AI Researchers Have Never Entered the Black Box.we Did (github.com)

The recent release of LIHUO-AI-SYS v1.0 introduces the LIHUO Runtime Architecture, marking a significant advancement in the field of generative AI. Unlike typical prompt frameworks, LIHUO operates as a Runtime Constitutional System, establishing governance structures for AI operations. Key elements include Runtime Constitutional Governance, the DAIL Runtime Structure, and the Generation Layer Theory, which emphasizes governing the generative processes rather than merely manipulating language. This shift positions the Generation Layer as the true "black box" of AI, suggesting that understanding and controlling this layer is crucial for responsible AI development. This release is significant for the AI/ML community as it sets a new research direction focused on governance and oversight rather than just performance and output. The establishment of various systems, including the LIHUORADAR Observation System and structural audit systems, underscores a shift towards accountability and integrity in AI architectures. LIHUO encourages researchers to ask the right questions about AI systems' core functions, paving the way for more robust frameworks to ensure ethical and effective AI deployment.