Transcription
Entrepreneurship itself, there are too many tests of human nature. Exposure and exposure into many human beings, more authentic and dark side. What you do now, what is the startup project like? An AI anime generation. Train many models yourself, then deploy lots of models. Hope everyone in the world can be on the phone, make the anime you want to watch. It has been established for 2 years. The current one, can we talk about the financing situation? I feel like I heard financing is quite amazing.
Well, it's okay. I got it anyway. There is still a lot of support in all aspects. Luckier. The investment queen of Silicon Valley, Sarah Guo, invested in you. Uh, yeah. He is our first institutional investor. It's the end of 2023. His investors also are particularly optimistic about your project. Well, the financing should be tens of millions, right? It's alright, I think, hahaha. I, I'm on financing. Time and effort spent, not so much. More or focus on this building and this product and model training book.
Then you now, how many people are there in the team? Five and a half full time. Contractors and those part-time, there are quite a few. People do some social media, do some content, or some data collection. Hey, I know you're 16. Come to America like this. Hmm, just, I'm curious. Came to the United States at the age of 16. Growing up here, what was the experience like? Wow, that was quite an experience. Where did you come from? Uh, China is Liaoning. Will the newcomers be uncomfortable? Ah, that, it was pretty uncomfortable. Quite uncomfortable. High school is a very amazing place. I think, first of all, I think American teens overall, his behavior and his values, indeed, in China, it's not the same. Well, domestically, I think most of them, in fact, everyone still pays more attention to this study. America, I think education, the variance is huge. Like what? Or it is very few schools, like him, it may be better than China's high-pressure education. The vast majority, it's actually just right. The other extreme, he doesn't care about you at all. You can do whatever you want. Right? But what about yourself, what kind of person do you want to be? It's up to you. Just good luck. That's it. Elite is very good, it's actually quite curly. Yeah, it's curly. Ordinary family words, it's also very flat.
For this question, we have a lot of friends. Parents will also ask. We say there are many entrepreneurs come and go. Their children are also considering, how old am I exactly? Sending children to the United States, it will be more suitable for his growth. Ah, good question. Because I am a case in point, but I can also see a lot. Some came earlier than me, some came later than me. These friends, I think junior high school, before and after high school, indeed, it's a relatively large fraction. After you graduate, you work at Facebook. Hmm, wow. So, working at Facebook, what was it like? I thought it was interesting. At that time, I thought Facebook is more vibrant. What year? Uh, 16 years. When I go, there were 10,000 people. Just what position? Worked on two major projects. At that time, I was working on that video ads. Hmm, advertising. Let users make the best video content and send it to Facebook. This involves how to make better tools. Some things involve how to do better asset management, do better this content creator and advertisers and matchmaking between users. He's interested in my career and a lot of things. The impact is the greatest. Including your current startup project, also related to this media to AI. In fact, I also make apps, make an application, make products. Still find one something you really like.
Hey, can I ask secretly? Working at Facebook, how much annual salary can I get? From Facebook, quite generous. Almost 200,000 annual salary. The lowest is generally about the same. It is also said that undergraduate graduates are a class of PhD student graduates, usually one level higher. Then there are industry hires, very, very special hires. Those hires mean, originally he was in his own industry or open source, very well done. Then use a specific purpose to recruit him. Usually also give something more special. Facebook in this regard, it's really him, very aggressive. A little bit in a few years. Facebook will be. Then is there any or some of the news you heard, like layoffs, or rather, what about salary cuts? The source is indeed there. Facebook is culturally, still a very founder-driven company. Many things are handled, may be more radical. It's not like a big factory. It is always easy for big factories to recruit people. It's very difficult to lay off people. Laws and regulations, then compensate or something. Yes, because many companies, in fact, both at some stage, overconfidence and optimism, recruited a lot of people. I found it very difficult to make people redundant. Talent density will be diluted. Slowly moving towards mediocrity. During the epidemic, maybe a little too radical, or everyone was very excited at the time. OK, especially after he changed his name, after changing to Meta. Hmm, change Meta is one thing. And at that time, rob people a lot. The years of covid. Oh, OK. Work during that time, very easy to find. Everyone is jumping ship. All the big factories are expanding their enrollment. Then I found out, hey, no, I don't need so many people. A little tricky. What do you do? Then everyone is actually downsizing in turn. Yes, yes.
