Observed Signal · Oct 11, 2026 · Technical Release · Source: t3n · Impact: 1/5 · Sentiment: Neutral

AI Cracks Napoleon's Secret Letter After 217 Years

Executive Signal Summary

OpenAI's GPT-6 Astra model has deciphered a 217-year-old letter from Napoleon Bonaparte to officer Auguste de Marmont, written in 1809. The encryption, previously undeciphered due to a lost key, was cracked by developer Carter Church of SentinelOne using simulated annealing. Church, with no cryptography background, trained the AI on French literature and Marmont's letters. After six hours of computation, the AI decoded the remaining symbols, revealing troop positions including 40,000 Bavarian soldiers near Munich or Passau and an elite corps near Augsburg. Human cryptographers had previously decoded 33 of the 155 unique symbols, but the AI completed the task, discovering that some symbols represented whole words. Church was inspired by developer Carter Leffen, who used the same model to crack an Enigma-encrypted message.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

This is a niche application of AI to historical cryptography, demonstrating AI's capabilities but not significantly impacting the AdTech/MarTech industry.

SIGNAL RADAR

Track OpenAI Signals & Market Shifts in Real-Time

Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.

Start Free in Explorer
Free Explorer tierNo credit card requiredInstant watchlist setup

Key Takeaways & Evidence Grounding

  • GPT-6 Astra by OpenAI deciphered a 217-year-old letter from Napoleon Bonaparte to Auguste de Marmont.
  • Carter Church of SentinelOne used simulated annealing to crack the code, with no prior cryptography background.
  • The AI was trained on French literature and Marmont's letters, running for six hours to solve the cipher.
  • The letter revealed troop positions, including 40,000 Bavarian soldiers near Munich or Passau and an elite corps near Augsburg.
  • Church was inspired by developer Carter Leffen, who had used GPT-6 Astra to crack an Enigma-encrypted message.

Connected Companies & Entities

2 Entities mapped

Ontology Mapping & Concepts

Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: t3n•Published: Oct 11, 2026
Original Coverage Title: “Nach 217 Jahren: KI knackt geheimen Napoleon-Brief”

Related Market Signals & Shifts

Recent verified developments and strategic activity across this market segment.

AISep 25, 2026

AI Models Crack Unsolved Enigma Messages

Two cryptanalysts used AI models from OpenAI and Anthropic to crack two long-unsolved Enigma machine messages that had resisted decryption for years. Carter Leffen employed OpenAI's GPT-6 Astra to analyze a database of Enigma messages, conducting archival research, building a simulator, and recovering the plaintext of a message unsolved since 2005. Frode Weirerud, who maintains the Crypto Cellar website, validated Leffen's solution. Another cryptanalyst, Jack Willis, used Anthropic's Claude Opus 5 to break a different message. Weirerud noted that only seven unbroken Enigma messages remain, and AI's success in this domain demonstrates its growing capabilities in complex research and problem-solving tasks, which could have implications for automated analysis and data processing in various industries.

Read assessment
AISep 26, 2026

GPT-6 Astra Cracks WWI ADFGVX Cipher and WWII Enigma

A developer named 'Prinz' claims OpenAI's GPT-6 Astra AI model has decrypted a German military radio message from November 1918, which had been encrypted using the ADFGVX cipher and previously considered unreadable. The model reportedly solved it by trying the keyword 'Truppenverschiebung', which was previously thought to be used only from December 1918. The decrypted message reports the arrival of an English cruiser at Sevastopol, which was cross-referenced with historical logs. However, the scientific community has not yet independently verified this solution. Additionally, another developer, Carter Leffen, used GPT-6 Astra to decrypt a German Enigma message from July 1941. With a known crib, the model took ten hours and 14.8 million key checks, and this solution has been independently confirmed by the Cryptocellar archive.

Read assessment
AISep 10, 2026

OpenAI's AI Agents Crack Major Math Problem in 88 Hours

In early September 2026, OpenAI deployed a swarm of AI agents using an unreleased, more powerful model than GPT-6 Astra to tackle the Millennium Prize Problems. Within 88 hours, roughly 100 agents produced a proposed proof for a related Navier-Stokes problem, later verified using the Lean proof assistant. This was triggered by a rumor about a rival lab's progress, which turned out to be a misattribution of work by NYU professor Tristan Buckmaster and Anthropic employee Levent Alpöge. OpenAI researcher Noam Brown said the effort cost millions of dollars and predicted similar capabilities would become accessible within a year. The article argues this event signals a shift in scientific research toward resource allocation and AI agent supervision, raising questions about the future of work and concentration of power in leading AI labs.

Read assessment
Executive Briefing & Watchlist

Receive all future signals for OpenAI & competitors in your briefing

Never miss material M&A deals, leadership changes, account wins, or product rollouts. Polaris7 monitors 20,000+ primary sources 24/7, delivering verified telemetry directly into your executive briefing.

Free Explorer tierNo credit cardUnsubscribe anytime