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 | which aren't provably optimal at all, | https://karpathy.ai/lexicap/0011-large.html#00:08:18.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | like the other stuff that we did, | https://karpathy.ai/lexicap/0011-large.html#00:08:21.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | but which are much more practical | https://karpathy.ai/lexicap/0011-large.html#00:08:22.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | as long as we only want to solve the small problems | https://karpathy.ai/lexicap/0011-large.html#00:08:25.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that we are typically trying to solve | https://karpathy.ai/lexicap/0011-large.html#00:08:28.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in this environment here. | https://karpathy.ai/lexicap/0011-large.html#00:08:33.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So the universal problem solvers like the Gödel machine, | https://karpathy.ai/lexicap/0011-large.html#00:08:35.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | but also Markus Hutter's fastest way | https://karpathy.ai/lexicap/0011-large.html#00:08:38.920 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of solving all possible problems, | https://karpathy.ai/lexicap/0011-large.html#00:08:42.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which he developed around 2002 in my lab, | https://karpathy.ai/lexicap/0011-large.html#00:08:44.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | they are associated with these constant overheads | https://karpathy.ai/lexicap/0011-large.html#00:08:49.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | for proof search, which guarantees that the thing | https://karpathy.ai/lexicap/0011-large.html#00:08:52.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that you're doing is optimal. | https://karpathy.ai/lexicap/0011-large.html#00:08:55.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | For example, there is this fastest way | https://karpathy.ai/lexicap/0011-large.html#00:08:57.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of solving all problems with a computable solution, | https://karpathy.ai/lexicap/0011-large.html#00:09:01.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which is due to Markus, Markus Hutter, | https://karpathy.ai/lexicap/0011-large.html#00:09:05.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and to explain what's going on there, | https://karpathy.ai/lexicap/0011-large.html#00:09:08.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | let's take traveling salesman problems. | https://karpathy.ai/lexicap/0011-large.html#00:09:12.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | With traveling salesman problems, | https://karpathy.ai/lexicap/0011-large.html#00:09:15.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | you have a number of cities and cities | https://karpathy.ai/lexicap/0011-large.html#00:09:17.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and you try to find the shortest path | https://karpathy.ai/lexicap/0011-large.html#00:09:21.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | through all these cities without visiting any city twice. | https://karpathy.ai/lexicap/0011-large.html#00:09:23.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And nobody knows the fastest way | https://karpathy.ai/lexicap/0011-large.html#00:09:29.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of solving traveling salesman problems, TSPs, | https://karpathy.ai/lexicap/0011-large.html#00:09:32.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | but let's assume there is a method of solving them | https://karpathy.ai/lexicap/0011-large.html#00:09:38.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | within N to the five operations | https://karpathy.ai/lexicap/0011-large.html#00:09:41.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | where N is the number of cities. | https://karpathy.ai/lexicap/0011-large.html#00:09:45.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Then the universal method of Markus | https://karpathy.ai/lexicap/0011-large.html#00:09:48.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | is going to solve the same traveling salesman problem | https://karpathy.ai/lexicap/0011-large.html#00:09:53.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | also within N to the five steps, | https://karpathy.ai/lexicap/0011-large.html#00:09:57.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | plus O of one, plus a constant number of steps | https://karpathy.ai/lexicap/0011-large.html#00:10:00.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that you need for the proof searcher, | https://karpathy.ai/lexicap/0011-large.html#00:10:04.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which you need to show that this particular class | https://karpathy.ai/lexicap/0011-large.html#00:10:07.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | of problems, the traveling salesman problems, | https://karpathy.ai/lexicap/0011-large.html#00:10:12.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | can be solved within a certain time frame, | https://karpathy.ai/lexicap/0011-large.html#00:10:15.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | solved within a certain time bound, | https://karpathy.ai/lexicap/0011-large.html#00:10:17.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | within order N to the five steps, basically, | https://karpathy.ai/lexicap/0011-large.html#00:10:20.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and this additive constant doesn't care for N, | https://karpathy.ai/lexicap/0011-large.html#00:10:24.560 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which means as N is getting larger and larger, | https://karpathy.ai/lexicap/0011-large.html#00:10:28.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | as you have more and more cities, | https://karpathy.ai/lexicap/0011-large.html#00:10:32.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the constant overhead pales in comparison, | https://karpathy.ai/lexicap/0011-large.html#00:10:35.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and that means that almost all large problems are solved | https://karpathy.ai/lexicap/0011-large.html#00:10:38.800 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in the best possible way. | https://karpathy.ai/lexicap/0011-large.html#00:10:44.