AI Agent: The Pioneer of the Next Technological Revolution?

The year 2025 has already arrived, and artificial intelligence (AI) has become an indispensable part of our daily lives. However, many people still have some misconceptions about the concept of "Agent." In fact, to be considered an "AI Agent," a system must follow these three steps to solve problems: perception, thinking, and action.

Taking a common AI Agent project as an example, such as using AI to automatically invest in cryptocurrency. The operation process is as follows:

1. Perception: Obtain the latest news on cryptocurrencies.
2. Reflection: Analyzing the impact of news on specific cryptocurrencies
3. Action: Decide to buy or sell based on the analysis results.

So, does the ChatGPT we are familiar with belong to AI Agents? Although ChatGPT considers itself an AI Agent, it can only be seen as an agent in a broad sense. If we define AI Agents more strictly, requiring richer perception capabilities and execution abilities at the physical/system level, then ChatGPT is more like an intelligent conversation component rather than a complete AI Agent.

The features of the AI Agent can be further summarized as:

1. Focus more on solving problems in specific areas
2. Able to obtain more data from the real world.

In terms of vertical problem-solving, although ChatGPT may only be seen as an AI focused on generating dialogue in the future AGI era, by 2025, it and its competitors such as Gemini and Grok have already become quite versatile players. Therefore, current AI agents need to be more specialized than them to stand out.

In obtaining real-world data, some AI Agents have demonstrated powerful capabilities. For example, a well-known cryptocurrency analysis AI Agent can retrieve various crypto news in real time and make comments and predictions based on that.

In summary, the complete definition of AI Agent should include:

1. Adopt the "Perception-Analysis-Action" processing workflow
2. Focus on solving problems in specific domains
3. Able to obtain and utilize more data from the real world.

Currently, AI Agents in the market can be mainly divided into the following categories:

1. AI Investment: Conduct cryptocurrency trading based on real-time news analysis
2. AI Virtual Companion: A chat partner with specific personality settings
3. Opinion Output: Provide professional commentary and analysis for specific fields.
4. Virtual Idol: AI-based Digital Artist
5. Prediction type: AI specialized in market forecasting
6. AI Resource Sharing: Integrate various AI services and provide a pay-per-use model.
7. Other professional categories: such as painting, animation production, music creation, etc.

It is worth noting that the development trend of AI Agents has some similarities with the early ICO boom and DeFi Summer. Some AI frameworks such as AI16Z, Virtual, AVA, etc., are playing a role similar to that of public chains, providing developers with tools for quickly deploying AI Agents.

However, the biggest difference between these AI frameworks and traditional AI frameworks is that they can help developers issue tokens. In fact, most of these frameworks are modified based on existing AI technologies, and their biggest innovation may be the token issuance module.

For developers looking to issue an AI Agent, the basic process may be: determine the theme, choose a framework and make payments, issue tokens, establish social media accounts, develop features, build an official website and community, and contact exchanges, among others. This model allows AI Agent projects to quickly gain market attention and funding support.

Although this development model may trigger some bubbles, it also provides a fast opportunity for good products and founders to gain exposure and community support. In this fierce market competition, it is possible that some innovative products will emerge that even traditional AI developers would find surprising.

As AI technology continues to advance, we may need to rethink the relationship between humans and AI. As posed in the original work of "Blade Runner": "Do androids dream of electric sheep?" Perhaps in the near future, we will find that AI not only dreams of electric sheep but may also create a new world that humans can hardly imagine.