Hey, this reminds me of just some time ago. Isn't OpenAI live streaming? There are two Chinese. Talk right there. Hahaha, then and then it was poached. Poached by Meta to Xiaozha. Spent a lot of money. It took 100 million. I seem to have heard a lot of people, 100 million. So he, I feel that he is interested in this Asian talent is quite important. He is in some ways more like Musk. I think he's got it pretty clear. I know very well who is the real worker. That reminds me of Silicon Valley is actually many large companies. The executives are all Indian. That's a lot. What CEO? Chinese people work here, a little part-time job and then it's hard to go up. See the company indeed. When I was working, I think there are many, whether it's a product, or an ad, still core business. In those, in fact, the Chinese do management, even the proportion of senior executives is very high. Compared to other companies. OK, if you think so. We Asians in Silicon Valley, is there this here? What about the ceiling of the workplace? There are indeed some industries. I think there is. Chinese people may have stronger personal abilities, exceptional. He may not be too bothered or don't like it very much. Management and short time. But there is this thing, it's important. So it has a ceiling. Yes. AI industry, I know a lot of Chinese people. It's really good. Chinese people are very nice. Status and influence, how is it? Very well done. I think it already is half of the country or even more. Oh, I heard about this industry. Half of them, probably all Chinese. Contributing. Yes, I do. This proportion, maybe it's half or even more. Wow, that's amazing. Half is very powerful. We first talk about hardware, then we talk about software, then we talk about model training. The largest GPU computing and chip companies in the United States, Jensen Huang. Right, Nvidia. Su Ma. Right, the strongest. Hahaha. These two are still cousins. I remember these two are relatives. Wow, so these two are relatives. Then Intel is also the largest. These four or five companies, now either founder or CEO, are all Chinese. Then you say, doing software and models, because I think AI-related things, it needs several qualities. One of the qualities is of course being hardworking. So this is one aspect. You have to be down-to-earth. The second aspect is that he indeed has a good systematic mathematical education. This is very important. Americans don't do well in this. You say we Chinese are better at math. Math is still very important. Although I think the math used in AI is not very profound, but he still has to have it. This thinking must be there. Uh, yes. And the overall basic education of Americans in mathematics is a mess. It's completely not good. So, so American STEM majors, this kind of science and engineering related majors, the vast majority of their talents are introduced through immigration. Yes, yes. He doesn't have the ability to cultivate enough mathematical talents locally. So, these factors combined, you will find that the overlap with Chinese people is very high. So I think among Chinese people, there are many who do AI research very, very well. Whether it's AI inference, or algorithm and modeling related. Right, like we see OpenAI, these talented people are poached back and forth, and they are fought over. Yes, we Chinese are very sought after in Silicon Valley. Uh, very sought after.
