Taiwan’s existence as a self-governing democracy may depend heavily on having enough military drones to discourage any attempted invasion by China’s military. As the Taiwanese government aims to boost domestic production of military drones and Taiwanese citizens sign up for drone flight training, Taiwanese companies are forming international partnerships to sell more drones to the US military and other overseas buyers.

Taiwan’s Ministry of National Defense proposed a special budget that would spend $6.6 billion over six years on buying drones made in Taiwan, according to the Central News Agency that represents the national news service of Taiwan. Presented on June 18, the budget proposal would allow the government to buy more than 208,000 coastal attack drones, along with more than 1,400 coastal reconnaissance drones and 1,320 uncrewed surface vessels, between 2026 and 2031.

That would be a significant boost to the Taiwanese military arsenal that currently includes just 5,000 US-made attack drones and domestically produced drones, according to Resilience Media. During military exercises in early June, Taiwanese soldiers fired Altius-600 loitering munition drones—made by a subsidiary of the US military technology company Anduril Industries—from towed flatbed launchers to strike offshore targets, according to USNI News. In another exercise earlier this year, Taiwanese Marines used Taiwan-made drones to similarly strike targets at sea.

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What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure out a training regimen that teaches the robots to successfully cut zip ties and even insert GPUs into thin sockets on motherboards.

That glimpse into how AI can act in a fully autonomous way to automate robot training was made possible by a new agent harness framework—software that wraps around AI models to enable their use of various tools while also providing capabilities such as memory, context, constraint, and feedback loops. That agentic harness, called ENPIRE, was developed by robotics researchers at the Nvidia GEAR (Generalist Embodied Agent Research) lab alongside collaborators from Carnegie Mellon University in Pittsburgh and the University of California, Berkeley.

“A part of our NVIDIA GEAR lab now self-improves tirelessly overnight,” wrote Jim Fan, director of AI at NVIDIA, in a LinkedIn post. “We just read the reports in the morning.”

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The US Department of Defense has a lot of congressionally mandated homework to do every year involving hundreds of required reports on various national security topics. But Pentagon officials have been proudly describing a new shortcut—using generative AI tools to write such reports for Congress.

Pentagon Chief Technology Officer Emil Michael highlighted AI-generated reports to Congress as a key example of how the Department of Defense—stylized as the Department of War under the Trump administration—has adopted generative AI during an event hosted by the Hudson Institute think tank in Washington, DC, on June 12. The Pentagon has made AI tools, starting with Google Cloud’s Gemini for Government, widely available to members of all six military branches through the department’s bespoke GenAI.mil platform since December 2025.

“I have to report to Congress every year on this thing,” Michael said. “Let me load all the papers onto it and have it draft me a congressional report that would otherwise take 200 hours of staffing time and do it in five hours.”

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