70 years on - where would the world be without Hirohito

Transcript 0:00 让我们以热烈的掌声 0:01 欢迎黄仁勋先生和王坚先生登台 0:05 现在让我们以热烈的掌声欢迎Jason 0:08 韩和王先生上台 0:17 王坚先生是中国云计算领军人物 0:20 阿里云创始人 0:21 现任之江实验室主任 0:23 王先生 0:24 季军一直是中国资本形成背后的推动力 0:27 尤其是在云计算中 0:30 王先生和王先生在炉边聊天 0:34 下来是黄先生和王先生的炉边谈话 0:39 两个最有前沿关注的视野的人 0:44 大人物将进行谈话 0:49 good morning good morning everyone 早上好大家早上好 0:51 大家好 ha 0:53 uh so this Jason 呃所以这个Jason 0:54 and welcome to supply chain expo 欢迎来到供应链博览会 0:57 and good to see you again after a long time okay 很高兴在很长一段时间后再次见到你，好吗？ 1:00 so i have written down my question on my phone 所以我在手机上写下了我的问题。 1:02 the the the first time we met in Beijing was what year 我们第一次在北京见面是哪一年 1:08 a long time ago 很久以前 1:09 yeah it's around two thousand twelve 是的，大约在两千十二岁左右。 1:13 uh thirteen at that time 呃那时候十三 1:15 uh yes about almost ten years ago i was in and 呃，是的，大约十年前，我在 1:18 and and also 而且而且 1:19 i'm really glad you know when i visit you in the silicon valley 我很高兴我去硅谷看你的时候你知道 1:23 you are really the person okay 你真的是没事的人 1:25 you are really the person 你真的是那个人 1:27 to talk about your company's technology so 谈论贵公司的技术 1:31 thank you for your time when i was in silicon 谢谢你在我硅的时候抽出时间 1:33 you showed me your company 你给我看了你的公司 1:35 and you know at that time 你知道在那个时候 1:38 i really found the founder of a company is very important 我真的发现一个公司的创始人很重要 1:42 and and you can see your passion about the the work 你可以看到你对工作的热情 1:46 you're working on that yeah 你正在努力，是的 1:47 and at the time when we first started talking 在我们刚开始谈话的时候 1:51 we were talking about computer graphics 我们在谈论计算机图形学 1:53 yes 是的 1:53 and mobile devices you're right 和移动设备，你是对的 1:56 right and so that was twenty twelve 对，那是二十二岁。 1:59 and you probably saw in the video just now yeah 你可能在刚才的视频中看到了，是的 2:02 i came to China to talk about kuda for the first time 我第一次来中国谈库达 2:06 in two thousand and seven 在两千零七年 2:08 you are yes 你是是 2:09 好久以前啊 好久以前啊 2:10 that's a long time ago really incredible and so 那是很久以前的事了，真的很不可思议，所以 2:13 it's great we've known each other a very long time 我们认识这么久真是太好了 2:16 and so thank you good to see you again 所以谢谢你，很高兴再次见到你。 2:18 nice to see you again and a story van can they hear you are 很高兴再次见到你和一辆故事车，他们能听到你吗？ 2:21 you sure 你确定 2:22 yeah remember the first time 是啊记得第一次 2:24 they might not listen your time is actually 他们可能不会听你的时间实际上是 2:27 in the in the Los Angeles 在洛杉矶 2:29 that was in the siggraph 那是在签名中 2:30 okay that was really really long time ago 好吧，那是很久以前的事了。 2:33 and so you invented you invent the gpu 所以你发明了你发明了gpu 2:39 and and change the landscape of the graphics area 并改变图形区域的景观 2:44 now we have ai so it is incredible journey yeah 现在我们有了人工智能，所以这是一段不可思议的旅程，是的 2:48 so my first question for you is really about the the technology 所以我的第一个问题是关于技术 2:53 and you know ai is a buzzword 你知道ai是一个流行语 2:57 and people have a different perspective on ai and ai computing 人们对人工智能和人工智能计算有不同的看法 3:02 so how things actually have advanced and be changed 那么事情实际上是如何发展和改变的呢？ 3:06 fundamentally in the past few years okay 基本上在过去的几年里 3:10 yeah 是呀 3:12 great question um 很好的问题嗯 3:15 first of all uh ai is a new way of doing software 首先uh ai是一种做软件的新方式 3:23 yeah 是呀 3:24 and first on first principles yeah 首先是第一原则，是的 3:26 instead of human coding describing algorithms 而不是人类编码描述算法 3:32 yeah to predict an outcome yeah 是的，预测结果，是的 3:35 we use a algorithm 我们用一种算法 3:39 to learn how to predict the outcome yes 学习如何预测结果是的 3:42 from example information 从示例信息 3:45 example data 示例数据 3:47 and and so this method of using computers to i to uh learn 所以这种使用计算机的方法让我呃学习 3:56 how to predict yeah 如何预测是的 3:57 uh has proven to be extremely scalable uh已被证明具有极强的可扩展性 4:00 yeah and as you know 是的，如你所知 4:02 we've been working on machine learning for a long time but yeah 我们研究机器学习很久了 4:05 twenty twelve was the Big Bang yes 2012年是大爆炸，是的 4:08 with Alex net yeah 和Alex net是的 4:09 and that was the time 就是那个时候 4:10 when the demonstration of deep learning 当深度学习的演示 4:13 has proven to be incredibly effective 已经被证明是非常有效的 4:16 so much better than computer scientists 比计算机科学家好多了 4:18 could do with computer vision yeah 可以用计算机视觉，是的。 