episode stringlengths 45 100 | text stringlengths 1 528 | timestamp_link stringlengths 56 56 |
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Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | What we proved is that if you have deep layers, | https://karpathy.ai/lexicap/0013-large.html#00:47:28.040 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | hierarchical architecture with the local connectivity | https://karpathy.ai/lexicap/0013-large.html#00:47:32.280 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | of the type of convolutional deep learning, | https://karpathy.ai/lexicap/0013-large.html#00:47:36.200 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | and if you're dealing with a function that | https://karpathy.ai/lexicap/0013-large.html#00:47:39.960 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | has this kind of hierarchical architecture, | https://karpathy.ai/lexicap/0013-large.html#00:47:42.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | then you avoid completely the curse. | https://karpathy.ai/lexicap/0013-large.html#00:47:46.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | You've spoken a lot about supervised deep learning. | https://karpathy.ai/lexicap/0013-large.html#00:47:50.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | What are your thoughts, hopes, views | https://karpathy.ai/lexicap/0013-large.html#00:47:54.520 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | on the challenges of unsupervised learning | https://karpathy.ai/lexicap/0013-large.html#00:47:56.480 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | with GANs, with Generative Adversarial Networks? | https://karpathy.ai/lexicap/0013-large.html#00:47:59.640 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Do you see those as distinct? | https://karpathy.ai/lexicap/0013-large.html#00:48:05.800 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | The power of GANs, do you see those | https://karpathy.ai/lexicap/0013-large.html#00:48:08.120 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | as distinct from supervised methods in neural networks, | https://karpathy.ai/lexicap/0013-large.html#00:48:09.920 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | or are they really all in the same representation ballpark? | https://karpathy.ai/lexicap/0013-large.html#00:48:13.120 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | GANs is one way to get estimation of probability | https://karpathy.ai/lexicap/0013-large.html#00:48:16.640 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | densities, which is a somewhat new way that people have not | https://karpathy.ai/lexicap/0013-large.html#00:48:24.040 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | done before. | https://karpathy.ai/lexicap/0013-large.html#00:48:28.760 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | I don't know whether this will really play an important role | https://karpathy.ai/lexicap/0013-large.html#00:48:30.360 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | in intelligence. | https://karpathy.ai/lexicap/0013-large.html#00:48:36.080 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Or it's interesting. | https://karpathy.ai/lexicap/0013-large.html#00:48:39.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | I'm less enthusiastic about it than many people in the field. | https://karpathy.ai/lexicap/0013-large.html#00:48:43.080 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | I have the feeling that many people in the field | https://karpathy.ai/lexicap/0013-large.html#00:48:48.600 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | are really impressed by the ability | https://karpathy.ai/lexicap/0013-large.html#00:48:50.880 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | of producing realistic looking images in this generative way. | https://karpathy.ai/lexicap/0013-large.html#00:48:54.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Which describes the popularity of the methods. | https://karpathy.ai/lexicap/0013-large.html#00:49:01.160 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | But you're saying that while that's exciting and cool | https://karpathy.ai/lexicap/0013-large.html#00:49:03.080 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | to look at, it may not be the tool that's useful for it. | https://karpathy.ai/lexicap/0013-large.html#00:49:06.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | So you describe it kind of beautifully. | https://karpathy.ai/lexicap/0013-large.html#00:49:11.200 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Current supervised methods go n to infinity | https://karpathy.ai/lexicap/0013-large.html#00:49:13.560 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | in terms of number of labeled points. | https://karpathy.ai/lexicap/0013-large.html#00:49:16.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And we really have to figure out how to go to n to 1. | https://karpathy.ai/lexicap/0013-large.html#00:49:18.200 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And you're thinking GANs might help, | https://karpathy.ai/lexicap/0013-large.html#00:49:21.360 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | but they might not be the right. | https://karpathy.ai/lexicap/0013-large.html#00:49:23.200 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | I don't think for that problem, which I really think | https://karpathy.ai/lexicap/0013-large.html#00:49:25.080 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | is important, I think they may help. | https://karpathy.ai/lexicap/0013-large.html#00:49:28.480 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | They certainly have applications, | https://karpathy.ai/lexicap/0013-large.html#00:49:32.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | for instance, in computer graphics. | https://karpathy.ai/lexicap/0013-large.html#00:49:33.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And I did work long ago, which was | https://karpathy.ai/lexicap/0013-large.html#00:49:35.760 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | a little bit similar in terms of saying, OK, I have a network. | https://karpathy.ai/lexicap/0013-large.html#00:49:41.560 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And I present images. | https://karpathy.ai/lexicap/0013-large.html#00:49:47.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And I can input its images. | https://karpathy.ai/lexicap/0013-large.html#00:49:49.760 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And output is, for instance, the pose of the image. | https://karpathy.ai/lexicap/0013-large.html#00:49:54.040 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | A face, how much is smiling, is rotated 45 degrees or not. | https://karpathy.ai/lexicap/0013-large.html#00:49:57.520 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | What about having a network that I train with the same data | https://karpathy.ai/lexicap/0013-large.html#00:50:02.960 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | set, but now I invert input and output. | https://karpathy.ai/lexicap/0013-large.html#00:50:07.440 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Now the input is the pose or the expression, a number, | https://karpathy.ai/lexicap/0013-large.html#00:50:10.600 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | set of numbers. | https://karpathy.ai/lexicap/0013-large.html#00:50:15.920 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And the output is the image. | https://karpathy.ai/lexicap/0013-large.html#00:50:16.920 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And I train it. | https://karpathy.ai/lexicap/0013-large.html#00:50:18.280 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And we did pretty good, interesting results | https://karpathy.ai/lexicap/0013-large.html#00:50:20.240 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | in terms of producing very realistic looking images. | https://karpathy.ai/lexicap/0013-large.html#00:50:22.520 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | It was a less sophisticated mechanism. | https://karpathy.ai/lexicap/0013-large.html#00:50:27.840 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | But the output was pretty less than GANs. | https://karpathy.ai/lexicap/0013-large.html#00:50:31.920 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | But the output was pretty much of the same quality. | https://karpathy.ai/lexicap/0013-large.html#00:50:35.