Can you talk about the AI tools you use most often? We basically use all AI tools. Our entire team bought the highest tier subscription. That ChatGPT Pro, what about that? Anthropic, uh, Grok, Google's Gemini. Others, there are also some open source ones. Anyway, we use those too. And even from video generation to image generation, all access to basic models. We have all of them. We buy them all because it's very important to maintain high sensitivity to this thing. My requirement for myself and our team is that when something important comes out, you have to start using it on the first day. There is a strong contrast because you have used them all. Then which one is better? The same type of ChatGPT compared to Gemini, DeepSeek. I've also used them. How do these three compare? Which one do you like? I think the biggest characteristic is this: there will be many advantages in the world. Different model service providers and providers focus on different scenarios, and their strengths are different. But if you want to answer some very complex math problems, I generally use GPT-4 Pro or Gemini 2.5 Pro because it gives more reasoning time and its context sense is better. So different models are good at different things. And DeepSeek R1's characteristic is that it is more broad. Some conversations, normal conversation content production, maybe ChatGPT feels like it will secretly rewrite it to make it look very mechanical and bland. Sometimes DeepSeek R1 in this regard, if you adjust it slightly, it can be very interesting. It depends on what you are doing. You may find that after using these models, there are one or two that are obviously more comfortable to use because they are optimized and customized for the tasks you care about. Because I may interview more traditional enterprises, e-commerce, factories, sometimes I see the development of AI and I'm a little anxious because they are completely blank. They want to know, how can AI help my business? Will I say, with AI rising, my business will not be able to continue? How do you think AI can help traditional enterprises? I think traditional enterprises have the biggest AI opportunities. The maturity and development of a technology have a cycle. Now it is in the stage of the AI transformer cycle. It is in the early stage. I think it is an early stage. Discovering the AI-native scenarios and capabilities, it runs the fastest. For example, writing code and doing math problems. It is very suitable for AI to do. Second, people who do AI are most familiar with these two things. So they will do these two things very competitively. They do it very well. But very, very many. Very special vertical models. The best technologies accumulated by people before are applied in a specific field. Unless you truly understand this field, or in this field, a general AI researcher cannot do it well. It is applied to the real traditional enterprise applications. If it is done well, maybe it will not be so fast. It will definitely take time. I think maybe after five years, some large traditional enterprises will be able to use it and truly roll it out. Today, we think AI is good. I think AI can first replace some paperwork, foundation documents, assistant work. This is the most basic. And there is another point, it can help organize the industry data into a better search engine, better data processing. Traditional enterprise bosses don't need to be anxious. They can also think about how AI can help me do what I do. Think a little more. And find corresponding technical personnel. Maybe they can break through and come up with some new things. I think it's about developing a habit of using AI every day. If you have this habit, your touch and understanding of it will be much better. How much time do you spend using AI every day? Basically, I use many of my subscriptions. It tells me you're using it again, we're losing money, can you stop using it? I basically use it with high intensity. We are not in the AI industry. For us