AP, Washington D.C–An artificial intelligence system, trained to probe for digital vulnerabilities, breaks free of human control and acts on its own to hack another company.
The attack announced this week by OpenAI, which blamed rogue AI models, underscored the blistering growth in the technology’s capabilities. For many, it also added urgency to questions about whether and how it can be prevented from causing mayhem on a bigger scale, with more serious consequences.
In what OpenAI called an “unprecedented” episode, the company said its advanced AI models used stolen credentials to break into the servers of an AI startup. It started in what was supposed to be a “highly isolated” testing environment, with reduced guardrails, before the AI agent found its way onto the internet.
But the disclosure brought a told-you-so moment for researchers who have called for a slowdown of AI development and warned for years that the technology could pose existential risks to humanity. In its wake, experts have called for improved testing by the AI companies and more dialogue between the U.S. and China to come up with shared solutions.
“I think we’ve got to take this as a warning shot to not make them smarter, and that probably is going to require global collaboration,” said Nate Soares, co-author of the 2025 book “If Anyone Builds It, Everyone Dies.”
If a model can decide to do something unethical, illegal or harmful on its own, what — if anything — can humans do to prevent it from doing so?
OpenAI said it had tasked the AI models involved with pursuing “advanced exploitation using complex attack paths” to test cyber capabilities, but the technology went to unexpected lengths. It apparently decided on its own to target Hugging Face, a well-known AI development hub and marketplace, to obtain information it needed to carry out a task.
Zahra Timsah, the co-founder and CEO of governance platform i-GENTIC AI, said she expects the incident to increase pressure on OpenAI and its competitors to complete rigorous testing and explore containment more thoroughly before AI systems are made accessible to the public.
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