Anthropic's Scion is heavily inspired by Mononoke

Anthropic’s Scion is heavily inspired by Mononoke 2026-10-14 · 2 min read vcs shorts Discuss on Hacker News or Lobsters.

Anthropic 的 Scion 系统深受 Mononoke 的启发 2026-10-14 · 2 分钟阅读 vcs shorts 在 Hacker News 或 Lobsters 上讨论。

Here is Anthropic describing (archive link) yesterday how their new version control system, Scion, uses a concept called “derived data” to make operations like blames more efficient: How Anthropic describes Scion’s derived data.

这是 Anthropic 昨天描述（存档链接）其新版本控制系统 Scion 如何利用一种称为“派生数据”（derived data）的概念，使诸如 blame 等操作更加高效的内容： Anthropic 如何描述 Scion 的派生数据。

Here is me, back in 2022, describing in my Oxide candidate materials how the Mononoke source control server I helped build uses a concept called “derived data” to make operations like blames more efficient: How I described Mononoke’s derived data.

这是我早在 2022 年在我的 Oxide 候选材料中描述的内容，关于我参与构建的 Mononoke 源代码控制服务器如何利用一种称为“派生数据”的概念，使诸如 blame 等操作更加高效： 我是如何描述 Mononoke 的派生数据的。

I think the level of imitation goes well beyond having similar insights. The fact that Sapling was only credited for “hard-won lessons”, and that Mononoke was not mentioned at all, borders on plagiarism. The post comes off as Anthropic claiming that Claude designed all this, while the reality is that our (extraordinary) team at Meta came up with many of the insights that Claude dutifully applied almost a decade later. (We looked at plenty of prior art for Mononoke and Sapling too, from Google’s SrcFS to write-ahead logs in databases.)

我认为这种模仿程度远远超出了拥有相似见解的范畴。Sapling 仅被归功于“来之不易的经验”，而 Mononoke 完全未被提及，这近乎剽窃。这篇文章给人的感觉是 Anthropic 声称这一切都是由 Claude 设计的，而事实是，我们（卓越的）Meta 团队在近十年前就提出了许多 Claude 后来忠实应用的见解。（我们在开发 Mononoke 和 Sapling 时也参考了大量现有技术，从 Google 的 SrcFS 到数据库中的预写日志。）

I am very glad that the vision our team had back in 2017-18 was so powerful and enduring — when you go against the grain, you’re always a bit unsure if what you’re doing is genius or madness, and I think Mononoke’s design has stood the test of time. And, to be clear, I do not have a problem with Anthropic copying Mononoke’s design. (This is part of why we put out open source — to benefit humanity through the spread of good ideas.)

我非常高兴我们团队在 2017-18 年时的愿景如此强大且持久——当你逆流而上时，你总是不确定自己是在创造天才之作还是陷入疯狂，但我认为 Mononoke 的设计经受住了时间的考验。需要明确的是，我不介意 Anthropic 复制 Mononoke 的设计。（这也是我们发布开源项目的部分原因——通过传播好的想法来造福人类。）

But as LLMs continue to assist in designing new systems, they are likely to index heavily on existing designs. Mononoke is open source and in every LLM’s training set. If you ask Opus 5.5 or GPT-6 Astra (thanks Matthew Fowle) about prior art, they both immediately point out the similarities to Mononoke.

但随着大语言模型（LLM）继续协助设计新系统，它们很可能会大量索引现有的设计。Mononoke 是开源的，并且存在于每个 LLM 的训练集中。如果你询问 Opus 5.5 或 GPT-6 Astra（感谢 Matthew Fowle）关于现有技术的问题，它们都会立即指出与 Mononoke 的相似之处。

Giving credit to those that came before us is now easier — and more important — than ever. There is no longer an excuse.

向先驱者致敬现在比以往任何时候都更容易，也更重要。再也没有借口了。

For an example of a system with similar insights but many key design differences, see Vicent Marti’s blog post for Cursor.

关于一个具有相似见解但在许多关键设计上存在差异的系统示例，请参阅 Vicent Marti 为 Cursor 撰写的博客文章。