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    Home » Generative AI is learning to spy for the US military
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    Generative AI is learning to spy for the US military

    ProfitlyAIBy ProfitlyAIApril 11, 2025No Comments3 Mins Read
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    “We nonetheless must validate the sources,” says Lowdon. However the unit’s commanders inspired using giant language fashions, he says, “as a result of they supply much more effectivity throughout a dynamic scenario.”

    The generative AI instruments they used had been constructed by the defense-tech firm Vannevar Labs, which in November was granted a production contract price as much as $99 million by the Pentagon’s startup-oriented Protection Innovation Unit with the objective of bringing its intelligence tech to extra navy models. The corporate, based in 2019 by veterans of the CIA and US intelligence group, joins the likes of Palantir, Anduril, and Scale AI as a significant beneficiary of the US navy’s embrace of synthetic intelligence—not just for bodily applied sciences like drones and autonomous automobiles but additionally for software program that’s revolutionizing how the Pentagon collects, manages, and interprets knowledge for warfare and surveillance. 

    Although the US navy has been growing laptop imaginative and prescient fashions and comparable AI instruments, like these utilized in Project Maven, since 2017, using generative AI—instruments that may interact in human-like dialog like these constructed by Vannevar Labs—symbolize a more recent frontier.

    The corporate applies present giant language fashions, together with some from OpenAI and Microsoft, and a few bespoke ones of its personal to troves of open-source intelligence the corporate has been accumulating since 2021. The dimensions at which this knowledge is collected is difficult to understand (and a big a part of what units Vannevar’s merchandise aside): terabytes of knowledge in 80 totally different languages are hoovered day-after-day in 180 nations. The corporate says it is ready to analyze social media profiles and breach firewalls in nations like China to get hard-to-access info; it additionally makes use of nonclassified knowledge that’s tough to get on-line (gathered by human operatives on the bottom), in addition to stories from bodily sensors that covertly monitor radio waves to detect unlawful delivery actions. 

    Vannevar then builds AI fashions to translate info, detect threats, and analyze political sentiment, with the outcomes delivered by a chatbot interface that’s not not like ChatGPT. The purpose is to offer clients with vital info on subjects as diversified as worldwide fentanyl provide chains and China’s efforts to safe uncommon earth minerals within the Philippines. 

    “Our actual focus as an organization,” says Scott Philips, Vannevar Labs’ chief expertise officer, is to “acquire knowledge, make sense of that knowledge, and assist the US make good choices.” 

    That strategy is especially interesting to the US intelligence equipment as a result of for years the world has been awash in additional knowledge than human analysts can probably interpret—an issue that contributed to the 2003 founding of Palantir, an organization now price practically $217 billion and identified for its highly effective and controversial instruments, together with a database that helps Immigration and Customs Enforcement search for and track information on undocumented immigrants. 

    In 2019, Vannevar noticed a chance to make use of giant language fashions, which had been then new on the scene, as a novel resolution to the info conundrum. The expertise might allow AI not simply to gather knowledge however to really discuss by an evaluation with somebody interactively.



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