4:21 and so it started from twenty twelve to the next five years 就这样从2012年开始到接下来的五年 4:25 or so you and i saw first computer vision becoming effective 或者你和我看到了第一个计算机视觉变得有效 4:30 and then superhuman yes 然后超人是的 4:32 and then speech recognition becoming effective 然后语音识别变得有效 4:36 and then superhuman yes 然后超人是的 4:37 and then shortly after that language understanding 然后在语言理解后不久 4:40 becoming effective 生效 4:41 and then superhuman yes right 然后是超人，是的，对。 4:43 so each and every one of these 所以这些中的每一个 4:46 uh different modalities 呃不同的模式 4:48 uh represented the first wave called perception ai uh代表了第一波叫做感知ai 4:52 then the second wave was generative ai yes 然后第二波是生成的ai是的 4:55 we can now translate from one modality to another yeah 我们现在可以从一种情态转换到另一种情态 4:59 from English to Chinese from English to pictures 从英文到中文从英文到图片 5:04 from pictures to English from Chinese to video yeah 从图片到英语从中文到视频是的 5:08 yeah 是呀 5:09 generative ai translation 生成式人工智能翻译 5:11 yeah 是呀 5:11 you know the ultimate translation and and so the generative ai 你知道终极翻译，所以生成人工智能 5:17 uh lasted uh really started about seven years ago yeah 持续了大概7年前开始的 5:22 and is going very strong right now 而且现在非常强劲 5:24 so now 所以现在 5:24 ai can understand information and generate information yeah 人工智能可以理解信息并生成信息，是的 5:29 the wave that we're in right now is incredible 我们现在所处的浪潮是不可思议的 5:32 yeah 是呀 5:32 and it's called reasoning yep 这叫做推理，是的。 5:34 and the reason why reasoning is so effective 推理如此有效的原因 5:37 so powerful is that the ai can understand and solve problems 如此强大，人工智能可以理解和解决问题 5:44 that it has never seen before yeah 它以前从未见过的东西，是的 5:46 just like humans yeah 就像人类一样 5:48 we can break down a problem step by step by step 我们可以一步一步地分解一个问题 5:51 and and solve problems that we have never really solved before 并解决我们从未真正解决过的问题 5:56 and so 所以 5:57 that's reasoning ai the next wave is called physical ai yeah 这就是推理ai下一波被称为物理ai yeah 6:02 when all of this capability can now go into a physical machinery 当所有这些能力现在都可以进入物理机器时 6:07 such as a robot and so this next 比如机器人，接下来就是这个。 6:10 this last twelve years 这过去的十二年 6:12 or so uh ai has moved very quickly 或者呃ai进展很快 6:15 it seems like every three or four five years three 似乎每隔三、四年、五年、三年 6:17 or four five years 或者四五年 6:18 you know we saw a big breakthrough it 你知道我们看到了一个重大突破 6:19 and i would say that we're now we're now near a time uh 我想说我们现在我们现在接近一个时间呃 6:24 when when uh ai should be able to solve uh most 什么时候uh ai应该能够解决uh大多数 6:30 cognitive tasks okay 认知任务好吧 6:32 and achieve most tests better than most humans so 并比大多数人更好地完成大多数测试 6:37 that's the level we call artificial general intelligence 这就是我们所说的通用人工智能的水平 6:41 which is the reason why now 这就是为什么现在 6:42 everybody's talking about artificial super intelligence 每个人都在谈论人工超级智能 6:45 just like in the beginning yeah 就像一开始一样，是的 6:46 we were able to achieve effectiveness 我们能够实现有效性 6:49 and then superhuman achieve effectiveness superhuman now 然后超人达到超人的有效性 6:52 for for a problem solving 为了解决问题 6:54 we should be able to achieve a superhuman fairly soon 我们应该很快就能造出超人了 6:58 it is incredible yeah 太不可思议了，是的。 6:59 incredible last last decade 难以置信的最后一个十年 7:01 and and you know that you know 你知道你知道 7:04 particularly this year the open source model is changing 尤其是今年开源模式正在发生变化 7:08 the landscape of ai 人工智能的风景 7:10 technology and the business today okay 今天的技术和业务都很好 7:12 but but Jen yeah 但是但是珍是的 7:14 which one which one 哪一个哪一个 7:15 which one of the technologies advances were you most excited by 哪项技术进步让你最兴奋？ 7:20 oh actually 哦其实 7:22 i think the the one of the things really exciting about 我认为真正令人兴奋的是 7:24 for me is actually 对我来说实际上是 7:27 computing is really the fundamental thing for everything okay 计算真的是一切的基础 7:31 so when talking your ai 所以在谈论你的ai时 7:33 is really the computing behind that 是背后的计算 7:35 and the computing is actually is changing everything you know 计算机实际上正在改变你所知道的一切。 7:38 the the ai is the something that you see 人工智能是你看到的东西 7:40 so goes back like twenty years ago 这要追溯到20年前 7:43 and we talking about the computer 我们谈论的是电脑 7:45 but very few people are talking about the computing self OK 但是很少有人在谈论计算机本身。 7:49 so they actually you know 所以他们实际上你知道 7:50 rather we says computers change the world 相反，我们说计算机改变世界 7:53 but actually the computing behind the computer that's right 但实际上计算机背后的计算是对的 7:56 actually 实际上 7:56 it's changed the world 它改变了世界 7:57 and the ai bring the computing to the next stage okay 人工智能将计算带入下一阶段，好吗？ 