AI Snake Oil
Tuesday, February 24, 2026
Sayash Kapoor
New Paper: Towards a science of AI agent reliability
AI reliability capability-reliability gap AI agents robustness AI safety
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Summary
Researchers have published a paper addressing the gap between AI agents' demonstrated capabilities and their actual reliability in real-world applications.
The work focuses on quantifying and understanding why AI systems that perform well in testing often fail unpredictably when deployed.
This research aims to establish scientific methods for measuring and improving AI agent dependability.
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