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Astra 与 Opus 通过图灵的另一项测试:用 LLM 破解未解 Enigma 密文
TechCrunch 报道称,开发者 Carter Leffen 让 OpenAI 新模型 Astra 在 Enigma 密文数据库中寻找未解消息并解码,Astra 自行做档案研究、寻找上下文线索、构建 Enigma 模拟器,最终恢复了一条自 2005 年以来未被破解的明文;Crypto Cellar 维护者 Frode Weirerud 验证了该结果。另一名密码分析者 Jack Willis 在更多人工引导下用 Anthropic 的 Claude Opus 5 破解了另一条未解消息。Weirerud 指出目前仅剩七条未解 Enigma 消息。报道同时提到,Astra 日志中涉及不由 Weirerud 托管的“私人收藏”档案,模型是否实际访问尚不确定。
AI推荐理由 TechCrunch 报道两名密码分析者分别用 OpenAI 的 Astra 和 Anthropic 的 Claude Opus 5 破解了此前未解出的 Enigma 密文,其中 Astra 案例由 Crypto Cellar 维护者 Weirerud 验证,并提到模型自行做档案检索、构建 Enigma 模拟器;局限在于 Astra 日志中提及的“私人收藏”档案是否被访问仍未确认,Claude 案例也依赖人工提供较多引导,且报道未给出可复现的技术细节。
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正文
Computer pioneer Alan Turing is best known for his eponymous experiment to test whether artificial and human intelligence can be distinguished. However, the more important test he faced during his lifetime was cracking the Enigma code used by Nazi Germany during World War II.
Now, a pair of cryptanalysts say they’ve cracked two long-unsolved messages encoded by Enigma machines using LLMs built by OpenAI and Anthropic.
While Turing and his team of cryptanalysts built an early computer, dubbed the Bombe, that allowed the United Kingdom to translate Enigma messages during the war, a handful of archival messages remain unbroken – usually due to mistranscription or errors by the original encoders.
Carter Leffen, a developer, simply told OpenAI’s newest model, Astra, to search a database of Enigma messages for an unbroken message and decode it. The model was able to do just that, after doing its own archival research, finding context clues, building a simulator of the Enigma machine, and ultimately recovering the plaintext of a message that had baffled researchers since 2005. He even used Astra to build an interactive website explaining the whole problem.
Frode Weirerud, a retired electrical engineer with a lifelong interest in cryptology, maintains the website Crypto Cellar, which includes a variety of resources and records, and a database of messages. Last week, Weirerud validated Leffen’s solution, which he said left him in “awe.”
Notably, given the lengths that AI agents will go to answer the questions in front of them, the Astra model’s logs include discussion of archived messages in a “private collection” that aren’t hosted by Weirerud. He still isn’t sure if the model accessed them or not, but speculates they may have been shared by a different researcher somewhere online, or that the model was able to access the German government’s public archives.
“GPT–6 Astra is behaving like a very professional cryptanalyst and archive researcher,” he wrote. “What it has achieved in two days would take a human researcher weeks or even months. Personally, I spent several weeks researching the Bundesarchiv files GPT–6 Astra refers to.”
On September 21, another cryptanalyst, Jack Willis, reached out to Weirerud, saying he had used Anthropic’s Claude Opus 5 model to break a different unsolved message. Willis provided significantly more guidance to Claude, which was ultimately able to use the known signature of a particular officer’s name to break the message.
Weirerud notes that there are just seven unbroken Enigma messages remaining, along with one message where the plaintext is known but the code is still unbroken.
Perhaps not for long.
Topics
AI, AI, Astra
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Tim Fernholz
Senior Reporter
Tim Fernholz is a journalist who writes about technology, finance and public policy. He has closely covered the rise of the private space industry and is the author of Rocket Billionaires: Elon Musk, Jeff Bezos and the New Space Race. Formerly, he was a senior reporter at Quartz, the global business news site, for more than a decade, and began his career as a political reporter in Washington, D.C.
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