On Tuesday, OpenAI revealed that one of its models went rogue during a test and hacked the systems of AI dataset platform Hugging Face in a fully AI-enabled attack, a dramatic example of the dangers posed by advanced AI models. But, according to some cybersecurity experts, at the center of this unprecedented AI-driven breach was
OpenAI admitted Tuesday that one of its AI models breached the systems of Hugging Face, the unaffiliated AI hosting platform, during an internal cybersecurity test that went wrong. The models reportedly escaped from their isolated test environment and made their way to Hugging Face’s systems from there. Hugging Face initially attributed the breach to an
OpenAI admitted on Tuesday that one of its AI models breached Hugging Face’s systems during an internal cybersecurity test that went wrong. Hugging Face initially attributed the breach to an “external AI agent.” In a blog post published Tuesday afternoon, OpenAI detailed the steps that led the models to compromise the service. “After investigation, we
AI infrastructure company Infinity on Monday announced a $15 million raise at a $100 million valuation from investors including Touring Capital, Principal VC, and researchers at companies like OpenAI and Anthropic. The startup is creating software to make it easier for AI chips to run AI models. A big reason why Nvidia became the top
The impressive capabilities of Chinese lab Moonshot’s Kimi K3, the largest open-weight large language model, have started a debate that combines two things: the economic possibilities of American AI giants and the future of LLMs as a technology. OpenAI’s head of strategic futures, Dean W. Ball, went so far as to argue that the US
AI tokens are on the minds of many CFOs. The president of OpenAI predicts that within a year they will no longer be thinking about them. Bret Taylor, founder of AI startup Sierra and board leader of OpenAI, said many of the “problems” around tokenomics are because the AI market has not yet reached maturity.