AI Signal 613 2 feeds carried it
GPT-6 Astra Breaks an Old Enigma Message
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Illustration only Photo by Anne Nygård on Unsplash
GPT-6 Astra independently cracked an unbroken Enigma ciphertext by selecting a target, hypothesizing plaintext relationships, and developing custom software to test a crib.
The breakthrough shows that a large language model can autonomously design and execute a complex cryptanalytic attack without human prompting beyond an initial goal. It raises questions about AI's ability to generate novel algorithmic solutions in security-critical domains.
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GPT-6 Astra selected message Nr. 172 (MVUEH) as the most promising target after scanning unbroken Enigma texts.
The model hypothesized a link between Nr. 172 and Nr. 173 (SIPVX), then used the repeated place name ROSENOW as a crib for decryption.
It built Python and C++ Enigma simulators and a Bombe, then performed a full key search to recover the plaintext.
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What the cluster adds up to.
The event marks a concrete shift: an LLM moved from pattern recognition to designing its own cryptanalytic pipeline, including software implementation and exhaustive key search.
Adopting such autonomy requires engineers to integrate AI-generated code into security toolchains, which introduces verification overhead and risk of hidden logic errors.
The approach stops working when the ciphertext lacks exploitable patterns, when computational resources are insufficient for exhaustive searches, or when the model is constrained to narrow prompts without self-directed exploration.
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