The Bitter Lesson posits that general methods leveraging computation outperform human-designed heuristics. Frontier labs prioritize scaling compute to solve the long tail of arcane problems. This approach assumes that raw scale is the primary path to AGI. Practitioners must weigh this reliance on compute against the need for architectural breakthroughs.