AI Models Crack Long-Unsolved Enigma Messages
Quick Look
Cryptanalysts used LLMs from OpenAI and Anthropic to decode two previously unsolved Enigma-encrypted messages from World War II, with one model conducting autonomous archival research and the other guided by a known officer's name, leaving only seven unbroken messages remaining.
AI-generated summary
Why It Matters
Alan Turing's Bombe machine helped the UK decrypt Enigma messages during WWII, but some archival messages remained unbroken due to encoding errors or mistranscription.
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’ve cracked two long-unsolved messages encoded by Enigma machines using LLMs 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 –usually due to mistranscription or errors by the original encoders.
Carter Leffen, a developer, simply 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.
Frode Weirerud, 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, Weirerud 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 aren’t hosted by Weirerud. He still isn’t 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.
“GPT–6 Astra is behaving like a very professional cryptanalyst and archive researcher,” he wrote. “What it has achieved in two days would take a human researcher weeks or even months. Personally, I spent several weeks researching the Bundesarchiv files GPT–6 Astra refers to.”
On September 21, another cryptanalyst, Jack Willis, reached out to Weirerud, 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.
Weirerud 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.
Perhaps not for long.
What to Watch
AI outlook — possibilities, not facts
More of the remaining seven unbroken Enigma messages will be decoded using LLMs within the next few months.
Likely · Within months
Open Questions
- Did the AI model access private or government archives not available to the public?
- How many of the remaining seven unbroken Enigma messages might be solved using similar AI methods?
- What specific archival research did the Astra model conduct to find context clues?







