一言諾科技有限公司
Redefining artificial intelligence through dynamic semantic modeling and advanced theoretical foundations
UDAE will establish the world's most advanced theoretical framework for true Artificial General Intelligence (AGI), far surpassing current "World Model" approaches.
Dual-Core Dynamic System: Integrating Local Fitting Core (LFC) and Global Reasoning Core (GRC) to achieve dynamic balance between fitting and reasoning, enabling AI to intelligently navigate between known and unknown domains.
Four-Module Collaborative Governance: Global Semantic Monitoring, Semantic Rebalancing, Hierarchical Memory Control, and Semantic Immune System ensure long-term stability and safety during operation.
Breaking World Model Limitations: World models cannot truly connect 2D AI existence to the 3D real world, because world models are essentially virtual worlds, not reality. All causality is generated based on known data, but humans are not gods—AI understanding solely through this approach inevitably leads to cognitive errors.
UDAE provides a dynamic cognitive framework truly aligned with the real world, not fictional world modeling.
The Unified Dynamic Approximation Equation (UDAE) is our groundbreaking theoretical framework that models AI behavior as a dynamic evolutionary process in high-dimensional semantic space, providing unified mathematical explanations and solutions for AI hallucinations, semantic convergence, and other long-term challenges.
Read the WhitepaperEVEMISSLAB (一言諾科技有限公司) is a cutting-edge AI research laboratory dedicated to exploring the fundamental theories of Artificial General Intelligence (AGI). We believe that true intelligence emerges from deep understanding of dynamic worlds, not static data fitting.
Based on our proposed Unified Dynamic Approximation Equation (UDAE) theoretical framework, we are building safer, more controllable, and more creative mathematical foundations for next-generation AI systems.