Kevin Kelly
9.8K posts

Kevin Kelly
@kevin2kelly
Senior Maverick at Wired, author of bestseller book, The Inevitable. Also Cool Tool maven, Recomendo chief, and radical optimist.






























BREAKING: A Chinese AI startup called MizarVision is publishing high-resolution satellite imagery of every US military base, every carrier strike group, every F-22 deployment, every THAAD battery, and every Patriot missile position in the Middle East. Labelled. Geolocated. AI-annotated. Updated in near-realtime. Shared by PLA-linked accounts and Chinese state media to an audience of billions. The first major release came on 20 February, eight days before Operation Epic Fury began. MizarVision published images showing US aircraft transfers to Ovda Airbase in southern Israel, fighter deployments across Saudi Arabia and Qatar, and naval buildups in the Arabian Sea. By 1 March, the releases had expanded to include detailed imagery of bases in Jordan, Kuwait, Bahrain, and the UAE, with AI labelling identifying specific aircraft types, air defence configurations, and troop concentrations. One release catalogued approximately 2,500 individual US military assets across the region. The imagery comes from two sources. The first is China’s Jilin-1 satellite constellation, a network of over 100 commercial Earth observation satellites operated by Chang Guang Satellite Technology, whose data is used by the PLA. A majority of Jilin-1 satellites are dedicated to regional imaging with sub-metre resolution, capable of identifying individual aircraft on tarmacs and distinguishing between THAAD and Patriot battery configurations from orbit. The second source is commercially available Western satellite data from providers like Maxar and Airbus, which MizarVision aggregates, processes through proprietary AI models for automatic target recognition, and republishes with military-grade labelling that transforms raw imagery into actionable intelligence products. The Pentagon has downplayed the releases as “open-source.” This framing misses the point entirely. The value of MizarVision’s output is not the raw satellite image. Any government can purchase commercial satellite passes. The value is the AI processing layer that converts terabytes of imagery into labelled, searchable, cross-referenced intelligence products at a speed and scale that previously required the resources of a national intelligence agency. MizarVision is democratising military surveillance and publishing the output on social media where Iran’s 31 autonomous IRGC provincial commands can access it from a mobile phone. No direct evidence confirms classified data transmission from Beijing to Tehran. But the distinction between “classified” and “publicly shared AI-processed satellite intelligence identifying every US military asset in the Middle East by type, location, and configuration” is a distinction without a meaningful difference to a provincial IRGC commander selecting his next target. The strategic implications extend far beyond this conflict. In the 2022 Ukraine war, Maxar’s commercial satellite imagery aided Kyiv by exposing Russian deployments. The West celebrated it as the democratisation of intelligence. China has now executed the identical playbook in reverse: a nominally commercial firm, with documented PLA data-sharing arrangements, publishing intelligence products that expose American deployments during an active war. The precedent is set. Commercial satellite intelligence is now a weapon of great-power competition deployed through AI startups with plausible commercial deniability. MizarVision has fewer than 200 employees. Its AI models run on commercially available hardware. Its satellite data comes from constellations any nation can build. And it has just demonstrated the capability to map every US military asset across an entire theatre of war and publish the results on the open internet before the first bomb falls. The next war will not begin with a missile launch. It will begin with an AI model labelling every target from orbit. Full analysis - open.substack.com/pub/shanakaans…






