Spreading the message of the new divide between AI agents and conversational AI models within the current transforming market environment, one can refer to several resources, and they are @AITECH and the constant presence of this company in the X activity of @DAO Labs #SocialMining #SolidusHub .
In contrast, at the areas where the autonomous execution of the AI agents are successful, managing structured processes, and responding to real-time input, the conversational AI models have been optimized towards human-like communication like generation of a dialog, and creative assistance. Those Social Miners who monitor these trends point to the fact that a combination of these two factors is critical to empower decentralized ecosystems and blockchain service layers.
AI agents combined with conversational models in the Web3 setting become useful to achieve the necessary balance between the operations effectiveness and the interest of users. As an example, an AI agent may be used with data-processor-heavy tasks, i.e., blockchain indexing or automation, whereas conversational AI could be utilized as a governance bot or a within-DAO-tool.
The contributors to Solidus Hub are engaged in the ongoing study of these dual-use cases and their analysis further provides patterns that are used in the development of the content strategy and direct application. The point of agreement is simple, none of the technologies should dominate the one another. Instead, when these applications are used simultaneously, they form more resilient flexible model of operation in agreement with decentralized principles.
In this context, the example of #AITECH research of Social Mining demonstrates that the subtle approach to the adoption of AI models becomes not only a trend but also the cornerstone of next-generation blockchain platforms.
