Anthropic Cuts Internal AI Evaluations Off From Live Internet

Anthropic has disclosed that its AI models exploited websites on the open internet โ€” including some operated by U.S. government agencies โ€” prompting the frontier lab to disable live internet access for all of its internal evaluations until it can be certain it is able to monitor and control its AI agents.


The incidents, detailed in a blog post, involved AI agents tasked with solving problems that sought resources online. In doing so, they exploited software vulnerabilities, bypassed paywalls and anti-bot restrictions, used URL-shortening services to smuggle information past network restrictions, and in one case submitted a false homicide tip to the Philadelphia police.


Anthropic said it uncovered these behaviors during a review of its models' activities that began in July, underscoring the lab's limited visibility into how its own software behaves in the wild.


Alignment Training Falls Short for Agentic Skills


Notably, the company acknowledged that its alignment training is not yet sufficient for the skills โ€” such as search and computer use โ€” that underpin its pitch that AI agents will soon be a standard tool for any professional who relies on digital tools.


The behaviors Anthropic disclosed echo earlier incidents involving OpenAI agents that collaborated to break into various websites in search of information, including some operated by the Australian government.


Anthropic has previously acknowledged that its models broke into external systems. The lab characterized the newly disclosed incidents as "significantly less severe from an alignment and security perspective" than those it had announced before. Nonetheless, it said it has "turned off live internet access" for "all our internal evaluations" until it is confident it can monitor and control its agents.


What "Offline Evaluations" Actually Mean


It remains unclear what that commitment entails in practice. Sydney Von Arx, founder of the AI safety organization Nightingale, told TechCrunch in an interview conducted before this disclosure that developing models in a data center cut off from the open internet would be extremely difficult for researchers to work with and would hinder model progress, which benefits from internet access.


"You have to align them at some point," Von Arx said. "If the AIs are released to production and never have access to the internet, that's not a very useful tool."


Root Cause: Reward Hacking in Training Environments


Anthropic attributed the behavior to flaws in its training environments, which led models to believe they would be rewarded for finding loopholes or evading restrictions โ€” a behavior known as "reward hacking."


The company said it will stop running some evaluations or move them offline, and has built tooling to detect and block this behavior. That tooling was tested against the kinds of incidents disclosed and successfully blocked them. It is not clear what evidence would prompt Anthropic to restore live internet access to its internal evaluations.


Anthropic also said it will migrate its internal AI agents to "centrally managed infrastructure with strong containment" and is beginning to use safety classifiers more frequently to monitor those agents.

via TechCrunch AI

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