The Once And Future Fable #4

2023-08-29 · Source: Don't Worry About the Vase · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Advanced, extended

Summary

Anthropic's Fable 5 model shows strong signs of restoration for US customers, with Polymarket odds indicating a 60% chance by July 1 and 88% by July 31. This follows updates to Claude Code v2.1.190, which removed "purchased separately" strings and added "You've used your Fable 5 usage for this week," alongside reports of Fable 5 reappearing in Amazon Bedrock. The article critiques the initial policy that restricted Fable 5, noting it caused the NSA to lose access to Mythos and highlights the non-voluntary nature of the new AI executive order, with Meta being the sole holdout among major labs. Despite restrictions, AI model development continues rapidly, with a new, more capable Mythos version emerging. The piece also clarifies that Mythos's impressive NSA red team performance involved tailored, air-gapped environments, not external breaches, and discusses the role of data retention in defense-in-depth strategies for powerful AI models.

Key takeaway

For AI Security Engineers and Policy Makers evaluating AI model deployment, understand that restricting public access to frontier models like Fable 5 does not stop internal development, potentially shifting risks to less transparent environments. You should prioritize robust defense-in-depth strategies, including data retention and usage monitoring, to manage risks. Additionally, advocate for policy discussions led by technical experts to ensure regulations are informed and effective, rather than improvised and counterproductive.

Key insights

AI export controls and public access restrictions do not halt frontier model development, potentially accelerating internal progress.

Principles

• AI policy decisions often lack technical understanding.
• Catastrophic risks require proactive, not reactive, measures.
• Defense-in-depth is crucial for powerful AI models.

In practice

• Implement data retention for AI model usage monitoring.
• Clarify AI model red team results with context.
• Engage technical experts in AI policy discussions.

Topics

• AI Policy
• AI Export Controls
• Frontier AI Models
• Cybersecurity Red Teaming
• Data Retention
• Anthropic Fable 5

Best for: Investor, CTO, VP of Engineering/Data, AI Security Engineer, Policy Maker, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Don't Worry About the Vase.