跟读练习: 歐巴馬談 AI：喊放慢的公司「是真的在擔心自己的產品」【AI 大人說】 - 通过视频学习英语口语
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This conversation is in the United States of the United States of America.
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It's the year 9th of the family, Joe Moore.
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The table is Obama.
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It's only AI this topic.
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He talked about 20 minutes.
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He said that the last call to be able to slow down the AI companies are really worried about their products.
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But to be able to control AI, it's ultimately to be靠 the government.
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The topic is the director of the director.
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AI this tool every day changes.
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It's in the number of the私人 companies.
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How do you control the society?
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Okay, settle in here.
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I might have to...
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I'm a former senator, this might feel like a filibuster, but I'm gonna take some time on this and I wanna go a little deep on it.
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I do not believe that this technology is overhyped.
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The commercial benefits of it may be overhyped.
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You know, the valuations of AI companies may be overhyped.
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The technology itself is not overhyped.
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I've been tracking this for a long time I actually in
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2015 -16 in the last couple years my presidency I actually
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was focused on this pulled together a commission of the best
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minds in this area to talk about the not just the technology
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but also the political social economic ethical concerns around this produced a terrific report.
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Apparently, it got put in the same bin as my pandemic proposal.
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It wasn't picked up by the administration that followed me.
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So we could see this coming, but part of what makes this profound is it accelerates.
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so what is happening right now is we have reached this point of what's called recursive learning where essentially
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and we had anticipated this
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but we're now seeing it the machines are starting to be
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able to teach themselves they don't have to wait for humans to start figuring things out
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And so if you think about it as, let's say, humans are teachers and the AI models are students.
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As recently as, let's say,
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a year ago, 90 % of the learning of these models was given to them by the teacher, humans
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and maybe five to 10 % they could fill in some gaps and figure stuff out.
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In less than a year maybe even less than six months we're now at a stage where it's 50 -50
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and if the trend lines continue the expectation is it might be 90 -10.
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What what this means is that we're now
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if the learning track of AI has been like this we're
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now hitting the hockey stick trajectory where the models are going to get smarter
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and smarter and better and better at a much faster pace, at an exponential pace.
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What are the risks of that?
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There's the big science fiction risk of,
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wow, these models get smarter than us and they decide humans are fine, but not necessary.
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They start setting their own goals and the killer robots kill us or we bow down to them.
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I do not want to exaggerate that particular risk, but I will say there is a non -zero risk of the non -zero chance of
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that happening but that's not actually the risk that I'm most concerned about although it's the risk that gets most attention
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and the reason that's a risk is is not
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because the the computer models are conscious necessarily it doesn't mean
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that they are necessarily feel malice towards humans it's just
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that if they start setting their own agendas they you may get a misalignment between what they want to do
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and what we want them to do and
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that gap can be dangerous that's problem number one the more serious problem is these models are getting powerful enough that
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if they get in the hands of bad humans they can
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do bad things they can be weaponized in certain ways they can do a lot of mischief That's a much bigger danger,
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and if I said the danger of the first, or what's called the singularity,
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and, you know, super intelligence taking over, if I say that's still a relatively small chance of that,
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there's a great likelihood that rogue AI can cause a lot of havoc.
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It's moving so fast that what happened over the last couple of weeks is that that a couple,
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the leaders of what are called the frontier companies, the folks who are developing the very cutting edge of these models,
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got scared enough themselves that they said, you know what, we need to slow down.
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Now, two of those companies,
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Anthropic and OpenAI, are about to launch massive IPOs that make all their employees millions and billions of dollars,
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it is unprecedented for companies in that position to say,
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you know what, our stuff is a little bit dangerous and maybe we need to stop or slow it down, not stop, but slow it down.
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I say that because I think there are some people who think and understandably think, well these tech companies they might just be trying to block
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out competition by saying we need to put a slow this down etc the mistrust of these big tech companies
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and the amount of power that they have amassed I understand I will say
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that in this situation there they are genuinely worried about their
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product all right so now that I've got your attention the good news is is
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that these are still these AI is a tool it's a machine it's built to give you the illusion
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that it's not but it is it's a really sophisticated remarkable technology
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but it it should be thought of as a tool which means we have choices in terms of how we use this, and you're right.
