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技能 (skills)

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技能

技能 (skills)

概念 · 又名 skills / skill
本站收录 34 集 · 74 条金句 · 关联 10 个

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所以如果你能帮助人们减少对那件事的恐惧，那就是实际提升这些技能的 90% 的挑战所在。
And so if you can help people be less afraid of that, that’s 90% of the challenge of actually improving some of these skills.
—— Hilary Gridley · [25:40]

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用一段话给我一个你面临的棘手问题。问题是什么，你使用了什么技能来解决它，以及结果是什么？我很想看到那样的简历。
Give me in a paragraph a thorny problem you faced. What was the problem and what skills you used to actually accomplish it and what was the result of that? I would love to see a resume like that.
—— Chip Connolly · [42:06]

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船坞是为了唤起受控的混乱。如果你在高峰期去船坞，长滩或其他什么，那里有太多事情发生，大型重型机械在移动，来自中国，来自马来西亚的卡车和集装箱在到处跳。但这种混乱底层是仔细的沟通，高超的技能。
A shipyard is to evoke controlled chaos. If you go to a shipyard at peak, Long Beach or whatever it is, there’s so much going on and big heavy machinery moving around, trucks and containers from China, from Malaysia jumping around. But this chaos underline it is careful communication, high skill.
—— Oji · [13:12]

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礼仪是一项关于如何以低心率出现在一个房间里的技能。
Etiquette is a skill for how to show up in a room with a low heart rate.
—— Sam Lessin · [00:24]

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这样做的原因是，我认为没有任何理由假设人类技能水平是任何事物的上限。
And the reason for that is, I don’t think there’s any reason to assume that human skill level is the cap on anything.
—— Marc Andreessen · [84:17]

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当你通过感觉压倒技能的视角来看待不良行为时，你开始像一个教练那样思考。
When you look at bad behavior through the lens of feelings that overpower skills, you start to think like a coach.
—— Dr. Becky Kennedy · [30:01]

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利益相关者管理的行為,学习的行為,是 10 倍效能的技能。
The act of stakeholder management, the act of learning is the 10X skill.
—— Jessica Fain · [72:03]

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是时候让硬技能再次现身了,而不是领导力、感召力、对齐。
it’s time for the hard skill to show up again, not leadership, inspiration, alignment.
—— Claire Vo · [47:03]

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理解针对哪个用例选择哪个界面,成为了一项核心的 PM 技能,这将帮助你变得效率提升 10 倍
understanding which surface to reach for which use case becomes one of the core pm skills that will help you become 10x more effective
—— Jyothi Nookula · [05:39]

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研究表明,AI 生成的技能文件不如人工编写的技能文件有效
research has shown that AI generated skill file is less effective than human written skill files
—— Jyothi Nookula · [30:46]

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一个技能文件就是一名员工，它拥有一种能力，一份工作，写得足够清楚以至于某人可以执行它。
A skill file is an employee, it has one capability, one job, written down clearly enough that someone can execute it.
—— Garry Tan · [04:31]

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一个放对位置的人远好于四个放错位置的人，这就是为什么我觉得创始人最被低估但最有价值的技能之一，是运行一个极其勤勉和专注的招聘流程。
I think one well placed person is far better than four poorly placed people and that’s why I think one of the most overlooked but valuable skill sets for a founder is to run an extremely diligent and focused recruitment process.
—— Damien Lewke · [15:53]

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我们往往被训练成只学习硬技能和所有的技术细节，并且表现得非常出色，成为房间里最聪明的人，这在某种程度上就像是胡扯。
We tend to be conditioned to learn only the hard skills and all the technical pieces and be really good and be the best smart person in the room, which is like BS in a way.
—— Heitor Lessa · [18:20]

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我现在做事非常快，你知道，就像这类技能问题几乎消失了，所以现在全都在于判断力，以及我做的事是否能驱动最大的业务价值。
I can do things very quickly now you know it’s like this skill issues have almost gone away so now it’s all about judgment and am I doing what is going to drive the most business value.
—— Osvald Nitski · [15:38]

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你可以教技能，你可以教知识，你可以学任何一种工程，但有一样东西我从来没能在别人身上教会的，就是在他们根本不在乎的时候让他们在乎。
You can teach skills, you can teach knowledge, you can learn any kind of engineering, but the one thing I’ve never been able to teach somebody else is to care when they just didn’t care.
—— Blake Scholl · [31:39]

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特别是那些没有提升其产品判断力的 PM,没有提升他们的编排技能以匹配工程师的新速度。
Particularly we see PMs who are not speeding up their product judgment, speeding up their orchestration skills to match the new speed of the engineers.
—— Oji Udezue · [03:25]

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LLM 很少告诉你不,而这个技能会绝对告诉你不,别做这个。
LLMs very rarely tell you no, and this skill will tell you absolutely no, don’t do this.
—— Oji Udezue · [17:07]

