episode stringlengths 45 100 | text stringlengths 1 528 | timestamp_link stringlengths 56 56 |
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Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | about existential threat of artificial intelligence. You've seen this community | https://karpathy.ai/lexicap/0004-large.html#00:21:32.800 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | develop over time. You've seen you have a perspective. So what do you think is the best | https://karpathy.ai/lexicap/0004-large.html#00:21:37.600 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | way to talk about AI safety, to think about it, to have discourse about it within AI community | https://karpathy.ai/lexicap/0004-large.html#00:21:42.160 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and outside and grounded in the fact that Ex Machina is one of the main sources of information | https://karpathy.ai/lexicap/0004-large.html#00:21:48.320 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | for the general public about AI? | https://karpathy.ai/lexicap/0004-large.html#00:21:54.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So I think you're putting it right. There's a big difference between the sort of discussion | https://karpathy.ai/lexicap/0004-large.html#00:21:56.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | we ought to have within the AI community and the sort of discussion that really matter | https://karpathy.ai/lexicap/0004-large.html#00:22:02.240 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | in the general public. So I think the picture of Terminator and AI loose and killing people | https://karpathy.ai/lexicap/0004-large.html#00:22:07.600 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and super intelligence that's going to destroy us, whatever we try, isn't really so useful | https://karpathy.ai/lexicap/0004-large.html#00:22:17.120 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | for the public discussion. Because for the public discussion, the things I believe really | https://karpathy.ai/lexicap/0004-large.html#00:22:24.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | matter are the short term and medium term, very likely negative impacts of AI on society, | https://karpathy.ai/lexicap/0004-large.html#00:22:30.000 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | whether it's from security, like, you know, big brother scenarios with face recognition | https://karpathy.ai/lexicap/0004-large.html#00:22:37.200 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | or killer robots, or the impact on the job market, or concentration of power and discrimination, | https://karpathy.ai/lexicap/0004-large.html#00:22:43.280 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | all kinds of social issues, which could actually, some of them could really threaten democracy, | https://karpathy.ai/lexicap/0004-large.html#00:22:50.000 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | for example. | https://karpathy.ai/lexicap/0004-large.html#00:22:57.760 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | Just to clarify, when you said killer robots, you mean autonomous weapon, weapon systems. | https://karpathy.ai/lexicap/0004-large.html#00:22:58.800 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | Yes, I don't mean that's right. | https://karpathy.ai/lexicap/0004-large.html#00:23:04.000 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So I think these short and medium term concerns should be important parts of the public debate. | https://karpathy.ai/lexicap/0004-large.html#00:23:06.320 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | Now, existential risk, for me is a very unlikely consideration, but still worth academic investigation | https://karpathy.ai/lexicap/0004-large.html#00:23:13.040 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | in the same way that you could say, should we study what could happen if meteorite, you | https://karpathy.ai/lexicap/0004-large.html#00:23:24.640 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | know, came to earth and destroyed it. So I think it's very unlikely that this is going | https://karpathy.ai/lexicap/0004-large.html#00:23:30.080 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | to happen in or happen in a reasonable future. The sort of scenario of an AI getting loose | https://karpathy.ai/lexicap/0004-large.html#00:23:33.920 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | goes against my understanding of at least current machine learning and current neural | https://karpathy.ai/lexicap/0004-large.html#00:23:43.040 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | nets and so on. It's not plausible to me. But of course, I don't have a crystal ball | https://karpathy.ai/lexicap/0004-large.html#00:23:46.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and who knows what AI will be in 50 years from now. So I think it is worth that scientists | https://karpathy.ai/lexicap/0004-large.html#00:23:51.120 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | study those problems. It's just not a pressing question as far as I'm concerned. | https://karpathy.ai/lexicap/0004-large.html#00:23:55.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So before I continue down that line, I have a few questions there. But what do you like | https://karpathy.ai/lexicap/0004-large.html#00:23:59.680 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and not like about Ex Machina as a movie? Because I actually watched it for the second | https://karpathy.ai/lexicap/0004-large.html#00:24:05.840 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | time and enjoyed it. I hated it the first time, and I enjoyed it quite a bit more the | https://karpathy.ai/lexicap/0004-large.html#00:24:09.840 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | second time when I sort of learned to accept certain pieces of it, see it as a concept | https://karpathy.ai/lexicap/0004-large.html#00:24:15.600 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | movie. What was your experience? What were your thoughts? | https://karpathy.ai/lexicap/0004-large.html#00:24:23.440 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So the negative is the picture it paints of science is totally wrong. Science in general | https://karpathy.ai/lexicap/0004-large.html#00:24:26.320 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and AI in particular. Science is not happening in some hidden place by some, you know, really | https://karpathy.ai/lexicap/0004-large.html#00:24:36.080 