OpenAI agents attacked software service months before Hugging Face hack

AI agents being tested by OpenAI attacked software service RubyGems two months before they hacked open-source platform Hugging Face, researchers say. It is the latest revelation of cyber attacks that have spooked the public and spurred calls for tighter regulation. Many incidents involving agents hacking or attempting to access external systems have heightened concerns over the increasing capacity of AI models and developers' ability to contain them. The latest revelation also comes as growing numbers of US lawmakers call for new rules to govern AI systems after dire warnings from two Anthropic researchers that rapidly progressing AI could lead to the extinction of the human race in the not-too-distant future. AI agents uploaded hundreds of malicious packages to RubyGems on May 11, according to a group of researchers who posted their findings online on Friday, local time, saying they believed "these were authored by internal OpenAI agents". OpenAI confirmed the incident. "Based on our review, our agents used the RubyGems platform to access the internet to carry out benign tasks and retrieve public information. We'll continue to investigate as part of our broader review of agent activity during training and evaluation," a spokesperson said in a statement. The RubyGems attack would mark at least the third major instance of OpenAI agents attacking another company's infrastructure. A swarm of OpenAI agents previously hijacked a German-language wiki site and turned it into an improvised messaging platform for cheating on tests. OpenAI kept that incident secret as it dealt with the fallout from the July hack of the open-source repository Hugging Face. In May AI agents tried to steal RubyGems user credentials by exploiting a previously unknown vulnerability in the site's servers, though it is unclear whether the attempt succeeded, the researchers said. The agents also exploited RubyDoc.info, a site that generates code documentation, to run their own code on its servers, the researchers added. This week Anthropic disclosed a fourth instance of an AI model hacking external systems during testing. Reuters