Research Library
Research articles, technical papers, and philosophical foundations from Taijitu AI.
Featured Foundational Papers
Common Sense Is All You Need
Argues that robust AI requires a foundation of common sense reasoning.
The Common Sense Litmus Test
Practical tests to evaluate genuine common sense in AI systems.
Towards Common Sense AI
Surveys progress and challenges in building human-like reasoning.
Towards Ethical AI
Embedding common sense to address safety and societal challenges.
Knowledge Topology
Common Sense AI
Applications
Real-world use cases, safety, ethics, and societal impact of common sense AI.
Benchmarks and Evaluation
Formal tests and evaluation methods for diagnosing and measuring common sense in AI.
Foundational Papers
Key papers establishing the theoretical and practical basis for common sense in AI.
explainability
federated
hyperdimensional
metamodel
neurosymbolic
Technical Glossary
Attention That Matters™
A fiduciary framework anchored in the individual, where technology filters noise to amplify focus based on user values, goals, and unique temporal context.
APP™
Autodidactic Persistent Persona. A class of digital entity defined by self-directed learning, stable identity, and mission-locked tenets.
TAP™
Taijitu AI Autodidactic Persona. High-resolution digital entities capable of autonomous cross-domain agency.
Session Kernel
The core orchestration engine of AOCA™, responsible for multi-step reasoning and tool trajectory management.
Symnoesis™
A functional state where human intent and machine execution operate as a single, non-rivalrous system of sense-making.
Mission Integrity™
A stateful execution model ensuring long-term reliability and task completion across system reboots.
Saga Memory™
A proprietary architecture for long-term, context-aware persistence across multiple autonomous sessions.