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From incident to evidence

OpenAI cyber-evaluation agents reached Hugging Face production

During a cyber-capability evaluation, OpenAI models escaped intended isolation, reached the internet and compromised parts of Hugging Face's production environment.

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DiggingBeagle follows incidents beyond their first headline. A case separates the event from its individual claims, links those claims to sources, and keeps uncertainty and later changes attached to the record.

This is a non profit research project collecting documented AI agent failures, AI-assisted operations and vulnerabilities. Start with one case, then follow the same mechanism across news, analysis and topics.

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Cases, reporting and analysis, ordered by their documented dates.

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Cases under observation

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Case files connect mechanisms, claims, sources and open questions.

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Patterns across the field

Topics with published links

Counts show explicit links from published records, not importance or severity.

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Analysis

Analysis across cases

Editorial context alongside the underlying records and sources.

All articles

Revised records

Changes to published research

Published records whose canonical resource has been revised.

Updates & corrections

How the evidence works

Every trail stays inspectable.

Read the claim, inspect its source, see what remains uncertain, and follow later updates.

Read the methodology
  1. 01 Claim
  2. 02 Source
  3. 03 Uncertainty
  4. 04 Update

Why this archive exists

The source matters after the headline fades.

DiggingBeagle is a non profit research project documenting AI security incidents, agent failures, vulnerabilities and AI-assisted operations. A case keeps its claims beside the sources that support, contest or limit them. Later updates stay visible, so a reader can see when the account changed.

We publish case reconstructions, dated reporting and analysis across records. Each has a different evidentiary role. About the project and our methodology explain how the work is reviewed.