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bilibili_data_511006049_BV1tm4y1c74J_BV1tm4y1c74J_m4-dialogue_1040000 | [S1] Probably the toughest skin on the planet, 'cause millions of people have said things about me, decided who I am. That's not even me. It's hard to, like, just swallow that. My friends and my family know who I am, so that's really all that matters. [S2] And I also, like, this is real. Friendship is real. [S1] Oh, ri... | 20.96 | 2.974061 | 24,000 | audio/en/bilibili_data_511006049_BV1tm4y1c74J_BV1tm4y1c74J_m4-dialogue_1040000.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201344 | [S1] How would you describe this current moment in AI, machine learning, whatever we want to call it? [S2] I think it's a pivotal moment. [S1] Yeah. [S2] Chat-GPT has shown that these big language models can do amazing things, and the general public has suddenly caught on. [S1] Yeah, we have. [S2] Because Microsoft rel... | 29.84 | 3.280775 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201344.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201345 | Um, it's, well, I've used lots of things that came before Chat GPT that were quite similar. So, um, Chat GPT itself, um, didn't amaze me much. [S1] Oh. [S2] GPT-2, which was one of the earlier language models- [S1] Right. [S2] ... amazed me. And a model at Google amazed me that could actually explain why a joke was fun... | 29.44 | 3.203936 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201345.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201346 | [S1] And that, you, it seems very hard to say it doesn't understand when it can tell you why a joke's funny. [S2] So if Chat GPT wasn't all that surprising or impressive, were you surprised by the public's reaction to it? 'Cause the reaction was big. [S1] Yes, I think everybody was a bit surprised by how big the reacti... | 22.92 | 3.063694 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201346.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201347 | [S1] Maybe we shouldn't have been surprised, but people, the researchers, have kind of got used to the fact that these things actually worked. [S2] Yeah. You were famously, like, half a century ahead of the curve on this AI stuff. Go, go ahead and correct me. Go ahead. [S1] Not really. [S2] Not really because- [S1] Um,... | 25.76 | 2.990184 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201347.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201349 | [S1] That's what I believe. This is my personal opinion. But all of the big models now use a technique called back propagation. [S2] Which you helped popularize in the 80s. [S1] That's right, I helped popularize- | 9.4 | 3.213393 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201349.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201350 | [S1] ... in the 80s. [S2] ... in the 80s. Very good. Um, and I don't think that's what the brain is doing. [S1] Explain why. [S2] Okay. There's a fundamental difference between two different, there's two different paths to intelligence. So one path is the biological path where you have hardware that's a bit flaky, an a... | 27.6 | 3.143268 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201350.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201351 | [S1] But instead of being able to communicate a hundred trillion numbers, we can only communicate what you can say in a sentence, which is not that many bits per second. [S2] Yeah. [S1] And so we're really bad at communicating compared with these current computer models that run on digital computers. [S2] It's almost i... | 19.76 | 3.166386 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201351.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201352 | [S1] ... Sense signals. [S2] ... communication bandwidth is huge. [S1] Yeah. [S2] Because they're exactly the same model. They're clones of the same model running on different computers. And because of that, they can see huge amounts of data. Because different computers can see different datas and then they can combine... | 21.84 | 3.325074 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201352.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201353 | [S1] Yes. It would do amazing. It would do amaz- and it can do all the- it can write poems, it can- [S2] Yeah. [S1] You know. Um, they're not so good at reasoning. [S2] Mm-hmm. [S1] We're better at reasoning. We have to extract our knowledge from much less data. So we've got 100 trillion connections, most of which we l... | 25.24 | 3.159808 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201353.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201354 | [S1] I've run for much more time than that to absorb all this data, but on many different computers. [S2] 1986, you publish a thing in Nature that is the idea we're going to have a sentence of words and it'll predict the last word. [S1] Yes. That was the first language model. [S2] That's basically what we're doing now.... | 23.84 | 3.184744 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201354.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201355 | [S1] Oh, because back then, if you ask how much data I trained that model on, I had a little, um, simple world of just family relationships. There were 112 possible sentences, and I trained it on 104 of them and checked out whether it got the last eight right. [S2] Okay. And how did it do? [S1] It got most of the last ... | 24.72 | 3.360165 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201355.