Exploring the shift from static dataset evaluation to dynamic, agentic benchmarking in the era of capable AI models.
The future isn't about achieving 99% accuracy on a static CSV file. It's about Capability Evals:
Human-in-the-loop qualitative assessment.
Using a stronger model (e.g., GPT-4) to grade the output of a smaller model.
Measuring success rates in actual production tasks.