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To combat theperceptionthat its “ open ” AI is aiding strange antagonist , Metatodaysaid that it ’s making itsLlamaseries of AI models available to U.S. government agencies and contractors in national security .
“ We are proud of to confirm that we ’re making Llama available to U.S. government bureau , including those that are puzzle out on Department of Defense and home security applications , and private sector partners digest their work , ” Meta wrote in a blog office . “ We ’re partner with caller including Accenture , Amazon Web Services , Anduril , Booz Allen , Databricks , Deloitte , IBM , Leidos , Lockheed Martin , Microsoft , Oracle , Palantir , Scale AI , and Snowflake to bring Llama to government agency . ”
Oracle , for example , is using Llama to process aircraft maintenance document , Meta says . Scale AI is fine - tune up Llama to support specific national security team missions . And Lockheed Martin is offering Llama to its defense customers for use cases like generating reckoner code .
Meta ’s insurance unremarkably forbids developer from using Llama for any undertaking associate to military , warfare , or espionage missions . But the fellowship ’s attain an exception in this case , ittoldBloomberg , and exceptions for similar government agencies ( and contractors ) in the U.K. , Canada , Australia , and New Zealand .
Last hebdomad , Reuters reported that Chinese research scientists connect to the People ’s Liberation Army ( PLA ) , the military wing of China ’s ruling party , used an old Llama model , Llama 2 , to develop a instrument for defense lotion . Chinese researchers , including two affiliated with a PLA R&D grouping , create a military - focused chatbot design to get together and process intelligence , as well as offer data for operational decision - qualification .
Meta told Reuters in a program line that the use of the “ single , and outdated ” Llama model was “ unauthorized ” and contrary to its acceptable purpose policy . But the account added much fuel to the ongoing debate over the merits and risks of open AI .
The enjoyment of AI , undecided or “ shut , ” for defense is controversial .
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fit in to a recentstudyfrom the nonprofit AI Now Institute , the AI deploy today for military intelligence agency , surveillance , and reconnaissance poses danger because it bank on personal data point that can be exfiltrated and weaponized by adversary . It also has vulnerabilities , like biases and a leaning tohallucinate , that are currently without remediation , write the co - authors , who urge create AI that ’s separate and isolated from “ commercial ” models .
Employees at several Big Tech companies , includingGoogleandMicrosoft , have protested their employer ’s contracts to build AI puppet and infrastructure for the U.S. military .
Meta assert that open AI can accelerate denial enquiry while advance America ’s “ economic and security sake . ” But the U.S. military has beenslow to sweep up the technology — and unbelieving of its return on invested capital . So far , the U.S. Army is one of thefewbranches of the U.S. armed force with a generative AI deployment .
