#command-analysis

#command-analysis

"War is terrible, war is terrible, war is terrible," he intones, holding my gaze and giving voice to a universal chorus.

Hegseth asked General Randy George, who was just over halfway through his slated tenure as Army chief of staff, to step down and retire immediately, a Pentagon official told us.

When civilian banks, logistics platforms, and payment processors share physical data center infrastructure with military AI systems, those facilities become legitimate military targets under international humanitarian law - and the civilian services housed inside lose their legal protection.

The conduct of War is, therefore, the formation and conduct of the fighting. If this fighting was a single act, there would be no necessity for any further subdivision, but the fight is composed of a greater or less number of single acts, complete in themselves, which we call combats, as we have shown in the first chapter of the first book, and which form new units.

I have been working in Ukraine since 2019, first as an active Green Beret advising in an official capacity, then after leaving that service, directing special operations on the ground and more recently carrying hard-won lessons back to NATO before they are forgotten or overtaken by the next news cycle.

Department of War AI will not be woke. We're building war ready weapons and systems, not chatbots for an Ivy League faculty lounge. Later on, President Donald Trump lambasted Anthropic as a RADICAL LEFT, WOKE COMPANY.

Lead without authority. You may not have direct reports, yet you shape architecture, quality and the roadmap. Your leverage comes from artifacts, reviews and clear standards, not from title.I started by publishing a lightweight architecture template and a rollout checklist that the team could copy. That reduced ambiguity during design and cut review cycles by nearly 30 percent

When the user asks "What enemy military unit is in the region?" the AIP Assistant guesses that it's "likely an armor attack battalion based on the pattern of the equipment." This prompts the analyst to request a MQ-9 Reaper drone to survey the scene. They then ask the AIP Assistant to "generate 3 courses of action to target this enemy equipment," and within moments, the assistant suggests attacking the unit with either an "air asset," a "long range artillery," or a "tactical team."

Infantry once relied on numbers to solve uncertainty. When soldiers could not see or hit targets precisely, the answer was more troops and more fire. Sniper technologies quietly overturned that logic. By extending range, improving accuracy, and increasing awareness, they allowed small teams to dominate space once controlled only by massed formations. Precision replaced presence, and patience became a battlefield advantage. Here, 24/7 Wall St. is taking a look at the sniper technologies that totally changed the game.

On paper, many of the world's most famous weapons looked like reliable successes. In practice, desert sand, jungle humidity, and arctic cold often had other ideas. Systems that performed well in testing or early combat sometimes broke down once environmental stress became unavoidable. Here, 24/7 Wall St. is taking a closer look at how the environment, not enemy fire, can quietly expose limits that designers never fully anticipated.

The US Army's biggest AI gamble may not be on autonomous weapons, but instead whether Silicon Valley software can tackle the service's most tedious and, more often than not, grueling administrative jobs. Think less uncrewed aircraft and more behind-the-scenes tasks like recruiting, equipment maintenance, and endless gear inventories. Through a mix of new tools, redesigned workflows, and data integration, logisticians

According to the Secretary of Defense Pete Hegseth's memorandum on the Strategy, this AI-first status is to be achieved through four broad aims: Incentivizing internal DOD experimentation with AI models. Identifying and eliminating bureaucratic obstacles in the way of model integration. Focusing the U.S.'s military investment to shore up the U.S.'s "asymmetric advantages" in areas including AI computing, model innovation, entrepreneurial dynamism, capital markets, and operational data.