Adversaries do not need to breach the Pentagon’s systems: They only need to harvest the logic of the publicly released frontier AI models that underpin them. This is a defining risk as the Department of Defense pivots to an “AI-first” warfighting machine. In this new context, military predominance is a derivative of AI model supremacy. From Project Maven’s intelligence fusion to the high-velocity sensor-to-shooter loops of Anduril’s Lattice, the Defense Department’s most advanced systems are tethered to the frontier models forged by tech heavyweights like Anthropic, Google, and OpenAI. As long as these firms hold the high ground in the
Test yourself on the week of May 9: U.S. President Donald Trump visits China, India and Kenya host summits, and several prime ministers have a rough time.
On April 15, technology podcaster Dwarkesh Patel published a two-hour interview with Nvidia CEO Jensen Huang. For roughly forty minutes, Patel asked one question six different ways. The question was this: If American-made compute trains AI models with the serious cyber-offensive capabilities Anthropic’s Mythos Preview demonstrated — and that compute is sold to a strategic adversary — what responsibility does the seller bear?Huang’s answers hovered a safe distance away from the question. AI is a “five-layer cake,” he told Patel, and ceding any layer to China would be industrial suicide. The Chinese, he argued, already have enough compute to do