OpenAI 一周内抄出竞品 API：根本没训练新模型

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they said that a few months ago, I think, and I hope they have a different perspective now because Computer Use is, like, 180 degrees different than it was.

他们几个月前是这么说的，我希望他们现在有不一样的看法了，因为 Computer Use 已经和当时完全不一样了，可以说是 180 度大转变。

Ari Weinstein4:53

now Computer Use, often writes code. So if you actually look at it in Codex and you expand the tool calls manually, you can see that it’s not just doing one action at a time. It’s actually writing JavaScript code that it executes

现在 Computer Use 经常是直接写代码。如果你在 Codex 里把工具调用展开看，会发现它不是一步一步执行单个动作，而是真的在写一段 JavaScript 代码去执行。

Ari Weinstein5:57

if you take a screenshot of a webpage that has a link- The screenshot doesn’t include where the link goes. It doesn’t include, you know, maybe you take a screenshot of your calendar, the ca- event ti- titles are truncated, you know?

如果你截一张带链接的网页截图，截图里是看不到链接指向哪里的。也看不到完整信息——比如截一张日历的图，事件标题是被截断的，你懂吧？

Ari Weinstein11:27

now Computer Use is, like, faster at accomplishing tasks than, like, the average human probably in most cases. and I think that the next frontier is to have Computer Use be, like, literally superhuman in its performance

现在 Computer Use 完成任务的速度，在大多数情况下已经比普通人更快了。我认为下一个前沿是让 Computer Use 真正变得超人类——性能上比我们这样的电脑操作专家还要快。

Ari Weinstein12:32

One of my favorite use cases for Computer Use actually, and one that we see a lot in the wild, is Computer Use letting the agent- actually test the software that the agent has built, which is far more consequential than it sounds.

我最喜欢的 Computer Use 用例之一，也是我们在实际使用中看到很多的，就是让 Computer Use 去测试 agent 自己构建出来的软件，这件事的意义比听上去重要得多。

Ari Weinstein17:31

This is, like, really just Luna. And, on top of that, what you’re doing is you’re constraining. So, like, structured output’s a big part of it. you’re really optimizing the inference stack to, like, get very fast on TTFD.

这其实就是 Luna。在这基础上，你做的事是加约束——结构化输出是很重要的一部分，你在推理栈上做极致优化，让首 token 时间（TTFD）变得非常快。

Nikunj Handa27:26

We’ve been, trying to, like, really up our game on caching. We provide now guarantees of, like, cache hits within, like, 30 minutes. We’re actually, like, we-- for one of our users, we just launched, like, a much longer cache window. So we have, like, a 12-hour caching guarantee

我们一直在努力把缓存这件事做得更好。现在我们提供 30 分钟内缓存命中的保证。实际上我们刚刚为一位客户上线了更长的缓存窗口——我们现在有 12 小时的缓存保证。

Nikunj Handa32:12

数字与实体

术语

App Shot应用快照

双击快捷键抓取应用完整无障碍数据，而非普通截图

TTFT/TTFD首Token延迟

模型生成第一个输出token所需时间，衡量推理速度的关键指标

mid-turn steering推理中途引导

在模型推理过程中途插入新指令来调整其行为

WebSocketsWebSocket双向连接

支持异步工具调用和实时交互的持久通信协议

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