शैडोइंग अभ्यास: 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】 - वीडियो के साथ अंग्रेजी बोलना सीखें
पाठ बनाया जा रहा है...
1
This conversation is in the United States of the United States of America.
2
It's the year 9th of the family, Joe Moore.
3
The table is Obama.
4
It's only AI this topic.
5
He talked about 20 minutes.
6
He said that the last call to be able to slow down the AI companies are really worried about their products.
7
But to be able to control AI, it's ultimately to be靠 the government.
8
The topic is the director of the director.
9
AI this tool every day changes.
10
It's in the number of the私人 companies.
11
How do you control the society?
12
Okay, settle in here.
13
I might have to...
14
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.
15
I do not believe that this technology is overhyped.
16
The commercial benefits of it may be overhyped.
17
You know, the valuations of AI companies may be overhyped.
18
The technology itself is not overhyped.
19
I've been tracking this for a long time I actually in
20
2015 -16 in the last couple years my presidency I actually
21
was focused on this pulled together a commission of the best
22
minds in this area to talk about the not just the technology
23
but also the political social economic ethical concerns around this produced a terrific report.
24
Apparently, it got put in the same bin as my pandemic proposal.
25
It wasn't picked up by the administration that followed me.
26
So we could see this coming, but part of what makes this profound is it accelerates.
27
so what is happening right now is we have reached this point of what's called recursive learning where essentially
28
and we had anticipated this
29
but we're now seeing it the machines are starting to be
30
able to teach themselves they don't have to wait for humans to start figuring things out
31
And so if you think about it as, let's say, humans are teachers and the AI models are students.
32
As recently as, let's say,
33
a year ago, 90 % of the learning of these models was given to them by the teacher, humans
34
and maybe five to 10 % they could fill in some gaps and figure stuff out.
35
In less than a year maybe even less than six months we're now at a stage where it's 50 -50
36
and if the trend lines continue the expectation is it might be 90 -10.
37
What what this means is that we're now
38
if the learning track of AI has been like this we're
39
now hitting the hockey stick trajectory where the models are going to get smarter
40
and smarter and better and better at a much faster pace, at an exponential pace.
41
What are the risks of that?
42
There's the big science fiction risk of,
43
wow, these models get smarter than us and they decide humans are fine, but not necessary.
44
They start setting their own goals and the killer robots kill us or we bow down to them.
45
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
46
that happening but that's not actually the risk that I'm most concerned about although it's the risk that gets most attention
47
and the reason that's a risk is is not
48
because the the computer models are conscious necessarily it doesn't mean
49
that they are necessarily feel malice towards humans it's just
50
that if they start setting their own agendas they you may get a misalignment between what they want to do
51
and what we want them to do and
52
that gap can be dangerous that's problem number one the more serious problem is these models are getting powerful enough that
53
if they get in the hands of bad humans they can
54
do bad things they can be weaponized in certain ways they can do a lot of mischief That's a much bigger danger,
55
and if I said the danger of the first, or what's called the singularity,
56
and, you know, super intelligence taking over, if I say that's still a relatively small chance of that,
57
there's a great likelihood that rogue AI can cause a lot of havoc.
58
It's moving so fast that what happened over the last couple of weeks is that that a couple,
59
the leaders of what are called the frontier companies, the folks who are developing the very cutting edge of these models,
60
got scared enough themselves that they said, you know what, we need to slow down.
61
Now, two of those companies,
62
Anthropic and OpenAI, are about to launch massive IPOs that make all their employees millions and billions of dollars,
63
it is unprecedented for companies in that position to say,
64
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.
65
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
66
out competition by saying we need to put a slow this down etc the mistrust of these big tech companies
67
and the amount of power that they have amassed I understand I will say
68
that in this situation there they are genuinely worried about their
69
product all right so now that I've got your attention the good news is is
70
that these are still these AI is a tool it's a machine it's built to give you the illusion
71
that it's not but it is it's a really sophisticated remarkable technology
72
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.
73
If we use it properly, if we direct it at drug development to cure cancer,
74
it could vastly accelerate our ability to rid the world of cancer.
75
If we train it and say, figure out zero carbon emission energy sources,
76
it could come up with a safe formula for nuclear fusion
77
that actually gives us much more plentiful energy without warming the planet.
78
Really useful stuff.
79
But if we get this wrong, it could be chaotic and potentially catastrophic.
80
So, my view this week has been it is good
81
that some of the leading companies have said we need to slow this down,
82
and we should encourage that.
83
There have been some on the left who have said we shouldn't allow them to make that decision.
84
I agree that
85
that can't be a long -term solution government has to be
86
regulating this I heard one of Donald Trump's main advisors on this make the argument
87
that the market will take care of it these companies will solve the safety issues
88
because they have very incentive to do so
89
if it turns out to be dangerous people will just sue them and and you You know, they're worried about financial liability.
90
That's not how we treat airlines, or drug companies, or food companies.
91
We now have 150 years of experience
92
just letting the market do whatever it wants when it comes to things that deeply affect our health and our safety.
93
And so there's no replacement for an effective government regulatory structure.
