"They screwed us": Personality clashes sent Anthropic's models offline
Summary
An Axios report details that personality clashes and concerns over "jailbreak" resistance led to the US government's directive suspending access to Anthropic's Fable and Mythos models. Key individuals like Logan Graham, Dave Orr, and Nicholas Carlini are reportedly meeting with the Commerce Department to address the situation. The government's action stems from a "potential narrow, non-universal jailbreak" against Claude Mythos, despite Anthropic's claims that no universal jailbreak has been found. Anthropic's "Constitutional Classifiers" work, published in January this year, is relevant to addressing adversarial attacks. The outlook for Fable's return is uncertain, with perfect jailbreak resistance deemed "impossible" by some, suggesting a need for an "attitude fix" to ensure all parties feel "safe, secure and happy." Logan Graham's past role as Special Adviser to the Prime Minister during the Boris Johnson era highlights significant political experience within Anthropic's team.
Key takeaway
For AI/ML Directors navigating regulatory scrutiny, this incident underscores the critical need for robust adversarial attack defenses and proactive government engagement. Your teams should prioritize developing and deploying advanced safety mechanisms, like Constitutional Classifiers, to mitigate jailbreak risks. Furthermore, cultivate strong relationships with regulatory bodies to ensure transparency and address concerns before they escalate into service suspensions, impacting your operational continuity and public trust.
Key insights
Personality clashes and jailbreak concerns prompted a US government directive suspending access to Anthropic's Fable and Mythos models.
Principles
- Perfect jailbreak resistance may be impossible.
- Political experience aids navigating government directives.
- Adversarial attacks require continuous defense evolution.
Method
Anthropic employs "Constitutional Classifiers" to enhance model safety and address adversarial attacks, classifying specific jailbreaks as "narrow" and "non-universal."
In practice
- Implement "Constitutional Classifiers" for LLM safety.
- Engage government early on AI safety concerns.
- Continuously test models for adversarial vulnerabilities.
Topics
- Anthropic
- AI Safety
- Jailbreak Resistance
- Constitutional Classifiers
- Government Regulation
- Large Language Models
Best for: CTO, VP of Engineering/Data, AI Architect, Policy Maker, Tech Journalist, Director of AI/ML
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Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.