The 75 people just stood by and watched ICE murder a citizen in broad daylight. When in reality those 75 people could have not only stopped the murder from happening, but likely killed those 6 ICE agents and prevented a future tragedy.
Surely civilians joining together in a mob to take out Trump's gang of lil rascals would be the end of it right?
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The Lavender precedent: automated kill lists and the limits of International Humanitarian Law
The onslaught was, undoubtedly, fuelled by algorithmic calculations and the automatisation of warfare. (Fatafta and Leufer 2024). Indeed, AI-driven targeting enabled the Israeli Defence Force (IDF) to find targets faster than they could be struck (Mhajne 2025). In practice, this meant that once the bombing began, there was a virtually endless “pipeline” of targets. One intelligence officer stated, “the targets never end”. Once an attack is launched, the commander has “another 36,000 waiting” (McKernan & Davies 2024). The integration of these AI systems has accelerated the pace and expanded the scale of attacks to a degree that experts say “incomparable with any 21st-century air campaign”, with devastating consequences for Gaza’s civilians (Airwars 2024).
Foremost among these AI tools is a system code-named “Lavender,” an algorithm developed by Unit 8200 (Israel’s elite signals intelligence unit) to automate the identification of human targets. An investigative report by +972 Magazine and Local Call (Abraham 2024) revealed that the Lavender algorithm assigns each person a probabilistic score indicating the likelihood that they are members of an armed group (Mhajne 2025). Six Israeli intelligence officers involved in the process testified that the system marked up to 37,000 Palestinians as suspected militants and identified their homes as targets for attack (Abraham 2024). These were predominantly low-ranking individuals.
Good luck bringing 75 guns to a Palantir drone fight, Mark Wahlberg.