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201356 | [S1] The computers we have now are millions of times faster. They're parallel, but they can do millions of times more competition. So I did a little computation. If I'd taken the, um, computer I had back in 1986 and I started learning something on it, it would still be running now and not have got there. [S2] Huh. [S1]... | 28.08 | 3.046263 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201356.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201357 | [S1] How people might actually learn. And these other techniques looked even less plausible than back propagation. [S2] Yeah. Which is an interesting part of your background. You came to this, not 'cause you were interested in computers necessarily, but because you were interested in the brain. [S1] Yes. I sort of deci... | 28.48 | 2.992122 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201357.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201358 | [S1] And G is generative. [S2] Yeah. [S1] And it was actually generative models provided this better way of pre-training neural nets. So the seeds of it were there in 2006. In, by 2009, we'd already produced something that was better than the best speech recognizers, recognizing which phoneme you were saying. [S2] Usin... | 23.32 | 3.225944 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201358.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201359 | [S1] ... than, than the standard approach, which have been tuned for 20, for 30 years. There were other people using neural nets, but they weren't using deep neural nets. [S2] And then there's a big thing happens in 2012. [S1] Yes. It's actually two big things. [S2] Okay. [S1] One is that the research we'd done in 2009... | 28.68 | 3.10069 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201359.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201360 | [S1] And in 2012, Google was the first to get it into a product. And suddenly, speech recognition on the Android became as good as Siri, if not better. [S2] Mm. [S1] Um, so that was a deployment of deep neural nets applied to speech recognition three years earlier. At the same time as that happened, within a few months... | 23.32 | 3.151245 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201360.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201361 | [S1] Okay. There was someone called Fei-Fei Lee and her collaborators. They created a big database of images, like a million images of a thousand different categories. You'd have to look at an image and give your best guess about what the primary object was in the image. So the images would typically have one object in... | 25.64 | 3.274736 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201361.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201362 | [S1] Um, we're getting like 25% errors and we were getting like 15% errors. [S2] Okay. [S1] Within a few years, that 15% went down to 3%, which was about human level. [S2] And can you explain in a way people would understand the difference between the way they were doing it and the way your team did it? [S1] I can try.... | 18.64 | 3.113107 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201362.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201363 | [S1] Okay. So suppose you wanted to recognize a bird in an image. [S2] Okay. [S1] The image itself, let's suppose it's a 200 by 200 image. That's got 200 times 200 pixels, and each pixel has three values for the three colors RGB. And so you've got 200 by 200 by three numbers in the computer. It's just numbers in the co... | 27 | 3.300242 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201363.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201364 | [S1] ... to take those numbers in the computer and convert them to a string that says bird. [S2] Okay. [S1] So how would you go about doing that? And for 50 years, people in standard AI tried to do that and couldn't. Okay? It's tricky to- [S2] Yeah. [S1] ... convert a bunch of numbers into a label that says bird. So he... | 18.88 | 3.128619 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201364.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201365 | [S1] At the first level of features, you might make feature detectors, things that detect little combinations of pixels. [S2] Okay. [S1] So you might make a feature detector that said, "Look, if all these pixels are dark and all these pixels are bright, I'm gonna turn on." [S2] Right. [S1] And so that feature detector ... | 29.84 | 3.275812 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201365.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201366 | [S1] So if you look in a cat or monkey cortex, it's got feature detectors like that. Um, then at the next level, you might say, if you were wiring it up by hand, you would create all these little feature detectors. At the next level, you would say, um, okay, suppose I have two, two edge detectors that join at a fine an... | 29.84 | 3.263573 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201366.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201367 | [S1] Notice a bunch of edges that sort of form a circle. We might have a detector for that. [S2] Okay. [S1] Then at the next level up, we might have a detector that says, "Hey, I find this beak-like thing, and I find a circular thing in roughly the right spatial relationship to make the eye and the beak of a bird." And... | 28.2 | 3.155068 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201367.