episode stringlengths 45 100 | text stringlengths 1 528 | timestamp_link stringlengths 56 56 |
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Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | at least all the solvable problems. | https://karpathy.ai/lexicap/0011-large.html#00:02:22.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So how do you think, what is the mechanism | https://karpathy.ai/lexicap/0011-large.html#00:02:26.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | for that kind of general solver look like? | https://karpathy.ai/lexicap/0011-large.html#00:02:28.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Obviously we don't quite yet have one | https://karpathy.ai/lexicap/0011-large.html#00:02:31.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | or know how to build one but we have ideas | https://karpathy.ai/lexicap/0011-large.html#00:02:34.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and you have had throughout your career | https://karpathy.ai/lexicap/0011-large.html#00:02:37.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | several ideas about it. | https://karpathy.ai/lexicap/0011-large.html#00:02:39.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So how do you think about that mechanism? | https://karpathy.ai/lexicap/0011-large.html#00:02:40.800 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So in the 80s, I thought about how to build this machine | https://karpathy.ai/lexicap/0011-large.html#00:02:43.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that learns to solve all these problems | https://karpathy.ai/lexicap/0011-large.html#00:02:48.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that I cannot solve myself. | https://karpathy.ai/lexicap/0011-large.html#00:02:51.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And I thought it is clear it has to be a machine | https://karpathy.ai/lexicap/0011-large.html#00:02:54.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that not only learns to solve this problem here | https://karpathy.ai/lexicap/0011-large.html#00:02:57.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and this problem here but it also has to learn | https://karpathy.ai/lexicap/0011-large.html#00:03:00.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to improve the learning algorithm itself. | https://karpathy.ai/lexicap/0011-large.html#00:03:04.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So it has to have the learning algorithm | https://karpathy.ai/lexicap/0011-large.html#00:03:09.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in a representation that allows it to inspect it | https://karpathy.ai/lexicap/0011-large.html#00:03:12.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and modify it such that it can come up | https://karpathy.ai/lexicap/0011-large.html#00:03:15.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | with a better learning algorithm. | https://karpathy.ai/lexicap/0011-large.html#00:03:19.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So I call that meta learning, learning to learn | https://karpathy.ai/lexicap/0011-large.html#00:03:21.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and recursive self improvement | https://karpathy.ai/lexicap/0011-large.html#00:03:24.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that is really the pinnacle of that | https://karpathy.ai/lexicap/0011-large.html#00:03:26.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | where you then not only learn how to improve | https://karpathy.ai/lexicap/0011-large.html#00:03:28.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | on that problem and on that | https://karpathy.ai/lexicap/0011-large.html#00:03:34.800 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | but you also improve the way the machine improves | https://karpathy.ai/lexicap/0011-large.html#00:03:36.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and you also improve the way it improves | https://karpathy.ai/lexicap/0011-large.html#00:03:40.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the way it improves itself. | https://karpathy.ai/lexicap/0011-large.html#00:03:42.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And that was my 1987 diploma thesis | https://karpathy.ai/lexicap/0011-large.html#00:03:44.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which was all about that higher education | https://karpathy.ai/lexicap/0011-large.html#00:03:47.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | hierarchy of meta learners that have no computational limits | https://karpathy.ai/lexicap/0011-large.html#00:03:50.920 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | except for the well known limits that Gödel identified | https://karpathy.ai/lexicap/0011-large.html#00:03:57.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in 1931 and for the limits of physics. | https://karpathy.ai/lexicap/0011-large.html#00:04:01.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | In the recent years, meta learning has gained popularity | https://karpathy.ai/lexicap/0011-large.html#00:04:06.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in a specific kind of form. | https://karpathy.ai/lexicap/0011-large.html#00:04:10.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | You've talked about how that's not really meta learning | https://karpathy.ai/lexicap/0011-large.html#00:04:12.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | with neural networks, that's more basic transfer learning. | https://karpathy.ai/lexicap/0011-large.html#00:04:16.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Can you talk about the difference | https://karpathy.ai/lexicap/0011-large.html#00:04:21.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | between the big general meta learning | https://karpathy.ai/lexicap/0011-large.html#00:04:22.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and a more narrow sense of meta learning | https://karpathy.ai/lexicap/0011-large.html#00:04:25.460 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the way it's used today, the way it's talked about today? | https://karpathy.ai/lexicap/0011-large.html#00:04:27.960 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Let's take the example of a deep neural network | https://karpathy.ai/lexicap/0011-large.html#00:04:30.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that has learned to classify images | https://karpathy.ai/lexicap/0011-large.html#00:04:33.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and maybe you have trained that network | https://karpathy.ai/lexicap/0011-large.html#00:04:37.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | on 100 different databases of images. | https://karpathy.ai/lexicap/0011-large.html#00:04:40.060 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And now a new database comes along | https://karpathy.ai/lexicap/0011-large.html#00:04:43.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and you want to quickly learn the new thing as well. | https://karpathy.ai/lexicap/0011-large.html#00:04:48.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So one simple way of doing that is you take the network | https://karpathy.ai/lexicap/0011-large.html#00:04:53.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which already knows 100 types of databases | https://karpathy.ai/lexicap/0011-large.html#00:04:57.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and then you just take the top layer of that | https://karpathy.ai/lexicap/0011-large.html#00:05:02.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and you retrain that using the new label data | https://karpathy.ai/lexicap/0011-large.html#00:05:06.