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别再盲目焦虑了!《经济学人》专访AI 大佬吴恩达:AI 不会

字幕摘录

时间英文中文
0:00there will be no AI job apocalypse.没有AI的工作启示。
0:03This idea of 50 percent being out of work,关于50%失业的想法,
0:0650 percent people being out of work,50%的人失业,
0:07maybe rioting industries, I don't know.也许是骚乱行业 我不知道
0:10I don't see any realistic path to that.我没有看到任何现实的路
0:13In fact, early data,事实上,早期的数据,
0:14even out of some of the organizations that were甚至从一些组织中
0:16hyping up the 50 percent unemployment job apocalypse scenarios,虚构了50%的失业 工作启示,
0:21are showing that AI is not having表明大赦国际没有
0:24the negative impact on jobs that people were fearing.给人们担心的工作带来的负面影响。
展开字幕全文(130 条)
序号英文中文
1there will be no AI job apocalypse.没有AI的工作启示。
2This idea of 50 percent being out of work,关于50%失业的想法,
350 percent people being out of work,50%的人失业,
4maybe rioting industries, I don't know.也许是骚乱行业 我不知道
5I don't see any realistic path to that.我没有看到任何现实的路
6In fact, early data,事实上,早期的数据,
7even out of some of the organizations that were甚至从一些组织中
8hyping up the 50 percent unemployment job apocalypse scenarios,虚构了50%的失业 工作启示,
9are showing that AI is not having表明大赦国际没有
10the negative impact on jobs that people were fearing.给人们担心的工作带来的负面影响。
11Because AI ultimately is only part of someone's job,因为AI最终只是某人的工作的一部分,
12it turns out we really need people to do the rest of their job still.结果我们真的需要人来完成剩下的工作
13What happens in software engineering is a predictor of在软件工程中发生的事情是预测
14what will happen in other job sectors as well.其他工作部门也将发生什么。
15I think it'll be fantastic and if anything,我认为这将是美妙的,如果有什么,
16we can't find enough software engineers right now,我们现在找不到足够的软件工程师,
17and I'm already seeing we can't find enough AI native marketers,我已经看到我们找不到足够的 AI本地营销员,
18or enough AI native salespeople,或足够的AI本地推销员,
19enough AI native operations people for the challenges of skilling.足够的AI本土操作人员应对技能挑战.
20Because for all of these job roles,因为所有这些工作角色
21we have to help people learn new skills,我们必须帮助人们学习新的技能,
22and I don't just mean learn AI skills,我不是说学人工智能
23but it turns out that maybe I'll take one example of software engineering.但事实证明,也许我会拿一个软件工程的例子。
24A lot of people used to be maybe still are front-end engineers,过去很多人也许还是前端工程师
25meaning they build a website or an app to make it look good.意思是他们建立一个网站或一个应用程序 来让它看起来不错。
26But AI is pretty good at front-end engineering.但AI相当擅长前端工程.
27A lot of front-end developers are now full-set developers,许多前端开发者现在都是完全设置的开发者,
28meaning they don't just build the part that users look at,意思是他们不只是构建 用户看的部分,
29but they build what runs in the background as well,但他们建造了 运行在背景,
30and they build the mobile app, they build security things.他们制造移动应用程序, 他们制造安全的东西。
31A lot of developers are now taking on broader scope in their work.现在许多开发者正在他们的作品中占据更广泛的范围.
32What that means is, instead of just focusing on what it looks like,这意味着, 而不是仅仅专注于它是什么样子,
33they have to learn to build all these other pieces as well,他们必须学会 建造其他的棋子,
34and they have to learn AI skills.他们必须学会人工智能
35When they do that, they're amazingly valuable in the job market,当他们这样做, 他们在就业市场 惊人的价值,
36and we just can't find enough of these people.我们只是找不到足够的这些人。
37I'm seeing early signs of a similar transformation happening as well我也看到类似转变的早期迹象
38in other job categories.其他职类。
39I'm curious, though, you say there's not going to be a jobs apocalypse.不过我很好奇 你说这不会是启示录
40I'm curious what that implies about your sense of the eventual progress of AI,我很好奇你对AI最终进展的感知是什么
41because the fear about a jobs apocalypse isn't the AI we have in 2026,因为对一个启示录的恐惧 并不是2026年的人工智能
42it's the AI we have in 2030, or if your timelines are short,这是2030年的人工智能, 或者如果你的时间表很短,
43it's the AI we have in six months, right?这是半年后的人工智能,对吧?
44Few people are arguing that the AI today can do every task很少有人认为今天的人工智能可以完成每一项任务
45in a job like software engineering,在像软件工程这样的工作,
46but the fear is that if we get this compounding rate of progress但恐惧是 如果我们得到这种复杂的进步速度
47for another year or two, it's hard to see where it stops.再过一两年 很难看它停在哪里
48Are you implicitly arguing that you think it will stop,你是在暗示你认为会停止吗?
49that we will hit a hard limit at some sort of your scaling laws,我们将会在你的缩放定律上 达到极限,
50or some architectural change will be needed,或者需要一些建筑改变,
51and there will be some tasks that the AI systems of tomorrow还有明天的人工智能系统
52simply will not be able to do and probably never will be able to do?根本无法做到,而且可能永远也无法做到?
53Well, I don't think we'll hit a hard limit,好吧,我不认为我们会达到一个硬极限,
54but progress will be incremental for a long time to come.但是,今后很长一段时间,进展将是渐进的。
55So I would love if AI could do any intellectual task a human can,所以我希望AI能完成人类所能完成的任何智力任务,
56maybe go on holiday or something.也许去度假什么的。
57But realistically, that would take multiple novel breakthroughs,但实际上,这需要 多个新的突破,
58and I'd love to see it within our lifetime,我很乐意在一生中看到它
59but whether it'll take decades or even longer than decades to get there,但无论要花几十年甚至更长的时间才能到达那里,
60I don't know.师曰.
