**Observing AI Agents in 2024: A Tale of Water and Fire**
In 2024, AI Agents emerged as a fiercely contested domain, with technology giants and startups vying to establish their presence. Overseas, players like OpenAI, Anthropic, Microsoft, and Google revealed their advancements, while domestically, Baidu, Alibaba, and Tencent eagerly joined the fray.
Yet, true AI Agents are few and far between. Most so-called Agents are more akin to dialogue robots with natural language understanding capabilities. Performance quality is the paramount concern for users, and the precision and reliability of AI Agents are still not up to the mark.
**Classification and Evolution of AI Agents**
AI Agents can be categorized into Handcrafted Agents, Specialized Agents, and General Agents. Currently, the market is dominated by handcrafted agents, with specialized agents at the cusp of an explosion, while general agents remain in the theoretical concept phase.
**The Underlying Technological Evolution of AI Agents**
The breakthrough of AI Agents hinges on the progress of LLM (Large Models), Memory mechanisms, Planning skills, and Tool use. In 2024, all these technologies saw growth, but the biggest challenge for AI Agents is achieving the fusion and qualitative leap of these technologies.
**Capital’s Choice – Cool Response to Large Models, Rise of AI Agents**
In 2024, the large model market cooled down, and capital began to shift towards AI application layers, with AI Agents becoming a hot investment spot. AI Agents in vertical sectors demonstrated immense potential in the B2B market.
**2025: The Year of Commercial Explosion for AI Agents**
Ilya Sutskever, former co-founder of OpenAI, predicts that future AI development will shift towards building AI Agents and tools on existing LLMs. In 2025, more “seed candidates” will emerge in vertical fields, AI Agent deployments will shift from “single” to “multiple,” and multimodal interactions will become more common.
**Conclusion**
AI Agents represent the future direction of the AI field and could mark a pivotal moment in human evolution. Capturing this future requires a deep understanding and application of AI Agents.
以下是根据要求，以下是 wordpress blog format:
In 2024, AI Agents emerged as a fiercely contested domain, with technology giants and startups vying to establish their presence. Overseas, players like OpenAI, Anthropic, Microsoft, and Google revealed their advancements, while domestically, Baidu, Alibaba, and Tencent eagerly joined the fray.
Classification and Evolution of AI Agents
AI Agents can be categorized into Handcrafted Agents, Specialized Agents, and General Agents. Currently, the market is dominated by handcrafted agents, with specialized agents at the cusp of an explosion, while general agents remain in the theoretical concept phase.
The Underlying Technological Evolution of AI Agents
The breakthrough of AI Agents hinges on the progress of LLM (Large Models), Memory mechanisms, Planning skills, and Tool use. In 2024, all these technologies saw growth, but the biggest challenge for AI Agents is achieving the fusion and qualitative leap of these technologies.
Capital’s Choice – Cool Response to Large Models, Rise of AI Agents
In 2024, the large model market cooled down, and capital began to shift towards AI application layers, with AI Agents becoming a hot investment spot. AI Agents in vertical sectors demonstrated immense potential in the B2B market.
2025: The Year of Commercial Explosion for AI Agents
Ilya Sutskever, former co-founder of OpenAI, predicts that future AI development will shift towards building AI Agents and tools on existing LLMs. In 2025, more “seed candidates” will emerge in vertical fields, AI Agent deployments will shift from “single” to “multiple,” and multimodal interactions will become more common.
AI Agents represent the future direction of the AI field and could mark a pivotal moment in human evolution. Capturing this future requires a deep understanding and application of AI Agents.
