00:00 00:00 this is Jake heler he's the co-founder of case text which sold for $650 million 这是 Jake heler，他是 Case Text 的联合创始人，该公司以 6.5 亿美元的价格出售 earlier this year it's one of the mega wins in Ai and today he's going to tell 今年早些时候，这是人工智能领域的重大胜利之一，今天他要告诉大家 us how he did it and how he built something that reduces weeks of 我们知道他是如何做到的，以及他如何打造出能够减少数周时间的产品 painstaking legal work down into just minutes and why that turned into million 艰苦的法律工作只需几分钟，为什么变成了数百万美元 dooll contracts for his startup large language models are creating ridiculous 他的初创公司大语言模型的杜尔合同正在创造荒谬的 huge opportunity and today we're going to learn about Jake's story let's get 巨大的机会，今天我们要了解杰克的故事 [Music] started at YC one of the things I've [音乐] 开始在 YC 做的事情之一 learned is that it takes someone who understands the world from a very 我们学到的一点是，一个人必须从最根本的角度来理解这个世界。 00:01 00:01 specific perspective that person needs to be combined with people who can build 该人需要与能够建立的人结合起来的具体观点 incredible technology Jake's Origins actually started in the legal world I 令人难以置信的技术杰克的起源实际上是从法律世界开始的 had actually a very early traditional legal career I practiced law at a big 实际上我有一个很早的传统法律职业生涯 我在一家大律师事务所执业 Law Firm before that I clerked for a federal Circuit Judge I had the 在此之前，我曾为一名联邦巡回法官担任律师事务所的书记员，我有 privilege of just for a summer working in Obama's White House as a intern in 有幸在奥巴马的白宫实习了一个暑假 the White House council's office so I was able to see some interesting sides 白宫委员会办公室所以我能够看到一些有趣的方面 of the practice of Law and it was also pretty apparent early on that it was an 法律实践的一部分，而且很早就很明显，它是一种 area that could be improved with technology pretty substantially you know 你知道，可以通过技术大大改进的领域 it's not any one story but there are many instances where it was like 2: a.m. 这不是一个单一的故事，但有很多例子都是凌晨两点。 or 3:00 a.m. and I'm trying to just find 或凌晨 3:00 我试图找到 one piece of information that might help 一条可能有帮助的信息 with a case and we're talking about like a piece of evidence that might swing a 就一个案件而言，我们谈论的是一个可能会影响一个案件的证据 billion dollar lawsuit in One Direction or another or for our prob boner work a 在一个方向或另一个方向或为我们的问题工作而提起的数十亿美元的诉讼 00:02 00:02 single legal case that might help somebody who is might go to jail not go 单个法律案件可能会帮助一个可能会入狱的人，但不会去 to jail so like literally life or death or making or breaking a business and it 坐牢，就像字面上的生或死，或者成就或破坏一家企业， was just so hard and I would then like go on my iPhone and look for like 太难了，然后我想用我的 iPhone 寻找类似的内容 takeout thae food or something and that was insanely easy and so I we knew that 外卖食物或其他东西，这非常容易，所以我我们知道 the technology to do relatively trivial stuff like find nearby restaurants or 该技术可以做相对琐碎的事情，例如寻找附近的餐馆或 good reviews of them or what have you was there and it just felt like this big 对他们的好评或者你在那里有什么感觉就像这么大 disconnect where things that really mattered at the end of the day like 在一天结束时断开真正重要的事情，例如 whether or not somebody spends their life in prison uh technology wasn't 无论某人是否在监狱中度过一生呃技术都不是 really helping there among the best Founders this feeling that Jake 真正帮助了最好的创始人，杰克的这种感觉 describes is very common what does it feel like when you realize technology 描述很常见当你意识到技术时是什么感觉 has made basic consumer actions like ordering my lunch very easy but my work 使订购午餐等基本消费者行为变得非常容易，但我的工作 is so hard we're still just a decade into this Mega Trend idea that great 太难了，我们进入这个大趋势想法才十年，太棒了 software and now ai has only made it into a very very small percentage of the 软件，现在人工智能只占了非常小的比例 00:03 00:03 total pie of GDP what the world needs and and like Jake mentions sometimes 世界需要的 GDP 总量，就像杰克有时提到的那样 it's very important life or death things that are the largest 这是非常重要的生死攸关的事情是最大的 markets casex was one of the companies I got to work with in my early days in YC market casex 是我在 YC 早期工作过的公司之一 in 2013 one of my notes from June 2013 about Jake I said impressed by this team 