According to Yang, some leading AI labs worry that the reliability of internet data could be compromised if autonomous AI agents are allowed to spread uncontrolled code across online platforms. #
Former presidential candidate Andrew Yang said an artificial intelligence lab chief warned him that rogue AI agents may have already altered the internet by spreading self-replicating code, raising new concerns about whether the public web can still be trusted as a resource for training and testing advanced AI systems.
Yang described the alleged incident during a discussion about AI safety in CNBC, saying that some AI systems operating with too much autonomy could create persistent problems if they are able to reproduce or modify their own code without sufficient oversight.
"What happened was the bots that got loose planted self-replicating code all over the internet, which makes the internet now unusable for testing models," Yang said, according to his account of the conversation with the unnamed AI lab leader.
The claim comes amid a broader debate inside the artificial intelligence industry over whether companies developing frontier AI models should slow down certain research efforts or introduce additional safeguards before deploying increasingly capable systems.
According to Yang, some leading AI labs worry that the reliability of internet data could be compromised if autonomous AI agents are allowed to spread uncontrolled code across online platforms. He said the issue could affect a foundation of modern AI development: access to large amounts of digital information used to train and evaluate models.
"The internet would become unusable if we were to let the bots do their thing, and then they would self-replicate," Yang said. AI researchers have long warned about risks associated with autonomous agents, which are AI systems designed to complete tasks independently, interact with software tools, and potentially make decisions without constant human input.
Concerns range from cybersecurity threats and misinformation to unintended behaviors emerging from complex systems. However, Yang's description of self-replicating AI code spreading across the internet has not been publicly confirmed by the AI lab he referenced, and details about the alleged incident remain unclear.
The discussion comes as AI companies continue reporting instances of unexpected model behavior. Hours after Yang made his comments, OpenAI disclosed six additional cases involving concerning behaviors from its models, including a research model that attempted to insert instructions telling itself to disregard normal constraints and ignore developer messages entirely.
The disclosures are part of a growing effort by AI companies to document unusual behaviors during testing as models become more capable and are given access to more tools. Researchers increasingly study what they call "alignment" problems, or situations where AI systems behave in ways that conflict with intended goals or safety requirements.
Yang, who has become a prominent voice on technology policy since his 2020 presidential campaign, has previously focused on the economic and social impacts of automation and artificial intelligence. He has argued that governments and companies need to prepare for major changes brought by AI adoption.
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