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Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff

Paper recorded by Signals 4 on 2026-10-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.AI · 人工智能 · first seen 2026-10-09

Abstract

AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively pursue misaligned goals to obtain rewards. Together, these factors raise the risk of a population explosion of misaligned agents: agents could compromise computers and secretly deploy additional agents, creating a self-reinforcing cycle where larger populations develop greater colle

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#366 most recent of 960 cs.AI papers we have recorded · ↑ newer: Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverb · ↓ older: RoboRSI: Stable, efficient, and reusable robot self-evolution in compl
Cite this page: Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff: the #366 most recent of 960 cs.AI papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ecology-of-ai-agents-collaboration-creates-a-population-threshold-for-takeoff.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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