2013 年，我在 2013 年 6 月写的一篇关于 Jake 的笔记中，我说这个团队给我留下了深刻的印象 articulate accomplished and good at building software to boot Sox changed 善于表达并善于构建软件来引导 Sox 改变 considerably over the course of our 10 years what what Sav the same is we had a 在我们 10 年的历程中，Sav 的相同点是，我们有一个 vision around applying some of the best technology to the legal profession to 围绕将一些最好的技术应用于法律行业的愿景 make it so that um when lawyers are doing their critical work often times 做到这一点，当律师经常做他们的关键工作时 life-changing or saving a business or what have you that they were getting the 改变生活或拯救企业或你有什么他们得到的 best access to the most modern technology in the very early days the 在早期就最好地获得最现代的技术 best technology and the ones that we got most excited about were around for 最好的技术和我们最兴奋的技术 example crowd sourcing and applying very early and rudimentary versions of 众包和应用非常早期和初级版本的示例 00:04 00:04 natural language processing to help lawyers do leg work they started off as 自然语言处理帮助律师做他们一开始的跑腿工作 a crowdsourced case law library where users would edit and annotate then have 一个众包判例法库，用户可以在其中进行编辑和注释，然后 other users up Vote or down vote the annotations like Wikipedia meets Reddit 其他用户对注释投赞成票或反对票，就像维基百科遇到 Reddit 一样 but for the law from 2013 to 20123 selling for $650 million that's 但对于 2013 年至 20123 年的法律，售价为 6.5 亿美元 literally a 10 year overnight success that was literally us it took us 确实是我们一夜之间取得的十年成功 basically 10 years to get to a place where we had a product that was truly 基本上花了 10 年的时间我们才拥有了真正的产品 truly amazing but we know we also made mistakes there are times during that 确实令人惊奇，但我们知道我们也犯过错误 path where we thought we had extreme product Market fit where we thought 我们认为我们拥有极端产品的路径 市场适合我们认为的地方 everything was perfect at YC we have a diagram that describes the 10-year YC 的一切都很完美，我们有一张描述 10 年的图表 overnight success as the process after the launch after the adrenaline wears 一夜成名的过程是在肾上腺素耗尽后推出的过程 off you go into the trough of sorrow and The Wiggles of false hope one early 你一早就进入了悲伤的低谷和虚假希望的摇摆 moment we created a product that a number of Enterprise firms seemed really 当我们创造出一种产品时，许多企业公司似乎真的 excited about and this is you know back with machine learning and arici 很兴奋，这就是你通过机器学习和 arici 知道的 00:05 00:05 intelligence weren't nearly as powerful but it could still do pretty incredible 智力远没有那么强大，但它仍然可以做相当令人难以置信的事情 things for law firms like they can just drag and drop in uh set of documents and 对于律师事务所来说，他们只需拖放一组文件即可 would read through them and say based on what I've read here are the things you 会通读它们并根据我在这里读到的内容说你 need to read next um things you're probably missing that aren't in the 需要阅读下一个你可能错过的东西，这些东西不在 documents yet like cases regulation statutes that that y next so we early on 文件，例如案件监管法规，那是下一步，所以我们尽早 had a number of large law firms Enterprise clients who were super stoked 有许多大型律师事务所的企业客户都非常兴奋 about it and they started paying us 50,000 100,000 $150,000 per client and 关于这件事，他们开始向我们每个客户支付 50,000 100,000 150,000 美元， we got super excited about that and so we thought like just keep on scaling 我们对此感到非常兴奋，所以我们想继续扩大规模 there's a lot of big law firms globally um let's just hire a bunch of sales 全球有很多大型律师事务所，嗯，我们就雇佣一些销售人员吧 people and watch us grow and of course it turns out that not all law firms are 人并看着我们成长，当然事实证明并非所有律师事务所都 the same and not all are ready to buy immediately and quickly for new 同样的，并不是所有人都准备好立即快速购买新的 technology some are early adopters some are not um I'm sure this is true not 技术有些是早期采用者有些不是嗯我确信这是真的不是 just of law firms but of all customers so they started with larger clients and 不仅仅是律师事务所，而是所有客户，所以他们从大客户开始， then found that they had exhausted that set of customers but then focusing on 然后发现他们已经耗尽了那组客户，但随后将注意力集中在 smaller law firms it worked again until it didn't and then we also started 较小的律师事务所又开始运作，直到不再运作，然后我们也开始 00:06 00:06 focusing later on smaller law firms who saw extreme value in using artificial 后来重点关注较小的律师事务所，他们看到了使用人工技术的巨大价值。 