OpenAI的模型已推翻密码学领域的一项基础理论，这家人工智能公司周一宣称。OpenAI还宣布了物理学和数学领域另外两项突破。
OpenAI’s models have disproved a foundational theory within cryptography, the AI company claimed on Monday. OpenAI also announced two other breakthroughs in physics and mathematics.
这些发现发生在OpenAI本月早些时候发布超过700篇数学论文之后，其AI模型在广泛的数学领域发现了新结果。值得注意的是，这些论文中没有包含任何密码学领域的突破，引发专家猜测，OpenAI可能已经解决了但未公开分享的密码学问题。
The findings come after OpenAI released over 700 math papers earlier this month, with its AI models finding novel results in a wide range of math fields. Notably, those papers did not include any breakthroughs in cryptography, sparking speculation among experts that OpenAI could have solved cryptography problems it wasn’t sharing publicly.
OpenAI声称，其模型于10月16日发现，指数时间假设——这一广泛持有的关于某一类问题求解难度的假设——是错误的，因为找到了比假设的最低难度更快的算法。该结果预计不会对加密系统产生直接影响，但它与许多理论计算机科学家此前认为可能的情况相悖。
OpenAI claims its models found on October 16 that the exponential time hypothesis, a widely held assumption for how difficult a particular class of problems is to solve, was false by finding an algorithm faster than the assumed minimum difficulty. The result is not expected to have an immediate impact on encryption systems, but it went against what many theoretical computer scientists previously believed was possible.
OpenAI宣布结果后不久，Anthropic研究员Levent Alpöge声称，Anthropic的模型也于10月16日推翻了指数时间假设，与OpenAI得出结果的当天相同。
Shortly after OpenAI announced its results, Anthropic researcher Levent Alpöge claimed that Anthropic models had also disproved the exponential time hypothesis on October 16, the same day OpenAI came up with its result.
Alpöge写道，Anthropic为此结果投入了1400万个token。他此前曾卷入OpenAI之间关于OpenAI对一项奖金数学问题（即Navier-Stokes问题）解决方案的数据共享争议，而Alpöge一直在研究该问题。
Anthropic put 14 million tokens towards finding the result, Alpöge wrote. He was previously involved in a data-sharing dispute between OpenAI over OpenAI’s solution for a prize math problem, the Navier-Stokes problem, which Alpöge had been working on.