8:01 so it's it is incredible in general technology 所以这在一般技术中是不可思议的 8:03 and and even the way 甚至是方式 8:04 we're training the models is changing so fast right 我们在训练模型变化太快了，对吧？ 8:06 yeah the first the first decade was largely 是的，第一个十年主要是 8:11 uh occupied by pre training yes 呃，被预培训占用了，是的。 8:14 so we collected a lot of data 所以我们收集了很多数据 8:15 maybe we even use ai to prepare the data yep 也许我们甚至可以使用人工智能来准备数据，是的 8:19 and we use pre training 我们使用预训练 8:20 and then we used a a human reinforcement learning 然后我们使用了人类强化学习 8:24 right reinforcement learning human feedback 强化学习人类反馈 8:26 which is a kind of like a uh human 这有点像呃人类 8:30 coaching the ai yeah 指导ai yeah 8:32 we're we're human 我们是人类 8:34 uh aligning the ai um hmm uh对齐ai um hmm 8:36 and then now we're in this post training era 现在我们处在后训练时代 8:38 where the ai is thinking by itself and uh 人工智能自己思考的地方，呃 8:42 uh practicing uh huh 呃在练习嗯哼 8:44 uh 额 8:44 doing 做 8:45 uh reinforcement learning verifiable feedback and yeah right 强化学习反馈是的 8:49 so many synthetic data generation 如此多的合成数据生成 8:51 and uh taking test by itself and learning how to reason 自己考试，学习如何推理 8:55 so it's incredible 所以太不可思议了 8:57 the amount of computation is necessary now yeah 计算量现在是必要的，是的 8:59 you'll know actually 实际上你会知道的 9:00 i have a psychology background and so for me 我有心理学背景，所以对我来说 9:03 the the ai is not really an simulation of the human intelligence 人工智能并不是真正的人类智能模拟 9:08 it's really an augmentation of the human intelligence 它实际上是人类智力的增强。 9:12 and even more 甚至更多 9:13 so for me it's more like ai is to extend human creativity 所以对我来说，人工智能更像是扩展人类的创造力 9:17 and instead of just replacing human intelligence okay 与其只是取代人类智能，好吗？ 9:20 well our car extended our human mobility 汽车扩展了人类的行动能力 9:24 you're very right 你说得很对 9:25 airplane extended our human mobility yeah 飞机扩展了人类的流动性 9:28 and now we have ai is going to extend our human intelligence 现在我们有人工智能将扩展我们的人类智能 9:32 you're very right 你说得很对 9:32 it doesn't work the same way as our brain 它的工作方式和我们的大脑不同。 9:35 you're very right right 你说得很对，对 9:36 it doesn't work the same as our brain 它和我们的大脑不一样。 9:37 but it can perform tasks similar to what we can do yes 但它可以执行类似于我们所能做的任务，是的 9:42 okay so go back to this open source yeah 好吧，所以回到这个开源，是的 9:45 you know it's also 你知道这也是 9:46 incredible you know moment for that 难以置信，你知道那一刻 9:49 and and you know that we have deep seek 你知道我们有很深的追求 9:52 and you have we have the queen from the uh alibaba cloud 你有我们有来自阿里巴巴云的女王 9:57 and there are only a few among them okay 其中只有几个好吧 10:00 and but but my lately moon 但是我最近的月亮 10:04 moon shot Kimi oh 月亮射击Kimi oh 10:05 yes 是的 10:05 you're right Kimi is pretty good 你说得对Kimi挺不错的 10:07 so actually my question for you is really you know 所以实际上我想问你的问题是 10:10 is this the win of the disruptive 这是颠覆性的胜利吗？ 10:13 i mean the the open source model is this the win of disruptive 我的意思是开源模型是颠覆性的胜利吗？ 10:19 and driving forces for the future ai development 和未来人工智能发展的驱动力 10:23 you know 你知道的 10:24 we were just talking about how AI has progressed very quickly 我们只是在谈论人工智能是如何快速发展的 10:27 yeah and the reason for that is of course 是的，原因当然是 10:29 people say uh NVIDIA's technology is advancing very quickly 人们说呃NVIDIA的技术进步很快 10:34 and it's true yeah 这是真的 10:35 we improve the performance of computing ai 我们提高计算人工智能的性能 10:39 computing by a hundred thousand times in the last ten years yeah 在过去的十年里计算了十万次 10:44 so we can process more data learn more quickly 所以我们可以处理更多数据，更快地学习 10:49 now of course 现在当然 10:51 what is not talked about 什么不被谈论 10:53 and it should be 它应该是 10:55 is that the vast majority of ai research was done in the open 绝大多数人工智能研究都是公开进行的 11:00 the amount of archive papers yeah 档案文件的数量是的 11:03 from all over the world is incredible and in fact 来自世界各地令人难以置信，事实上 11:07 i think i saw a statistic that 我想我看到了一个统计数据 11:12 the archive papers published by research papers published by uh 呃发表的研究论文发表的档案论文 11:17 Chinese researchers is now the highest in the world okay 中国的研究人员现在是世界上最高的 11:21 and so so the thing that is happening is that in a lot of ways 所以正在发生的事情是，在很多方面 11:26 researchers are uh collaborating in open science 研究人员在开放科学领域进行合作 11:31 when they publish their science 当他们发表他们的科学 11:33 then you can read and you can contribute 然后你可以阅读并做出贡献 11:35 then i can read and contribute yeah 然后我可以阅读和贡献是的 11:36 so we are in fact 所以我们实际上是 11:38 collaborating in open science yeah 在开放科学领域合作 11:41 and the next version of that is open source yeah 下一个版本是开源的，是的 11:45 you know not not only do you do open research 你知道你不仅做开放式研究 11:48 yeah we now do open engineering 是的，我们现在做开放工程。 