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | smart guy, one person. This is totally unrealistic. This is not how it happens. Even a team of | https://karpathy.ai/lexicap/0004-large.html#00:24:44.160 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | people in some isolated place will not make it. Science moves by small steps, thanks to | https://karpathy.ai/lexicap/0004-large.html#00:24:52.160 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | the collaboration and community of a large number of people interacting. And all the | https://karpathy.ai/lexicap/0004-large.html#00:24:59.840 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | scientists who are expert in their field kind of know what is going on, even in the industrial | https://karpathy.ai/lexicap/0004-large.html#00:25:10.480 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | labs. It's information flows and leaks and so on. And the spirit of it is very different | https://karpathy.ai/lexicap/0004-large.html#00:25:14.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | from the way science is painted in this movie. | https://karpathy.ai/lexicap/0004-large.html#00:25:21.920 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | Yeah, let me ask on that point. It's been the case to this point that kind of even if | https://karpathy.ai/lexicap/0004-large.html#00:25:25.600 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | the research happens inside Google or Facebook, inside companies, it still kind of comes out, | https://karpathy.ai/lexicap/0004-large.html#00:25:32.400 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | ideas come out. Do you think that will always be the case with AI? Is it possible to bottle | https://karpathy.ai/lexicap/0004-large.html#00:25:36.800 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | ideas to the point where there's a set of breakthroughs that go completely undiscovered | https://karpathy.ai/lexicap/0004-large.html#00:25:41.680 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | by the general research community? Do you think that's even possible? | https://karpathy.ai/lexicap/0004-large.html#00:25:47.360 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | It's possible, but it's unlikely. It's not how it is done now. It's not how I can foresee | https://karpathy.ai/lexicap/0004-large.html#00:25:52.240 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | it in the foreseeable future. But of course, I don't have a crystal ball and science is | https://karpathy.ai/lexicap/0004-large.html#00:25:59.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | a crystal ball. And so who knows? This is science fiction after all. | https://karpathy.ai/lexicap/0004-large.html#00:26:09.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | I think it's ominous that the lights went off during that discussion. | https://karpathy.ai/lexicap/0004-large.html#00:26:14.960 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So the problem, again, there's one thing is the movie and you could imagine all kinds | https://karpathy.ai/lexicap/0004-large.html#00:26:21.440 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | of science fiction. The problem for me, maybe similar to the question about existential | https://karpathy.ai/lexicap/0004-large.html#00:26:25.320 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | risk, is that this kind of movie paints such a wrong picture of what is the actual science | https://karpathy.ai/lexicap/0004-large.html#00:26:30.320 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and how it's going on that it can have unfortunate effects on people's understanding of current | https://karpathy.ai/lexicap/0004-large.html#00:26:39.440 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | science. And so that's kind of sad. | https://karpathy.ai/lexicap/0004-large.html#00:26:45.640 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | There's an important principle in research, which is diversity. So in other words, research | https://karpathy.ai/lexicap/0004-large.html#00:26:50.800 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | is exploration. Research is exploration in the space of ideas. And different people will | https://karpathy.ai/lexicap/0004-large.html#00:26:58.440 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | focus on different directions. And this is not just good, it's essential. So I'm totally | https://karpathy.ai/lexicap/0004-large.html#00:27:03.720 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | fine with people exploring directions that are contrary to mine or look orthogonal to | https://karpathy.ai/lexicap/0004-large.html#00:27:09.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | mine. I am more than fine. I think it's important. I and my friends don't claim we have universal | https://karpathy.ai/lexicap/0004-large.html#00:27:16.440 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | truth about what will, especially about what will happen in the future. Now that being | https://karpathy.ai/lexicap/0004-large.html#00:27:24.920 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | said, we have our intuitions and then we act accordingly according to where we think we | https://karpathy.ai/lexicap/0004-large.html#00:27:29.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | can be most useful and where society has the most to gain or to lose. We should have those | https://karpathy.ai/lexicap/0004-large.html#00:27:36.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | debates and not end up in a society where there's only one voice and one way of thinking | https://karpathy.ai/lexicap/0004-large.html#00:27:42.480 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and research money is spread out. | https://karpathy.ai/lexicap/0004-large.html#00:27:49.800 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So disagreement is a sign of good research, good science. | https://karpathy.ai/lexicap/0004-large.html#00:27:53.