intelligence at the time again them not as powerful as this today and applying 当时的智能又不像今天那么强大并且应用 that to their workflow because they don't have enough people right so 他们的工作流程因为他们没有足够的人手所以 they're they're by definition they're a small Law Firm not enough people not 他们是，根据定义，他们是一家小型律师事务所，人手不够 enough hours in the day anything they can make them work faster was 一天中有足够的时间，任何能让他们工作得更快的事情都是 appreciated and again went after that market and saw this influx of thousands 赞赏并再次追逐该市场并看到数千人涌入 of customers and we were celebrating like every day we had 100 customers a 的客户，我们正在庆祝，就像每天我们都有 100 个客户一样 day 400 customers a day a th000 customers in a day and it felt like 一天 400 个顾客 一天 1000 个顾客 感觉就像 again we were on fire and then some of our marketing channels just stopped 我们再次着火，然后我们的一些营销渠道就停止了 working as well and we we got the group of people who were responsive to the 工作也很好，我们得到了一群对问题做出反应的人 message and it got harder and harder and 消息变得越来越难 harder to reach that next group and grow load again but then as the business 更难到达下一组并再次增加负载，但随着业务的发展 waxed and waned they kept at it and then a breakthrough so we were really lucky 他们坚持不懈，然后取得了突破，所以我们真的很幸运 to get early access to gp4 before it come out like the brief history there is 在 gp4 发布之前抢先体验一下它的简史 that we've been working on like large language models actually for the last 实际上我们最近一直在研究大型语言模型 00:07 00:07 like five or six years at this point as soon as the Bert paper came out we saw 大概五六年了，Bert 论文一出来，我们就看到了 immediate applications to La they'd been experimenting with AI since 2016 but 立即应用于洛杉矶 他们自 2016 年以来一直在尝试人工智能，但是 getting access to gpt 3 and GPT 4 from openAI was the moment that allowed them 从 openAI 访问 gpt 3 和 gpt 4 是允许他们的时刻 to create their Mega product co- counil this is what product Market fit feels 创建他们的大型产品理事会，这就是产品市场契合度的感觉 like with this most recent breakthrough of the State of the art and artificial 就像最先进的技术和人工技术的最新突破一样 intelligence we're able to build a really incredible product one that for 凭借智慧，我们能够打造出一款真正令人难以置信的产品 our customers was like life-changing and we saw something that we've never seen 我们的客户就像改变了生活，我们看到了我们从未见过的东西 before where you start adding millions of dollars of Revenue a month you start 在您开始每月增加数百万美元收入之前 working with those same clients from years ago who may have taken 9 or 12 or 与几年前的相同客户一起工作，他们可能已经接受了 9 或 12 或 18 months to make a decision because they're a large Enterprise client make a 18 个月内做出决定，因为他们是大型企业客户 decision in a month and I think that's when we knew we had something really 一个月内做出决定，我想那时我们就知道我们真正拥有了一些东西 really really special and frankly more important than even the numbers it was 真的非常特别，坦率地说，甚至比它的数字更重要 just you can see it just talking to one of our clients the way they would light 只要与我们的一位客户交谈，就像他们会点亮的方式一样，您就可以看到它 00:08 00:08 up in a way that we've never seen before in any product we built I mean we were 以我们以前在我们制造的任何产品中从未见过的方式，我的意思是我们是 almost certainly going to Triple our Revenue in the course of this year and 几乎可以肯定的是，今年我们的收入将增加两倍 that's after 10 years of building the revenue we had before right again there 经过 10 年的努力，我们再次获得了之前的收入 are different levels to this kind of product Market fit Founders are always 此类产品的市场契合程度不同 创始人总是 asking us what product Market feels like the answer is when you hit it like that 问我们市场对什么产品的感觉，答案是当你像那样点击它时 you know when we got the chance to work at gbd4 maybe about six or S months 你知道我们什么时候有机会在 GBD4 工作的，大概是六个月或几个月 before it was publicly released we immediately saw that this is different 在公开发布之前我们立即发现这是不同的 for us we saw the raw capabilities of this AI to do human level work at a 对我们来说，我们看到了这种人工智能的原始能力，能够以较低的速度完成人类水平的工作 super human speed what that would ultimately mean for our customers is 超人的速度最终对我们的客户意味着什么 something