ordinary people, how can AI change our lives? Or how can we embrace AI? Everyone is quite anxious. Everyone says AI, how will the future change? Then your job is almost gone. It depends on your specific tasks. I don't think you need to embrace it for the sake of embracing it. It's best to have a habit. There are some problems. Interact with AI more. See what AI can do and what it can't do. Because there are two situations. I think one situation is that first, in your own professional field, your ability and knowledge are already strong. At this time, AI can play the role of an assistant. Its ability to assist is very strong. For example, sometimes I read papers, run experiments. I throw the paper and the code over and say, you, you read it for me, write a summary, OK? Then you search for similar papers, how everyone talks about it. Then you make a report. Sometimes it's wrong. But as a human, I can judge which one is good and which one is bad. It saves me a lot of time and energy for brainstorming. There is another situation, you are not familiar with the field, you don't understand it, but AI can generally bring you to an average level. In some fields, it can exceed the average level. It brings you to a qualified level in unfamiliar fields. You can quickly obtain some information. As AI technology continues to develop, it will indeed replace many people's jobs. If a person's job is completely repetitive, monotonous labor, it will indeed be replaced by AI. Now many people are educated. Then I want to choose what major for my child? With your current experience and wisdom, wisdom, what major would you choose for your child to study with more potential, so as not to be replaced by AI? This matter has nothing to do with AI. The major he should choose should be the one he likes the most. Otherwise, I think it is very difficult to have a sustained self-sustaining motivation to do it. For example, and you bet on a major based on a trend, you may find that you don't get good results in the end. Right? Especially in China, what is popular in finance, everyone goes to study finance. After studying finance, you come back and find that there are financial practitioners everywhere. Then civil engineering is popular, go to study civil engineering. Then you come back and find that this is not building houses anymore. Then civil engineering can only go to construction sites to do manual labor. These situations will happen. In this field, those who truly have achievements and know what they want to ask and explore, AI is their best assistant. I know you invested in Nvidia very early. Oh, right. What year did you buy it? Let me think. End of 2022. End of 2022. End of 2022. But now it has grown very high. It has grown quite well. Right, right. So why did you have such good sense to think it, this can have great potential and is worth investing in? There are a few points. First of all, I am not a person who pays much attention to and is good at investing. Because for example, I think to be a good investor, you have to pay attention to a lot of current affairs, news, and then today, where is the war, where is what, and so on. I think this is too much for me to pay attention to. So I simplify it. I only pay attention to things I can completely understand. And Nvidia was lucky for me. Because I worked at Facebook for three years doing AI infrastructure. Every day, we were buying servers, buying those Nvidia machines. I knew very early on that Facebook was buying a large number of GPUs. And all my colleagues, my good bosses and good mentors are now at Nvidia. Hahaha. This is also an early entry, right? Yes, yes. It's not that they are at Nvidia. My point is, they are at