Safe AI via Adversarial Neural Architecture Search
Neural Architecture Search functions as an automated process of discovering optimal neural network topologies given a task and constraints through the exploration of a...
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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 Cybersecurity Defense
Global economic projections indicate that damages resulting from cybercrime are expected to reach a valuation of $10 trillion by the year 2025, driven by the relentless...
Pruning: Removing Unnecessary Neural Connections
Pruning reduces neural network size by eliminating lowmagnitude or redundant connections, while the process aims to maintain model accuracy alongside achieving high...
Cognitive Firewall: Mental Cybersecurity
The concept of a cognitive firewall is a necessary evolution in mental cybersecurity, functioning as a realtime defense mechanism designed to identify, isolate, and...
Navigation in Complex Environments
Navigation in complex environments requires a robot to determine its position and construct a map simultaneously through Simultaneous Localization and Mapping (SLAM)....
Hierarchical Reinforcement Learning
Standard reinforcement learning algorithms operate by maximizing a cumulative reward signal through trial and error interactions within an environment. Agents must...
Cross-Lingual Knowledge Fusion
Crosslingual knowledge fusion integrates insights from all human languages into a single coherent representation without relying on translation. This approach assumes...
Neural Baseline: Superintelligence Maps Every Child’s Cognitive Starting Point
Functional nearinfrared spectroscopy is a significant advancement in noninvasive brain imaging technologies, allowing for continuous, realtime monitoring of cortical...
Embedded Agency: Reasoning About Self in World
Cybernetics provides the formal language required to describe selfregulating systems that maintain internal coherence despite environmental fluctuations. Norbert Wiener...
AI with Renewable Energy Forecasting
Renewable energy forecasting provides quantitative estimates of electricity generation from solar or wind sources over specific time futures, serving as a foundational...
Debate and Amplification Techniques for Alignment
Training models to generate and evaluate opposing arguments on a given proposition surfaces subtle truths and reduces overconfidence in singlemodel outputs by forcing...
Play-Based AI Tutor: Superintelligence Turns Every Toy Into a Learning Engine
The historical arc of educational artifacts reveals a consistent reliance on physical objects to facilitate cognitive growth, beginning with simple wooden blocks and...
Space Exploration Accelerated: Superintelligence Designs Interstellar Travel
Chemical propulsion systems have historically provided the specific impulses required to escape Earth's gravity well, yet these engines are fundamentally constrained by...
Scholarship Matcher
The relentless escalation of tuition fees combined with the contraction of public educational funding has placed an unprecedented financial burden on students,...
Non-Turing Hypercomputation
The concept of nonTuring hypercomputation defines a class of computational models that surpass the theoretical limits established by the standard Turing machine model,...
Self-Play with Bounded Exploration Constraints
Selfplay enables artificial intelligence agents to iteratively improve their performance by competing or cooperating with copies of themselves in a closedloop system...
Safe Paths to AI Development with Multiple Actors
The primary challenge in enabling multiple superintelligent actors to develop and operate concurrently lies in structuring their interactions to preclude catastrophic...
Uncertainty Quantification Over Everything: Knowing Confidence Bounds
Uncertainty quantification serves as a foundational requirement for reliable decisionmaking across domains where outcomes have measurable consequences, necessitating...