US military AI picked thousands of targets but missed a note saying one was a school

美军用AI选目标却误炸伊朗学校，Anthropic Claude嵌入Palantir系统首日建议约1000目标

A LA Times investigation found that a US missile strike on an Iranian elementary school killed about 120 children because an analyst's 2019 note never reached the official target database. The building was flagged as a school, but the database still used seven-year-old imagery and the annotation tool was never connected to the 1980s-era MIDB system. Anthropic's Claude, embedded in Palantir's Maven system, suggested roughly 1,000 targets on day one, while human vetting capacity was chronically under-resourced. Jack Shanahan, the Pentagon's own AI pioneer, said the targeting career field had withered so badly he could barely fill those roles as early as 2017.

Why it matters: Claude embedded in Palantir suggested ~1,000 targets on day one, but an analyst's school note from 2019 never made it into the target database. All three HKR axes hit with concrete numbers and system-gap details. Score held below 85 because the-decoder is a secondary source re...