61And until AI could do 100% of what people can do,直到AI能做100%的人能做的,
62which seems incredibly far away, I don't think we'll get there anytime,似乎离得很远,我觉得我们随时都到不了那里
63certainly not in six months.当然不是在6个月。
64Almost very unlikely to get there by 2030.到2030年几乎不可能实现。
65There's still plenty of work for people to do.仍令众生多业.
66And use the term compounding progress.并用"复合进步"一词.
67One of the terms of hype in Silicon Valley硅谷的杂音词之一
68has been compounding progress or recursive improvements and so on.使进展或递归性改进等复杂化。
69And at least right now, that's much more hype than reality.至少现在,这比现实要多得多。
70For decades, computers have made computers better.几十年来,计算机使计算机变得更好.
71I mean, we used the last generation of semiconductor microchips我们用了上一代半导体微芯片
72to build the current generation of semiconductor microchips.用于构建当前一代半导体微芯片.
73And yes, at the Frontier Labs,是的 在边境实验室
74AI writes all the code or almost all the code.AI写出所有代码或几乎所有代码.
75So of course, AI is helping us make better AI.当然,AI帮助我们改进AI。
76But it turns out that if we look at the bottlenecks of AI progress,但事实证明 如果我们看看AI进步的瓶颈
77a lot of bottlenecks are we have to build new GPU servers,有很多瓶颈是我们必须建造新的GPU服务器,
78we have to get power plants built,我们必须建造发电厂,
79we have to run a lot of experiments to see what works.我们必须做很多实验,看看什么是可行的。
80So unfortunately, even super intelligent AI, if we can get there,所以不幸的是,即使超级智能AI, 如果我们能到达那里,
81needs to obey the laws of physics.需要遵守物理规律
82And the bottlenecks are the time to build data centers瓶颈是建立数据中心的时候
83and run experiments to figure out what to do,并进行实验 找出该怎么做,
84rather than just thinking on the box.而不是仅仅思考在盒子。
85Then those are fundamental bottlenecks,那么这些是根本的瓶颈
86because the bottlenecks of more intelligence因为更多的智慧的瓶颈
87is not just to be smarter about things,不只是要更聪明的事情,
88that these are the bottlenecks as well that seem very difficult to overcome.这些也是似乎很难克服的瓶颈。
89If you're not concerned then about a jobs apocalypse,如果你不关心一个末日的工作,
90are you still concerned about some narrow impacts?你还在担心一些狭窄的撞击吗?
91I'm thinking firstly of the impact on early stage careers.我首先想到对早期职业的影响.
92You brought up your Stanford colleague, Bryn Jolson,你提起你的斯坦福同事布林乔尔森
93who did some fantastic research last year,去年他做了一些了不起的研究,
94showing that it seems like the more exposed a sector is to AI,显示一个部门受到AI的影响越大
95the worse job prospects are for people entering that sector.进入这个部门的人的工作前景最差。
96That research was pretty convincing to me,这研究对我来说很有说服力,
97and it seems to be borne out anecdotally,这似乎是传闻的,
98that getting a job as an entry-level software engineer作为初级软件工程师的工作
99with no skills, no previous work history,没有技能,没有以前的工作经历,
100is getting quite hard,越来越难了
101because you don't have much to offer in a way that you may have,因为你没有太多 以你可能拥有的方式,
102there were roles of just being a code monkey有个角色只是个密码猴子
103while you learn for a couple of years.你学了几年
104Eric's Canary paper was very thoughtful.埃里克的加那利论文非常周到.
105I think he actually has new data since then我觉得他从那时起 有了新的数据
106that paints a more optimistic picture.这描绘了更乐观的画面。
107To take software engineering again as an example,再次以软件工程为例
108I think the challenge is not the lack of jobs,我认为挑战不是缺乏工作
109the challenge is the slowness of our educational system挑战在于我们教育系统的缓慢
110to adapt, to train graduates to do the jobs that are now in demand.适应,培训毕业生完成目前需要的工作。
111So I think it's really unfortunate that today in many universities所以,我认为这是非常不幸的, 今天在许多大学
112it's still possible to get a bachelor's degree in computer science计算机科学的学士学位还是有可能的
113without having made a single API call or network call在没有发出一个API呼叫或网络呼叫的情况下
114to a frontier AI model.一个前沿AI模型。
115And today I'm not going to hire a software engineer今天我不会请软件工程师
116that's never done that.从来没有做到这一点。
117It's still possible to get a bachelor's degree学士学位还是有可能的
118in computer science in some universities一些大学的计算机科学
119without using an AI coding agent,没有使用AI编码代理,
120and frankly, none of my teams will hire a software engineer坦白说,我的团队中没有一个会雇用软件工程师
121that doesn't know how to use an AI coding agent.无法使用 AI 编码代理。
122So to me, the challenge is not this job apocalypse,所以对我来说,挑战 并不是这个工作启示录,
123we don't need junior people.我们不需要年轻人。
124Oh, over this last summer, my team had a lot of interns,去年夏天 我的团队有很多实习生
125including high school students, current college students, fresh grads,包括高中生、现任大学生、研究生、
126and they were great.他们是伟大的。
127They did a ton of work.他们做了很多工作。
128I'm really glad I had all these interns,我很高兴有这么多实习生
129but the trick is I hired only AI-native interns.关键是我只雇了人工智能实习生
130So the jobs are there, but we've got to fix the educational system.因此,工作是在那里, 但我们必须修复教育系统。
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