The Future of AI Agents: From Concept to Application

As time progresses to 2025, artificial intelligence has deeply integrated into our daily lives. However, there are still many misunderstandings regarding the concept of "Agent". In fact, a project referred to as an "AI Agent" must follow these three steps to solve problems: perception, thinking, and action.

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

1. Perception: Get the latest cryptocurrency news.
2. Reflection: Analyze the impact of news on specific cryptocurrencies
3. Action: Decide to 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 intelligent component, lacking the complete capability for multimodal or physical environment operations.

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

Currently, the application range of AI Agents is wide, including but not limited to:

1. AI Investment: Cryptocurrency trading based on real-time news analysis
2. AI Virtual Companion: A dialogue system with specific personality settings
3. Opinion Output: Provide professional commentary and analysis for specific fields.
4. Virtual idols: AI-based digital artists that can release musical works.
5. Prediction Market: AI systems specifically designed for market predictions
6. AI Resource Sharing: Integrating various AI services to provide on-demand payment solutions.
7. Other applications: such as AI painting, GIF generation, music creation, etc.

In terms of the development frameworks for AI Agents, there are currently several options available in the market, such as AI16Z, Virtual, and AVA. These frameworks not only provide technical support but also assist developers in issuing tokens, forming a unique business model.

However, there are also critics who point out that certain AI Agent projects may focus too much on token issuance while neglecting technological innovation. Nevertheless, the combination of cryptocurrency and AI indeed provides innovators with the opportunity to quickly gain market feedback.

As time goes by, AI Agent technology may bring more surprising innovations. We look forward to seeing truly valuable products emerge in this field amid fierce market competition.

Finally, it is worth considering how the relationship between AI and humans will evolve in the next 20 or 30 years as AI technology continues to develop. This question remains unresolved and deserves our ongoing attention and discussion.