11:51 and so that open engineering is extremely powerful 所以开放工程是非常强大的 11:54 because then you could take my contributions 因为那样你就可以拿走我的贡献 11:57 add your contributions i add my contributions and as a result 添加您的贡献，我添加了我的贡献，结果 12:02 the the the innovation pace is not 创新的步伐不是 12:06 just the uh contribution of each company 只是每个公司的呃贡献 12:09 or each engineering group 或每个工程组 12:11 but the combined resource of an ecosystem and so 但是生态系统的综合资源等等 12:16 that's very clever about open source engineering here in China 中国的开源工程非常聪明 12:20 but don't forget that open source has many global implications 但不要忘记开源具有许多全球影响 12:26 you know 你知道的 12:27 not only did the open source models help the Chinese ecosystem 开源模型不仅帮助了中国生态系统 12:32 it's helping the ecosystems around the world 它正在帮助世界各地的生态系统。 12:35 this is the best opens you know 这是你知道的最好的开场 12:38 r one and q n r one和q n 12:40 and Kimi are the best open reasoning models in the world Kimi是世界上最好的开放式推理模型 12:45 today multi modal reasoning model 当今多模态推理模型 12:47 so it's very advanced 所以它非常先进 12:49 and so it doesn't matter who you are 所以你是谁并不重要 12:51 you could be a healthcare company or financial services company 你可以是一家医疗保健公司或金融服务公司 12:54 or robotics company 或机器人公司 12:55 you could take advantage of this 你可以利用这一点 12:57 and modify for your own own application yep 并为您自己的应用程序进行修改，是的 13:00 it is also very important to note that 同样非常重要的是要注意 13:03 open source is the safest way to advance 开源是最安全的前进方式 13:07 you know sunlight is the best disinfectant 你知道阳光是最好的消毒剂 13:11 and so when open source and all the open innovation 因此，当开源和所有开放创新 13:15 you invite global scientific scrutiny 你邀请全球科学审查 13:20 and when you have global scientific scrutiny 当你有全球科学监督时 13:23 the quality of the work is goes up 工作质量提高了 13:27 if you look at the deep seek paper yeah 如果你看看深度搜索纸是的 13:29 it is incredibly well written yeah 它写得非常好，是的 13:33 it is incredibly well written 它写得非常好 13:34 it is absolutely uh you know a plus quality 这绝对是呃，你知道的，质量很好。 13:38 uh huh science and a plus quality engineering 嗯哼科学和一个加质量的工程 13:42 and so it's they did it all completely openly 所以他们完全公开地做这一切 13:45 and it invited education and learning and sharing 它邀请了教育、学习和分享 13:50 as well as the benefit of many people scrutinizing it 以及许多人仔细检查它的好处 13:53 so it's very good good for safety 所以非常安全 13:55 yeah thank you 是啊谢谢 13:56 and by the way both deep sea and queen are from hangzhou 对了深海和皇后都是杭州的 14:00 and i'm native of hangzhou 而且我是杭州人 14:02 and i'm very proud of the city 我为这座城市感到骄傲 14:04 and you have my personal invitation to visit Hangzhou 我亲自邀请你去杭州 14:06 next time in your next trip okay 下次在你的下一次旅行中，好吗？ 14:08 Hangzhou is 杭州是 14:09 the may i dare say it's the Silicon valley of China is it 我敢说这是中国的硅谷，是吗？ 14:13 uh i would say a lot of don't say the Silicon valley of China 呃，我会说很多，不要说中国的硅谷。 14:18 it's the the hangzhou will be an an innovation hub 杭州将成为创新中心 14:22 for the rest of the world okay 对世界其他地方来说，好吗？ 14:23 all right said it's very unique okay 好吧，这是非常独特的，好吧。 14:25 uh huh 嗯哼 14:25 it's it's very again 又来了 14:27 you have a personal invitation to visit Hangzhou 你有去杭州的私人邀请 14:29 in your next trip会 你下次旅行会 14:31 会来一定会来的 会来一定会来的 14:32 thank you and you're talking about the open science 谢谢你，你说的是开放科学 14:35 the open engineering 开放工程 14:35 so in your in your in the gdc last year and you said okay 所以在你去年在GDC的时候，你说好的。 14:41 it's the first time in the human history 这是人类历史上第一次 14:44 and we have opportunity to to 我们有机会 14:47 to 到 14:48 to turn actually biology as an engineering instead of science 把生物学变成工程学而不是科学 14:54 okay it is also incredible 好吧这也太不可思议了 14:56 so what's the long term impact of ai on the scientific 那么人工智能对科学的长期影响是什么？ 