OpenAI болон Anthropic компанийн том хэлний загварууд Enigma машины шифрлэгдсэн мессежүүдийг тайлж, криптографийн шинэ боломжийг харууллаа
Хөгжүүлэгч Картер Леффен OpenAI-ийн Astra загварыг ашиглан 2005 оноос хойш тайлагдаагүй байсан Enigma машины нууц мессежийг амжилттай тайлжээ. Уг загвар нь архив судалгаа хийж, контекст сэжүүрүүдийг олж, Enigma машины симуляторыг бүтээх замаар анхны текстийг сэргээсэн байна. Криптологийн судалгаа эрхэлдэг Фроде Вайреруд уг шийдлийг баталгаажуулж, хиймэл оюун ухааны гүйцэтгэлийг өндрөөр үнэлжээ.
Есдүгээр сарын 21-нд өөр нэг криптографч Жэк Уиллис Anthropic-ийн Claude Opus 5 загварыг ашиглан өөр нэг тайлагдаагүй мессежийг задалсан байна. Уиллис загварт тодорхой зааварчилгаа өгч, офицерийн нэрийн гарын үсгийг ашиглах замаар кодыг тайлах боломжийг бүрдүүлжээ.
Одоогоор Enigma машины тайлагдаагүй нийт долоон мессеж үлдээд байгаа бөгөөд нэг мессежийн анхны текст тодорхой боловч код нь тайлагдаагүй хэвээр байна. Шинжээчдийн үзэж байгаагаар, хүнээс хэдэн долоо хоног эсвэл сар шаардах ажлыг хиймэл оюун ухаан ердөө хоёр хоногийн дотор гүйцэтгэж байгаа нь энэ салбарт шинэ эргэлт болж байна.
Дэлгэрэнгүйг эх сурвалжаас харах
↓Эх сурвалжийг нээх ↓
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.
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.
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