Hexa-Codex: AI Knowledge Base — A Systematic Framework for Alignment, Safety, and Multimodality

Hexa-Codex is a systematic AI knowledge base project aimed at addressing the problem that traditional AI development focuses on a single link and lacks lifecycle thinking. The project covers six core areas: alignment, safety, welfare, training, reasoning, and multimodality, and uses 17 verbs (divided into 4 groups) to build a complete lifecycle management framework for AI systems, providing structured thinking support for AI development, deployment, and governance.

With the rapid development of large language models and multimodal AI systems, traditional AI development is often limited to a single link (e.g., model training or inference optimization) and lacks holistic thinking about the entire lifecycle of AI systems. The Hexa-Codex project emerged to build a comprehensive AI knowledge base and fill this gap.

Hexa-Codex summarizes the key dimensions of AI systems into six core areas:

1. Alignment: Ensure AI behavior is consistent with human intentions, values, and multi-objective demands;
2. Safety: Covers output safety (prevent harmful content), behavioral safety (stable and predictable), and system safety (defend against adversarial attacks);
3. Welfare: Focuses on improving users' quality of life, fair distribution of social benefits, and long-term social structure impacts;
4. Training: Includes data engineering, model architecture, optimization strategies, and distributed training;
5. Reasoning: Involves inference optimization, service deployment, cost control, and scalability;
6. Multimodality: Covers modality fusion, cross-modal understanding, and unified architecture design.

The project uses 17 verbs divided into 4 groups to describe the AI system lifecycle:

• Cognition and Understanding: Perceive (receive multimodal input), Understand (build internal representation), Reason (logical inference);
• Generation and Expression: Generate (create content), Express (present results), Explain (basis for decision-making);
• Learning and Adaptation: Learn (extract patterns), Adapt (adjust based on feedback), Memorize (utilize experience);
• Collaboration and Governance: Collaborate (human-AI/AI cooperation), Align (adjust values), Supervise (human intervention), Report (transparent disclosure).

The practical value of Hexa-Codex is reflected in:

• Researchers: Cross-domain concept map to identify connections between research directions;
• Engineers: Systematic checklist to evaluate project completeness;
• Decision-makers: Comprehensive evaluation framework that balances technical indicators and social impacts.

Compared with traditional AI development processes, Hexa-Codex has the following innovations:

1. Proactive Alignment: Transform alignment and safety from "after-the-fact patches" to "design principles";
2. Full Multimodal Coverage: Handle multimodality uniformly instead of single modality;
3. Verb-Oriented: Describe the dynamic evolution of the system using actions;
4. Value Embedding: Incorporate social dimensions such as welfare.

Hexa-Codex builds an AI conceptual system with inherent logic, where the six core areas cover the complete chain and the 17 verbs provide precise operational semantics. It is recommended that developers, researchers, and decision-makers include dimensions such as alignment, safety, and welfare in their core considerations to build AI technologies that are truly beneficial to humans.