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我认为仅靠代码技能正变得过时。
I think code skills alone are becoming passe.
—— Oji Udezue · [58:31]

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Markdown，而不是魔法。胖技能，瘦线束。
Markdown, not magic. Fat skills, thin harness.
—— Garry Tan · [16:56]

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你教给智能体的每一个技能都是外在化的你。
Every skill you teach an agent is you, externalized.
—— Garry Tan · [29:38]

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我认为现在是构建软件极其令人兴奋的时代，因为可能性的边界更多取决于你的想象力，而不是你或团队的技能或带宽。
I think it’s an incredibly exciting time to be building software because the bounds of what’s possible is now more so your imagination, not so much the skills that your team or you have or the bandwidth that you have.
—— Ali Haghani · [14:08]

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但我认为人类技能在超人类 AI 的世界里不再相关的想法,仅仅作为技术本身的一个产物,是无稽之谈。
But I think the idea that human skill is no longer relevant in the world of superhuman AI just as a product of the technology itself is nonsense.
—— 嘉宾 · [39:38]

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拥有 AI 技能的自由职业者每小时收入高出 34%。
Freelancers that have AI skills are earning 34% more hour.
—— Hayden Brown · [23:38]

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简而言之，我们可以说：对齐胜过个人技术。
So in short, we can say alignment beats individual skills.
—— Abduallah Mohamed · [02:24]

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我认为为什么有一定经验水平的人现在准备好用 AI 大干一场的原因是，你在职业生涯中培养的所有那些管理技能都可以在这里直接应用。
The reason why I think folks of a certain level of experience are like ready to cook right now with AI is all those management skills that you have developed over your career can be applied right here.
—— Claire · [15:48]

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因为你无法教给人们激情，但你可以教授技能。
Because you can’t teach passion to people. You can teach skills.
—— Srini Raghavan · [62:44]

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其中很多员工将只是 AI 机器人，而这本身就是一种技能。
A lot of those employees are just going to be AI robots, and that’s a skill in and of itself.
—— Will · [18:19]

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另一件事是，我们在某种程度上已经到了使用智能体系统的寒武纪阶段——兴奋、技能以及用 AI 解决一切问题的方法正在爆发式增长。
And the second thing is we’re sort of reached the Cambrian stage of using agentic systems, which means there’s an explosion of excitement and skills and finding out ways to solve anything with AI.
—— Justin Joyce · [18:20]

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归根结底，你会发现你组织里所有的 know-how 实际上都存在于 Skills 层面。
So at the end of the day, we’ll find all of your know-how is actually at the skills level.
—— Imad Touil · [06:41]

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如果你的 Skills 没有正确的结构，那你就不真正拥有一个确定性的工作流。
And if you don’t have the right structure of your skills, then you’re not really having a deterministic workflow.
—— Imad Touil · [06:45]

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然而，如果我们不治理 Skills，我们将开始创造一类全新的技术债务。
However, if we don’t govern skills, we will start creating a new class of technical debts.
—— Imad Touil · [11:21]

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如果你自动启动这台机器，其影响将远超今天，因为这会变成在没有治理机制的情况下维持自动演进的技能——而治理机制才是真正为你的组织设置护栏的东西。
If you automatically start this machine, the impacts will be way more than it is today because what I shared earlier is gonna be just maintaining auto-evolving skills without that governance in place that actually put the guardrails for your organization.
—— Imad Touil · [19:48]

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如果你不做测试，不确保针对任务、也针对不断推出的最新模型去维护和验证你的技能，那么质量就会随时间开始退化。
If you don’t test and make sure that you’re maintaining and you’re validating your skills, not against your task, but also against the latest models that comes, right, then the quality starts degrading over time.
—— Imad Touil · [11:43]

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如果我们没有关于该法规的技能，那就意味着有人在反复 vibe coding，试图弄清楚到底该怎么引导智能体把它正确地实现出来，对吧？
If we don’t have a skill about the regulation, that is someone is vibe coding back and forth and trying to figure out exactly how to steer the agent to implement it properly, right?
—— Imad Touil · [16:26]

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如果你告诉你的技能或智能体按「红到绿」的 TDD 风格去写你正在写的代码，它几乎总能给你更好的结果。
If you tell your skills or your agent to write the code that you’re writing, like at the red to green, at the TDD style, it almost always gives you better results
—— Eyal Blum · [06:13]

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如果你考虑某人的技能曲线，它可能开始得很高，但如果他们没有一个良好的上升轨迹，他们将会在一家指数级扩张的公司里非常艰难地工作。
If you think about somebody’s skill curve, it might start out really high, but if they don’t have a good trajectory upwards, they are going to have a really hard time working in a company that is scaling exponentially.
—— Max Junestrand · [18:08]

