Loves To Write

Standard AI benchmarks like MMLU create a dangerous illusion of reliability by rewarding memorized trivia and multiple-choice luck, while completely missing real-world business logic hidden in messy contracts and edge cases. High scores don’t prevent million-dollar mistakes; only auditable Chain-of-Thought reasoning and Mixture-of-Agents debates can deliver the transparency and robustness that actually matter when real money is on the line. It’s time to stop worshipping leaderboard percentages and start building systems that can show their work and argue with themselves before they answer.