Josh Woodward: Google Labs is Rapidly Building AI

章节 1：开篇与“提示词已过时”的大胆预测

📝 本节摘要：

本节包含访谈的精彩预告（Teaser）及正式开场。主持人介绍了来自Google Labs的Josh Woodward。Josh首先抛出了一个极具挑衅性的观点：对于终端用户而言，在一个小框里编写长篇“提示词”（Prompts）的做法正在迅速变得过时。他预测未来将出现两极分化——AI工程师继续编写复杂的结构化提示词，而普通用户将通过拖拽文档、图片、视频等多模态（Multimodal）形式来提供“上下文”（Context），从而取代繁琐的文字描述。

[原文] [Josh Woodward]: what I found too Building Products over the years is it's very common everyone talks about product Market fit you'll know it when you see it and all that which is true but at least for me I've always felt in the first part of Building Products you iterate a lot on the product and sometimes you forget to iterate on the market and finding the right Market side is also just as important as the right product and you have to connect those two and so I think that in these early stage things with Mariner that's where we are it's like does is it possible for a computer to like an AI model to drive your computer yes that's a huge new capability is it accurate sometimes is it fast not at all yet like that's kind of where we are um in terms of the actual kind of use case or the capabilities and then it's about finding the right Market

[译文] [Josh Woodward]: 我在这些年打造产品（Building Products）的过程中发现，大家都很常谈论产品市场契合度（Product Market fit），说什么“当你看到它时你就知道了”，诸如此类，这确实没错。但至少对我来说，我总觉得在打造产品的初期，你会在产品上进行大量的迭代，但有时你会忘记在市场端进行迭代。找到正确的市场切入点与打磨正确的产品同等重要，你必须将这两者连接起来。所以我认为，在像Mariner这样的早期项目中，我们正处于这个阶段。比如，计算机——或者说AI模型——有没有可能操控你的电脑？是的，这是一种巨大的新能力。它准确吗？有时候准。它快吗？完全不快，目前还不行。这大概就是我们在实际用例或能力方面所处的现状，接下来的关键在于找到合适的市场。

[原文] [Host]: today we're excited to welcome Josh Woodward from Google Labs the team behind exciting Google AI launches like notebook LM and the computer use agent Mariner Google Labs is Google's experimental arm that's in charge of pioneering what's next and how we interact with technology by thinking about how the world might look like decades from now Josh is helping to reimagine human AI interaction from the provocative claim that writing prompts is already becoming archaic to the emergence of multimodal AI as a default user experience he shares insights on the rapid Innovation culture in Google Labs offers a glimpse of what's next in generative video and much more Josh thank you so much for joining me and Ry today we are excited to hear everything that you're doing over at Google Labs

[译文] [Host]: 今天我们要非常兴奋地欢迎来自Google Labs的Josh Woodward，该团队通过Notebook LM和计算机操作代理Mariner等令人兴奋的Google AI产品发布而闻名。 Google Labs是Google的实验部门，负责通过思考几十年后的世界面貌，来开拓未来的技术以及我们与技术交互的方式。Josh正在通过一些挑衅性的主张来帮助重构人机交互（human AI interaction），比如他认为编写提示词（prompts）已经变得过时，以及多模态AI（multimodal AI）将成为默认的用户体验。他将分享关于Google Labs快速创新文化的见解，带我们一以此瞥生成式视频的未来，以及更多内容。Josh，非常感谢你今天加入我和Ry的对话，我们很兴奋能听到你们在Google Labs所做的一切。

[原文] [Host]: maybe first to start you mentioned a provocative topic to me uh on your way in here writing prompts is old fashed what do you mean by that

[译文] [Host]: 也许我们先从开头说起，你在进来的路上跟我提到了一个颇具挑衅性的话题：写提示词（writing prompts）已经过时了（old fashioned）。你这是什么意思？

[原文] [Josh Woodward]: okay so um thanks for having me uh I do think it's old fion we'll look back at this time from an enduser experience and say I can't believe we tried to write paragraph level prompts into these little boxes um so I kind of see it splitting a little bit right now on the one hand as a developer an AI engineer you should see some of the prompts that we're writing in Labs right now are these beautiful like multi-page prompts but I think for IND users they don't have time for that and you have to be almost like some sort of Whisperer to be able to unlock the models ability

[译文] [Josh Woodward]: 好的，首先感谢邀请。我确实认为它过时了。未来回顾这段时间，从终端用户体验的角度来看，我们会说：“真不敢相信我们曾经试图在这些小框框里写段落级别的提示词。”所以我认为目前情况正在发生一点分化：一方面，作为开发者或AI工程师，你应该看看我们在Labs里写的那些提示词，它们就像美丽的、长达数页的篇章；但我认为对于终端用户（end users）来说，他们没有时间做这些，而且你几乎得成为某种“低语者”（Whisperer，指能与难搞之物沟通的专家）才能解锁模型的能力。

[原文] [Josh Woodward]: so we're seeing way more pull and traction and I kind of seeing this in other products in the industry too right now how can you bring your own assets maybe as a prompt drag in a PDF or an image sort of recombine things like that to sort of shortcut this giant paragraph writing so I think it's going to kind of divide I think as Engineers AI Engineers you'll keep writing long stuff but I think most people in the world we're probably in a phase that'll sort of fade out here pretty soon

[译文] [Josh Woodward]: 所以我们看到了更多的需求和牵引力——我在行业内的其他产品中也看到了这种趋势——即你如何能带入你自己的资产（assets）作为提示词？比如拖入一个PDF或一张图片，将这些东西重新组合，从而作为一种捷径来避开撰写巨大的文本段落。所以我认为将会出现分流：作为工程师、AI工程师，你们会继续写很长的东西；但我认为对于世界上大多数人来说，我们可能正处于一个这一现象很快就会淡出的阶段。

[原文] [Josh Woodward]: so the form of of the context will change right you know so you still have to get give the model something right but it might be that you can communicate it via picture or communicate it via like just look at this set of documents yeah your voice a video any of that these models love context so the context is not going to go away but we're making a lot of bets right now that the type of context and the way you deliver the context that's changing really fast right now

[译文] [Josh Woodward]: 所以上下文（context）的形式将会改变，对吧。你知道，你仍然需要给模型提供一些东西，对吧？但这可能是通过图片来交流，或者通过比如“看这一组文档”、你的语音、一段视频等任何形式来交流。这些模型喜欢上下文，所以上下文本身不会消失。但我们现在正在下重注的是，上下文的类型以及你交付上下文的方式，正在发生非常快速的变化。

[原文] [Host]: I love it okay uh we're going to go deeper into the future of prompts and multi mulle models in this episode

[译文] [Host]: 我喜欢这个观点。好的，我们在这一集中会更深入地探讨提示词的未来和多模态模型。