OpenAI Model Deciphers Historic Napoleonic Military Cipher
An artificial intelligence model successfully decoded a 217-year-old letter sent by Napoleon Bonaparte.
Updated on Oct. 24, 2026 in Artificial Intelligence
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An OpenAI model has successfully deciphered a 217-year-old military letter written by Napoleon Bonaparte. The AI analyzed a scan of the encrypted document, which contains a war briefing regarding French army positions.
Why it matters
The successful decryption demonstrates how advanced AI can solve complex historical puzzles that have remained locked for centuries. Napoleon originally used the cipher to protect sensitive communications from enemy interception.
The AI model identified 155 unique signs across 24 lines of symbols using a simulated annealing solver. The entire verification process for the 1,300 hand-drawn marks was completed in six hours.
The players
Napoleon Bonaparte
He was a French military leader and emperor who sent this encrypted dispatch to his general.
Auguste de Marmont
He was a French general stationed in Dalmatia who was the intended recipient of the secret briefing.
OpenAI
The artificial intelligence research organization whose model was used to process and decode the historic marks.
The details
The model systematically cross-referenced proposed sign values against every occurrence within the scanned image. This methodology allowed the AI to translate the encrypted war briefing sent from Paris to General Auguste de Marmont in Dalmatia.
Timeline
March 16, 1809: Napoleon wrote the military letter.
1969: A French Army journal published the original cipher scan.
October 2026: The report on the successful cipher solution was published.
The Tech Race
The successful decryption of this document highlights the rapid evolution of AI pattern recognition in humanities research. This technology effectively replaces manual cryptanalysis methods, positioning modern models as essential tools for digitizing and understanding historical archives.
This development showcases how AI models can quickly organize and translate dense data, suggesting future applications in historical research and document analysis. Users may see these tools increasingly used to unlock public access to previously unreadable archival content.
The takeaway
The successful use of AI to solve a centuries-old cipher underscores the growing intersection between computational power and historical preservation. Researchers and enthusiasts can look to AI-driven solvers to help decode other long-standing mysteries hidden in archived manuscripts.
Further reading
For more information on the latest developments in machine learning capabilities, visit the Artificial Intelligence section.
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