Introducing the Smart Booster for the WEB3 Era — AI Agent

AI Agent, as a recent hot topic in the field of AI, has attracted widespread attention. In a recent Space event, the Chinese community MOD of Woowow also discussed the trend of Qitmeer Network possibly evolving towards AI Agent in the future.

So, what exactly is an AI Agent? And what unique impact can it bring to blockchain networks?

What is an AI Agent?

In the 1950s, Alan Turing extended the concept of “intelligence” to artificial entities and proposed the famous Turing Test. These artificial intelligence entities are often referred to as “agents”.

The concept of “agent” originated from philosophy, describing an entity with desires, beliefs, intentions, and the ability to take action. A paper titled “Generative Agents: Interactive Human Behavior Simulation” from Stanford University delves into the memory, response, and planning of AI agents.

AI agents are considered a crucial direction for future development by OpenAI and are seen as the next era in the field of artificial intelligence.

OpenAI co-founder Andrej Karpathy recently stated in a public event, “Compared to model training methods, OpenAI is currently more focused internally on changes in the field of AI agents. Whenever a new AI agent paper appears, we get excited internally and have serious discussions”.

In the field of artificial intelligence, AI agents carry a new meaning: they are intelligent entities with autonomy, reactivity, proactiveness, and social capabilities. Designed to have independent thinking and action, AI agents demonstrate remarkable flexibility and adaptability in achieving goals.

Simply provide an AI agent with a goal, such as writing a game or developing a webpage, and it will generate a task sequence based on feedback from the environment and its own abilities, then start working. It’s like artificial intelligence has the ability to self-inspire and self-correct, continually evolving and adapting to achieve your defined goals in the best possible way.

Future Applications of AI Agents?

Understanding the fundamental concept of agents, we can vividly imagine their potential in solving real-world problems.

• AI agents not only perform various tasks like data processing, information retrieval, and file management that conventional programs can accomplish but also possess unique characteristics.
• Unlike traditional programs that follow predetermined paths and struggle with unforeseen circumstances, AI agents autonomously gather data, analyze information, and execute specific operations under preset conditions, thereby enhancing work efficiency and accuracy.
• By integrating AI agents with blockchain technology, smart contracts can be executed in a more intelligent and efficient manner, providing better security and convenience for transaction participants. This technological advancement will bring more opportunities and innovations to the application areas of blockchain, driving digital transformation.
• AI agents can also leverage data on the blockchain for analysis and prediction, assisting users in making smarter decisions. Using deep learning algorithms and big data analysis techniques, AI agents can uncover hidden patterns and trends in data, offering users accurate forecasts and recommendations.

However, the above are merely the primary applications of AI agents, and the true revolution is yet to come. No one can precisely predict what the future holds. Nonetheless, we can glimpse the future from reality.

With the grandest vision in mind, we aspire to merge blockchain, metaverse, and AI agents. We will continue to explore the boundaries of AI and strive to build a decentralized AI fortress, providing the simplest and most intelligent interaction for WEB3 users.