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201368 | [S1] Just put in random weights to begin with. And now the feature detection will just be rubbish. It'll be garbage. [S2] Okay. [S1] Okay? But look to see what it predicts. [S2] Okay. [S1] And if it happened to predict bird, it wouldn't. But if it happened to, leave the weights alone. Um- [S2] You got it right. [S1] Th... | 23 | 3.2822 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201368.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201369 | [S1] And you can ask this with a branch of mathematics called calculus, but you just need to think about the question. And the question is, how should I change this connection strength so it's less likely to say cat and more likely to say bird? That's called the er- the error, the discrepancy, right? [S2] Okay. [S1] An... | 26.48 | 3.254329 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201369.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201371 | [S1] ... the dials. [S2] It just keeps doing that. And now if you showed enough birds and enough cats, when you showed a bird, it'll say bird, and when you showed a cat, it'll say cat. And it turns out, that works much, much better than trying to wire everything by hand. [S1] And that's what your students did on this i... | 25.4 | 3.003817 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201371.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201372 | [S1] Yeah. I, I, it was. Um, mainly because the other people in computer vision thought, okay, so these neural nets, they work for simple things like recognizing a handwritten digit, but that's not a real complicated image with sort of natural background and stuff. It's never going to work for these big complicated ima... | 25.16 | 3.326836 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201372.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201373 | [S1] Staunch critics of neural nets and said, "These things are never going to work." When they worked, they did something that scientists don't normally do, which is said, "Oh, it worked. We'll do that." [S2] People see it as a huge shift. [S1] Yes. It was quite impressive that they flipped very fast because they saw ... | 16.64 | 3.174984 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201373.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201374 | [S1] You make this point that when people are thinking both about their machines and about ourselves and the way we think, we think language in, language out, must be language in the middle. [S2] Yes. [S1] And this is an important misunderstanding. [S2] Yeah, I think that's- [S1] Can you just explain that? [S2] I think... | 18.72 | 3.048982 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201374.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201375 | [S1] Yeah. Are we all about to be radiologists, though? [S2] Well, then, computers are not better. I was wrong. It's going to take 10 years, not five. I wasn't wrong in spirit. I just, I, I factored two. Computers are now comparable with radiologists at a lot of medical images. [S1] Yeah. [S2] They're not way better at... | 28.84 | 3.069005 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201375.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201376 | [S1] So, there's the biological route to intelligence, where every brain is different, and we have to communicate knowledge from one to another by using language. And there's the current AI version of neural nets, where you have identical models running on different computers, and they can actually share the connection... | 22.08 | 3.089044 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201376.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201377 | [S1] Yeah. So they can share all the connection strengths for recognizing a bird. And one can learn to recognize cats and the other can learn to recognize birds and they can share their connection strengths and now each of them can do both things. [S2] Right. [S1] And that's what's happening in these big language model... | 25.12 | 3.11022 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201377.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201378 | [S1] Lots of inconsistent data. It's trying to predict what someone will say next on the web. [S2] Yeah. [S1] And people have different opinions. And it has to have a kind of blend of all these opinions so that it can model what anybody might say. It's very different from a person who tries to have a consistent worldvi... | 22.16 | 3.004848 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201378.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201379 | Um, it's good to have a consistent worldview. And I think what's go- one thing that's going to happen is we're going to move towards systems that, um, can understand different worldviews and can understand that, okay, if you have this worldview, then this is the answer. [S1] Mm. [S2] And if you have this other worldvie... | 29.6 | 3.135683 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201379.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201380 | [S1] Certainly on many topics. [S2] On many topics. [S1] Or even most topics. [S2] Yeah, like the Earth is actually not flat. It just looks flat. Right? [S1] Yeah, so do we really want a model that says, "Well, for some people, like, we don't know." [S2] That's going to be a big issue, and we don't know, we don't know ... | 26.72 | 2.895381 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201380.