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即便是在公司层面，我告诉人们的一件事是，听着，你必须经历转换系统的痛苦。而且它不会那么高效。是的，当然，旧的方式会更快，因为那是肌肉记忆。但如果你进入下一个层级，不仅你会有一个更适合你的系统，而且每个人都会有更多技能。
One of the things, even at a company level, that I tell people is, look, you’ve got to go through the pain of switching your systems. And it’s not going to be as efficient. And yes, of course, the old way will be faster because it’s muscle memory. But if you get to the next level, not only will you have a system that works better for you, but everybody will have more skills.
—— Claire Vo · [24:15]

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你可以把它理解为一种方式：把你的技能转化成、或者说基于它们创建出非常聚焦、高准确率、非常快、非常便宜的「LM as judge」工具。
You can think of it as a way of turning your skills into or creating off of them very focused, high accuracy, very fast, very cheap LM as judge tools
—— Drew · [29:03]

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至少一年来，你已经不需要为了编程技能而雇佣初级开发者了。
For at least a year now, you do not need to hire junior developers for their coding skills.
—— Ran Arusi · [00:00]

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我们真正要培养的技能，不是多任务处理，而是多监控多个智能体的能力。
The real skill that we’re trying to build is the ability to not multitask but multi-monitor agents.
—— Ran Arusi · [00:18]

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但我确实认为，如果只学一项技能，我认为那会是写作。
But I do think if there’s one skill to learn, I think it would be writing.
—— Jordan Tigani · [38:17]

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但我确实认为，如果只能学一项技能，那就是写作。
But I do think if there’s one skill to learn, I think it would be writing.
—— Jordan Tigani · [38:05]

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你会学到一套在大公司里很难学到的技能，因为在大公司里每个人都那么谨慎、那么讲政治，而这一切在初创公司里都被剥离掉了。
You learn a set of skills that is really hard to learn in a larger company because everybody’s being so careful in a larger company or they’re being so political or all these things, all that’s stripped away in a startup.
—— Andrew Anagnost · [05:23]

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这是一项真正放大我们主观能动性的技术。它在某种程度上把技能从欲望中拆分出来。
This is a technology that really amplifies our agency. It kind of unbundles skill from desire.
—— Anish Acharya · [00:16]

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比如它把技能和欲望解绑了。如果你想创作音乐，你现在就可以做音乐，不必会弹钢琴。
It kind of unbundles skill from desire, for example. If you want to make music, you can make music now. You don’t have to know how to play the piano.
—— Anish Acharya · [37:02]

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就是品味和判断力，这些技能一直都很有价值，但现在会变得至关重要。
Just taste and judgment are the skills that have always been valuable but now will get to the limit.
—— Tobi Lütke · [31:16]

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是的，在过去一年里，提到 AI 相关技术作为技能要求的职位描述增长了 70%，甚至包括非工程类岗位。
Yeah, so over the past year, there’s a 70% increase in job descriptions mentioning AI-related technologies as a skills requirement, even for non-engineering roles.
—— 嘉宾 · [27:57]

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中位数就是模型的引力。即使是 250 行精心手工打造、优美的技能散文也改变不了这一点。
The median is the model’s gravity. Even 250 lines of like artisanal, crafted, beautiful skill pros cannot change this.
—— Paul Bakaus · [06:12]

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你培养出与人相处的技能，是因为你在做你真正在乎的事情，你需要让所有人都参与进来。
You develop people skills because you’re doing something you really care about and you need to get everyone on board.
—— Gagan Biani · [21:19]

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但我认为这是技能问题，不是模型问题。
But I think this is a skills problem, not a model problem.
—— 嘉宾 · [30:26]

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我完全不会被纯粹的知识追求所激励，我是被技能激励的。
I’m not motivated at all by a pure pursuit of knowledge. I’m motivated by skills.
—— Amjad Masad · [14:02]

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这个行业里最重要的技能，或许在全世界也是，就是你在市场之前识别出事物的能力。
The most important skill in this industry, or perhaps in the world, is your ability to identify things before the market.
—— Josh Ellman · [00:00]

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一个 skill,就是把机构判断力变成可执行的东西。
A skill is institutional judgment made executable.
—— Andrew Orobator · [04:22]

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文档保存事实,而 skill 保存判断力。
Documentation preserves facts, while skills preserve judgment.
—— Andrew Orobator · [05:06]

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所以我构建的很多 skills 都是围绕：怎么让简单的事变成正确的事？
So a lot of the skills that I’ve built have been around, how do I make the easy thing the right thing?
—— Poteto · [06:13]

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你如何搭建你的技能、你的环境、你的代码库，我认为这些最终才是打造产品的新食材。
And how you set up your skills, your environment, your code base, I think are ultimately the new ingredients that go into building product.
—— Poteto · [15:00]