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If we use it properly, if we direct it at drug development to cure cancer,
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it could vastly accelerate our ability to rid the world of cancer.
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If we train it and say, figure out zero carbon emission energy sources,
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it could come up with a safe formula for nuclear fusion
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that actually gives us much more plentiful energy without warming the planet.
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Really useful stuff.
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But if we get this wrong, it could be chaotic and potentially catastrophic.
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So, my view this week has been it is good
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that some of the leading companies have said we need to slow this down,
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and we should encourage that.
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There have been some on the left who have said we shouldn't allow them to make that decision.
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I agree that
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that can't be a long -term solution government has to be
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regulating this I heard one of Donald Trump's main advisors on this make the argument
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that the market will take care of it these companies will solve the safety issues
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because they have very incentive to do so
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if it turns out to be dangerous people will just sue them and and you You know, they're worried about financial liability.
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That's not how we treat airlines, or drug companies, or food companies.
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We now have 150 years of experience
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just letting the market do whatever it wants when it comes to things that deeply affect our health and our safety.
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And so there's no replacement for an effective government regulatory structure.
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And the challenge we have is that obviously we have a president currently that has said that's for losers.
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So we've got a gap at least in a couple of years where things are moving really fast
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and we have an administration that is not capable of or willing to,
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I would argue both, of putting together a serious regulatory framework,
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which is why I actually think we should be encouraging some sort of voluntary industry restraint, not because it's a replacement,
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but because that's probably, that may be the best we can do for now until we can get Congress and the White House
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to start getting serious about this.
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I know some states are going to be trying to initiate regulatory stuff
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but it's hard to do this state by state just like gun control you know in my home state of Illinois
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you have some strict gun control laws but the surrounding states do not
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which means that they don't work this is more dangerous and it moves fasterAI自己想做的事跟人要他做的事对不上AI圈把这个叫做对齐问题就是他前面排第一个的那种风险
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There is another alignment problem,
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though, and that is the misalignment between how this technology can be best used for society
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and the commercial imperatives of these companies.
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we are these companies have attracted more capital
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and our it's a bigger spend than the moon pro the
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Apollo program it is it is one of the biggest
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if not the biggest investment in infrastructure and science and technology in human history and it's happening very fast and
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investors want to return and what that means is is
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that there is pressure on these companies even if they're worried
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that they have to come up with models that will justify all
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that investment so the big thing right now in AI is what They're called agents, agentic AI.
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You guys, those of you who've watched like Iron Man, right?
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Iron Man's in his little suit, and he, I don't remember what the guy's name is, Jeeves or whatever, and he just talks, and the guy's like, he has a British accent or something,
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and he kind of goes, yes, sir, you know?
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And he solves all of these problems just with voice orders.
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Then no, or if you've seen her, Scarlett Johansson, a very cool, you know, agentic AI.
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That's the direction we're going in,
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because the notion is that agentic AI will allow these AI bots to operate,
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these models to operate in the world.
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Be your assistant, replace the law associate or the accountant.
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the problem is when you
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if that's your business model you want to then get it out
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and sometimes you have to test it by letting it run wild in the world to see
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if it's actually working and that's where a lot of the danger may come in
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because you're not in a sealed box it's it's in the internet it's looking at your bank accounts, et cetera.
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I use that as an example to say,
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if we are thinking about AI just in terms of how do we cure cancer or get better energy,
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you can do that without having agentic AI and having it just roaming free in the internet.
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The reason you are doing that is because you have to market a product
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that people will pay money for that's a misalignment between what our society needs and
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the commercial imperatives that these companies are facing not because necessarily they're trying to
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do bad things but because you know they've got a they've got to justify these valuations so
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that's one more reason why it is really important for us to have a competent government
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and a serious bipartisan conversation around this issue, and we have to do it fast.
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And I would encourage voters to pay attention to this.
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If somebody does not have a serious plan for how to deal with this, then they're not meeting the moment, and you should probably look for somebody else.
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All right.
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Sorry about that, but I wanted to...
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All right.
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It's not the only thing we got to deal with, but it's a big one.
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Obama said AI is a tool, how to use it for people who choose.
