Does Task Quality Actually Matter?

AI model capabilities are fundamentally bounded by training data quality
this holds regardless of model architecture, scale, or agent harness.
For agentic benchmarks and evals, task quality is data quality
but the field currently lacks empirical evidence that curating higher-quality tasks leads to meaningfully better training outcomes.

Can we measure the impact of task quality on model performance?