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你会在我构建的很多其他技能里看到这一点，就是我尝试把确定性的部分提取出来变成代码，只把真正需要判断力的部分留给智能体。
And you’ll see this in a lot of the other skills that I’ve built, is like I try to extract out the deterministic parts and turn that into code and just leave only the parts that actually require judgment to the agent.
—— Poteto · [21:46]

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所以我在很大程度上把技能，尤其是当智能体变得更强大时，看作是在真正地编码工作流。
So I largely think of skills, especially as agents get more capable, as really encoding workflows.
—— Poteto · [63:45]

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我们用 skills 来打补丁，但 skills 只是一张创可贴，因为你提供的上下文越多，智能体反而变得越笨。
And we patch this with skills, but skills is just a band-aid because agents become dumber with the more context you provide.
—— Sarah Simionescu · [04:01]

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说「你可以进入这个游戏并创造东西」是一回事；说「下载这个 skill,Codex 会替你在游戏里构建」是另一回事。
It’s one thing to say, like, you can go into this game and you can create things. It’s another thing to say, like, download this skill and Codex will build into the game for you.
—— 嘉宾 · [20:47]

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就是这些硬技能——要把一个好点子变成产品所需的技能门槛太高了。
And it’s just like the hard skills, the creative skills required to get even a good idea into production are so high.
—— 嘉宾 · [28:03]

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当我聊到那次对话的结尾时，我常常会说，嘿，把这个做成一个技能，或者更好的是，把它做成一个插件，这样下次我需要做这件事时，你只需调用插件就能把活干完，不用再重走一遍整套流程。
And when I get to the end of that conversation, I will often say, hey, make this a skill, or even better, make this a plugin, so that next time I need to do this, you can just invoke the plugin and get the job done, and we don’t have to step through all of this work again.
—— Charlie Guo · [12:59]

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我们总是告诉团队的是，未来十年人们被招聘所看重的技能，是应用 AI 的能力。
And what we always tell the team is that the skill set that people will be hiring for in the next decade is the ability to apply AI.
—— Linda Du · [04:49]

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有价值的技能是那些没人想要被重新发现的仪式。
Valuable skills are the rituals that nobody wants rediscovered.
—— Rafal Wilinski · [04:32]

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这是我所知道的唯一一个命令,不仅安装一个技能,还免费附赠提示词注入。
That’s the only command I know that installs not just a skill, but also free prompt injections,
—— Rafal Wilinski · [06:14]

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技能可以传递如何做某事的知识,而工具给我们能力。
Skills can be delivering the knowledge how to do something, and tools gives us capabilities.
—— Rafal Wilinski · [07:48]

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成功率是最容易展示的数字,但 Google 的技能其实是在缩小搜索空间。
The success rate is the easiest number to show, but Google’s skill is narrowing the search space.
—— Rafal Wilinski · [13:36]

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但现在，判断力和优先级排序已经胜过了机械式的实现技能。
But judgment and prioritization now beat mechanical implementation skill.
—— Davis Palmie · [15:49]

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RAG、agentic AI 和提示词工程，它们并不是排名第一的技能。排名第一的技能是为 AI 识别正确的用例。
RAG, agentic AI and prompt engineering, They were not the number one skill. The number one skill was identifying the right use case for AI.
—— Ankit Shukla · [25:40]

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如果智能体所参考的未来上下文从未改变，那么一个错误的技能或指令就意味着，智能体今天犯的错误在未来的运行中仍会持续存在。
If the future context that that agent references never changes, then a misguided skill or instruction will mean that the agent, the mistake that the agent makes today will still persist in future runs.
—— Jake Broekhuizen · [03:48]

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我认为在 AI 领域需要学习的最重要的技能之一就是「遗忘」。
I think one of the most important skills to learn in AI is unlearning.
—— Jeetu Patel · [21:46]

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但我们都知道，skills 和 MCP 的效果只取决于提供给它们的上下文。
But we all know skills and MCPs are only as good as the context that they’re provided to.
—— Kamalakannan Nandagopal · [02:44]

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我觉得使用 Silico 有点像和一个非常热心的、大概一年级或二年级的博士生共事：他有很多技能也很努力，但
I think like using Silico is kind of like using, like working with a very eager, like first or maybe second year PhD student that has a lot of skills and is hardworking, but also like
—— 嘉宾 · [109:53]

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但我认为产品应该达到足够直观、高质量、易于上手的程度，而 AI 也应该被做得足够直观，以至于如果你没能让 AI 为你做某件事，不应该被视为是你的技能问题。
But I think products should get to a point where they’re so intuitive and high quality and easy to onboard and AI should be made so intuitive that it shouldn’t be seen as a skill issue if you’re not able to get the AI to do something for you.
—— Arvind Srinivas · [20:26]

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