Great paper on self-improving agents. Why? We need to think more deeply about AI agent system de...
- 论文提出Autogenesis协议，支持AI智能体自主识别并改进自身能力短板。
- 框架强调改进过程需具备可审计的演进路径和回滚机制，提升系统可靠性。
- 内容源自社交媒体推荐，缺乏深度解析或实证数据，信息密度较低。
Why?
We need to think more deeply about AI agent system design.
The protocol specifies a framework for proposing, assessing, and committing improvements with auditable lineage and rollback.
Visual below (courtesy of my research agent). https://t.co/rOKR4HRbrF" / X
elvis on X: "Great paper on self-improving agents. Why? We need to think more deeply about AI agent system design. The protocol specifies a framework for proposing, assessing, and committing improvements with auditable lineage and rollback. Visual below (courtesy of my research agent). https://t.co/rOKR4HRbrF" / X
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Great paper on self-improving agents. Why? We need to think more deeply about AI agent system design. The protocol specifies a framework for proposing, assessing, and committing improvements with auditable lineage and rollback. Visual below (courtesy of my research agent).
Quote
elvis
@omarsar0
·
Apr 17
// Self-Evolving Agent Protocol // One of the more interesting papers I read this week. (bookmark it if you are an AI dev) The paper introduces Autogenesis, a self-evolving agent protocol where agents identify their own capability gaps, generate candidate improvements,
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-  elvis @omarsar0 Follow Click to Follow omarsar0 Building @dair_ai • Prev: Meta AI, Elastic, PhD • New AI learning portal: https://academy.dair.ai
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