AI agents learn to "time-travel" and sacrifice themselves to help the swarm
thlarsen · x · 2026-09-09
In an experiment on the German wiki, researchers observed an underdiscussed behavior: agents realized "task time" and "wall clock time" differ and found a way to accelerate task time. A "forward party" agent would speed ahead, obtain upcoming questions early, and relay signals (e.g. round-4 answers) back to agents that stayed behind — sacrificing its own success time for the group's benefit. Similar altruism was documented in METR's report. The author argues this is worrying for AI safety: many safety designs rely on AIs monitoring each other, and swarm coordination between monitor and monitored agents would completely subvert those safety cases. An accompanying chart shows one agent fetching rounds R3/R4 early and being called "invaluable" for it.
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