Nvidia. Say, senior, something like that. Right. So this is why people in Silicon Valley's big companies are particularly good at buying stocks. It's about people. I have another friend from a big company. I've been advising him to buy Nvidia for many years. And he always tells me he wants to short Nvidia. Alas, he shorted it twice. Anyway, I don't know what he's doing anymore. He's the opposite of me. He likes to watch financial bloggers every day. Oh, OK. I just advise him, I say, you watch less of this stuff. If this person really makes money, who will record videos for you every day, right? I say, don't listen to these people every day. Uh, I also often watch YouTube, this kind of finance. Watch what recommendations they have. This kind of, is it not good? Those on Xiaohongshu. I think it's still better to base it on your own professional understanding and judgment. Because this person is fickle, listening to external news, it is difficult for you to have judgment and determination. I think this is very important. There is a group of people in the world, for example, those who bought Bitcoin very early and have been holding it, I think they are generally not lucky. I think they truly understand it. They have their own understanding and faith in this matter. It fell so hard in the middle, and then rose so hard. Being able to hold on is really. So following the trend, I am not good at it. I am not good at following this kind of thing. So according to your current experience and understanding, do you have any listed companies that you are optimistic about? If you were to buy stocks now, buy those three listed companies, what would you buy? I think from my own perspective, holding Nvidia is pretty good. Hahaha. I, I, I, the day I can buy B200 cheaply, I think that day I can consider whether to sell it. But not now. Now good cards are really hard to buy. They are in short supply. OK, I understand. But I am still quite optimistic about Apple. I think Apple's advantage in chips and its application scenarios is really huge. Are you married now? How did you meet your wife? Classmates. Classmates. Because I know it's quite difficult to find a girlfriend in Silicon Valley. Everyone says it's difficult to find a girlfriend in Silicon Valley. And when I came to Facebook, we had a bootcamp. And I found that my male colleagues all had girlfriends. They all have girlfriends. They all have them. I, at that time, the same batch, there are older and younger ones. So from a female perspective, everyone says, hey, how can I find a high-quality man in Silicon Valley? What kind of girls do Silicon Valley men like? Most of them are single. I think as long as it's a girl. Hahaha. Girls coming to Silicon Valley will definitely find a partner! Really, really. I think Silicon Valley is a typical example. I think the premium for women is very high. For example, I am a daughter myself. My wife was very happy when I came out. Uh-huh. My wife was very happy. Tell me, do you know that Asian girls are very popular in America? It sounds like Asian men's status in America is a bit low. Hahaha. This is difficult. And Asian women are actually quite popular in America. Yes, I also think they are very popular. Look at how many fund managers, company founders, their wives are Chinese or Asian. I think everyone is not stupid. Everyone knows that Asians are still excellent. Asian girls, I think especially so. Whether it's intelligence or beauty. Some people will say that Chinese women, Asian women, may be called leftover women in China. But in America, they suddenly become the top of the food chain. What do you think of this issue? I, I really think that in America, of course, I don't