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | So I think for a computer graphics type application, | https://karpathy.ai/lexicap/0013-large.html#00:50:38.960 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | yeah, definitely GANs can be quite useful. | https://karpathy.ai/lexicap/0013-large.html#00:50:43.400 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And not only for that, but for helping, | https://karpathy.ai/lexicap/0013-large.html#00:50:46.240 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | for instance, on this problem of unsupervised example | https://karpathy.ai/lexicap/0013-large.html#00:50:52.880 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | of reducing the number of labeled examples. | https://karpathy.ai/lexicap/0013-large.html#00:50:58.200 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | I think people, it's like they think they can get out | https://karpathy.ai/lexicap/0013-large.html#00:51:02.400 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | more than they put in. | https://karpathy.ai/lexicap/0013-large.html#00:51:07.920 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | There's no free lunch, as you said. | https://karpathy.ai/lexicap/0013-large.html#00:51:11.080 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | What do you think, what's your intuition? | https://karpathy.ai/lexicap/0013-large.html#00:51:14.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | How can we slow the growth of N to infinity in supervised, | https://karpathy.ai/lexicap/0013-large.html#00:51:17.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | N to infinity in supervised learning? | https://karpathy.ai/lexicap/0013-large.html#00:51:22.720 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | So for example, Mobileye has very successfully, | https://karpathy.ai/lexicap/0013-large.html#00:51:25.080 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | I mean, essentially annotated large amounts of data | https://karpathy.ai/lexicap/0013-large.html#00:51:29.880 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | to be able to drive a car. | https://karpathy.ai/lexicap/0013-large.html#00:51:33.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Now one thought is, so we're trying | https://karpathy.ai/lexicap/0013-large.html#00:51:34.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | to teach machines, school of AI. | https://karpathy.ai/lexicap/0013-large.html#00:51:37.440 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And we're trying to, so how can we become better teachers, | https://karpathy.ai/lexicap/0013-large.html#00:51:41.000 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | maybe? | https://karpathy.ai/lexicap/0013-large.html#00:51:45.560 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | That's one way. | https://karpathy.ai/lexicap/0013-large.html#00:51:46.040 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | No, I like that. | https://karpathy.ai/lexicap/0013-large.html#00:51:47.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Because again, one caricature of the history of computer | https://karpathy.ai/lexicap/0013-large.html#00:51:51.240 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | science, you could say, begins with programmers, expensive. | https://karpathy.ai/lexicap/0013-large.html#00:51:57.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Continuous labelers, cheap. | https://karpathy.ai/lexicap/0013-large.html#00:52:05.360 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And the future will be schools, like we have for kids. | https://karpathy.ai/lexicap/0013-large.html#00:52:09.640 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Yeah. | https://karpathy.ai/lexicap/0013-large.html#00:52:14.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Currently, the labeling methods were not | https://karpathy.ai/lexicap/0013-large.html#00:52:16.360 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | selective about which examples we teach networks with. | https://karpathy.ai/lexicap/0013-large.html#00:52:20.280 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | So I think the focus of making networks that learn much faster | https://karpathy.ai/lexicap/0013-large.html#00:52:25.880 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | is often on the architecture side. | https://karpathy.ai/lexicap/0013-large.html#00:52:31.320 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | But how can we pick better examples with which to learn? | https://karpathy.ai/lexicap/0013-large.html#00:52:33.680 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Do you have intuitions about that? | https://karpathy.ai/lexicap/0013-large.html#00:52:37.960 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | Well, that's part of the problem. | https://karpathy.ai/lexicap/0013-large.html#00:52:39.440 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | But the other one is, if we look at biology, | https://karpathy.ai/lexicap/0013-large.html#00:52:42.480 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | a reasonable assumption, I think, | https://karpathy.ai/lexicap/0013-large.html#00:52:50.360 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | is in the same spirit that I said, | https://karpathy.ai/lexicap/0013-large.html#00:52:52.960 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | evolution is opportunistic and has weak priors. | https://karpathy.ai/lexicap/0013-large.html#00:52:58.120 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | The way I think the intelligence of a child, | https://karpathy.ai/lexicap/0013-large.html#00:53:03.400 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | the baby may develop is by bootstrapping weak priors | https://karpathy.ai/lexicap/0013-large.html#00:53:08.280 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | from evolution. | https://karpathy.ai/lexicap/0013-large.html#00:53:16.240 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | For instance, you can assume that you | https://karpathy.ai/lexicap/0013-large.html#00:53:17.400 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | have in most organisms, including human babies, | https://karpathy.ai/lexicap/0013-large.html#00:53:24.720 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | built in some basic machinery to detect motion | https://karpathy.ai/lexicap/0013-large.html#00:53:28.960 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | and relative motion. | https://karpathy.ai/lexicap/0013-large.html#00:53:35.400 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | And in fact, we know all insects from fruit flies | https://karpathy.ai/lexicap/0013-large.html#00:53:38.200 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | to other animals, they have this, | https://karpathy.ai/lexicap/0013-large.html#00:53:42.920 |
Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13 | even in the retinas, in the very peripheral part. | https://karpathy.ai/lexicap/0013-large.html#00:53:49.760 |
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