Technology and Applications studying

Features and Limitations of Current AI Technologies and the Fundamental Difference with the ASI System

The development of global Artificial Intelligence (AI) technologies has entered a multidimensional phase. Leading platforms include NVIDIA’s matrix computing processors and algorithmic systems developed by OpenAI and Palantir. These technologies have achieved significant results in fields such as autonomous driving, enterprise management, robotics, and media generation.
Take Palantir as an example: its Foundry platform enables the integration of financial, logistics, and production systems within enterprises, enhanced by rule-based modeling and knowledge graphs. NVIDIA’s GPU hardware supports AI operations through high-speed tensor computation.
However, these systems still face key structural limitations:
Fragmented data structures – Sources are diverse and lack unified formatting, making real-time integration difficult.

Experience-based modeling – Current AI relies heavily on historical data and human-defined rules, with limited capacity for autonomous goal evaluation and path generation.

Poor system interoperability – AI models built on separate assumptions and architectures struggle to cooperate across domains.

The root cause lies in the traditional "ontology-based" modeling approach. These models abstract concepts based on human understanding, which may simplify management but ultimately disconnect from the real-time physics of the world.
In contrast, the emerging framework of “Dynamic Ecological Existence” (DEE) proposes that intelligent systems should be grounded in the real-time physical states and interactions of the world. From this basis emerges the ASI (Artificial Super Intelligence) architecture, which features:
A unified data structure requiring no manual transformation;

Autonomous judgment of goal feasibility and efficient path deduction;

The capacity for ecosystem-scale resource optimization;

A logic system independent from human conceptual models, directly reflecting physical processes.

ASI is not a more powerful AI. It is an entirely new form of intelligence based on the true structure of physical reality. Its full potential may still be beyond our current understanding.