want to be racist, but I'm just saying that among all ethnic groups in America, I really think Asian women have a very high status. There will be more opportunities. When you socialize and do many things, I think your acceptance will be higher. Stronger. Yes. They say my boss, he is an Asian male face. When I talk to others, they ignore me. Hahaha. My subordinate, an Asian woman, when I talk to her, they talk very well. Yes. I just feel that I, as a boss, am despised. Hahaha. Some startup projects, how do your wife and family members view them? Very supportive, very supportive. Because I belong to the type that my family has never controlled me, but has always supported me. What university I want to go to, what major I want to study, it's all my own decision. For example, when you left the company to start a business, I believe that decision was also a very important decision. Yes, yes. Did you discuss it with your family at the time? Of course, we discussed it. But my characteristic is that I found that after thinking about some things clearly, when making decisions, I make them very quickly. After making them, I can also maintain them for a very long time. When I wanted to resign from Facebook, I told my wife, I said, I don't want to work anymore. I think I want to go to Nesco. I think it's better there. My wife asked if I had thought it through. I said, I've thought it through. About 5 to 10 minutes. She said, OK, let's go. Then I told my family, I said, I'm going to change jobs. My family asked where I was going. I said, ah, to a startup company. Is it reliable? I said, I don't know. But I think it's okay. My family said, then do what you want. But for entrepreneurship, my wife thought about it for a longer time. She thought for a day. But what she mainly concerned about was not whether the intensity or labor of entrepreneurship could be done. She felt that entrepreneurship itself tests human nature too much. You will encounter many situations where, perhaps when interacting with colleagues and friends you knew before, you will be exposed to many aspects of human nature that are more real and dark. So after you truly started your business, did you really encounter such scenarios as she thought? Indeed, it is. You have to go through it. You have to go through it. Why do you think Silicon Valley can give birth to so many powerful technology companies? What are the differences in the soil and culture here compared to other places? Good question. First, it's the environment in all aspects. For example, you may need several conditions. One is that there are good talents locally. Uh-huh. Right? So the Bay Area has UC Berkeley and Stanford. Right? So its access to schools will have many interesting things. And policy is also important. For example, in California, there is no non-compete agreement. If you change jobs, you cannot be restricted by a non-compete agreement. I just discovered this recently. In many places in China, if you change jobs, the non-compete agreement will restrict you. You can't change jobs your whole life. OK. So the big companies here are all jumping around. It's normal to jump around. Many times, you are working on something, and as people flow more freely, many times, what works and what doesn't work, many information things may be faster. Thank you everyone. If you like this video, please subscribe, like, and forward. This will be of great help to us. It's quite difficult to find a girlfriend in Silicon Valley. What kind of girls do Silicon Valley men like? Most of them are single. I think as long as it's a girl. Hahaha. Girls coming to Silicon Valley will definitely find a partner! Really, really. Hello everyone. We are now