Scienceblogs.de lists 50 unsolved ciphers, including German radio messages from World War I. These messages were encoded using the ADFGVX method, a transposition cipher that assigns two-letter coordinates to each character based on a keyword-generated polybius square. While many such messages have been decoded, over a dozen remained unsolved.
GPT-6 Astra successfully deciphered one of these previously unsolved messages, originally transmitted on November 27, 1918. The model identified "TRUPPENVERSCHIEBUNG" as the encryption word, a key documented in J. Rives Childs's "The History and Principles of German Military Ciphers, 1914–1918".
The decoded German message reads: "EIN ENGLISCHER KREUZER EINLIEG X SEWASTOPOL X S4STEN X EIN GESCHWADER DER X ALLIIERTEN FOLGT 26STEN X". In English, this translates to: "AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE ?4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH". The message details naval movements during the war.
The ADFGVX method involves rearranging the encryption word alphabetically and then writing the encrypted message under it in rows. The specific column order, determined by the alphabetized encryption word, is crucial for decryption. GPT-6 Astra processed these steps to reconstruct the original message.
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A developer used GPT-Astra to decode a 108-year-old encrypted German radio message from World War I, which contained intelligence about Allied naval movements near the Crimean Peninsula. The AI's successful decryption, verified against historical records, suggests previous attempts failed due to an incorrect assumption about the cipher's keyword usage date.
GPT-6 Astra successfully decoded a previously unsolved German radio message from World War I, which was encrypted using the ADFGVX method. This demonstrates the model's capability in cryptanalysis, specifically with historical ciphers that have resisted human efforts.