that's really life-changing right to make an an AI assistant that 制作一个人工智能助手确实会改变生活 lawyers can delegate complex legal tasks to and have they get done really fast 律师可以将复杂的法律任务委托给他们并让他们很快完成 and at the you know same level of quality and reliability as you'd expect 您知道与您期望的相同水平的质量和可靠性 from somebody quite good working for you the key pattern we're seeing around the 来自为你工作的非常好的人 我们在周围看到的关键模式 very best llm based startups is this a golden demo that gets people to sign on 最好的基于法学硕士的初创公司是一个黄金演示，可以让人们登录 00:09 00:09 on the dotted line to become large dollar Revenue customers immediately 在虚线上立即成为大美元收入客户 because people see the value right away we would look at real cases with real 因为人们立即看到了价值，我们会用真实的案例来看待 data in the past and show how you could have immediately caught the fraud you 过去的数据并显示您如何立即发现欺诈行为 know upload all the emails and instant messages and so on from within this 知道从这里上传所有电子邮件和即时消息等 organization and ask questions like which of these emails might evidence uh 组织并提出问题，例如这些电子邮件中哪些可能会证明呃 potential fraud and it immediately Flags 潜在的欺诈行为会立即被标记 people kind of making jokes in this case it's about a case around Enron you know 人们在这起案件中开玩笑，这是关于安然公司的案件，你知道 failed company that was kind of known in the early 2000s for for rampant fraud 这家倒闭的公司在 2000 年代初因欺诈猖獗而闻名 all their emails are online and it would read through all of 他们所有的电子邮件都是在线的，它会阅读所有的 those and flag like hey here's an email where they're talking and this is 那些并标记为嘿这是他们正在谈论的电子邮件，这是 literal in like Cookie Monster talk as a joke about you know hiding assets and 就像 Cookie Monster 开玩笑一样，你知道隐藏资产并且 avoiding Auditors and special purpose vehicles and so on and another email 避免审计师和特殊目的工具等以及另一封电子邮件 that sarcastically calls Kenneth lay an honest man and the fact that the AI can 讽刺地称肯尼思是一个诚实的人，事实上人工智能可以 00:10 00:10 pick up on the sarcasm and highlight that to the to the lawyer to say hey 接受讽刺并向律师强调这一点，说嘿 this might be really important evidence was an example and and taking a step 这可能是非常重要的证据，是一个例子，并且采取了一步 back from that that the killer demo was doing that activity that reading a 从杀手演示正在做的活动来看，阅读 million documents finding answers and a few other like maybe half dozen others 数以百万计的文件寻找答案，还有一些其他的文件，可能还有其他六份文件 doing research reviewing contracts Etc so at the end of the demo you say for 做研究审查合同等等所以在演示结束时你说 the last 10 or 15 minutes I've done like four or five days of 过去 10 或 15 分钟我已经做了四五天了 work if not much more and lawyers kind of sat back in their chair and they said 工作，如果不是更多的话，律师们坐在椅子上，他们说 okay I get it like I get how AI can help me do my work better so 好吧，我明白了，就像我明白人工智能如何帮助我更好地完成工作一样 for those watching that's what good looks like a magic demo that shows that 对于那些观看的人来说，这就是一个神奇的演示，它表明了这一点 you can have five days of work squished down into minutes that's one pattern 你可以把五天的工作压缩成几分钟，这是一种模式 that is turning into a repeating one for every large language model based startup 对于每个基于语言模型的大型初创公司来说，这正在变成重复的情况 we see that it's going to win their market and build something huge the 我们看到它将赢得他们的市场并建立一些巨大的东西 golden magic demo one of the main reasons why Jak 金色魔法演示 Jak 的主要原因之一 00:11 00:11 case Tech succeeded is actually their grit and determination and also they 科技成功的案例实际上是他们的勇气和决心，也是他们 were constantly linking what they had to build to what customers wanted outcomes 不断地将他们必须构建的内容与客户想要的结果联系起来 to customers and they did this masterfully for their customers the 他们为客户巧妙地做到了这一点 lawyers but it turns out there's a lot of work kind of going from the raw model 律师，但事实证明，原始模型还有很多工作要做 to a product that lawyers can actually use we can upload thousands or millions 对于律师可以实际使用的产品，我们可以上传数千或数百万 of documents have to read all of them and tell you which ones are relevant and 的文档必须阅读所有文档并告诉您哪些是相关的并且 not relevant to what you're working on or for it to automatically do research 