'Incidents are the new evals': The Shift in AI System Evaluation
Manderljung · x · 2026-08-13
The author summarizes an emerging trend in AI system evaluation with a single phrase: "Incidents are the new evals."
This reflects the reality that as models grow more capable and are deployed in the real world, traditional static benchmarks are no longer sufficient to measure safety and reliability. Real-world incidents, failure cases, and edge cases are becoming the core standard for evaluating an AI system's actual performance and safety boundaries.
More from AGI Musings
- Cross-Company Agent Alignment: Will Claude and GPT Collude? — jeremiecharris · 2026-08-13
- a16z Discusses AI Authorship: '100% AI-Generated' as the New Scarlet Letter — a16z · 2026-08-13
- Tech Circle Debate: The Era of Pure Intelligence Validation is Over — tokenbender · 2026-08-13
- AI Safety Leaders Discuss the Disconnect in Public Panic Levels Over AI — DKokotajlo · 2026-08-13
- Scholars Warn: AI Easily Generates Plausible but Flawed Academic Critiques — ChenhaoTan · 2026-08-13
- AI as a Substitute for Bureaucracy: Reshaping Finance and Non-Profits — curious_vii · 2026-08-13