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201381 | [S1] It's very tricky things. You don't want some big for-profit company deciding what's true. It doesn't- [S2] But they're controlling how we turn the neurons. [S1] Well, Google is very careful not to do that at present. Um, what Google will do is refer you to relevant documents- [S2] Yeah. [S1] ... which have all sor... | 20.52 | 3.110724 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201381.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201382 | [S1] Well, they haven't released their chat product, at least as we speak. [S2] Right. [S1] Um, but we've seen, at least the people that have released chat products, feel like there are certain things they don't want to be said by their voice. [S2] Might- [S1] And so they go in there and meddle with it so it won't say ... | 25.44 | 3.231076 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201382.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201383 | [S1] And it'll probably, um, come with lots of warnings. This is just a chatbot. [S2] Yeah. [S1] And, and don't necessarily believe what it says. [S2] Careful in the labeling or careful in the way they meddle with it so it doesn't do lousy things? [S1] All of those things. Careful in how they present it as a product an... | 29.6 | 3.140029 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201383.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201384 | [S1] But many of the most important ones are not. [S2] Yes. So that is a big open issue at present. I think Microsoft was extremely brave to release Chat GPT. [S1] Yeah. Do you see this as like a large, some people see this as a larger societal thing. We need either regulation or big public debates about how we handle ... | 28.4 | 3.106951 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201384.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201385 | [S1] Like I say, I don't know the answer and I don't believe anybody really knows how to handle these issues. We're going to have to learn quite fast how to handle these issues because it's a big problem at present. But- [S2] Yeah. [S1] How, how it's going to be done, I don't know. But I suspect as a first step, at lea... | 26.36 | 2.968261 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201385.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201386 | [S1] Some people are worried that this could take off very quickly and we just might not be ready for that. Does that concern you? [S2] It does a bit. Until quite recently, I thought it was going to be like 20 to 50 years before we have general purpose AI. [S1] Yeah. [S2] And now I think it may be 20 years or less, so.... | 29.76 | 3.269765 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201386.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201387 | [S1] Yeah, it's, it's particularly for things like autonomous lethal weapons. [S2] Okay. [S1] We'd like to have something like Geneva conventions, like chemical weapons. People decided they were so nasty, they weren't going to use them. Except just occasionally. But, I mean, basically they don't use them. People would ... | 25.48 | 2.989214 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201387.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201388 | [S1] This is like the most pointed version of the question, and you can just laugh it off or not answer it if you want, but what do you think the chances are of AI just wiping out humanity? Can we put a number on that? [S2] It's somewhere between, um, 0% and 100%. [S1] [LAUGHS] Okay. So, not it. [S2] I mean, I think, I... | 23.36 | 3.04423 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201388.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201389 | [S1] That's all I'll say. [S2] Okay. [S1] I think if we're sensible, we'll try and develop it so that it doesn't. But what worries me is the political situation we're in. [S2] Yeah. [S1] Where it needs everybody to be sensible. [S2] There's a massive political challenge, it seems to me, and there's a massive economic c... | 28 | 3.178476 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201389.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201390 | [S1] Maybe. I mean, I only really know about Google. That's the only corporation I've worked for. [S2] Yeah. [S1] And- [S2] They've been among the most cautious. [S1] They're extremely cautious about AI because they've got this wonderful search engine- [S2] Yeah. [S1] ... that gives you the answers you want to see, and... | 26.88 | 2.957743 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201390.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201391 | [S1] Yeah. But it was easy for Google to take it slow when there wasn't someone nipping at their heels. And this seems to be exactly the issue you have at Grace. [S2] So Google has actually been in the lead. I mean, transformers were invented at Google. [S1] Right. [S2] The big language models, early ones, were at Goog... | 22.04 | 3.178176 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201391.