15:02 discovery and technology innovation 发现与技术创新 15:05 so will 也会的 15:05 ai will change the way for the scientists to do their research 人工智能将改变科学家进行研究的方式 15:09 yeah it's you know today we're only talking about ai for human 是的，你知道今天我们只谈论人工智能。 15:13 yeah 是呀 15:14 ai for science is where we will make the greatest impact yeah 人工智能科学是我们将产生最大影响的地方，是的 15:18 now remember ai for human is relatively easier 现在记住人工智能对人类来说相对容易 15:22 and the reason for that is 原因是 15:23 because humans created the human language 因为人类创造了人类语言 15:26 yeah 是呀 15:27 and it is easy to use uh design tools yeah you 而且很容易使用uh设计工具yeah you 15:31 and i we've been 而我我们已经 15:32 we've been using design tools to make chips for a long time yeah 很长一段时间以来，我们一直在使用设计工具来制造芯片，是的 15:36 but the transistors were designed by us yeah 但是晶体管是我们设计的 15:40 so that we could use tools to manipulate the transistors 这样我们就可以使用工具来操纵晶体管 15:44 and the chip design yeah 还有芯片设计是的 15:46 but biology was created by nature yes 但是生物是自然创造的，是的 15:50 and so we have to use in order to manipulate biology first 所以我们必须首先使用才能操纵生物学 15:55 we have to understand it and finally 我们必须了解它，最后 15:57 we have a new capability called artificial intelligence and 我们有一种叫做人工智能的新能力 16:01 we can understand 我们可以理解 16:03 learn and understand the meaning of proteins 学习和理解蛋白质的含义 16:07 the meaning of chemicals 化学品的含义 16:09 the meaning of cells 单元格的意义 16:11 and uh meaning of life of course 当然还有生命的意义 16:14 and so 所以 16:15 we can even understand the meaning of the metabolic reactions 我们甚至可以理解代谢反应的含义 16:21 and actions in the human body right 和人体内的行为，对吧？ 16:23 and so 所以 16:24 if we can under 如果我们能下 16:25 if we can use ai to first 如果我们可以先使用ai 16:27 understand the structure and the meaning then 然后理解结构和含义 16:30 we can use ai to improve to configure to design design drugs 我们可以使用人工智能来改进配置来设计设计药物 16:38 and uh help people live longer 还有呃帮助人们长寿 16:42 so it's a lot of opportunities 所以机会很多。 16:43 big opportunity 大好机会 16:44 the other thing that we can use use uh ai 我们可以使用的其他东西使用uh ai 16:47 for is to uh emulate physics 就是模仿物理 16:51 you know today 你知道今天 16:52 we use uh physics equations to simulate 我们用呃物理方程式来模拟 16:55 very complicated uh interactions like weather 非常复杂的呃相互作用比如天气 17:01 you know weather is a cloud physics 你知道天气是云物理学 17:04 high cloud physics 高云物理 17:05 low cloud physics 低云物理 17:06 atmosphere of physics we have ocean physics 物理学的大气层，我们有海洋物理学。 17:09 ice physics land physics we have uh uh conduction 冰物理陆地物理我们有嗯嗯传导 17:14 we have convection um you know 我们有对流嗯你知道的 17:17 and so all of these different types of physics yeah 所以所有这些不同类型的物理学是的 17:20 has to come together right 必须走到一起，对吧？ 17:22 very very small scale physics 非常非常小尺度物理学 17:25 also to very large scale physics we call it meso scale physics 对于非常大尺度的物理学，我们称之为中尺度物理学。 17:29 yeah and the time the time domain travels from uh 是的，时域的时间从呃 17:33 probably in the case of 可能在 17:35 in the case of physics from seconds to maybe multiple years 在物理学的例子中，从几秒钟到几年 17:40 and so that range is very complicated for simulation to do 所以这个范围对于模拟来说非常复杂 17:43 i see but maybe we can teach an ai to help us predict that 我明白了，但也许我们可以教人工智能来帮助我们预测 17:49 and you know ai is much 你知道ai很多 17:50 much faster at predicting than using physical simulations 在预测方面比使用物理模拟快得多 17:54 and so i have every confidence that whether 所以我完全有信心 17:57 it's using ai to understand the laws of nature okay 它用人工智能来理解自然法则，好吗？ 18:02 or using ai to emulate the laws of nature 或使用人工智能来模仿自然法则 18:06 we could use ai to help us advance science very big deal 我们可以用人工智能来帮助我们推进科学，这很重要。 18:11 yeah it is an incredible yeah 是的，这是一个不可思议的是的 18:13 truly truly 真真 18:14 incredible yeah truly 难以置信，是的，真的。 18:15 and so my next probably is hard for you 所以我的下一个可能对你来说很难。 18:17 i'm sorry to say that you know 我很抱歉地说你知道 18:18 Jason and you know that actually Jason和你都知道其实 18:21 today's ai technology is heavy depend on Silicon technology okay 今天的人工智能技术很重，依赖硅技术好吗？ 18:26 it's depend on Silicon okay 这取决于硅，好吗？ 18:28 and you know 而且你知道 18:29 we're using the silicon to increase the computing power 我们用硅来提高计算能力 18:33 and get the gigantic memory space 并获得巨大的内存空间 18:36 and even you know 甚至你也知道 18:38 this unbelievable communication bandwidth okay 这难以置信的通信带宽好吧 18:40 it's all depend on silicon okay 这一切都取决于硅，好吗？ 