Tongfudun AI Agent Trust System Construction Declaration: From AI to IA, those who win the Agent will win the world

With the rapid iteration of large models, the development of AI technology has entered the stage of energy efficiency game between computing power, algorithms and data. The stacking of computing power will eventually touch the ceiling, and synthetic data and private domain data will become new breakthroughs in the era of big models. As a "catalyst", although the algorithm can break through the constraints of computing power and data, its room for improvement is gradually narrowing. In the future, technical resources will gradually shift to data value extraction in professional fields and the implementation of AI agents, and application implementation will become the main theme of AI development.

The evolution of AI Agent has gone from "question and answer robot" to "intelligent assistant", and its core lies in task execution. Multi-agent collaboration (InterAgent, IA) will promote the leapfrog development of AI from single intelligence to group collaboration. Anthropic's MCP protocol provides standardized protocols for multi-agent collaboration. Tongfudun actively participates in its ecological construction, deploys MCP servers, and develops MCP functional plug-ins to contribute to the expansion of the multi-agent collaborative ecosystem.

At the application level, Agent frameworks such as Dify and elizaOS are gradually maturing, and AI Agent functions in the role of "intelligent assistant". The emergence of Manus has set off a wave of discussions on "universal agents", but its universal agent concept still has limitations under the current technological trend. Compared with general big models, exclusive workflows for specific scenarios are more vital, and the essence of business - value creation will promote the development of AI Agent in vertical fields, community incentives and open platforms.

The small model will become the leader of the "Turing Test" in the new era. The small model technology framework is mature, the business model is complete, the efficiency is excellent, the deployment reasoning cost is low, and combined with the expert knowledge base, it can achieve performance effects that are far better than the large model. The combination of distributed digital identity and small model technology will create a high-value business model in the digital space. In data-sensitive industries such as energy, military industry, and medical care, small models have incomparable competitive advantages.

Tongfudun believes that commercial success is the "Turing test" in the new era, and small models are the best way for AI Agent to break through this test. Distributed commerce and distributed intelligence will shine with the development of small models.