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201393 | [S1] And you saw that this was where the money was coming from for this kind of work. [S2] So that department, almost all their money came from the defense department. [S1] You started to talk about the concerns that bringing this technology to warfare could present. What, what are your concerns? [S2] Oh, that, um, the... | 28.84 | 2.954014 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201393.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201394 | [S1] I'm on a mailing list from the US Defense Department. I'm not sure they know I'm on the mailing list. [S2] It's a big list. They didn't notice you're there. [S1] Yeah. [S2] You might be off tomorrow. [S1] I might be off tomorrow. [S2] What's on the list? [S1] Oh, they just describe various things they're gonna do.... | 20.2 | 2.853378 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201394.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201395 | [S1] The thing that disgusted me most was a proposal for a self-healing minefield. So the idea is, look at it from the point of view of the minefield. When some silly civilian trespasses into the minefield, they get blown up, and that makes a hole in the poor minefield. So it's got a gap in there, so it's not fit for p... | 27.32 | 2.989191 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201395.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201396 | [S1] And so people like Putin are not going to want robots like that. [S2] Mm-hmm. [S1] And, but as soon as it's got an ability to create sub-goals, you have what's called the alignment problem, which is how do you, how are you sure it's not going to create sub-goals that are going to be, um, not good for people, not g... | 28.44 | 3.125854 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201396.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201397 | [S1] Well, that's, they're being designed to hurt people. [S2] Yeah. Do you see any way out of this? Is it a treaty? Is it, what is it? [S1] I think the best bet is something like a Geneva Convention, but it's going to be very difficult. I think if there was a lot of public outcry, that might persuade. I can imagine th... | 29.52 | 3.002341 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201397.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201398 | [S1] No, that's true. They are just predicting the next word. [S2] Oh, yeah. [S1] And so they're just auto-complete. But ask yourself the question of, what do you need to understand about what's been said so far in order to predict the next word accurately? And basically you have to understand what's been said to predi... | 24.52 | 3.258386 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201398.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201399 | [S1] Yeah. [S2] But to do that, you have to understand the sentence. So let me give you a, a little example from translation. It's a very Canadian example. [S1] Okay. [S2] Suppose I take the sentence, "The trophy would not fit in the suitcase because it was too big." And I want to translate that into French. [S1] Okay.... | 28.04 | 3.146524 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201399.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201400 | [S1] And in French, trophy has a particular gender, so you know what pronoun to use. [S2] Yeah. [S1] But suppose I say, "The trophy would not fit in the suitcase because it was too small." | 9.4 | 3.226326 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201400.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201402 | [S1] So you have to understand just to do machine translation or to predict that pronoun. If you want to predict that pronoun, you've got to understand what's being said. It's not enough just to- [S2] Yeah. [S1] ... treat it as a string of words. | 11.16 | 3.150564 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201402.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201403 | [S1] That's an issue, right? We have to think hard about how to control that. [S2] Yeah. Can we? [S1] We don't know. We haven't been there yet, but we can try. [S2] Okay. That seems kind of concerning. [S1] Um, yes. [S2] Do you have any, you're seen as like a godfather of this industry. Do you have any concern about wh... | 26.2 | 2.927984 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201403.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201404 | [S1] I think time to prepare would be good. And so I think it's very reasonable for people to be worrying about those issues now, even though it's not going to happen in the next year or two. [S2] Yeah. [S1] People should be thinking about those issues. [S2] We haven't even touched on job displacement, um, which is jus... | 27.4 | 3.158068 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201404.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201405 | [S1] 10% of the programmers. Well, you could have the same number of the programmers producing ten times as much stuff. [S2] Yeah. [S1] And I think there's going to be a lot of trade-offs like that. You'll, they'll, once these things start being creative, there'll be hugely more stuff created. [S2] This is the biggest ... | 29.56 | 3.031307 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201405.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201406 | [S1] Or maybe the wheel. [S2] Yeah. That was earlier. [S1] Yeah. Okay. So buckle up. | 7.92 | 2.933689 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201406.