AI Agent: A Vision for the Future from Definition to Application

The year 2025 has arrived, and artificial intelligence has become an indispensable part of our lives. However, there are still many misunderstandings regarding the precise definition of "Agent".

A true AI Agent must follow these steps to solve problems:

1. Perception
2. Think
3. Action

Taking the AI Agent for automatic investment in cryptocurrency as an example, its working principle is as follows:

1. Perception: Get the latest cryptocurrency news.
2. Reflection: Analyzing the impact of news on specific cryptocurrencies
3. Action: Buy or sell based on the analysis results.

So, is the well-known ChatGPT considered an AI Agent? Although ChatGPT considers itself an AI Agent, it is more like a conversational intelligence component, lacking the full multimodal or physical environment operation capabilities.

The characteristics of the AI Agent can be further abstracted as:

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

Compared to the current versatile large language models, AI Agents need to be more specialized and possess the ability to actively acquire knowledge of the physical world. For example, AI Agents in the cryptocurrency field can obtain and analyze various crypto news in real-time, making comments and predictions.

Therefore, the complete definition of AI Agent can be summarized as:

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

Currently, the application range of AI Agents is extensive, mainly including the following categories:

1. AI Investment: Automatically analyze the market and execute trades
2. AI Virtual Companion: An interactive AI with specific personality settings
3. Opinion Output: Provide professional comments and analysis on specific areas.
4. Virtual Idol: AI-based Digital Artist
5. Prediction Service: Provides prediction results for various events.
6. AI Resource Sharing: Integrating various AI services for convenient access
7. Other applications: such as AI painting, music creation, etc.

At the same time, various AI Agent development frameworks have emerged like mushrooms after rain, such as AI16Z, Virtual, and AVA. These frameworks not only provide technical support but also offer features like token issuance for developers, making the development and release of AI Agents more convenient.

However, this rapid development has also sparked some controversy. Traditional AI developers question the technical quality of these projects, while supporters in the cryptocurrency field believe that this model can accelerate the market discovery process and promote innovation.

Despite the possibility of overheating in the current AI Agent field, this fierce market competition may foster unexpected innovative products. In the future, the continuous development of AI technology will bring us more exciting possibilities.

In this rapidly developing era of AI, we can't help but ask: Will future AI develop self-awareness as described in science fiction works? Do androids dream of electric sheep? These questions may soon have answers in the near future.