Elaina O'Mahoney
① 他说过的话
12 条
仅仅因为你可以用 AI 做到,而且我可能会说出有争议的话,并不意味着你需要用 AI 来做它。
指向原始笔记的链接
Just because you can with AI, and I’m probably going to say the controversial thing, doesn’t mean you need to do it with AI.
—— Elaina O’Mahoney · [00:51]
有趣的是视觉协作在 AI 时代实际上是缺席的。我们都独自在我们的工具里,通过文字或语音。
指向原始笔记的链接
What’s interesting is visual collaboration is actually absent in the AI era. We are all in our tools, all by ourselves, with words or voice.
—— Elaina O’Mahoney · [03:01]
想法真的很廉价。你可以在几个小时内从一个想法变成一个实际可用的原型,或者写一份文档,或者在几分钟内创建一套幻灯片。
指向原始笔记的链接
Ideas are really cheap. You can go from an idea to an actual working prototype in hours, or write a doc, or create a slide deck in minutes.
—— Elaina O’Mahoney · [04:25]
因为这就是现在的游戏关键:我在玩和你一样的游戏吗,我真的知道你是从哪里开始的吗?
指向原始笔记的链接
That’s what the game is about now: am I playing the same game as you are, and do I actually know where you started?
—— Elaina O’Mahoney · [05:05]
在会议上我们谈论事情,但会议记录在之后才到;它们捕获了摘要。你仍然没有关于为什么做出决策的上下文。
指向原始笔记的链接
In meetings we talk about stuff, but the meeting notes come after; they capture a summary. You still don’t have the context of why the decision was made.
—— Elaina O’Mahoney · [08:06]
每个人都应该在玩耍和发布。
指向原始笔记的链接
Everybody should be playing and shipping now.
—— Elaina O’Mahoney · [11:35]
仍然有一些相当稀缺的事情你可以在内部解决。数据科学仍然稀缺。真正好的品味仍然稀缺。综合分析仍然稀缺。
指向原始笔记的链接
There are still some things that are quite scarce that you can work on internally. Data science is still scarce. Really good taste is still scarce. Synthesizing analytics is still scarce.
—— Elaina O’Mahoney · [12:02]
当我们与我们的一些较大的客户交谈时,几乎有一个 token 的黑市。
指向原始笔记的链接
When we speak to some of our larger customers, there’s almost a black market for tokens.
—— Elaina O’Mahoney · [22:57]
如果他们使用自己的 token,他们将不得不去找其他三个员工说,“我的原型完成了 80%,我的 token 被切断了。Susie,我可以虹吸你的一些 token 吗?“
指向原始笔记的链接
If they use their own tokens, they’ll have to go to three other employees to say, “I’ve got 80% of the way there with my prototype, and my tokens got cut off. Susie, can I siphon some of your tokens?”
—— Elaina O’Mahoney · [23:03]
“这是一个工具,用吧。“使用显示了采用,然后每个人都像,“天哪,这非常昂贵。退后,退后,退后。“
指向原始笔记的链接
Here’s a tool, just use it. And usage showed adoption, and then everybody’s like, “Holy crap, this is very expensive. Pull back, pull back, pull back.”
—— Elaina O’Mahoney · [24:46]
我们不只是说”你发布了什么?“而是”你学到了什么?“
指向原始笔记的链接
We’re not just saying “What did you ship?” It’s “What did you learn?”
—— Elaina O’Mahoney · [30:23]
如果我们没有改变我们的决策,或者我们仍然是一个月前的思维方式,我们没有收集正确的信息。
指向原始笔记的链接
If we’re not changing our decision-making, or we’re still thinking the same way we did a month ago, we didn’t gather the right information.
—— Elaina O’Mahoney · [30:32]
② 出现在这些集
1 集
- 《视觉协作在 AI 时代为什么消失了》 — 作为主持
③ 他谈到的
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Mural · 视觉协作 · 共享上下文 · 智能体 · 令牌 · 原型 · 前置部署员工 · Slack · Linear · Notion
