Editorial illustration for GPT-5.6 Helps Two Teams Solve Quantum Crypto Puzzle Within Hours
GPT-5.6 Cracks Quantum Crypto Problem in Hours
GPT-5.6 Helps Two Teams Solve Quantum Crypto Puzzle Within Hours
Two arXiv submissions landed three hours apart, tackling the same unsolved problem in quantum cryptography, and both leaned on the same AI model to get there. MIT PhD student Seyoon Ragavan worked the problem alone. On the other side, UC Santa Barbara's Prabhanjan Ananth and UCLA's Amit Sahai teamed up.
Neither group knew about the other's work until the papers were already public. Both used OpenAI's GPT-5.6 Sol Ultra, and both were chasing a solution to "unclonable encryption," a scheme built on quantum properties that resist copying. Scientific American first reported the overlap, and the researchers involved are now talking about merging their papers rather than racing to claim priority.
The coincidence points to something bigger shifting under the surface of math and theoretical computer science. When the same AI model is available to anyone working on the same hard problem, the line between independent discovery and parallel computation gets blurry fast. Ananth and Ragavan have both talked publicly about how the tool has changed their daily research habits, not just the pace of their output. What that means for credit, originality, and how the field verifies results is still being worked out.
AI is changing how science gets done. Two researchers independently solved the same open quantum cryptography problem using OpenAI's GPT-5.6 Sol Ultra, submitting their papers to arXiv.org just three hours apart, Scientific American reports.
Why this matters
Two independent teams reaching the same proof within three hours of each other, using the same model, tells us something about where the bottleneck in research has moved. Seyoon Ragavan at MIT and the Ananth-Sahai duo at UCSB and UCLA weren't racing against each other on purpose. They were both racing against GPT-5.6 Sol Ultra's output speed, and the model won either way.
For researchers, that's worth sitting with: the hard part of quantum cryptography didn't get easier, but the time between "stuck" and "solved" collapsed to hours instead of months. For founders building tools on top of frontier models, this is the kind of anecdote that will get cited in every pitch deck for the next year, so it's worth asking what part of the proof the model actually generated versus what it merely accelerated. Scientific American frames this as a shift in how science gets done.
We'd frame it as a shift in who gets credit, who verifies the math, and whether journals and arXiv moderators are ready for simultaneous submissions like this becoming routine.
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Common Questions Answered
What quantum cryptography problem did both research teams solve using GPT-5.6 Sol Ultra?
Both teams independently solved the unclonable encryption problem, which is an unsolved scheme in quantum cryptography. This represents a significant breakthrough in the field, as unclonable encryption has been a challenging theoretical problem that required advanced AI assistance to crack.
How did MIT's Seyoon Ragavan and UC Santa Barbara's Prabhanjan Ananth approach the same problem differently?
Seyoon Ragavan worked on the problem alone as an MIT PhD student, while Prabhanjan Ananth from UC Santa Barbara and Amit Sahai from UCLA collaborated as a team. Despite their different approaches and the fact that neither group knew about the other's work, both teams submitted their arXiv papers just three hours apart using the same AI model.
What does the near-simultaneous solution by two independent teams reveal about the research bottleneck?
The fact that two separate teams reached the same proof within three hours of each other suggests that the bottleneck in quantum cryptography research has shifted from the theoretical difficulty of the problem to the speed of AI model output. Both teams were essentially racing against GPT-5.6 Sol Ultra's processing speed rather than competing against each other, indicating that AI capability is now the limiting factor in solving previously intractable research problems.
Why is the use of GPT-5.6 Sol Ultra significant for how science is being conducted?
The parallel success of two independent research teams using the same AI model demonstrates that AI is fundamentally changing the methodology and pace of scientific discovery. This shows that advanced language models like GPT-5.6 Sol Ultra can now assist researchers in solving complex, previously unsolved problems in specialized fields like quantum cryptography, accelerating the research timeline significantly.
Further Reading
- Two research efforts gave AI the same open problem. Their papers were submitted three hours apart. - Scientific American
- GPT-5.6 helps two teams post same crypto proof hours apart - AI Weekly
- Two research teams just used AI to prove the same open cryptography problem — three hours apart - YouTube
- GPT-5.6攻克25年量子信息难题，人类学者连夜「像素级」洗稿发论文 - NetEase / 163
- У криптографов была «одна пуля в барабане». GPT-5.6 нашел вторую - Habr