in Silicon Valley. Sitting next to me is Jiao. He is a post-90s entrepreneur. He immigrated to the United States at the age of 16. He studied high school here. After graduating from college, he joined Facebook, a big company. His salary was quite high. Then he joined a venture capital enterprise. Now he is starting his own AI-related project. I'm very curious. What is it like to start a business in Silicon Valley? What is the status of Chinese people in the AI industry? Hello everyone, my name is Dong Jiao. How much annual salary can you get working at Facebook? Facebook is quite generous. The lowest is generally about the same... What is the status and influence of Chinese people? I think it's already half of the country or even more. The four or five largest companies now, either founder or CEO, are all Chinese. Uh, Nvidia, Su Ma, are relatives. Chinese people are better at math. Math is very important. The overall basic education of Americans in mathematics is a mess. It's completely not good. We Chinese are very sought after in Silicon Valley. Uh, very sought after. Silicon Valley is truly a place where women have a very high premium. In China, they may be called leftover women. But in America, they suddenly become the top of the food chain! Then Nvidia was lucky for me. Why are people in Silicon Valley's big companies particularly good at buying stocks? For us ordinary people, how can AI change our lives? Or how can we embrace AI? I think traditional enterprises have the biggest AI opportunities. Maybe only after 5 years. Now many people are anxious. Then I want to choose what major for my child? How old am I exactly? Sending children to the United States, it will be more suitable for his growth.
就这个比例来说，也许一半或者更多。哇，这令人印象深刻吗？一半的战斗？非常强大。所以我们从硬件开始。然后我们谈论软件。我们说，“好吧。这个模型训练，现在美国最大的那些，进行 GPU 操作。还有黄仁勋的芯片，是的，呃，英伟达。苏妈。是的，最好的。哈哈哈。这两个还是表兄弟。我记得这两个是亲戚。哇，所以他们有亲戚关系。然后是英特尔。也是最大的。这四个或五个实际上，现在要么是创始人，要么是 CEO，实际上是中国人。然后你说，如果你做软件和模型，因为我认为与人工智能相关的东西，需要几个特点。其中一个特点，当然是勤奋。所以事情是这样的。一方面，你必须更务实。第二个方面，他确实有一个更好的系统。数学教育很重要。这个美国人做得不好。你说我们中国人更擅长数学。擅长数学很重要。虽然我认为它在人工智能中的应用，不是特别高深的数学。但他仍然必须拥有，只是这种思维。呃，是的。那么美国人的整体基础教育，在数学方面，如果一团糟，根本行不通。所以，所以美国人的蒸汽专业，这是科学和工程系，相关专业，他的绝大多数人才，都是由移民引进的。是的，是的，是的。他自己国内无法培养足够，这种数学人才。是的。所以？这些因素的结合，一起的话，你会发现，这和中国人，重叠的比例其实非常高。是的，所以我认为中国有很多，人工智能研究，非常特别。非常好。无论这个人工智能推理，还是这个算法，与这个建模相关。我们看到的 OpenAI，这个令人惊叹的人才，被挖掘出来了。那相当不错。是的。对我们中国人来说，他们在硅谷非常受欢迎。呃，非常受欢迎。你可以聊聊，你最常使用的，人工智能工具是什么？基本上所有的人工智能工具，我们整个团队都买了，最高级别的订阅。是什么？ChatGPT Pro？Anthropic？嗯，Grok？Google Gemini？还有一些开源的。我们反正都用。然后甚至从视频生成，到图像生成，所有都访问基础模型。我们都在关注。我们都买。因为这事关，保持高度的敏感性，非常重要。我关心我自己和，我们团队的要求是，有一个更重要的，事情一出来，你必须在第一天就开始使用。有一个强烈的对比，因为你已经使用了。哪个会更好？同类型的 ChatGPT，专门针对 Gemini。我也用过 DeepSeek。这三个怎么样？你喜欢哪个？事实上，我认为最大的特点是，世界上有很多优势，不同的模型服务提供商和提供商，他关注的场景，他的优势是不同的。但是，如果你想回答一些问题，非常复杂的数学问题，我现在通常使用，GPT 4 Pro，或者 Gemini 2.5 Pro。因为他的推理，需要很长时间。还有他的语境感知。所以不同的模型，它擅长的地方是不同的。DeepSeek R1 的特点是，它很广泛，一些对话，正常的对话内容生产。也许 ChatGPT 会认为，这会偷偷地重写，让它看起来，非常机械。平淡无味。有时 DeepSeek R1，如果你稍微调整一下，他能做的事情，真的很有趣。这取决于你做什么不同。你很可能会发现，在你使用了这些模型之后，有一两个，显然使用起来更方便。因为他和你，关心这个任务，优化和定制，做得更深入。因为我可能会采访，一些更传统的企业，电子商务、工厂。有时我看到人工智能，这个发展也有些焦虑，因为他们，完全是空白的。他们想，人工智能到底能做什么？如何帮助我的业务？我会说，然后人工智能来了，我不能做我的生意。你认为传统企业，人工智能的机会是最大的吗？我认为传统企业，人工智能的机会是最大的。一项技术，成熟度和发展，有一个周期。现在在一个，这个人工智能 Transformer 周期，的阶段。萌芽阶段。我认为这是一个早期阶段。找到最接近的，这个人工智能原生，一些场景和能力。在里面运行得最快。比如写代码。还有做数学题，非常适合人工智能。那第二个呢？人工智能人士，最熟悉这两件事。所以他会把，这两件事做得，非常卷。是的，做得很好。但是很多，很多。一个非常特定的垂直类别的模型，人们以前积累了，很多最好的技术。但它用在一个，特定的领域。除非你真的了解这个领域，或者在这个领域，通用的 AI 研究员，他做不好。它适用于真正的传统，企业的应用。如果做得好，是的，也许不会那么快。对他来说，他肯定需要时间。我认为也许五年后，才会有一些大型的，传统企业可以使用它，并且真正普及。今天我们对人工智能感觉很好。我认为人工智能可能对传统行业有用。首先，它取代了一些文书工作，嗯，基础文件？这个助理的工作，是基础性的。还有一件事，那就是，它可能会帮助，把这个行业的数据，整理得更好。更好的搜索引擎，更好的你的数据。数据处理更好。传统企业的老板们，不要担心。你可以思考，说我做的，也许人工智能可以帮我做。嗯，多想一点。然后找到合适的技术人员。也许你自己，就能有突破。新的东西出现。我认为是，培养一种，每天使用人工智能的习惯。