Episode Details

Broad AI benchmarks like MMLU and HumanEval are gamed, contaminated, and don't predict real-world performance. This episode explores a new role that's quietly emerging: the domain-specific AI evaluator. We break down the four pillars of the job — LLM architecture knowledge, statistical literacy, domain expertise, and tooling fluency — and why a $50K evaluation engagement can prevent a $2M deployment failure. If you've ever wondered how hospitals, law firms, or insurers should actually test AI before deploying it, this one's for you. Episode #118954 — open it directly at myweirdprompts.com/118954