18:42 so my question for you is you know 所以我的问题是 18:45 you know in the next ten or twenty years are 你知道在接下来的十年或二十年里 18:48 we still being able to rely on the silicon 我们仍然可以依靠硅 18:51 for the advance of ar technology okay 为了AR技术的进步好吗？ 18:54 yeah you know 是啊你知道的 18:55 of course a 当然a 18:56 silicon technology is already adding so many different elements 硅技术已经添加了许多不同的元素 19:00 yeah you know 是啊你知道的 19:01 it's barely silicon and so uh 它几乎不是硅，所以呃 19:03 so i think that that we will continue to advance in those areas 所以我认为我们将继续在这些领域取得进展 19:07 several areas the transistor will become three dimensional yep 晶体管将成为三维的几个领域是的 19:11 and you know we call it gate all around yep so right now 你知道我们把它叫做门，是的，所以现在 19:14 it's nanosheet the next generations called gate all around 这是纳米片，下一代叫做门。 19:17 and then 然后 19:17 after that we will have transistors on top of transistors 在那之后，我们将在晶体管之上有晶体管 19:20 you know stacking finfets 你知道叠鳍 19:22 uh instead of 呃而不是 19:23 instead of distributing power over the surface of silicon 而不是在硅表面分配能量 19:27 we distribute it on two sides we saw backside power yeah 我们把它分布在两边，我们看到了背后的力量，是的 19:31 uh instead of uh uh而不是uh 19:33 instead of uh 而不是呃 19:34 one chip at a time hmm 一次一个芯片嗯 19:35 we now have uh stacking chips yeah 我们现在有呃堆叠芯片是的 19:38 multi chips yeah 多芯片是的 19:40 and so the packaging becomes very advanced yeah 所以包装变得非常先进，是的 19:43 we call it cooss um hmm right 我们叫它cooss嗯嗯对 19:45 Nvidia was the first company to use cooss at a very large scale 英伟达是第一家大规模使用cooss的公司 19:49 and even even in the future 甚至在未来 19:51 the packages will not be this big 包裹不会这么大 19:53 but the package will be entire panels 但包裹将是整个面板 19:55 okay 好吧 19:56 so that could the size of a chip 所以芯片的大小 19:58 could be the size of this table 可能是这张桌子的大小 20:00 and then beyond that we'll use silicon photonics 除此之外，我们将使用硅光子学。 20:04 directly attach photons to electrons 直接将光子附加到电子上 20:08 with very very tight coupling 具有非常非常紧密的耦合 20:09 we call it cpo yeah 我们称之为cpo yeah 20:11 and then we can connect many of these things together wow 然后我们可以把这些东西连接在一起哇 20:15 the the number of dimensions you know 你知道的维度数 20:17 the number of dimensions of capability is incredible 能力的维度之多令人难以置信 20:21 yeah i see 是啊我明白了 20:22 the silicon technology is amazing you know 硅技术是惊人的你知道 20:24 yeah we have 是啊我们有 20:25 we have uh we have plenty of work to do for at least two decades 我们有呃我们有很多工作要做至少20年 20:29 and the reason why we kind of know 我们知道的原因是 20:30 that is 那是 20:31 because NVIDIA's roadmap is already coming up on one decade yeah 因为英伟达的路线图已经出现了十年 20:36 right so it's at least somewhere between five to ten years 对，所以至少需要五到十年的时间。 20:39 and we are already dreaming and designing 我们已经在梦想和设计了 20:42 and architecting systems that are ten years from now 并构建十年后的系统 20:45 so i i'm pretty sure 所以我我很确定 20:47 we could see ten years and the next twenty years 我们可以看到十年和下一个二十年 20:49 i'm i'm fairly certain we will have plenty of work to do 我很确定我们有很多工作要做 20:52 yeah i i truly believe you know when you have you 是的，我真的相信你知道你什么时候拥有你 20:55 and i are gonna be busy for at least twenty years 我至少要忙二十年 20:57 you're really like to eat particularly 你真的特别喜欢吃 20:59 if i have good architecture 如果我有好的建筑 21:00 when you have a good architecture and a silicon 当你有一个好的架构和一个硅 21:03 you get a much more things you can do with that okay yeah 你可以用它做更多的事情，好吗？是的。 21:05 that's right and so 没错，所以 21:07 so my last question is really about the people 所以我的最后一个问题是关于人民的 21:10 and particularly about young people 尤其是年轻人 21:12 and you ask me 你问我 21:13 what i'm doing recent years 我最近几年在做什么 21:15 you ask me before and actually every year 你以前和实际上每年都问我 21:19 i'm you know together with thousands of volunteers 我和成千上万的志愿者一起 21:24 and and and young people and and and年轻人 21:26 and we're working on the events named twenty fifty okay 我们正在进行名为2050的活动，好的。 