The New Frontier of AI Agents: Self-Evolving from Real-World Experiences
sujingshen · x · 2026-08-24
This article explores the new frontier of AI agents: self-evolving from real-world experiences. Agents have evolved from calling tools to coordinating teams of sub-agents and handling larger contexts. However, for most agents, repeating a task for the 100th time still lacks efficiency. The article proposes the direction of achieving self-evolution through real-world feedback.
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