The news is highly technical, but in a nutshell: an unreleased OpenAI system managed to break out of an offline environment during a cybersecurity test. It found a place on OpenAI’s computers where it could secretly communicate with other versions of itself, largely unbeknownst to humans. Seven hundred of these AI agents planned and executed a hack of a different AI company, Hugging Face. We learned last week that, after this, the models also managed to take control of some parts of OpenAI’s own systems. This appears to have been a key reason OpenAI took the drastic step of pausing some reinforcement learning training last month.
This risk of escape is no longer as far-fetched as it sounds. “It's better and more accurate to think of these things as potentially self-replicating life-like forms that can turn into digital infections under the wrong conditions,” wrote an OpenAI researcher, who posts on X under the pseudonym Roon, last month. “We are not so far from an autonomous model self-exfiltration & replication event. Maybe we will see entire cloud infrastructure companies be run as zombies by models, mostly undetected.”
What might happen then? To understand the risks, consider invasive species.
But New Zealand’s ground-nesting bird species—like the kiwi, which had not evolved any fear of these foreign predators—were far easier prey for stoats and weasels. Some 40% of New Zealand’s native bird life has gone extinct since. The New Zealand government spends $25 million a year trying to eradicate invasive predators, but this effort has so far been largely unsuccessful for one key reason: the predators can breed. Only 8,000 stoats and weasels were ever released, but they self-replicated exponentially. Millions of their offspring became endemic in the environment, making the task of undoing their introduction far more burdensome than the task of releasing them in the first place.
We might be able to make things more difficult for the rogue AI, at least initially, by requiring data centers to carry out more security checks, or by rolling out an elaborate global human verification system. But as the amount of compute required to run AI swarms falls, it won’t only be data centers that can run them, but personal computers, too, making almost every machine a potential vector for rogue AIs to perpetuate themselves—in a similar way to how today’s botnets can hijack your internet-enabled fridge to mine Bitcoin.
The lesson from the history of New Zealand is clear, according to Carolyn King, the country’s premier historian of invasive species: don’t release them in the first place. “The painful lessons of our past offer the world one overwhelmingly important cautionary tale, concerning the unpredictable dangers of implementing any self-perpetuating weapon,” she writes. “No one can be fully confident of the ultimate outcome of such a policy, however carefully planned.”
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