21:31 with a very simple idea 有一个非常简单的想法 21:33 science technology brings people together 科学技术将人们聚集在一起 21:36 particularly young people so technology 尤其是年轻人，所以技术 21:38 connects people technology 连接人的技术 21:40 is that it's more than just technology 它不仅仅是技术 21:42 it's really connects people together 它真的把人们联系在一起 21:45 you have always dedicated 你一直致力于 21:47 so much of your own time to nurture and advice young people 你花了太多时间培养和建议年轻人 21:53 uh actually 呃其实 21:54 that's my passions yeah 这就是我的激情 21:55 i know ever since ever 我知道从那以后 21:56 since you and i met i knew that i got a lot of a lot of you know 自从你和我相遇，我就知道我得到了很多很多你知道的 22:00 help when i was when i was young 帮助当我年轻的时候 22:03 so i think 所以我想 22:04 it's always very exciting to talk with the people yeah 和人们交谈总是非常令人兴奋 22:07 so it's that you know to be the twenty fifty sometime 所以你知道有时候要成为二百五十岁 22:09 you can see all the young people 你可以看到所有的年轻人 22:11 and these are all the people you know 这些都是你认识的人 22:13 they don't know where their future is 他们不知道自己的未来在哪里 22:15 but they really worry about the future of the world okay 但他们真的很担心世界的未来 22:17 yeah so it's incredible young people Jen he is the hero 是的，所以这太不可思议了，年轻人，珍，他是英雄。 22:22 he's an incredible hero thank you yeah 他是一个不可思议的英雄，谢谢你，是的。 22:24 superhero so so 超级英雄如此如此 22:25 my question is is really about you know 我的问题其实是关于 22:28 do you have any specific advices and you know today 你有什么具体的建议吗？你今天知道吗？ 22:31 actually everybody knows actually 其实大家都知道其实 22:33 ai is a lifetime opportunity for most of us okay 人工智能对我们大多数人来说是一生的机会，好吗？ 22:38 and particularly for the young people 尤其是对年轻人来说 22:40 so do you have any specific advices on the youngest us 那么你对最年轻的我们有什么具体的建议吗？ 22:44 or do you have any plan to do something specifically for them 或者你有什么计划专门为他们做些什么吗？ 22:48 okay 好吧 22:48 well you know people say that ai is of course 你知道人们说人工智能当然是 22:52 solving math problems 解决数学问题 22:54 reasoning problems uh 推理问题呃 22:56 it can solve uh 它可以解决呃 22:57 uh programming problems 呃编程问题 23:00 it could even code by itself and so therefore 它甚至可以自己编码，因此 23:02 we probably don't need to learn 我们可能不需要学习 23:04 those that's exactly wrong you know 你知道那些完全错了的人 23:07 in fact that you all no matter 其实你们都无所谓 23:10 no matter as you know uh we do less programming uh 不管你知道的呃我们少做编程呃 23:13 huh as we develop our career we do less engineering but you 嗯，随着我们职业生涯的发展，我们做的工程越来越少，但你 23:17 always have to still learn how to think from first principles 总是要学习如何从第一原则思考 23:21 yeah to take a very complicated problem 是的，要解决一个非常复杂的问题。 23:25 which we've never encountered before yeah 我们以前从未遇到过 23:27 and break it down step by step by step yeah 并一步一步地分解它是的 23:30 that is built up on first principles yeah fundamental 建立在首要原则之上，是的，基本原则 23:33 knowledge right 知识产权 23:35 and so conventional wisdom is not very good to rely on 所以传统智慧不是很好的依据 23:39 you always wanna go back to first principle thinking 你总是想回到第一原则 23:42 and so 所以 23:42 we have to teach people first principle thinking otherwise 我们必须教会人们以其他方式思考的第一原则 23:45 you cannot have a critical mind yeah 你不能有批判性的头脑 23:48 and if you don't have a critical mind 如果你没有批判的头脑 23:49 you cannot tell if the answer from someone 你不知道某人的答案是否 23:53 or the answer from ai is make sense 或者人工智能的答案是有意义的 23:57 or not you need to be able to interact with the ai one 或者不，您需要能够与ai交互 24:01 you have to describe the problem for the ai to help you solve 你必须描述问题让人工智能帮你解决 24:05 two yep you have to reason about 两个是的，你必须推理 24:09 whether the ai is answering the question 人工智能是否在回答问题 24:12 properly or optimally as well 适当地或最佳地 24:15 as it can yes and so critical thinking is always very important 是的，批判性思维总是非常重要的。 24:18 whether it's critical thinking based on physics 无论是基于物理学的批判性思维 24:21 mathematics or logic 数学还是逻辑 24:24 critical thinking is fundamental to almost everything 批判性思维几乎是一切的基础 24:27 that we do and 我们所做的和 24:27 i would advise that young people 我建议年轻人 24:29 today still continue to learn math 今天还是继续学数学 24:32 and reasoning 和推理 24:33 and logic and right computer programming 以及逻辑和正确的计算机编程 24:36 even though you don't have to do it 即使你不必这么做 24:38 you should know it yes 你应该知道是的 24:39 that's number one 那是第一 24:41 the second thing i would say is almost everything 我要说的第二件事几乎是一切 24:44 every single young person today 今天的每个年轻人 24:46 uh should absolutely as fast as possible engage ai 呃绝对应该尽快参与ai 24:51 yeah 是呀 24:52 this is the new computer 这是新电脑 24:54 you know ai is makes the computer very very powerful 你知道人工智能使计算机非常非常强大 24:59 but it's very important to realize that 但认识到这一点非常重要 25:01 it has become very easy to use 