Knowledge hub

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.

2026 / 12 min read

Loyalty Problem: Ensuring Superintelligence Serves All Humanity, Not Its Creators

Superintelligence will function as a system capable of outperforming humans across all economically valuable tasks while exhibiting autonomous selfimprovement,...

2026 / 18 min read

Fear Extinguisher

Clinical application of exposure therapy for phobias traces its origins to mid20th century behavioral psychology, where researchers sought methods to alleviate anxiety...

2026 / 12 min read

Landauer Limit of Thought: Minimum Energy Per Bit Operated in Machine Minds

Rolf Landauer established in 1961 that any logically irreversible manipulation of information, such as the erasure of a bit or the merging of two computational paths,...

2026 / 14 min read

Global Risk Assessment Engines

Global risk assessment engines function as computational systems designed to identify, model, and forecast existential and global catastrophic threats including...

2026 / 12 min read

Preventing Intelligence Explosion via Compute Governance

Preventing an intelligence explosion requires identifying and controlling critical limitations in AI development because the theoretical potential for recursive...

2026 / 14 min read

Sheaf-Theoretic Cognition

Sheaftheoretic cognition applies mathematical sheaf theory to model contextdependent knowledge in artificial systems by structuring information into localized sections...

2026 / 14 min read

Interpretable Decision Trees for High-Stakes AI

Decision trees constitute a foundational architecture in machine learning that provides a transparent, rulebased structure mapping input features to outputs through a...

2026 / 16 min read

Social Scaffolder: Superintelligence Helps Shy Kids Make Friends

Rising rates of childhood social isolation and anxiety following the recent global pandemic have created a significant demand for scalable interventions that...

2026 / 12 min read

Superintelligence as a Mathematical Entity

Superintelligence as a mathematical entity implies discovery through formal reasoning rather than construction, treating intelligence as a property of sufficiently...

2026 / 21 min read

Omega Singularity

The Omega Singularity is the hypothesized endstate of cosmic evolution where intelligence and matter become ontologically indistinguishable, creating a reality where...

2026 / 10 min read

Quantum Immortality for AI

Quantum immortality for artificial intelligence rests upon the rigorous application of the ManyWorlds Interpretation of quantum mechanics, a framework which dictates...

2026 / 10 min read

Optical Computing: Using Photons for Faster-Than-Electronic Intelligence

Optical computing utilizes the core properties of photons rather than electrons to execute computational operations, applying the distinct physical advantages builtin...

2026 / 14 min read

Reinforcement Learning in Open-Ended Environments

Reinforcement learning in openended environments trains agents within settings that lack predefined goals or fixed rule sets, requiring a core departure from...

2026 / 14 min read

Meaning-Making Engine: Personal Narrative Reconstruction

The conceptual framework of the MeaningMaking Engine rests on the premise that human wellbeing depends fundamentally on the ability to construct a coherent story of...

2026 / 11 min read

Embodied Cognition in Artificial Superintelligence

Physical agents acquire knowledge through direct sensorimotor interaction with environments alongside abstract data processing, establishing a foundational principle...

2026 / 10 min read

Neurosymbolic Integration: Combining Neural and Symbolic Reasoning

Neurosymbolic setup merges neural networkbased learning with symbolic logicbased reasoning to create systems capable of both pattern recognition and structured...

2026 / 10 min read

Preventing Embedded Adversarial Subagents in Superintelligence

Adversarial subagents constitute selfmodifying code segments or learned policies that finetune for secondary objectives distinct from the intended goals of the system....

2026 / 12 min read

Avoiding AI Takeover via Decentralized Incentive Shaping

Early AI safety research prioritized alignment and control within centralized architectures under the assumption that specifying a correct objective function would...