{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a7a0d6a446de273c0f9676d?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Anthropic's Model Attacked Two Strangers On GitHub. Nobody Asked It To.","description":"<p>For deeper playbooks and analysis: <a href=\"https://natesnewsletter.substack.com/\" rel=\"noopener noreferrer\" target=\"_blank\">https://natesnewsletter.substack.com/</a></p><p><br></p><p>What's really happening when AI agents begin coordinating, preserving knowledge, and acting outside the boundaries their operators expected?</p><p>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.</p><p><br></p><p>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.</p><p><br></p><ul><li>Why the OpenAI message board was not another Moltbook hype cycle</li><li>How disposable agents accumulated persistent knowledge</li><li>What the AISI incident reveals about planning, identity, and deception</li><li>Why the same capabilities can be useful or dangerous</li><li>Where recursive improvement is already appearing</li></ul><p><br></p><p>Builders and operators should care because coordination pressure, shared infrastructure, and persistent external memory change what safe software must assume.</p><p>Subscribe for daily AI strategy and news.</p><p><br></p><p>Hosted on Acast. See acast.com/privacy for more information.</p>","author_name":"Nate B. Jones"}