MIT Tech Review warns the risk of weather-data sabotage is rising

MIT Technology Review·medium signal

MIT Technology Review argues the shared weather-forecast data that airlines, grid operators, and farmers depend on is increasingly vulnerable to sabotage. As AI weather models rely on these upstream feeds, poisoning or disrupting them becomes a systemic risk that propagates into automated decisions. A reminder that data-supply-chain integrity is a first-class safety concern for AI systems built on public feeds.