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The analysis, published on the Substack platform and now also in the Guardian, suggests that a system like Maven could have played a central role in this specific case.
According to this, it was not an AI language model that was responsible, but the combination of outdated data and a highly accelerated, software-supported targeting process. The error, according to this account, originated where a military database entry was not updated for years and was subsequently processed by a system like Maven without sufficient human review.
Maven is geproduceerd door Palantir, maar concrete bewijzen zijn er dus niet voor. En Palantir adviseert niet om gebouwen te bombarderen, Palantir maakt AI-tools zoals Maven, waarbij op grote hoeveelheden data, zoals satelliet- en dronebeelden, radar en inlichtingenrapporten, militaire doelen of dreigingen kunnen worden geïdentificeerd. Uiteindelijk is nog altijd aan mensen om op basis van zulke informatie een beslissing te nemen. En je hebt meerdere bedrijven die zulke tools maken.
'I moved to Peru and shaved half my head and wrote for Teen Vogue. If I can come back from the depths of leftism, trust me, anyone can.' - Gina Florio