"In the first 24 hours of the assault on Iran, the US military struck more than 1,000 targets, nearly double the scale of the 'shock and awe' attack on Iraq over two decades ago. This acceleration was made possible by AI systems that speed up the targeting process."
"Maven synthesizes satellite imagery, radar, social media, and dozens of other data sources to identify and target entities on the battlefield. It also speeds up what's called the 'kill chain.'"
"A process that once took hours can now be completed in seconds. An official tells Manson that the technology has allowed the US to go from hitting under a hundred targets a day to a thousand, and with the addition of LLMs, up to five thousand targets a day."
"One of the thousand targets struck on the first day of the Iran war was a girls' school, killing more than 150 people, mostly children. The school had previously been part of an Iranian naval base, yet it was listed online as a school and playgrounds were visible on satellite imagery."
The US military's assault on Iran involved striking over 1,000 targets within 24 hours, facilitated by AI systems such as the Maven Smart System. Developed from 2017, Maven utilizes computer vision to analyze drone footage and synthesize various data sources for targeting. Initially contracted by Google, Maven faced employee protests, leading to its development by Palantir. The system has significantly accelerated the targeting process, allowing the military to increase daily strikes from under a hundred to potentially five thousand. However, this rapid targeting has raised concerns about civilian casualties, exemplified by a strike on a girls' school.
Read at The Verge
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