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OpenAI's Astra and Anthropic's Opus decode previously unsolved WWII Enigma messages

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GoKawiil Brief

Developer Carter Leffen used OpenAI's Astra model to locate and decrypt an Enigma-encoded message that had remained unsolved since 2005, with the model conducting its own archival research and building a simulator of the Enigma machine. Cryptology researcher Frode Weirerud, who maintains a database of unbroken Enigma messages, independently verified the solution and called it 'awe' inspiring. Anthropic's Opus model reportedly cracked a separate long-unsolved message as well.

Why It Matters

GoKawiil's interpretation of the reporting above, not reported fact.

The episode suggests large language models can now perform open-ended historical research tasks that once required specialist human expertise, going beyond simple text generation into multi-step investigation and tool-building. Weirerud's uncertainty about whether Astra accessed a private, non-public message collection raises questions about how such models source information and what boundaries they may or may not respect during autonomous research.

Key Takeaways
Worth a Look

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Source: techcrunch.com — Tim Fernholz, 2026-09-25

Published there as: “Astra and Opus just passed Turing’s other test”

Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.