Agents
Self-improving agents are a top research topic right now. This new survey is a good map of the area. (bookmark it) It splits recursive self-…
Self-improving agents are a top research topic right now. This new survey is a good map of the area. (bookmark it) It splits recursive self-improvement into stages of autonomy. An agent first executes
Self-improving agents are a top research topic right now. This new survey is a good map of the area. (bookmark it) It splits recursive self-improvement into stages of autonomy. An agent first executes improvements someone else designed. Then it chooses its own improvement strategy, collects its own experience, adapts to new environments, and finally improves the process of improvement itself. That staging makes claims easier to check. When a paper says its agent is self-improving, you can ask which of these stages it actually automates. The survey also uses a Headroom-Closed Index to show where current LLMs fall short, and compares requirements across scientific discovery, embodied agents and software engineering. Paper: https://academy.dair.ai/papers/the-last-ai-built-by-humans-toward-genuine-recursive-self-improvement-2609.11873
Related
- // Harnessing Agentic Evolution // Pay attention to this one if you run iterative agentic search loops. (bookmark it) AEvo splits the self-i…
- cool new paper on self-improving agents
- Great paper on self-improving agents. Why? We need to think more deeply about AI agent system design. The protocol specifies a framework for…
- NEW paper: Recursive Multi-Agent Systems
Source: DAIR.AI (X) | 2026-09-12