Verification and Self-Improvement in Agentic AI: Foundations and Limits
Agentic AI systems can improve by searching longer, receiving additional support, or modifying how they propose and verify outputs. A performance score does not distinguish these mechanisms. We compare these changes through bounded verification with hidden terminal randomness. A…
AI Summary & Key Takeaways
- Agentic AI systems can improve by searching longer, receiving additional support, or modifying how they propose and verify outputs
- A performance score does not distinguish these mechanisms
- We compare these changes through bounded verification with hidden terminal randomness
Verification and Self-Improvement in Agentic AI: Foundations and Limits
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