Frontier labs now flip critical intelligence pipeline components from human-made to model-made. This shift prioritizes synthetic data over manual curation to accelerate training. While these simulated versions often perform 10% worse than human counterparts, they operate 10,000x faster. Latent Space argues this trade-off allows frontier labs to scale intelligence at a fraction of the cost.