当每个人的生产力都提高 10 倍时，就没有人真正提高了
坦白说，这让我想到了一些影响：围绕中国模型发生的一切，或者关于中国模型的说法——即它们通过蒸馏或其他手段从美国模型获取知识。所以这就是为什么这个故事对我来说极其重要，它的影响不仅限于美国各实验室之间的竞争，还涉及更广泛的层面。正如你所说，这促使企业非常谨慎地思考，他们向那些“neo-labs”开放了多少知识产权。
原始摘录
That has implications, frankly, for where my mind went: everything that is happening with Chinese models, or what is being claimed about Chinese models—that they are taking, whether through distillation or other means, knowledge from U.S. models. So this is what makes this story extremely important to me, with implications not only for what’s happening in the competition among U.S. labs, but for what’s happening more broadly. And that makes corporations, to your point, think very carefully about how much of their IP they open up to those neo-labs.
上下文
所以这里有趣的地方在于。如你所知，我经常采用企业的视角。关于 Anthropic 模型的质量和性能、为何被更广泛采用、这对 Anthropic 的收入有何影响，以及这如何让该公司准备好在年底前上市，外界已经有很多讨论。但你现在看到的是两位研究人员，其中一位显然与 Anthropic 有关联，却在使用 OpenAI 的 Codex。这是第一点。第二点是，正如你所说，OpenAI 正在接收这些提示词并用它们来改进自己的模型。我的意思是，他们已经开始接受这种说法了。
原始上下文
So here’s why it’s fascinating. As you know, I take the corporate approach a lot. There has been so much noise about the quality and performance of Anthropic’s models, why they are being adopted more broadly, how that has implications for Anthropic’s revenue, and how it makes the company ready to become public before the end of the year. Yet here you have two researchers, one of whom is clearly associated with Anthropic, using OpenAI’s Codex. That’s point number one. Point number two is the fact that OpenAI is taking these prompts, as you say, and using them to improve their model. I mean, they started accepting some of that narrative.