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that you have in the new image database. | https://karpathy.ai/lexicap/0011-large.html#00:05:11.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And then it turns out that it really, really quickly | https://karpathy.ai/lexicap/0011-large.html#00:05:14.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | can learn that too, one shot basically | https://karpathy.ai/lexicap/0011-large.html#00:05:17.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | because from the first 100 data sets, | https://karpathy.ai/lexicap/0011-large.html#00:05:20.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | it already has learned so much about computer vision | https://karpathy.ai/lexicap/0011-large.html#00:05:24.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that it can reuse that and that is then almost good enough | https://karpathy.ai/lexicap/0011-large.html#00:05:27.560 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to solve the new task except you need a little bit | https://karpathy.ai/lexicap/0011-large.html#00:05:31.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of adjustment on the top. | https://karpathy.ai/lexicap/0011-large.html#00:05:34.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So that is transfer learning. | https://karpathy.ai/lexicap/0011-large.html#00:05:38.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And it has been done in principle for many decades. | https://karpathy.ai/lexicap/0011-large.html#00:05:41.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | People have done similar things for decades. | https://karpathy.ai/lexicap/0011-large.html#00:05:44.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Meta learning too, meta learning is about | https://karpathy.ai/lexicap/0011-large.html#00:05:48.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | having the learning algorithm itself | https://karpathy.ai/lexicap/0011-large.html#00:05:51.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | open to introspection by the system that is using it | https://karpathy.ai/lexicap/0011-large.html#00:05:55.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and also open to modification such that the learning system | https://karpathy.ai/lexicap/0011-large.html#00:06:01.560 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | has an opportunity to modify | https://karpathy.ai/lexicap/0011-large.html#00:06:06.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | any part of the learning algorithm | https://karpathy.ai/lexicap/0011-large.html#00:06:09.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and then evaluate the consequences of that modification | https://karpathy.ai/lexicap/0011-large.html#00:06:12.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and then learn from that to create | https://karpathy.ai/lexicap/0011-large.html#00:06:16.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | a better learning algorithm and so on recursively. | https://karpathy.ai/lexicap/0011-large.html#00:06:21.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So that's a very different animal | https://karpathy.ai/lexicap/0011-large.html#00:06:25.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | where you are opening the space of possible learning | https://karpathy.ai/lexicap/0011-large.html#00:06:28.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | algorithms to the learning system itself. | https://karpathy.ai/lexicap/0011-large.html#00:06:32.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Right, so you've, like in the 2004 paper, you described | https://karpathy.ai/lexicap/0011-large.html#00:06:35.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | gator machines, programs that rewrite themselves, right? | https://karpathy.ai/lexicap/0011-large.html#00:06:40.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Philosophically and even in your paper, mathematically, | https://karpathy.ai/lexicap/0011-large.html#00:06:44.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | these are really compelling ideas but practically, | https://karpathy.ai/lexicap/0011-large.html#00:06:47.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | do you see these self referential programs | https://karpathy.ai/lexicap/0011-large.html#00:06:52.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | being successful in the near term to having an impact | https://karpathy.ai/lexicap/0011-large.html#00:06:55.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | where sort of it demonstrates to the world | https://karpathy.ai/lexicap/0011-large.html#00:06:59.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that this direction is a good one to pursue | https://karpathy.ai/lexicap/0011-large.html#00:07:02.960 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in the near term? | https://karpathy.ai/lexicap/0011-large.html#00:07:07.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Yes, we had these two different types | https://karpathy.ai/lexicap/0011-large.html#00:07:08.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of fundamental research, | https://karpathy.ai/lexicap/0011-large.html#00:07:11.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | how to build a universal problem solver, | https://karpathy.ai/lexicap/0011-large.html#00:07:13.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | one basically exploiting proof search | https://karpathy.ai/lexicap/0011-large.html#00:07:15.800 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and things like that that you need to come up with | https://karpathy.ai/lexicap/0011-large.html#00:07:22.960 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | asymptotically optimal, theoretically optimal | https://karpathy.ai/lexicap/0011-large.html#00:07:25.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | self improvers and problem solvers. | https://karpathy.ai/lexicap/0011-large.html#00:07:30.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | However, one has to admit that through this proof search | https://karpathy.ai/lexicap/0011-large.html#00:07:34.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | comes in an additive constant, an overhead, | https://karpathy.ai/lexicap/0011-large.html#00:07:40.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | an additive overhead that vanishes in comparison | https://karpathy.ai/lexicap/0011-large.html#00:07:44.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to what you have to do to solve large problems. | https://karpathy.ai/lexicap/0011-large.html#00:07:50.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | However, for many of the small problems | https://karpathy.ai/lexicap/0011-large.html#00:07:55.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that we want to solve in our everyday life, | https://karpathy.ai/lexicap/0011-large.html#00:07:58.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | we cannot ignore this constant overhead | https://karpathy.ai/lexicap/0011-large.html#00:08:00.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and that's why we also have been doing other things, | https://karpathy.ai/lexicap/0011-large.html#00:08:03.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | non universal things such as recurrent neural networks | https://karpathy.ai/lexicap/0011-large.html#00:08:08.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which are trained by gradient descent | https://karpathy.ai/lexicap/0011-large.html#00:08:12.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and local search techniques which aren't universal at all, | https://karpathy.ai/lexicap/0011-large.html#00:08:15.400 |
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