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So he finally put the topic back to the選民.
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The候選人 did AI拿不出认真的計劃, just換一個人.
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In the video, Obama said, Obama said if he wanted to help him, he said he said he was a group of people who don't want to do it.
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He said he said he said he said he said he
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said he said he said he said he said he said
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he said he said he said he said he said he
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said he said he said he said he said he said
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he said he said he said he said he said he
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said he said he said he said he said I think it will be more likely to be more likely.
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本课的词汇与口语要点
这段视频共有 154 个句子、2016 个单词可供跟读。 讲话部分时长为 15:58。 说话人语速平稳，每分钟约 126 个词，很适合跟读。 88% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。
视频中的重点词汇
视频中 15 个值得学习的单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| topic 名词 | /ˈtɑpɪk/ | 主題 /主题, 話題 /话题 |
| necessarily 副词 | /ˌnɛs.əˈsɛɹ.ə.li/ | 必然地, 必定地 |
| encourage 动词 | /ɪnˈkʌɹ.ɪd͡ʒ/ | 鼓勵 /鼓励, 激勵 /激励 |
| solve 动词 | /sɒlv/ | 解決 /解决 |
| pace 名词 | /peɪs/ | 步伐, 步幅 |
| cure 动词 | /kjɔː/ | 治療 /治疗 |
| justify 动词 | /ˈd͡ʒʌstɪfaɪ/ | 辯解 /辩解, 辯護 /辩护 |
| accelerate 动词 | /ɪkˈsɛl.əˌɹeɪt/ | 加速 |
| imperative 形容词 | /ɪmˈpɛɹ.ə.tɪv/ | 迫切的, 必須的 /必须的 |
| gap 名词 | /ɡæp/ | 間隙 /间隙 |
| killer 名词 | /ˈkɪlɚ/ | 殺手 /杀手, 兇手 /凶手 |
| proposal 名词 | /pɹəˈpoʊzəl/ | 提議 /提议, 建議 /建议 |
| argue 动词 | /ˈɑɹ.ɡju/ | 辯論 /辩论, 爭辯 /争辩 |
| infrastructure 名词 | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | 基礎設施 /基础设施 |
| formula 名词 | /ˈfɔː.mjʊ.lə/ | 公式 |
视频中出现的短语动词
| 单词 | 释义 |
|---|---|
| come up with 动词 | 想出, 提出 |
| slow down 动词 | 減速 /减速, 放慢 |
| figure out 动词 | 弄清楚 |
| pick up 动词 | 拾取, 撿 /捡 |
| put together 动词 | 拼合, 組合 /组合 |
| take over 动词 | 接管, 接手 |
视频中的语法
说话人最常用的结构，并附上视频中的原话：
| 结构 | 视频中的用法 |
|---|---|
| 现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事 | have reached · has been · have amassed |
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | is overhyped · may be overhyped · is not overhyped |
| 定语从句 who / which + 从句 — 补充说明人或事物 | people who think · tool which means · people who choose |
需要注意的发音
说话人用了 32 次缩略和弱读形式，例如 they're, we're, don't。请按听到的简短形式来说。
- “th” 音: ethical /ˈɛθɪkəl/, anthropic /ænˈθɹɒp.ɪk/
- “sh” 和 “zh” 音: valuation /ˌvæ.ljuːˈeɪ.ʃən/, fiction /ˈfɪkʃən/, essentially /ɪˈsɛnʃəli/, associate /əˈsoʊʃi.ət/, potentially /pəˈtɛnʃ(ə)li/
- 长单词——注意重音位置: necessarily /ˌnɛs.əˈsɛɹ.ə.li/, regulatory /ˈɹɛɡ.jʊ.lə.t(ɔː.)ɹi/, valuation /ˌvæ.ljuːˈeɪ.ʃən/, accelerate /ɪkˈsɛl.əˌɹeɪt/, imperative /ɪmˈpɛɹ.ə.tɪv/
如何用这段视频练习
- 先完整听一遍视频，不要开口，记下不认识的单词。
- 用正常速度逐句跟读，每句重复到你的节奏与说话人一致为止。
- 录下自己的声音并与原声对比，特别注意 topic, necessarily, encourage 这类单词。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。