OpenAI and Anthropic Models Decode Long-Unsolved Enigma Messages
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OpenAI and Anthropic Models Decode Long-Unsolved Enigma Messages

TechNews Editorial
TechNews EditorialSep 27, 2026 · 2 min read
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Why it matters

These achievements demonstrate that advanced AI models can complete complex archival research and cryptanalysis tasks in days instead of weeks or months.

The facts

  • Developer Carter Leffen used OpenAI model Astra to decode an Enigma message that baffled researchers since 2005.
  • Cybersecurity executive Jack Willis used Anthropic model Claude Opus 5 to break a different unsolved message on September 21.
  • Cryptanalyst Frode Weierud validated both solutions and noted that only seven unbroken Enigma messages now remain.

Computer pioneer Alan Turing is best known for his eponymous experiment to test whether artificial and human intelligence can be distinguished. However, the more important test he faced during his lifetime was cracking the Enigma code used by Nazi Germany during World War II. Now, a pair of cryptanalysts say they have cracked two long-unsolved messages encoded by Enigma machines using large language models built by OpenAI and Anthropic.

While Turing and his team of cryptanalysts built an early computer, dubbed the Bombe, that allowed the United Kingdom to translate Enigma messages during the war, a handful of archival messages remain unbroken. These unbroken messages are usually due to mistranscription or errors by the original encoders.

Astra decoded a message that baffled researchers

Developer Carter Leffen told OpenAI's newest model, Astra, to search a database of Enigma messages for an unbroken message and decode it. The model was able to do just that after doing its own archival research, finding context clues, building a simulator of the Enigma machine, and ultimately recovering the plaintext of a message that had baffled researchers since 2005. He even used Astra to build an interactive website explaining the whole problem.

Frode Weierud, a retired electrical engineer with a lifelong interest in cryptology, maintains the website Crypto Cellar, which includes a variety of resources and records and a database of messages. Last week, Weierud validated Leffen's solution, which he said left him in awe.

Notably, given the lengths that AI agents will go to answer the questions in front of them, the Astra model's logs include discussion of archived messages in a private collection that are not hosted by Weierud. He still is not sure if the model accessed them or not, but speculates they may have been shared by a different researcher somewhere online, or that the model was able to access the German government's public archives.

A retired researcher compares an AI research dossier with archival documents, raising his eyebrows as matching source details confirm the findings.
Illustration: AI & Tech News

GPT-6 Astra is behaving like a very professional cryptanalyst and archive researcher, Weierud wrote. What it has achieved in two days would take a human researcher weeks or even months. Personally, he spent several weeks researching the Bundesarchiv files GPT-6 Astra refers to.

Claude Opus 5 broke a different unsolved message

On September 21, another cryptanalyst, cybersecurity executive Jack Willis, reached out to Weierud, saying he had used Anthropic's Claude Opus 5 model to break a different unsolved message. Willis provided significantly more guidance to Claude, which was ultimately able to use the known signature of a particular officer's name to break the message. Weierud notes that there are just seven unbroken Enigma messages remaining, along with one message where the plaintext is known but the code is still unbroken.

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