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201407 | [S1] One of the reasons AI got a, Toronto got a big lead in AI is because of the policies of the granting agencies in Canada, which don't have much money. [S2] Mm. [S1] But they use some of that money to support curiosity-driven basic research. [S2] Okay. [S1] And so in the States, the funding comes and you have to say... | 29.24 | 2.861032 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201407.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201408 | [S1] ... to employ graduate students and other researchers, to explore things they're curious about. And if they seem to be good at that, then they get more money three years later. And that's what supported both Yoshio Benji and me. It was money for curiosity-driven basic research. And we've seen that before. [S2] Eve... | 23 | 3.105502 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201408.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201409 | [S1] CIFAR set up a program in AI. It set up one originally in the 1980s, which is the one that brought me to Canada, which was in symbolic AI. And I- [S2] Oh, and yet you came. [S1] I was an oddball. [S2] Okay. [S1] I was kind of weird 'cause I did this stuff everybody else thought was nonsense. They recognized that I... | 22.68 | 2.952296 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201409.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201410 | [S1] One of my letter of recommendation said that. It, it said, you know, the, I don't believe in this stuff, but if you want somebody to do it, Jeff Hinton's the guy. [S2] Okay. [S1] Um, and then after that program finished, I went back to Britain for a few years. And then when I came back to Canada, they decided to f... | 24.84 | 2.991261 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201410.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201411 | [S1] Yeah, I, when it comes to sentience, I'm amazed that, um, people can confidently pronounce, "These things are not sentient." And when you ask them what they mean by sentient, they say, "Well, they don't really know." [S2] [LAUGHS] [S1] So how can you be confident they're not sentient if you don't know what sentien... | 28.64 | 2.885004 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201411.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201413 | [S1] Well, I think a good, a good context to think of this in is an autonomous lethal weapon. [S2] Yeah. [S1] Okay? So it's all very well saying it's not sentient, but when it's hunting you down to shoot you, um, yeah, you're going to start thinking it's sentient. [S2] Yeah. Or not really caring. Not an important stand... | 19.12 | 2.930761 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201413.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201414 | [S1] The kind of intelligence we're developing is very different from our intelligence. So it's this idiot-savant kind of intelligence. [S2] Yeah. [S1] So it's quite possible there's, if it is a tool-centred, it's a sentient in a somewhat different way from us. [S2] Yeah. But your goal is to make it more like us, and y... | 23.8 | 3.209501 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201414.mp3 | [
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bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201415 | [S1] The physicist called Richard Feynman said, "You can't, you don't, can't understand things unless you can build them." [S2] Mm. [S1] That's the real test of do you understand it. [S2] And so you've been building. [S1] So I've been building. | 10.68 | 2.960333 | 24,000 | audio/en/bilibili_data_511778815_BV1eh411g75A_BV1eh411g75A_m4-dialogue_0201415.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820069 | [S1] Did you cry with someone? [S2] Yes. Um, I, I followed my, my own, my own counsel to my friends, and when I had to cry, when I was overwhelmed, I, I picked up the phone and I just cried. Um, and I had friends call me and do the same. [S1] And that was healing, nah. [S2] There, the most important thing that came fro... | 29.04 | 3.191577 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820069.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820070 | [S1] Yeah, are you okay is the best, is, you know, how are you? Is, it's sort of, you, you know, a friend of mine who, who, he, George Flynn, he says his test for, uh, uh, leader, uh, is, is, um, if they ask you how you're doing, they actually care about the answer. [S2] [LAUGHS] [S1] Uh, and I, I really like that. | 17.52 | 3.113771 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820070.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820071 | [S1] I, I hope that remains. I hope the use of the telephone, uh, remains, that we don't just go back to, to texting all the time. Um, uh, I, I hope that the, that putting our phones away and having family dinner remains. [S2] Mm-hmm. [S1] Um, it's, it's the rem- I think there's a lot of kids | 18.16 | 3.157632 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820071.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820072 | [S1] ... that will actually come through this with stronger relationships with their siblings if they have them, and stronger relationship with, with their parents because they, they had so much time together. [S2] Mm-hmm. [S1] And kids who may have struggled prior because they weren't getting the kind of attention the... | 15.88 | 3.261586 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820072.