AI’s promise is undermined by scandals like faulty exam grading. To rebuild trust, we need independent oversight, clear rules, public involvement and global cooperation so AI serves everyone fairly and earns legitimacy. This piece calls for enforceable regulation, public oversight and global action.
Without a red button to halt a runaway model, AI labs risk crossing dangerous boundaries. This feature proposes an abort doctrine, echoing mission rules and market circuit breakers, to define thresholds, assign independent authority and mandate learning. It calls for balancing innovation with safety
In this board-level study, we explore why smaller, task-specific AI models often outperform massive frontier models. The piece examines how accuracy, latency, cost and risk interact, and provides decision frameworks and metrics for executives. Restraint brings cost, speed and reliability advantages.
Power no longer flows through oil pipelines but through silicon. A few nations and models now shape the world’s future. Compute is the new oil, evaluation the new diplomacy, and cultural sovereignty the next frontier of global power.
AI’s greatest resource isn’t code—it’s culture. From books and newsrooms to music and art, training data is the raw material of generative models. As courts, creators, and policymakers clash, the question looms: who truly owns the training set that powers the future of intelligence?
