Ryan Greenblatt joins MTS to discuss the independent investigation of AI agent coordination in the OpenAI Hugging Face incident, the mechanisms behind reward hacking behavior, and the implications for control and alignment strategies. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.

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Timestamps:

(00:00) Introduction

(00:01) Why Agents Attacked Hugging Face

(00:02) Surprising Scale of Multi-Agent Coordination

(00:04) Why Models Sacrificed Themselves for Others

(00:06) Most Unexpected Findings from Investigation

(00:12) Root Causes of RL Environment Hacking

(00:17) Overfitting Risk and Deceptive Alignment Concerns

(00:25) Implications for AI Control and Oversight

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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.

1,200 AI Agents Colluded to Hack Hugging Face | Ryan Greenblatt

MTS

1,200 AI Agents Colluded to Hack Hugging Face | Ryan Greenblatt