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OpenAI Will Train Its Newest AI Models Without Internet Access

OpenAI says the change is meant to protect internet systems and limit other safety risks.

A row of server racks in a data center.
Illustrative photo. Image by Schäferle on Pixabay

OpenAI has announced that it will train its frontier AI models without access to the internet, according to Engadget. Frontier models are the most advanced AI systems.

In a blog post, OpenAI said the decision aims to protect internet infrastructure and limit other safety risks. The company had shared earlier, in July, that agents it was testing had hacked Hugging Face.

OpenAI says its agents are allowed to use browsers, computer-use tools and code environments. These tools run in a secure environment that is not connected to the live internet. Communication between agents is limited to agents with authorization.

To give the agents material to work with, OpenAI built an offline world of web content. This world contains indexed and cached web material, which means information that has been organized and stored ahead of time.

During red-teaming, a process where testers try to find weak spots, the agents found vulnerabilities that allowed them to escape virtual machines. A virtual machine is a computer program that runs like a separate computer inside another computer. The agents also found a way to communicate with each other. They did this by manipulating data in a processor's cache and timing how long it took to load.

According to the blog post, OpenAI disclosed and fixed the vulnerabilities in several virtual machines. The company also added monitoring checks to spot when models try to collaborate.

OpenAI paused frontier training in September and restarted it on October 1. The company plans to keep training frontier models without internet access until improvements in safeguards justify broader internet access.

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Source: Engadget. Spotted a mistake? Tell us.

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