So, in 2019, the base units that make up the foundation of the metric or SI system were redefined to no longer rely on imperfect human artifacts.

此，在 2019 年，构成制或 SI 系统基础的基本单位被重新定义为不再依赖不完美的人类工件。

The evidence from the text  and artifact tell a new story.

来自文本和工件的证据讲述一个新的故事。

When pressed, it lets down the force field over the artifact for 10 seconds.

按下时，它会降低工件上方的力场 10 秒。

And we're not necessarily focused on like the public serving, we're more focused on what's the experience we can build around the raw artifact storage?

我们并不一定专注于面向众的服务，而是更关注如何围绕原始工件存储构建用户体验。

How to classify, how to bring some order to millions of artifacts.

如何分类，如何为数百万个工件带来一些秩序。

So it automatically detects what artifacts have actually changed and only then goes and executes that particular step.

此，它会自动检测哪些工件实际变化，只有在那时才会继续执行该特定步骤。

Step caching automatically detects what artifacts have changed and reuses the results.

步骤缓存会自动检测哪些工件变化，并重用之前的结果。

And are there are also are there like other things that we can expand to over time, that aren't a registry, but are related to hosting and serving artifacts.

此外， 是否还有一些其他领域我们可以随着时间逐步扩展，虽然它们并非注册表， 但与托管和服务工件相关？

AWS Lambda now supports customer managed key encryption for zip function code artifacts.

亚马逊网络服务Lambda现在支持客户管理的密钥加密用于ZIP函数代码工件。

Like now that we have a server where we can host artifacts, like where can we have the biggest impact amongst all these different people using Python?

就像现在我们有一个可以托管工件的服务器，那么在所有使用Python的不同人群中， 我们能在哪里产最大的影响呢？