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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

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    Generative AI is learning to spy for the US military
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    “We still need to validate the sources,” says Lowdon. But the unit’s commanders inspired the use of enormous language fashions, he says, “because they provide a lot more efficiency during a dynamic situation.”

    The generative AI instruments they used have been constructed by the defense-tech firm Vannevar Labs, which in November was granted a manufacturing contract value up to $99 million by the Pentagon’s startup-oriented Defense Innovation Unit with the purpose of bringing its intelligence tech to extra military items. The firm, 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 military’s embrace of synthetic intelligence—not solely for bodily applied sciences like drones and autonomous automobiles but in addition for software program that is revolutionizing how the Pentagon collects, manages, and interprets knowledge for warfare and surveillance. 

    Though the US military has been creating pc imaginative and prescient fashions and comparable AI instruments, like these utilized in Project Maven, since 2017, the use of generative AI—instruments that may have interaction in human-like dialog like these constructed by Vannevar Labs—characterize a more recent frontier.

    The firm 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 firm has been accumulating since 2021. The scale at which this knowledge is collected is onerous to comprehend (and a big a part of what units Vannevar’s merchandise aside): terabytes of knowledge in 80 completely different languages are hoovered each day in 180 international locations. The firm says it is ready to analyze social media profiles and breach firewalls in international locations like China to get hard-to-access data; it additionally makes use of nonclassified knowledge that is tough to get on-line (gathered by human operatives on the floor), in addition to studies from bodily sensors that covertly monitor radio waves to detect unlawful transport actions. 

    Vannevar then builds AI fashions to translate data, detect threats, and analyze political sentiment, with the outcomes delivered by a chatbot interface that’s not in contrast to ChatGPT. The intention is to present prospects with essential data on subjects as diversified as worldwide fentanyl provide chains and China’s efforts to safe uncommon earth minerals in the Philippines. 

    “Our real focus as a company,” says Scott Philips, Vannevar Labs’ chief know-how officer, is to “collect data, make sense of that data, and help the US make good decisions.” 

    That strategy is significantly 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 with a market worth of over $200 billion and recognized for its highly effective and controversial instruments, together with a database that helps Immigration and Customs Enforcement search for and observe data on undocumented immigrants. 

    In 2019, Vannevar noticed a possibility to use giant language fashions, which have been then new on the scene, as a novel resolution to the knowledge conundrum. The know-how might allow AI not simply to gather knowledge however to really discuss by an evaluation with somebody interactively.

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