📄New Research on Self-Evolving Agents:
When AI agents modify themselves, how do we know they actually got better?
We present Diving into Reliable Self-Evolving Agents: A Survey—a systematic map of how agents self-evolve and what evidence is needed to trust each update.
The survey:
🔹 Defines an L0–L4 taxonomy for self-evolving agents
🔹 Introduces a reliability ladder for trustworthy updates
🔹 Curates 549 works in an open companion catalog
One core principle: no update should control the only evidence used to accept itself.
Explore the full survey ↓
📄 Paper: https://t.co/V9vJGdF2FP
🌐 Project: https://t.co/y8uI9EIPf0
💻 GitHub:
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
If your AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → rewrites its own prompts, tools or weights, this gives a vocabulary for which level of self-modification you are running and what evidence should gate each update.
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