Astra Helps Decode an Enigma Message Unsolved Since 2005
OpenAI’s Astra conducted archival research, built an Enigma simulator, and recovered plaintext that cryptology researchers had been unable to decode since 2005.

Key takeaways · 3
- 01
Astra combined archival research, contextual clues, simulation, and decoding rather than producing a single direct answer.
- 02
Frode Weirerud validated Leffen’s solution and compared Astra’s behavior to that of a professional cryptanalyst.
- 03
Review agent access logs when source provenance is uncertain, particularly where private collections may be involved.
How Astra Cracked It
Developer Carter Leffen asked OpenAI’s newest model, Astra, to search a database of Enigma messages for an unbroken message and decode it. [1] Astra conducted archival research, found context clues, built an Enigma-machine simulator, and recovered the plaintext of a message that had resisted researchers since 2005. [1] Frode Weirerud, a retired electrical engineer who maintains the Crypto Cellar database, validated Leffen’s solution last week and said it left him in “awe.” [1]
The model’s logs discussed archived messages in a “private collection,” although Weirerud remained unsure whether Astra accessed them and speculated that they might have appeared online or in German public archives. [1] According to Weirerud, Astra behaved like a professional cryptanalyst and archive researcher, achieving in two days work that would take a human weeks or months. [1]
What it means
The result matters less as a blanket verdict on AI intelligence than as a demonstration of a bounded research workflow: locating records, extracting context, constructing a simulator, and testing a decode. Relative to the weeks or months Weirerud said a human might need, Astra completed the work in two days, but uncertainty over whether it reached a private collection complicates assessment of its methods and provenance. What the sources don't address: how Astra obtained the possibly private archival material or whether the workflow can reliably decode other unresolved messages.
The case demonstrates an AI agent combining archive search, contextual analysis, simulation, and decoding within one research task. Practitioners should scrutinize access logs and source provenance when autonomous systems may have reached material from unclear collections.
Why it matters
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Start freeHow this developed
25 September 2026
Astra Helps Decode an Enigma Message Unsolved Since 2005
25 September 2026
Event created from source cluster.
Sources
- Astra and Opus just passed Turing’s other testTechCrunch AI