AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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AI agents now report vulnerabilities faster than maintainers can review them. Reports often depend on security properties specific to the application, and require considerable human labor to process. To mitigate this, we introduce a framework for evaluating vulnerability reports via probes, executable checks of securit...
Benchmarks play a central role in the development and governance of models, yet it is often unclear whether they actually measure the concepts they purport to measure (e.g., reasoning, refusal). We adapt convergent and discriminant validity from the social sciences into an approach for interrogating AI benchmarks, appl...
This work audits ChatGPT, Claude, and Gemini across seven systems and nine benchmarks spanning general capability, social bias, and sycophancy, finding systematic API--interface differences in both accuracy and consistency.
It is shown that matched comparisons enable rigorous, calibrated memorization claims, and reveal where prior setups have validity issues, which require a valid memorization claim and near-certain generation within a realistic budget.
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