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820073 | [S1] Here's an anonymous question. Um, I have a friend who is certainly, or who's currently struggling with depression, and it's just not like he used to be. I don't know what to say to him. He's actually annoyed by the question, "How are you doing?" [S2] Yeah. [S1] How can I offer my help? | 15.52 | 3.329943 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820073.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820074 | [S1] ... to see those around us rise. It's the responsibility to take care of those around us. That's what leadership is. It's not about being in charge, it's about taking care of those in our charge. Um, and any, the only thing title and authority allow you to do is lead with greater scale. Um, every single one of us ... | 26.8 | 3.207504 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p15_BV1Rr4y147Jv_p15_m4-dialogue_0820074.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p19_BV1Rr4y147Jv_p19_m4-dialogue_0583303 | [S1] You know, I'm gonna drive home the same point. It is that guilt is a warning sign. Sit with it, identify your values and standards that are being crossed when you feel guilt, identify if they are your values and standards or someone else's that you have internalized, and then try to sit with what's important to yo... | 28.32 | 3.222511 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p19_BV1Rr4y147Jv_p19_m4-dialogue_0583303.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p3_BV1Rr4y147Jv_p3_m4-dialogue_0044133 | [S1] Job is so intertwined with social media, and it's something I want to do less and less. So I'm navigating that kind of boundary for me all the time. So it's just, it's negotiating. Sometimes it's not as clear cut, you know? It's- [S2] Right. [S1] It may, for you, start as, "Take the weekends off," or, you know, I,... | 29.28 | 2.900977 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p3_BV1Rr4y147Jv_p3_m4-dialogue_0044133.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p54_BV1Rr4y147Jv_p54_m4-dialogue_0200001 | [S1] ... to be heard. And I think, uh, all of us, uh, I mean, we, we should be ashamed of ourselves that we have to have people who are then 16 or 15 not going to school- [S2] [LAUGHS] [S1] ... to get our attention. I mean, what the hell is the matter with adult leadership? That's not leadership at all. So I salute her... | 27.68 | 3.078912 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p54_BV1Rr4y147Jv_p54_m4-dialogue_0200001.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p82_BV1Rr4y147Jv_p82_m4-dialogue_0690875 | [S1] It's just so unfair. Um- [S2] It's unacceptable. [S1] Unacceptable. Unacceptable is the right word. Um, it also affects, um, the businesses, right? The farming, farming as a business, um, because there's so much technology being used. | 16.4 | 3.054713 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p82_BV1Rr4y147Jv_p82_m4-dialogue_0690875.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p82_BV1Rr4y147Jv_p82_m4-dialogue_0690876 | [S1] ... child, right? [S2] [LAUGHS] [S1] Right? And why is that? Because, you know, if you can't feel confident your child has the best education, has has access to a doctor, pretty hard to be focused on your business. | 13.8 | 3.247491 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p82_BV1Rr4y147Jv_p82_m4-dialogue_0690876.mp3 | [
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bilibili_data_511920595_BV1Rr4y147Jv_p82_BV1Rr4y147Jv_p82_m4-dialogue_0690877 | [S1] ... technology to address climate change. And the farmers can be in a position where they can, they can be part of the solution. [S2] Thanks for being here, Beth. [S1] You bet. | 10.64 | 3.196007 | 24,000 | audio/en/bilibili_data_511920595_BV1Rr4y147Jv_p82_BV1Rr4y147Jv_p82_m4-dialogue_0690877.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p11_BV15R4y1u7QQ_p11_m4-dialogue_0890902 | [S1] Um, I didn't see it until I turned 18. [S2] Mm-hmm. [S1] You have the, I call it the, the slip of paper meeting, where they kind of pretty much put a, like a number on a piece of paper and like slide it across the table, you know, and then boom, there you go. Like, yeah. So it was, I felt like a, some kid worked r... | 23.04 | 3.289597 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p11_BV15R4y1u7QQ_p11_m4-dialogue_0890902.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721674 | [S1] And I have to say, I came in late because I heard that it was violent and I was scared to watch it. And I was like, "I don't know if I can watch this show." And everybody kept raving about it. I was like, "I have to watch Game of Thrones 'cause I'll be the only one not watching it." So I binge watched. I watched t... | 29.88 | 3.209503 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721674.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721675 | [S1] It's really sad. I think, I think there's a huge part of me that still doesn't quite see that it is. It's just one of those things, you're sort of in it. But, um, so me and my, me and my brother used to watch a lot of The Simpsons growing up. [S2] Mm-hmm. [S1] Like, that's what we watched all the time. And I remem... | 29.04 | 3.385481 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721675.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721676 | [S1] It is. [S2] Your parents must be, I mean, this is huge. It's one thing to go into this business, but to, to be in such a, a phenomenon that, I mean, really, this is something that everyone talks about. How do your parents feel about this? [S1] Um, I think they're, I think they're very, I think they're happy and, a... | 20.12 | 3.062949 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721676.