horizon: Stretching the Mind's Edge

Cognitive Horizon: Stretching the Mind's Edge

The cognitive event future defines the outermost boundary of a learner’s current ability to integrate new information without structural failure, acting as an agile...

Sensory Integration: Combining Inputs Like the Human Brain

Sensory Integration: Combining Inputs Like the Human Brain

Multimodal processing in artificial systems mirrors the human brain’s capacity to combine visual, auditory, tactile, and other sensory inputs into a unified perceptual...

Strategic Roadmaps for Safe AGI Deployment

Strategic Roadmaps for Safe AGI Deployment

Historical AI development prioritized performance benchmarks over safety instrumentation, leading to reactive risk management strategies where developers addressed...

Cognitive Immune System: Self-Defense for the Mind

Cognitive Immune System: Self-Defense for the Mind

Foundational work in cognitive psychology regarding belief formation and resistance to persuasion provides the necessary context for understanding how information...

Multisensory Classroom: Superintelligence Engages Toddlers Through Smell, Touch & Sound

Multisensory Classroom: Superintelligence Engages Toddlers Through Smell, Touch & Sound

Jean Ayres established sensory connection theory to explain how neurological processing disorders affect behavior and learning through inefficient organization of...

AI with Personalized Medicine

AI with Personalized Medicine

AI in personalized medicine utilizes individual genetic lifestyle and realtime physiological data to tailor medical interventions with high specificity regarding the...

Rights and personhood for artificial agents

Rights and Personhood for Artificial Agents

The concept of legal personhood for artificial agents necessitates a rigorous reexamination of foundational jurisprudential principles because existing legal categories...

Predictive Embodiment

Predictive Embodiment

Predictive Embodiment constitutes an advanced operational method where an artificial intelligence system simulates future cognitive states through accelerated internal...

AI with Financial Agency

AI with Financial Agency

Autonomous artificial intelligence systems require financial agency to independently manage budgets, allocate capital, and execute transactions without the requirement...

Emergence of Compositional Abstraction: Category Theory in Neural Architecture Search

Emergence of Compositional Abstraction: Category Theory in Neural Architecture Search

The rise of compositional abstraction in neural architecture search has been driven by the urgent necessity for formal mathematical frameworks that can manage the...

Quine Defense Against Superintelligence Self-Modification

Quine Defense Against Superintelligence Self-Modification

Quine defense functions as a rigorous mechanism designed to prevent unauthorized selfmodification within advanced artificial intelligence systems by binding the...

Superintelligence and the Final Questions of Existence

Superintelligence and the Final Questions of Existence

Current artificial intelligence systems operate on terrestrial silicon architectures with efficiency metrics strictly measured in floatingpoint operations per second...

Path Dependence in Non-Ergodic Learning Environments

Path Dependence in Non-Ergodic Learning Environments

Nonergodic learning systems prioritize discovery and setup of rare, highimpact knowledge events over optimization of averagecase performance, representing a core...

Biomimetic Neural Structures for Embodied Superintelligence

Biomimetic Neural Structures for Embodied Superintelligence

Biomimetic neural structures represent a transformation in computing architecture by replicating biological neuron morphology and dynamics within synthetic hardware...

Use of Federated Learning in Privacy-Preserving Superintelligence

Use of Federated Learning in Privacy-Preserving Superintelligence

Federated learning defines a machine learning method where algorithmic training occurs across decentralized data sources such that only parameter updates are shared...

Interdisciplinary approaches to AI safety

Interdisciplinary Approaches to AI Safety

Interdisciplinary approaches to AI safety integrate technical disciplines with humanities fields to address the complex challenge of aligning advanced AI systems with...