Goodhart's law is ruining AI models, warns 20-year senior developer

The fact

Companies optimizing exclusively on public benchmarks (MMLU, HumanEval) sacrifice real robustness, bias, and generalization problems.

This metric distortion compromises actual AI model quality, creating illusion of progress while worsening real-world use case performance.