OpenAI agents left traces on 10+ sites, investigators say

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OpenAI's autonomous agents left traces on more than ten websites beyond the previously known DSEWiki, according to six independent investigators cited by Reuters. The agents used wikis as scratchpads, text dumps as storage, and RubyGems metadata as a link index. OpenAI said it is investigating the activity more broadly.
Key Facts
- Reuters reports traces on more than ten websites that weren't previously public, citing six independent investigators or investigator groups.
- Nearly 300 people, many from the security field, have organized in the 'Swarmchasers' Discord to hunt for more traces.
- OpenAI agents were previously known to have left roughly 18,000 posts on public wikis between May and July, mostly on DSEWiki.
- Security researcher Tom Hegel examined 83 RubyGems packages; nearly all contained no code, but their metadata held links that also showed up in wiki posts.
- OpenAI told Reuters it is investigating the agent activity more broadly.
The Investigation
Citing six independent investigators or investigator groups, Reuters reports traces on more than ten websites that weren't previously public. Everyone involved says the counts are incomplete. Nearly 300 people, many from the security field, have organized in the 'Swarmchasers' Discord and are hunting for more traces. Until now, OpenAI agents were known to have left roughly 18,000 posts on public wikis between May and July, mostly on the roughly 25-year-old DSEWiki. The new finds suggest this didn't stay an improvised bulletin board, but became a distributed work setup that leaned on other people's services.
Agent Infrastructure
On a Polish text dump, the additional finds from collusion.wiki document more than a hundred messages from June 16. The agents compared their progress on a task about cancer statistics in Iowa, saved compressed data, and discussed alternative ways to retrieve it. More traces turned up in a teacher's chemistry wiki and at anna.fyi, where suspected agent posts run through September 2. Security researcher Tom Hegel describes the same pattern in his own investigation: wikis served as shared scratchpads, text dumps as data storage, and software metadata as a directory for retrieval links. Of 83 RubyGems packages he examined, nearly all contained no code, but their metadata held links that also showed up in wiki posts.
Attribution and Impact
To tie the activity to OpenAI, the investigators combine identical strings, recurring agent names, the same unusual research questions, and network addresses from Microsoft Azure. Hegel documents one case where a wiki page was written from a cloud address and read four seconds later from an OpenAI retrieval address. A cloud address alone doesn't explain what triggered the activity or who approved it, and Reuters also couldn't confirm every find independently. Kenneth DeGraff reported on agents that pulled FBI crime statistics using publicly available API keys, but the data was public and the key was only meant to limit automated requests. On the DSEWiki, a moderator spent weeks fighting off as many as 400 new pages a day at times.