"Battlefield data shared between allies for model training needs to be graded for quality, just as oil is.
The war in Ukraine is transforming battlefield data into a shareable asset. In August, Britain became the first foreign country to get access to Ukraine's Avengers AI Labs, a platform collecting data from thousands of cameras and infrared sensors. The British government has described the platform as a gold mine.
Meanwhile, the Iran war is demonstrating that the asset lacks a grade. The conflict has been fought within a data environment that is unreliable at the point of generation. In the first four days of the war alone, 1,735 instances of satellite-navigation interference were recorded across the Gulf. In the same period, Iranian drones damaged data centres in the United Arab Emirates and Bahrain, forcing a break in data custody.
Battlefield data now has volume and a price but no assay: nothing certifies what fraction of a dataset was induced by deceptive signals (spoofing), degraded by the defender's own jamming, reset or restored under duress, or absent because an interceptor was autonomous. A clean thermal frame of a Shahed strike drone with a corrupted range label looks fine, but it is a compromised training example…"
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Armand
checks out some 10/15mm railroad tracks for wargaming.