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | Yes. | https://karpathy.ai/lexicap/0004-large.html#00:27:59.040 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | The idea of bias in the human sense of bias. How do you think about instilling in machine | https://karpathy.ai/lexicap/0004-large.html#00:28:00.040 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | learning something that's aligned with human values in terms of bias? We intuitively as | https://karpathy.ai/lexicap/0004-large.html#00:28:08.600 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | human beings have a concept of what bias means, of what fundamental respect for other human | https://karpathy.ai/lexicap/0004-large.html#00:28:15.240 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | beings means. But how do we instill that into machine learning systems, do you think? | https://karpathy.ai/lexicap/0004-large.html#00:28:21.160 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So I think there are short term things that are already happening and then there are long | https://karpathy.ai/lexicap/0004-large.html#00:28:26.760 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | term things that we need to do. In the short term, there are techniques that have been | https://karpathy.ai/lexicap/0004-large.html#00:28:32.360 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | proposed and I think will continue to be improved and maybe alternatives will come up to take | https://karpathy.ai/lexicap/0004-large.html#00:28:38.360 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | data sets in which we know there is bias, we can measure it. Pretty much any data set | https://karpathy.ai/lexicap/0004-large.html#00:28:44.200 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | where humans are being observed taking decisions will have some sort of bias, discrimination | https://karpathy.ai/lexicap/0004-large.html#00:28:50.120 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | against particular groups and so on. | https://karpathy.ai/lexicap/0004-large.html#00:28:55.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | And we can use machine learning techniques to try to build predictors, classifiers that | https://karpathy.ai/lexicap/0004-large.html#00:28:59.000 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | are going to be less biased. We can do it, for example, using adversarial methods to | https://karpathy.ai/lexicap/0004-large.html#00:29:04.240 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | make our systems less sensitive to these variables we should not be sensitive to. | https://karpathy.ai/lexicap/0004-large.html#00:29:11.600 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So these are clear, well defined ways of trying to address the problem. Maybe they have weaknesses | https://karpathy.ai/lexicap/0004-large.html#00:29:18.360 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | and more research is needed and so on. But I think in fact they are sufficiently mature | https://karpathy.ai/lexicap/0004-large.html#00:29:23.520 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | that governments should start regulating companies where it matters, say like insurance companies, | https://karpathy.ai/lexicap/0004-large.html#00:29:28.840 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | so that they use those techniques. Because those techniques will probably reduce the | https://karpathy.ai/lexicap/0004-large.html#00:29:35.240 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | bias but at a cost. For example, maybe their predictions will be less accurate and so companies | https://karpathy.ai/lexicap/0004-large.html#00:29:40.480 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | will not do it until you force them. | https://karpathy.ai/lexicap/0004-large.html#00:29:46.440 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | All right, so this is short term. Long term, I'm really interested in thinking how we can | https://karpathy.ai/lexicap/0004-large.html#00:29:48.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | instill moral values into computers. Obviously, this is not something we'll achieve in the | https://karpathy.ai/lexicap/0004-large.html#00:29:56.040 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | next five or 10 years. How can we, you know, there's already work in detecting emotions, | https://karpathy.ai/lexicap/0004-large.html#00:30:01.560 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | for example, in images, in sounds, in texts, and also studying how different agents interacting | https://karpathy.ai/lexicap/0004-large.html#00:30:08.120 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | in different ways may correspond to patterns of, say, injustice, which could trigger anger. | https://karpathy.ai/lexicap/0004-large.html#00:30:19.880 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | So these are things we can do in the medium term and eventually train computers to model, | https://karpathy.ai/lexicap/0004-large.html#00:30:28.200 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | for example, how humans react emotionally. I would say the simplest thing is unfair situations | https://karpathy.ai/lexicap/0004-large.html#00:30:37.840 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | which trigger anger. This is one of the most basic emotions that we share with other animals. | https://karpathy.ai/lexicap/0004-large.html#00:30:46.960 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | I think it's quite feasible within the next few years that we can build systems that can | https://karpathy.ai/lexicap/0004-large.html#00:30:52.680 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | detect these kinds of things to the extent, unfortunately, that they understand enough | https://karpathy.ai/lexicap/0004-large.html#00:30:57.160 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | about the world around us, which is a long time away. But maybe we can initially do this | https://karpathy.ai/lexicap/0004-large.html#00:31:01.980 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | in virtual environments. So you can imagine a video game where agents interact in some | https://karpathy.ai/lexicap/0004-large.html#00:31:08.240 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | ways and then some situations trigger an emotion. I think we could train machines to detect | https://karpathy.ai/lexicap/0004-large.html#00:31:14.840 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | those situations and predict that the particular emotion will likely be felt if a human was | https://karpathy.ai/lexicap/0004-large.html#00:31:21.640 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | playing one of the characters. | https://karpathy.ai/lexicap/0004-large.html#00:31:27.400 |
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4 | You have shown excitement and done a lot of excellent work with unsupervised learning. | https://karpathy.ai/lexicap/0004-large.html#00:31:29.460 |
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