AI Agent: Exploring the Future Prospects of New Fields in Artificial Intelligence

As time progresses to 2025, artificial intelligence has become an indispensable part of our lives. However, many people still have some misconceptions about the concept of "Agent". In fact, a project referred to as an "AI Agent" must follow these basic steps to solve problems: perception, thinking, and action.

Taking automated cryptocurrency investment as an example, a typical workflow of an AI Agent project is as follows:

1. Awareness: Obtain the latest news on cryptocurrency.
2. Reflection: Analyzing the impact of news on specific cryptocurrencies
3. Action: Make buy or sell decisions based on the analysis results.

So, does ChatGPT, which we use in our daily lives, belong to the category of AI Agents? Although ChatGPT considers itself to be a type of AI Agent in a broad sense, it is more like an intelligent conversation component, lacking complete multimodal or physical environment operation capabilities.

In contrast, a true AI Agent typically has the following characteristics:

• Focus on solving problems in specific verticals.
• Able to obtain more data from the physical world

Based on these characteristics, we can define an AI Agent as:

1. Adopt a "Perception-Analysis-Action" processing flow.
2. Focus on solving problems in specific verticals.
3. Utilize more data from the real world

Currently, the application scope of AI Agents is broad, mainly including the following aspects:

1. AI Investment: Automatically analyze market dynamics and make investment decisions
2. AI Virtual Companion: An intelligent dialogue system with specific personality settings
3. Opinion Output: Provide professional comments and analysis for specific fields
4. Virtual Idol: Digital artists created based on AI technology
5. Market Forecast: Predictions on specific events or market trends
6. AI Resource Sharing: Integrate various AI services and provide a pay-per-use model.
7. Other applications: such as AI painting, music creation, and other multimodal tasks.

In the development process of AI Agents, various frameworks and platforms have emerged, such as AI16Z, Virtual, AVA, etc. These platforms not only provide technical support but also offer developers a quick way to issue tokens, which has, to some extent, promoted the prosperity of the AI Agent ecosystem.

However, we also need to recognize that the current hype in the AI Agent field may be overheated. Many projects may focus more on token issuance and market capitalization growth rather than on technological innovation and practical applications. Nevertheless, the characteristics of the cryptocurrency market allow excellent products and founders to quickly gain attention and support, while also enabling the swift elimination of subpar projects.

Looking to the future, the development of the AI Agent field may bring unexpected innovations. With the continuous advancement of technology, we might see more astonishing AI applications. However, this also raises some deep reflections: how will human society adapt and transform in the rapidly developing future of AI? This question is worth contemplating for each of us.