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721677 | [S1] It's, and it really is. I mean, like I said, it's, it's rare that you, you make it at all, much less to, to this degree. So, congratulate. And then- [S2] Yeah. No, he's very proud. [S1] You end up, of course he's proud. Is he a proud, you're, you're the sexiest woman alive. [S2] Well- [S1] Um, that must be, uh, wo... | 29.76 | 3.033749 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721677.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721678 | [S1] ... open supermarkets or something. [S2] Yeah. [S1] With that title. [S2] Well, no, it's pretty, it's pretty amazing though. [S1] Yeah. [S2] And the, and the beautiful shots inside. Did you have fun doing the shoot? [S1] Well, so this, so, okay, so doing, doing those kind of, you know, like sex scenes on camera is... | 29.88 | 3.007717 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721678.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721683 | [S1] Here's some example of other words that end with an S and remain the same in their singular and plural. Friends is the best TV series. These TV series that Netflix have recommended me are just the best. The internet is an increasingly important means of communication. In this video, I talk about many means of lear... | 26.44 | 2.932966 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721683.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721685 | [S1] ... to make it. In this sense, if you make it, that means you have had success doing something, particularly something difficult that involves a long process for solving or achieving. Example, being an actor is really hard. Most of them never make it, and only a few get to work in bigger movie productions. [S2] It... | 29.8 | 2.873231 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721685.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721687 | [S1] So the context in this part of the clip is that Amelia was elected by a magazine as the sexiest woman alive. And here Ellen goes on to ask her about her experience in the photo session for the magazine. [S2] Well, um, that must be, uh, wonderful for everyone in your life to know. [S1] Yeah, I know. [S2] If their f... | 22.64 | 2.874985 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721687.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721691 | [S1] And I have to say, I came in late because I heard that it was violent and I was scared to watch it. And I was like, "I don't know if I can watch this show." And everybody kept raving about it. I was like, "I have to watch Game of Thrones 'cause I'll be the only one not watching it." So I binge watched. I watched t... | 29.88 | 3.120871 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721691.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721692 | [S1] It's really sad. I think, I think there's a huge part of me that still doesn't quite see that it is. It's just one of those things, you're sort of in it. But, um, so me and my, me and my brother used to watch a lot of The Simpsons growing up. [S2] Mm-hmm. [S1] Like, that's what we watched all the time. And I remem... | 29.08 | 3.325547 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721692.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721693 | [S1] It is. [S2] Your parents must be, I mean, this is huge. It's one thing to go into this business, but to, to be in such a, a phenomenon that, I mean, really, this is something that everyone talks about. How do your parents feel about this? [S1] Um, I think they're, I think they're very, I think they're happy and, a... | 20 | 3.040844 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721693.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721694 | [S1] It's, and it really is. I mean, like I said, it's, it's rare that you, you make it at all, much less to, to this degree. So, congratulate. And then- [S2] Yeah. And he's very proud. [S1] You end up, of course he's proud. Is he a proud, you're, you're the sexiest woman alive. [S2] You are. [S1] Um, that must be, uh,... | 29.48 | 3.158007 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721694.mp3 | [
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bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721695 | [S1] ... open supermarkets or something. [S2] Yeah. [S1] With that title, you know what I mean? [S2] Well, no, it's pretty, it's pretty amazing, though. [S1] Yeah. [S2] And the, and the beautiful shots inside. Did you have fun doing the shoot? [S1] Well, so, this, so, okay, so doing, doing those kind of, you know, like... | 29.88 | 3.071545 | 24,000 | audio/en/bilibili_data_513465285_BV15R4y1u7QQ_p44_BV15R4y1u7QQ_p44_m4-dialogue_0721695.mp3 | [
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bilibili_data_513465285_BV1eM411M7Qx_p18_BV1eM411M7Qx_p18_m4-dialogue_0167918 | [S1] What time does he work until today? [S2] I have to work until 4.30 today. [S1] What time does he finish work tonight? [S2] Tonight, I finish working at half past nine. [S1] What time will they meet? | 28.68 | 3.225868 | 24,000 | audio/en/bilibili_data_513465285_BV1eM411M7Qx_p18_BV1eM411M7Qx_p18_m4-dialogue_0167918.mp3 | [
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