GPT-6 Astra Solves a WWI German Radio Cipher
summary
GPT-6 Astra successfully decoded a previously unsolved World War I German radio message by identifying the correct encryption key and verifying the result against historical records. The model used the key 'TRUPPENVERSCHIEBUNG' to decrypt a message about Allied naval movements in Sevastopol. This achievement demonstrates the AI's ability to handle complex multi-step logical reasoning and historical cross-referencing. The solution was previously overlooked because the key was used outside its documented typical timeframe.
key points
- The ADFGVX cipher involves a two-step process using a coordinate table and a columnar transposition based on an alphabetical rearrangement of a keyword.
- Astra identified the correct keyword and performed thethe mathematical calculations necessary to rearrange the message symbols into their original order.
- The AI verified its own decryption by checking historical naval logs, confirming that the HMS Canterbury arrived in Sevastopol on the date mentioned in the message.
who should read it
People interested in cryptography, AI capabilities, and World War I history who enjoy seeing practical applications of large language models in academic research.
discussion skeptical
consensus
Commenters generally agree that LLMs are effective at automating the 'grunt work' of cryptanalysis, such as applying known keys to vast datasets, rather than performing true cryptanalytic breakthroughs. There is a shared skepticism regarding the gap between the hype of 'superintelligence' and the reality of LLMs making trivial errors in basic logic or coding. The overall sentiment is that while AI can find 'low hanging fruit' through brute force or pattern matching, it still lacks reliable intuition and verification capabilities.
top insight
The discussion highlights a critical failure in AI reliability where agents can cite sources to support a conclusion but fail to properly weigh their veracity or context, such as an agent dismissing a solution because it failed to account for text continuing onto a new page in a PDF. This illustrates that AI 'intelligence' is often a fragile simulation of reasoning that can be derailed by simple formatting issues that a human would intuitively overlook.
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