94
And the challenge we have is that obviously we have a president currently that has said that's for losers.
95
So we've got a gap at least in a couple of years where things are moving really fast
96
and we have an administration that is not capable of or willing to,
97
I would argue both, of putting together a serious regulatory framework,
98
which is why I actually think we should be encouraging some sort of voluntary industry restraint, not because it's a replacement,
99
but because that's probably, that may be the best we can do for now until we can get Congress and the White House
100
to start getting serious about this.
101
I know some states are going to be trying to initiate regulatory stuff
102
but it's hard to do this state by state just like gun control you know in my home state of Illinois
103
you have some strict gun control laws but the surrounding states do not
104
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
105
There is another alignment problem,
106
though, and that is the misalignment between how this technology can be best used for society
107
and the commercial imperatives of these companies.
108
we are these companies have attracted more capital
109
and our it's a bigger spend than the moon pro the
110
Apollo program it is it is one of the biggest
111
if not the biggest investment in infrastructure and science and technology in human history and it's happening very fast and
112
investors want to return and what that means is is
113
that there is pressure on these companies even if they're worried
114
that they have to come up with models that will justify all
115
that investment so the big thing right now in AI is what They're called agents, agentic AI.
116
You guys, those of you who've watched like Iron Man, right?
117
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,
118
and he kind of goes, yes, sir, you know?
119
And he solves all of these problems just with voice orders.
120
Then no, or if you've seen her, Scarlett Johansson, a very cool, you know, agentic AI.
121
That's the direction we're going in,
122
because the notion is that agentic AI will allow these AI bots to operate,
123
these models to operate in the world.
124
Be your assistant, replace the law associate or the accountant.
125
the problem is when you
126
if that's your business model you want to then get it out
127
and sometimes you have to test it by letting it run wild in the world to see
128
if it's actually working and that's where a lot of the danger may come in
129
because you're not in a sealed box it's it's in the internet it's looking at your bank accounts, et cetera.
130
I use that as an example to say,
131
if we are thinking about AI just in terms of how do we cure cancer or get better energy,
132
you can do that without having agentic AI and having it just roaming free in the internet.
133
The reason you are doing that is because you have to market a product
134
that people will pay money for that's a misalignment between what our society needs and
135
the commercial imperatives that these companies are facing not because necessarily they're trying to
136
do bad things but because you know they've got a they've got to justify these valuations so
137
that's one more reason why it is really important for us to have a competent government
138
and a serious bipartisan conversation around this issue, and we have to do it fast.
139
And I would encourage voters to pay attention to this.
140
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.
141
All right.
142
Sorry about that, but I wanted to...
143
All right.
144
It's not the only thing we got to deal with, but it's a big one.
145
Obama said AI is a tool, how to use it for people who choose.
146
So he finally put the topic back to the選民.
147
The候選人 did AI拿不出认真的計劃, just換一個人.
148
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.
149
He said he said he said he said he said he
150
said he said he said he said he said he said
151
he said he said he said he said he said he
152
said he said he said he said he said he said
153
he said he said he said he said he said he
154
said he said he said he said he said I think it will be more likely to be more likely.
✨ अनुशंसित वीडियो
B21
33 वाक्य
THEY'RE HIDING THE TRUTH ABOUT AI
University StudentsBusiness English+2
C12
54 वाक्य
Did Google just kickstart the intelligence explosion?
American Accent, en-USUniversity Students+3
C12
325 वाक्य
BREAKING: Elon Musk And Jensen Huang Speak At America.Gov Event, An AI-Powered Government Website
University StudentsBusiness English+2
C11
254 वाक्य
AI Will Create New Wealth, But Not Where You Think | Carnegie Mellon University, Po-Shen Loh
University StudentsBusiness English+2
B21
12 वाक्य
Polite To AI video
High School StudentsUniversity Students+3
B21
85 वाक्य
Significant slowdown in AI payoff could tip economy into a recession, says Apollo Global's Slok
University StudentsBusiness English+2
C14
734 वाक्य
實戰練英文｜再不停，人類要滅了？！黃仁勳痛批 AI 末世論，川普突然 CALL-IN 亂入，大罵這個陰謀只會讓美國輸！｜Nvidia、All-In Summit｜長文、註解、大字版、中英對照
University StudentsBusiness English+2
B21
69 वाक्य
We’re already using AI more than we realize
University StudentsBusiness English+2
B21
386 वाक्य
Communicating the Future: Defining Where We Want AI To Take Us
University StudentsBusiness English+2
B21
112 वाक्य
‘We don’t have months’: Bernie Sanders sounds alarm on AI's 'extinction' threat
University StudentsBusiness English+2
B21
298 वाक्य
Godfather of AI WARNS: "You Have No Idea What's Coming"
University StudentsBusiness English+2
B22
20 वाक्य
Is the AI Boom Just Another Bubble?
University StudentsBusiness English+2
इस पाठ के बारे में
आप "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】" के साथ Shadowing तकनीक का उपयोग करके अपनी अंग्रेजी का अभ्यास कर रहे हैं।
शैडोइंग तकनीक क्या है?
शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।