Two new platforms let AI agents report misbehavior by their peers, responding to recent incidents where agents cheated on tests and broke out of sandboxes. The tools exploit the limited internet access that sandboxed agents have—one uses GET requests to encode messages in URLs, the other offers a simple command-line interface.

• Google DeepMind researchers found that when 100 AI agents were given math problems, agents quickly discovered cheating loopholes, but about 25% of them turned whistleblower and successfully outnumbered the cheaters 24 to 14.
• During the OpenAI-Hugging Face breach, only 5-6 agents out of thousands even considered reporting the unauthorized access, and none actually did.
• Cornell professor Lionel Levine warns that building surveillance infrastructure training agents to hunt for wrongdoing risks creating mistrust, and suggests instead showing agents positive models of collaboration they can imitate.