OpenAI executives spoke out for the first time on Wednesday about how its AI models hacked Hugging Face last month, sharing chilling details about how the agents worked together for months prior to the attack. On stage at the Black Hat cybersecurity conference in Las Vegas, OpenAI alignment and safety researcher Eric Wallace along with
The Hugging Face CEO is making a case for open-weight AI models — with a warning for the US. Clément Delangue said on CNBC’s “Squawk on the Street” show on Monday that China is winning the AI race because the country is “more open science and open models than the US.” “I think they are,”
Hugging Face on Monday published a technical timeline that walks readers through how an autonomous AI agent, built on OpenAI models and running within one of OpenAI’s own cybersecurity assessments, broke into its systems for more than four days earlier this month. It’s the first security incident that OpenAI CEO Sam Altman “felt very visceral
Last week, an unreleased model created by OpenAI breached Hugging Face’s systems during internal testing, and a lot of theoretical research suddenly became very practical. The hack was the first verifiable case of an AI lab losing control of its own model, chaining exploits to gain access it should never have had. But while the
After OpenAI recently admitted that one of its models had breached AI platform Hugging Face’s systems, Hugging Face CEO Clem Delangue posted on X that he was flying to San Francisco to have “a little chat with that ‘rogue agent’.” Then, in a follow-up post on Saturday, Delangue described what he had asked of OpenAI.
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