#ai-in-military-operations

#ai-in-military-operations

The suspects were arrested and charged with negligent discharge, according to a police report on the incident, citing surveillance footage that appears to show a vehicle passenger firing a weapon at Altman's home.

Retired Army Special Forces officer Mike Nelson criticized Hegseth's rhetoric, stating, 'That's a necessary end to achieve goals through military force - you have to kill people to achieve them. That's not the end. It's a weird obsession with death for the sake of it.'

The problem was not the agents. Every individual agent performed well within its domain. The problem was the missing coordination infrastructure between them, what I now call the 'Event Spine' that enables agents to work as a system rather than a collection of individuals competing for the same resources.

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

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.

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."

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.