Shadowing Practice: 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】 - Learn English Speaking with Video
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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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אוצר מילים והערות הגייה לשיעור הזה
שיעור הדיבור הזה ברמה C1 מבוסס על הסרטון “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】”. בסרטון הזה יש 154 משפטים ו-2016 מילים לתרגול Shadowing. הדיבור נמשך 15:58. הדובר שומר על קצב יציב של כ-126 מילים בדקה, קצב נוח לתרגול Shadowing. 88% מהמילים נמצאות בין 3,000 המילים הנפוצות ביותר באנגלית; כדאי ללמוד את השאר לפני שמתחילים.
אוצר מילים מרכזי בסרטון הזה
15 המילים המתקדמות ביותר בסרטון, עם ההגייה והמשמעות שלהן:
| מילה | הגייה | משמעות |
|---|---|---|
| accelerate פועל | /ɪkˈsɛl.əˌɹeɪt/ | האיץ |
| exaggerate פועל | /ɛɡˈzæd͡ʒ.ə.ɹeɪt/ | הגזים |
| exponential שם תואר | /ˌɛk.spəˈnɛn.t͡ʃəl/ | מעריכי, אקספוננציאלי |
| mischief שם עצם | /ˈmɪsˌt͡ʃiːf/ | תַּעֲלוּל |
| trajectory שם עצם | /tɹəˈd͡ʒɛktəɹi/ | מַסְלוּל |
| chaotic שם תואר | /keɪˈɑtɪk/ | כָּאוֹטִי |
| accountant שם עצם | /əˈkaʊn.tənt/ | רוֹאֵה חֶשְׁבּוֹן |
| unprecedented שם תואר | /ʌnˈpɹɛsɪdɛntɪd/ | חֲסַר תַּקְדִּים |
| bot שם עצם | /bɑt/ | בּוֹט |
| illusion שם עצם | /ɪˈl(j)uːʒ(ə)n/ | אַשְׁלָיָה |
| investor שם עצם | /ɪnˈvɛs.tə(ɹ)/ | מַשְׁקִיעַ |
| incentive שם עצם | /ɪnˈsɛntɪv/ | תמריץ |
| loser שם עצם | /luzɚ/ | מַפְסִידָן, לווּזֶר |
| advisor שם עצם | /ædˈvaɪ.zə(ɹ)/ | יוֹעֵץ |
| airline שם עצם | /ˈɛɹˌlaɪn/ | חֶבְרַת תְּעוּפָה |
Phrasal verbs שתשמעו
| מילה | משמעות |
|---|---|
| figure out פועל | הֵבִין, מצא תשובה |
| pick up פועל | הרים, אסף |
דקדוק בסרטון הזה
המבנים שהדובר משתמש בהם הכי הרבה, עם המילים המדויקות מהסרטון:
| מבנה | בסרטון |
|---|---|
| הווה מושלם (Present perfect) have/has + past participle — פעולה שקרתה בעבר ועדיין יש לה חשיבות או השפעה עכשיו | have reached · has been · have amassed |
| סביל (Passive voice) be + past participle — הדגש הוא על מה שקורה, לא על מי שעושה את הפעולה | is overhyped · may be overhyped · is not overhyped |
| משפטי זיקה (Relative clauses) who / which + clause — מידע נוסף על אדם או דבר | people who think · tool which means · people who choose |
הגייה ששווה לשים לב אליה
הדובר משתמש ב-32 קיצורים וצורות מקוצרות, כמו they're, we're, don't. אמרו אותם בצורה הקצרה, כפי שאתם שומעים אותם.
- הצלילים של “th”: anthropic /ænˈθɹɒp.ɪk/, ethical /ˈɛθɪkəl/
- הצלילים של “sh” ו-“zh”: valuation /ˌvæ.ljuːˈeɪ.ʃən/, emission /ɪˈmɪʃ.ən/, initiate /ɪˈnɪʃ.i.eɪt/, illusion /ɪˈl(j)uːʒ(ə)n/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
- מילים ארוכות — שימו לב להטעמה: imperative /ɪmˈpɛɹ.ə.tɪv/, accelerate /ɪkˈsɛl.əˌɹeɪt/, valuation /ˌvæ.ljuːˈeɪ.ʃən/, bipartisan /baɪˈpɑɹ.tə.sən/, exaggerate /ɛɡˈzæd͡ʒ.ə.ɹeɪt/
צלילים שדוברי עברית מתקשים בהם:
- /æ/ — פתוח יותר מה-“אֶ” העברית, לא כמו “a” ב-“cup”: valuation /ˌvæ.ljuːˈeɪ.ʃən/, anthropic /ænˈθɹɒp.ɪk/, exaggerate /ɛɡˈzæd͡ʒ.ə.ɹeɪt/, malice /ˈmælɪs/, singularity /ˌsɪŋɡjəˈlæɹətɪ/
- /r/ — הלשון לא נוגעת בשום מקום, לא ה-“ר” הגרונית: imperative /ɪmˈpɛɹ.ə.tɪv/, accelerate /ɪkˈsɛl.əˌɹeɪt/, anthropic /ænˈθɹɒp.ɪk/, bipartisan /baɪˈpɑɹ.tə.sən/, exaggerate /ɛɡˈzæd͡ʒ.ə.ɹeɪt/
- עיצור קולי בסוף מילה — /b/, /d/, /g/, /z/, /v/ בלי להפוך אותם לאטומים: imperative /ɪmˈpɛɹ.ə.tɪv/, recursive /ɹɪˈkɜː(ɹ)sɪv/, weaponize /ˈwɛpənaɪz/, surround /səˈɹaʊnd/, unprecedented /ʌnˈpɹɛsɪdɛntɪd/
איך לתרגל עם הסרטון הזה
- הקשיבו לכל הסרטון פעם אחת בלי לדבר, ורשמו את המילים שאתם לא מכירים.
- תרגלו Shadowing משפט אחר משפט במהירות רגילה, וחזרו על כל משפט עד שהקצב שלכם תואם את הדובר.
- הקליטו את עצמכם והשוו למקור, תוך תשומת לב למילים כמו accelerate, exaggerate, exponential.
מהי טכניקת השאדואינג?
שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.