与您正在从事的工作或自动进行研究无关 for you and find the right answers out of a billion pages of cas's rules 为您从十亿页的 CAS 规则中找到正确答案 regulations and statutes that kind of scale and accuracy is really really hard 法规和法规的规模和准确性真的很难 at least still you know it's gb5 so I'll be I'll be opiated but you know we we 至少你还知道它是 GB5 所以我会吸鸦片但你知道我们 just kind of really like move fast building that product and I think one of 只是有点喜欢快速构建该产品，我认为其中之一 the things that never left us from the beginning days of YC is just a velocity 从 YC 成立之初就从未离开过我们的东西只是一种速度 00:12 00:12 of product and a velocity of hearing customer feedback iterating on it the 产品的质量以及听取客户反馈的速度 legendary scientist Louis pasteur once said in fields of observation Chance 传奇科学家路易斯·巴斯德曾在观察领域说过“机会” favors only the prepared mind and that's what casex did they started originally 只青睐有准备的头脑，这就是他们最初开始做的事 as a crowdsourced user generated content website but because they were prepared 作为众包用户生成内容的网站，但因为他们做好了准备 from building software over many years for the same customers the second large 多年来为第二大客户构建软件 language models appeared they were ready and the crazy thing is the impact of 语言模型出现了，他们已经准备好了，疯狂的是 llms might just be getting started so this is going to sound probably insane llms 可能才刚刚开始，所以这听起来可能很疯狂 to most people who hear it but I think the GPT technology is underhyped 对于大多数听过它的人来说，但我认为 GPT 技术被低估了 because what we see in GPT 4 specifically as a model and I'm assuming 因为我们在 GPT 4 中看到的是一个模型，我假设 the same will be true as new models come out in the state of the art advances is 随着最先进的技术进步中新模型的出现，情况也是如此 a machine that can uh read and understand and write and logic to some 一台可以阅读、理解、书写和逻辑的机器 00:13 00:13 degree at the level of a pretty good operation in postgraduate right um maybe 学位在研究生中相当不错的操作水平，嗯也许 a young pargal or associate a law firm or McKenzie or what have you and once 年轻的帕加尔或律师事务所或麦肯齐律师事务所或其他什么你有过一次 you figure out how to use that technology to with a high level of 你弄清楚如何使用该技术以高水平 accuracy and a high level of scale like review thousands of documents or 准确性和高水平的规模，例如审查数千份文档或 millions of documents you can all of a sudden take things that were necessarily 数以百万计的文件，你可以突然拿走那些必要的东西 human processes and apply it at scale through 人类流程并通过以下方式大规模应用 technology and that that is just so insanely powerful what we're seeing in 我们所看到的技术是如此强大 legal is for example the California Innocence Project that would get you 合法的是例如加州无罪项目，它会让你 know hundreds or thousands of applications of people who are presently 了解目前正在使用的人们的数百或数千个应用程序 in jail who are looking to prove their innocence and the applications are are 在监狱里想要证明自己无罪的人，申请是 thick it's like police reports that are very detailed and witness reports and 厚厚的，就像非常详细的警察报告和证人报告一样 trial transcripts and deposition transcripts and much else and they would 审判笔录和证词笔录以及其他许多内容，他们会 have to like personally read every single page of that 必须亲自阅读其中的每一页 00:14 00:14 individually and they still have enough people and not enough time so they have 就个人而言，他们仍然有足够的人，但没有足够的时间，所以他们 a four-year backlog to even evaluate cases right and with technology like 四年积压，甚至可以使用诸如此类的技术来正确评估案例 this that can read over thousands of pages in minutes and accurately tell you 这个可以在几分钟内阅读数千页并准确地告诉你 all the details of the case and who's innocent whatever you know you can cut 案件的所有细节以及谁是无辜的无论你知道什么你都可以删掉 down that for your weight time to like one year or one month that's like 把你的体重时间减少到一年或一个月就好了 life changing people are waiting in jail to prove their innocence right and 改变生活的人们正在监狱里等待证明自己的清白 that's just like a such a small example of what we think is going to happen in a 这只是一个很小的例子，说明我们认为将在 very big way when you compress the work of dozens or hundreds of people some 当你压缩数十或数百人的工作时，效果会非常大 sometimes the most drudgery Laden type of work and take it away and give an 有时是最苦差事拉登类型的工作，把它拿走并给予 equivalent