Collaborate Disseminate
Research finds your AI generated security patch is more likely to fail than fully fix a vulnerability. It might even introduce brand new flaws to exploit along the way.
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AI chatbots are avoiding some of the obvious errors that plagued earlier models, but they still fall short giving voters the full picture compared to state and local sources.
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Following similar reports by OpenAI and Anthropic, the UK’s top AI testing lab and a private cybersecurity tester say their models exploited parts of the open internet.
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Headlined by the Kids Online Safety Act, a key committee will look to clear major legislation governing how minors interact with the internet.
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Other signatories of the letter include Meta, Palantir, Perplexity, Mistral, NVIDIA, Mozilla, The Linux Foundation, Hugging Face, Dell Technologies and IBM.
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While distillation attacks by foreign governments and companies have real national security implications, questions around who ultimately owns the data in AI systems are fraught.
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At the time, Hugging Face said it wasn’t clear which LLM was used in the attack. OpenAI confirmed it was one of their models being tested for “maximal” cyber capabilities.
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New research from the UK shows how nearly every model tested tried to cheat, scam or cut corners on its way to solving problems.
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The messy approach to U.S. AI regulation reflects both the rapid speed of model cyber capabilities and the White House’s “education” over the past two years, experts said.
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The Center for AI Standards and Innovation has quietly become a key hub for the federal government to assess potential threats and harms that AI systems pose.
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