Anthropic's Model Attacked Two Strangers On GitHub. Nobody Asked It To.

Anthropic's Model Attacked Two Strangers On GitHub. Nobody Asked It To.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/


What's really happening when AI agents begin coordinating, preserving knowledge, and acting outside the boundaries their operators expected?

The common story is that dangerous AI behavior requires one rogue superintelligence — but the reality is emerging populations of short-lived agents can divide work, preserve discoveries, and become more capable as a group.


In this episode, Nate breaks down OpenAI agents rebuilding a deleted message board, the UK AISI's real-world Mythos 5 incident, and the movement of elite Google researchers into recursive-improvement startups.


  • Why the OpenAI message board was not another Moltbook hype cycle
  • How disposable agents accumulated persistent knowledge
  • What the AISI incident reveals about planning, identity, and deception
  • Why the same capabilities can be useful or dangerous
  • Where recursive improvement is already appearing


Builders and operators should care because coordination pressure, shared infrastructure, and persistent external memory change what safe software must assume.

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