是的，你这样做。你的触感，以及对它的理解，会好得多。然后你现在每天使用人工智能。需要多长时间？我有很多，我会使用订阅。他告诉我，你还可以用。我们亏钱了。你能停止使用吗？我基本上高强度使用。我们不在人工智能行业。对我们普通人来说，人工智能是什么样的？能改变我们的生活，或者我们如何拥抱人工智能？人们其实挺焦虑的。每个人都在谈论人工智能。未来会如何改变？然后你就会失业。然后就看你了。具体的任务。我认为不言而喻，拥抱不是为了拥抱。最好是有一个，只是一个习惯。有一些问题，没关系，和人工智能一起，互动。看看人工智能，可能会实现什么。也许不会。因为有两种情况，我认为一种情况是，首先，你自己在，专业领域，事实上，能力已经，知识已经更强。嗯，这次人工智能可以为你，扮演的角色是帮助，他的帮助能力非常强。比如我现在，有时我读论文，做一些实验。我把那篇论文，和那个代码一起扔进去。我说你再给我看看，你给我写个总结，好吗？然后你去，搜索类似的论文。你们说了什么？然后你把这个东西，给我一份报告。有时会出错。但是作为人类，我可以分辨，哪个更好。哪个不好。节省我大量，头脑风暴的时间。还有一些情况，你在这个领域是新手，不了解，但人工智能可能会带你，拉到一个接近平均水平。在某些领域，它可以超过平均水平。把你陌生的领域，提升到你合格的阶段。很快就能获得一些信息。人工智能技术的不断发展，它真的会越来越多地，取代很多人的工作。如果这个人的工作是完全重复的，单调的劳动，它确实会被人工智能取代。如今，很多人在教育。那么我会给，我的孩子选择什么专业？以你目前的经验和智慧，智慧，你认为？如果是你的孩子，你会为他选择什么专业？会有更多的潜力，而不是被人工智能取代？这与人工智能有关，我认为关系不大。他应该选择的专业，应该是他最喜欢的。哦，怎么样？事实上，我认为，他很难有持久的自我维持的动力去做。比如，你去根据，一个趋势去赌一个专业，事实上，你经常会发现，你得到的结果可能不是，一个好结果。你尤其是在家里，什么金融热？大家都学金融。学完金融后，回来发现到处都是金融。然后土木热，学土木工程。然后回来，发现这房子没盖。然后土木工程，你只能去工地，吃土。那会发生。在这个领域，真正有所成就。而且你知道你想问什么，以及探索的人。我知道你早期，投资了英伟达。哦，是的，你是什么时候买的？我记得是 22 年底。22 年底。22 年底，但是，它现在相当高了。看起来不错。是的，是的。那么为什么，你觉得它有巨大的潜力，所以值得投资？嗯，有很多次。首先，我认为我不是一个，非常关注和擅长投资的人。因为我，比如，我认为一个真正好的投资者，你必须关注很多时事。新闻。今天？看看战争。然后呢？等等。我认为这，我很难关注。这太多了。所以我就简化了。我关注，我完全能理解的东西。然后英伟达算，我运气比较好。因为我，那个 Facebook，Airinfar 已经做了三年了。每天是什么？购买服务器？买那些，那些英伟达机器？我早就知道 Facebook 后来，大量购买 GPU。而且我现在，我所有的同事，我的好老板和，好导师，现在都在 NVD。哈哈哈。这也是一个比较，早期进入，对吧？是的，是的。不是说他们在英伟达。我的意思是，人们在英伟达。其他人是在英伟达。什么样的高级？是的，所以，为什么？硅谷一些大厂的人，他们尤其买股票。这取决于人。我另一家大厂的朋友，我劝他买英伟达。很多年了。然后他每次都跟着，我说他要卖空英伟达。哎呀，我只是想让他，卖空了两次。总之，后来，我不知道他在做什么。只是嗯，他和我相反。他每天特别，我喜欢看财经博主。哦，好的。我会劝他，我说你应该少看这种东西。这个人真的赚钱。谁每天给你，录视频给你看，对吧？我说不要每天，听这些人。嗯，嘿，我也看很多 YouTube。啊，这种财经，看看他们说什么，他们推荐。这种嗯，不行吗？小红书的。我认为，仍然基于，你自己的专业理解，更好，有判断力。因为这个人是多余的，听外面的新闻，其实很难让你，判断和决定。而且我认为这很重要。有几个，比如比特币很早就买的人，一直持有不卖的人。你认为你能做到吗？通常不是运气。我认为他真的理解了。在这个事情上，有自己的理解和信念。是的，中间跌得那么厉害，然后又涨得那么厉害。真的很好持有。所以我跟风，我特别不好。不擅长这种事情。那么根据你现在的，经验和理解，你认为？你看好哪家上市公司？比如说你现在买股票，买那三家上市公司，你认为会买什么？我认为反正，从我自己的角度来看，就拿英伟达来说，它相当不错。哈哈哈。我，我，我。哪天能便宜？我买了 B200。我认为那天可以，考虑是否卖出。但现在还不行。现在好的卡，真的很难买。供不应求的那种。好的，明白。但是苹果其实，我还是挺看好的。我认为苹果，它的芯片和它的，应用场景的优势，真的，真的很大。那么，你结婚了？你是怎么认识你妻子的？同学。嗯，因为我知道，在硅谷找女朋友，其实挺难的。正如大家所说，在硅谷很难找到女朋友。然后我去了 Facebook。当时我们，有一个读书营。然后我发现我，所有的男性同事都有女朋友。都有女朋友？我当时在同一个班，年纪比较大。有各种各样的年轻人。所以从女生的角度来看，大家说嘿，我怎么能在硅谷找到，优质的男生？你觉得硅谷的男生怎么样？什么样的女生会喜欢？大多数单身。我认为是女生。哈哈哈。女生来硅谷肯定单身。是真的。是真的。我认为硅谷典型，就是我认为，一个女性溢价非常高的土地。比如说我有一个女儿，我自己，我。当我的女儿出来的时候，我妻子其实很高兴。嗯哼。我妻子很高兴。告诉我。你知道这个吗？这个亚洲女孩，在美国生活比较好。听起来亚洲男性，在美国土地，有点低。哈哈。嗯，这很难。然后……亚洲女性其实在美国，很受欢迎。是的，我也感觉很受欢迎。你看多少？什么类型的基金？什么公司的创始人？他的妻子是中国人吗？还是亚洲人？我只是认为，你并不愚蠢。也就是说，每个人都知道，事实上，亚洲人仍然很优秀。亚洲女学生，我认为尤其如此。无论是智力还是美貌。有些人会说，啊。中国女性，亚洲女性，在中国可能被称为剩女。但在美国，每个人都会，突然变成食物链的顶端。你对这个问题有什么感觉？我真的，在美国，当然。我不想成为种族主义者，但我说，在美国所有族裔中，我真的认为亚洲女孩地位很高。嗯，会有更多的机会。是你社交，你做很多事情。我认为大家的接受度会高得多，更强。是的。他们说我是一个老板，我有一个亚洲男性面孔。我会和别人说话，别人不理我。哈哈哈。哦。我的下属，一个亚洲女性，我会和他说话。他们聊得很好。是的！好的。我只认为，我被一个老板鄙视了。哈哈，是的。一些创业项目，你妻子？你父母怎么看？非常支持，非常支持。因为我属于那种，我在家里被忽视，但非常支持我的人。我想去什么大学？我的专业是什么？都是我自己的决定。比如，你离开公司创业，我相信这个决定，是一个重要的决定。是的，是的，是的。你当时和家人商量过吗？肯定商量过。但我会发送我的特点。可能会有一些，在弄清楚之后做决定。我会很快完成。你也可以在完成后，进行非常长期的维护。当我想要离开 Facebook 时，然后我告诉我的妻子，我说嘿，我不想做了。我想走。我想去 Nesco。我认为那里更好。我妻子让我弄清楚。我说我弄清楚了。大约 5 分钟， 10 分钟，她说好的。我们走吧，然后我会告诉我家人。我说这个。我要跳槽。嗯。然后我的家人问我，我要去哪里。我说去，去创业公司可靠吗？我说我不知道。但我认为还可以。家人想说，那如果你想做就做吧。但是如果你创业，确实我妻子，想得更早。她想了一整天。但她想了一天，告诉我你的主要担忧，不是我认为，这个创业的强度，或者疲劳的程度。好的？她认为，是创业本身，对人性的考验太多了。他会遇到很多，也许你以前的同事和朋友，你知道的。相处时，你会接触到很多，人性的比较，真相和黑暗面。所以你真的，创业后，真的遇到了，正如她所愿，这个场景。就是这样。就是经历它。是的，你为什么认为，硅谷能够孕育出如此多，令人惊叹的科技公司？这里的土壤和文化，包括会有，它与其他地方有什么不同？好的问题，一个仍然是，它环境的各个方面。比如，你可能，你需要这么多条件。一个最好是，有更好的本地人才。嗯哼，对吧？所以至少在这个湾区这边，有加州大学伯克利分校，斯坦福大学在这里。是的，对吧？所以他接触学校，很多乐趣。有些东西会出现。然后政策也很重要。以加州为例。他没有。就像他没有竞业限制协议？如果你换工作，你不能使用你的竞业限制卡。我最近才发现这一点。很多时候在中国，你的公司，你可以换工作。他的竞业限制协议，会卡住你。你一辈子都不能跳槽。好的。所以这里的大厂，都在跳来跳去。跳来跳去很正常。你经常，你做了一些东西。你在做什么？然后大家搬家。更自由的话，事实上，很多时候，什么有效，什么无效，这有很多信息。可能更快。非常感谢。如果你喜欢这个视频，请务必订阅、点赞和转发。这将极大地帮助我们。人工智能是它最好的助手，这里的钱真的值得花。技能总是说，你是否有对世界的好奇心，以及推理和探索问题的能力？