If machine learning were merely an academic curiosity, we could shrug this off. For instance, one of us was able to trick ChatGPT into giving precise instructions on how to build explosives made out of fertilizer and diesel fuel, as well as how to adapt that combination into a dirty bomb using radiological materials. These types of common exaggerations ultimately detract from effective policymaking aimed at addressing both immediate risks and potential catastrophic threats posed by certain AI technologies. Tabloid-style reporting on AI only serves to fan the flames of hysteria further. The demand for AI stories has created a perfect storm for misinformation, as self-styled experts peddle exaggerations and fabrications that perpetuate sloppy thinking and flawed metaphors. The proliferation of sensationalist narratives surrounding artificial intelligence - fueled by interest, ignorance, and opportunism - threatens to derail essential discussions on AI governance and responsible implementation. The only problem? The “simulation” never happened - the Air Force official who related the story later said that it was only a “thought exercise,” not an actual simulation. This story featured everything that prominent individuals have been sounding the alarm over: misaligned objectives, humans outside of the loop, and an eventual killer robot. Recently, a number of viral stories - including one by Vox - described an Air Force simulation in which an autonomous drone identified its operator as a barrier to executing its mission and then sought to eliminate the operator.
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