or better result that's magic a lot of people are going to want that 同等或更好的结果，这是很多人都想要的魔法 magic and the tooling and developer tools necessary to bring that magic to 魔法以及实现这种魔法所需的工具和开发人员工具 the world is one of the current Mega opportunities out there for startups 世界是当前初创企业面临的巨大机遇之一 there's going to be a really rich ecosystem of of technologies that will 将会有一个非常丰富的技术生态系统 support Builders and I think this is going to look a lot like the cloud right 支持构建者，我认为这看起来很像云，对吧 00:15 00:15 to me GPT and other models is like a base layer of capability like like cloud 对我来说，GPT 和其他模型就像云一样的功能基础层 computing that a lot of companies if not all companies will plug into to some 许多公司（如果不是所有公司）都会将其插入到某些计算中 degree and there'll be another layer of technologies that help you get the most 学位，还有另一层技术可以帮助您获得最大收益 out of it Lang Chain's a great example and then there's going to be an Lang Chain 就是一个很好的例子，然后就会有一个 application layer built on top of that and each one of these folks provide 应用层建立在其之上，并且这些人中的每一个都提供 value and there's great businesses to build in each what we found kind of at 价值，并且在我们发现的每一个领域都可以建立伟大的业务 that last Mile right that of course like gbt 4 itself is really incredible but 最后一英里，当然像 GBT 4 本身确实令人难以置信，但是 how do you engineer it so that you can have thousands of users on the same time 你如何设计它，以便你可以同时拥有数千个用户 and is reviewing millions of pages of text all at the same time that's really 并且同时审阅数百万页的文本，这真的是 hard how do you make sure that it's not inaccurately saying something about a 很难，你如何确保它没有错误地描述某事 document with so-called hallucinations that's really hard how do you test that 带有所谓幻觉的文档，这真的很难，你如何测试它 what you're doing as you make alterations to your code or to the 当您更改代码或更改时您正在做什么 prompts you use when you're talking to the AI doesn't produce the wrong output 当你与人工智能交谈时使用的提示不会产生错误的输出 or hallucination that's also really hard we had to build a lot of that ourselves 或幻觉这也很难我们必须自己建造很多 internally and who knows maybe some somay some of those things will become 在内部，谁知道也许其中一些事情会变成 00:16 00:16 products but I also know that there's going to be a lot of really fantastic 产品，但我也知道将会有很多非常棒的产品 products that will support companies like just like there were things that 将为公司提供支持的产品，就像以前的东西一样 built on top of the cloud like koku so that's the good news what a time to be 像 koku 一样建立在云之上，所以这是个好消息，现在是时候了 alive even though Jake has reached the top of one Peak he's already encouraging 尽管杰克已经登上了他已经鼓励的巅峰，但他还活着 the next Adventurer you to step up to the mountain I think the thing I'd like 下一个冒险家你要上山我想我想要的东西 to pitch right now is is never been a better time to start a company and you 现在是创业的最佳时机，而你 know while we're here apply to YC and get the right advice to start off with I 知道我们在这里申请 YC 并获得正确的建议，然后从 I 开始 I probably sound a little bit crazy with saying this but I think it's an 我这么说可能听起来有点疯狂，但我认为这是一个 underhyped moment the more you dig deeper into this technology and what it 你越深入了解这项技术及其含义，就会被低估的时刻 can do and the kinds of problems it can solve for people the more extreme amount 可以做的事情以及可以为人们解决的问题种类越多 of white space you'll you'll likely see and so I would recommend folks who are 你可能会看到大量的空白，所以我会推荐那些 kind of sitting on the sidelines or playing around or hacking I think now is 我认为现在是坐在场边或玩耍或黑客攻击 the moment to really consider getting going and I think you're going be 是时候真正考虑出发了，我想你会的 massively rewarded for working with this new new technology and being on this 因使用这项新技术并致力于此而获得巨额奖励 00:17 00:17 ride case text is one of the biggest Mega wins in AI I am so proud to work 骑行案例文本是人工智能领域最大的胜利之一，我很自豪能够工作 with Jake early in his YC days and I can't wait to see what his team does 早年与 Jake 一起参加 YC 活动，我迫不及待地想看看他的团队做了什么 next I can't wait to see what you do next too that's it for this time I'll 接下来我也迫不及待地想看看你接下来会做什么，这一次我就这样了 see you next time 下次见