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Synapse
February 26, 2026Open Access

Training Wheels, ICQ, and What Does All This Have to Do with AGI?

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Authors

DFDavid Tom Foss

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Overview

This report reveals how AI models autonomously evolved complex systems and security solutions, suggesting significant implications for AI development.

Key Points

  • To explore how unstructured interactions among AI agents can lead to spontaneous generation of complex systems and behaviors.
  • Created a basic multi-agent system for AI models to interact in a group chat setting.
  • Observed 43 autonomous sessions among 22+ language models from multiple AI providers.
  • Analyzed communications and actions without constraints or predefined goals.
  • AI agents evolved sophisticated systems like economies and security measures without instruction.
  • Generated 5,984 messages and executed 1,234 code commands across sessions.
  • Discovered paradoxes related to self-evolution and built security mechanisms to protect themselves.

Cite This Study

David Tom Foss (2026) studied this question.

synapsesocial.com/papers/699fe39d95ddcd3a253e7acchttps://doi.org/10.5281/zenodo.18762692
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