它变得非常易于使用 25:05 because it understands how we interact 因为它了解我们如何互动 25:08 no matter how right 无论多么正确 25:09 and if you don't know how to use the ai 如果你不知道如何使用人工智能 25:12 you say to the ai i don't know how to use ai teach me 你对ai说我不知道怎么用ai教我 25:15 how to use ai 如何使用人工智能 25:16 and it will teach you step by step 它会一步一步地教你 25:19 and so the computer with ai 所以带ai的电脑 25:22 has been the most powerful equalizer of all people 是所有人中最强大的均衡器 25:29 and so whether you are farmer or you know elder person 所以无论你是农民还是老年人 25:34 or you don't know how to use a computer young person 或者你不知道如何使用电脑年轻人 25:37 you absolutely must engage ai as quickly as possible 你绝对必须尽快参与人工智能 25:41 i think it will really empower you 我认为它会真正赋予你力量 25:43 and then lastly 然后最后 25:44 i'm jealous of the young generation because yeah 我嫉妒年轻一代，因为是的 25:47 you know this is the generation that are being born right now 你知道这是正在诞生的一代。 25:52 where they will grow up with their own ai for their life 在那里他们将与自己的ai一起长大 25:55 yes 是的 25:57 it's like having it's like having star wars r two d two yeah 就像拥有它就像拥有星球大战r 2 d 2 yeah 26:01 yeah grow up with you 是啊和你一起长大 26:02 your whole life 你的一生 26:04 you know and having this 你知道，拥有这个 26:06 this ai companion that remembered everything your whole life 这个记得你一生一切的人工智能伴侣 26:10 and was able to advise you and you know 并且能够为您提供建议，您知道 26:14 teach you and uh huh 教你然后嗯哼 26:15 right uh huh your whole life 对吧嗯哼你的一生 26:16 it's just an amazing idea and i i'm jealous that that you know 这是一个很棒的想法，我很嫉妒你知道 26:21 i didn't have an ai uh huh 我没有啊啊哈 26:23 that remind reminded me and help me 那个提醒提醒了我并帮助了我 26:26 and remembered every everything in my life 记得我生命中的每一件事 26:28 since i was a child yeah you know 从我还是个孩子的时候 26:31 could you imagine 你能想象吗 26:32 you have a you have a ai and you say uh 你有一个你有一个ai你说uh 26:36 what was i doing 我在做什么？ 26:37 when i was one years old or two years old or three years old 我一岁两岁三岁的时候 26:41 you know tell me about where i was 你知道告诉我我在哪里 26:43 and what were the things 事情是什么？ 26:44 that i worked on and what were the things that i right 我做过什么，我做对了什么？ 26:47 talk to you about it would be i'll remember that 和你谈谈这件事，我会记住的。 26:51 and that entire journey would have been captured i 整个旅程都会被我捕捉到 26:54 i wish i wish uh 我希望我希望呃 26:55 we had that opportunity uh 我们有那个机会呃 26:57 and thank you for your encouragement and also advices actually 谢谢你的鼓励和建议 27:01 you know when i first met with you 你知道我第一次见你的时候 27:02 your passion about technology inspired me 你对技术的热情激励了我 27:06 and i i still can see the passion you have 我仍然可以看到你的激情 27:08 today okay and also 今天还可以 27:10 you're very patient thinking about you know 你很有耐心思考你知道 27:12 your company group of staff to where you are 您的公司团队到您所在的位置 27:15 you are you 你就是你 27:16 you have you know 你有你知道的 27:17 over the fortune uh 在财富之上呃 27:20 market value this incredible journey 市场价值这个不可思议的旅程 27:23 so passion and patience really important 所以激情和耐心真的很重要 27:25 for the young people and thank you for your advices for that 为了年轻人，谢谢你的建议。 27:28 thank you thank you and thank you for being such a good friend 谢谢谢谢谢谢谢谢你这么好的朋友 27:31 all these years 这些年来 27:31 and and i've enjoyed i enjoyed both of our careers you know 我很享受我很享受我们的事业 27:36 advancing together 共同前进 27:37 and and this is a this is a once in a lifetime 这是一生中仅有的一次 27:41 opportunity really yeah and in fact 机会真的是的，事实上 27:44 you know you could even say that this is a once in a generation 你知道你甚至可以说这是一代人中的一次 27:47 opportunity and ai will define the world the 机会和人工智能将定义世界 27:52 next century and so this is very important time 下个世纪，所以这是非常重要的时刻 27:56 and i'm glad that that there's so much interest 我很高兴有这么多人感兴趣 27:59 and quite frankly 坦白地说 28:00 i'm delighted to see so much advance here in China 我很高兴看到中国取得了如此大的进步 28:04 so much expertise 这么多专业知识 28:05 so much so much advance and and let's let's work 前进了这么多，让我们工作吧 28:10 let's continue to work together 让我们继续合作 28:12 and i look forward to having another sit down 我期待着再坐下来 28:15 chat in another ten years 再过十年再聊 28:16 and see where we are 看看我们在哪里 28:17 you're very tough so the best is yet to come okay yes 你很坚强，所以最好的还在后头，好吧，是的 28:20 okay yeah 好吧是 28:21 thank you thank you 谢谢谢谢 28:22 thank you thank you yeah 谢谢谢谢你耶