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Today, we already have a universal problem solver like that. | https://karpathy.ai/lexicap/0011-large.html#00:10:45.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | However, it's not practical because the overhead, | https://karpathy.ai/lexicap/0011-large.html#00:10:50.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | the constant overhead is so large | https://karpathy.ai/lexicap/0011-large.html#00:10:54.560 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that for the small kinds of problems | https://karpathy.ai/lexicap/0011-large.html#00:10:57.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that we want to solve in this little biosphere. | https://karpathy.ai/lexicap/0011-large.html#00:11:00.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | By the way, when you say small, | https://karpathy.ai/lexicap/0011-large.html#00:11:04.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | you're talking about things that fall | https://karpathy.ai/lexicap/0011-large.html#00:11:06.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | within the constraints of our computational systems. | https://karpathy.ai/lexicap/0011-large.html#00:11:08.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So they can seem quite large to us mere humans, right? | https://karpathy.ai/lexicap/0011-large.html#00:11:10.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | That's right, yeah. | https://karpathy.ai/lexicap/0011-large.html#00:11:14.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So they seem large and even unsolvable | https://karpathy.ai/lexicap/0011-large.html#00:11:15.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in a practical sense today, | https://karpathy.ai/lexicap/0011-large.html#00:11:19.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | but they are still small compared to almost all problems | https://karpathy.ai/lexicap/0011-large.html#00:11:21.040 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | because almost all problems are large problems, | https://karpathy.ai/lexicap/0011-large.html#00:11:24.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which are much larger than any constant. | https://karpathy.ai/lexicap/0011-large.html#00:11:28.480 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Do you find it useful as a person | https://karpathy.ai/lexicap/0011-large.html#00:11:31.920 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | who has dreamed of creating a general learning system, | https://karpathy.ai/lexicap/0011-large.html#00:11:34.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | has worked on creating one, | https://karpathy.ai/lexicap/0011-large.html#00:11:38.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | has done a lot of interesting ideas there, | https://karpathy.ai/lexicap/0011-large.html#00:11:39.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to think about P versus NP, | https://karpathy.ai/lexicap/0011-large.html#00:11:42.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | this formalization of how hard problems are, | https://karpathy.ai/lexicap/0011-large.html#00:11:46.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | how they scale, | https://karpathy.ai/lexicap/0011-large.html#00:11:50.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | this kind of worst case analysis type of thinking, | https://karpathy.ai/lexicap/0011-large.html#00:11:52.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | do you find that useful? | https://karpathy.ai/lexicap/0011-large.html#00:11:55.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Or is it only just a mathematical, | https://karpathy.ai/lexicap/0011-large.html#00:11:56.800 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | it's a set of mathematical techniques | https://karpathy.ai/lexicap/0011-large.html#00:12:00.520 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to give you intuition about what's good and bad. | https://karpathy.ai/lexicap/0011-large.html#00:12:02.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | So P versus NP, that's super interesting | https://karpathy.ai/lexicap/0011-large.html#00:12:05.720 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | from a theoretical point of view. | https://karpathy.ai/lexicap/0011-large.html#00:12:09.440 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And in fact, as you are thinking about that problem, | https://karpathy.ai/lexicap/0011-large.html#00:12:11.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | you can also get inspiration | https://karpathy.ai/lexicap/0011-large.html#00:12:14.560 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | for better practical problem solvers. | https://karpathy.ai/lexicap/0011-large.html#00:12:17.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | On the other hand, we have to admit | https://karpathy.ai/lexicap/0011-large.html#00:12:21.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that at the moment, the best practical problem solvers | https://karpathy.ai/lexicap/0011-large.html#00:12:23.320 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | for all kinds of problems that we are now solving | https://karpathy.ai/lexicap/0011-large.html#00:12:28.360 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | through what is called AI at the moment, | https://karpathy.ai/lexicap/0011-large.html#00:12:31.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | they are not of the kind | https://karpathy.ai/lexicap/0011-large.html#00:12:33.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that is inspired by these questions. | https://karpathy.ai/lexicap/0011-large.html#00:12:36.240 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | There we are using general purpose computers | https://karpathy.ai/lexicap/0011-large.html#00:12:38.760 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | such as recurrent neural networks, | https://karpathy.ai/lexicap/0011-large.html#00:12:42.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | but we have a search technique | https://karpathy.ai/lexicap/0011-large.html#00:12:44.800 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | which is just local search gradient descent | https://karpathy.ai/lexicap/0011-large.html#00:12:46.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | to try to find a program | https://karpathy.ai/lexicap/0011-large.html#00:12:50.280 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that is running on these recurrent networks, | https://karpathy.ai/lexicap/0011-large.html#00:12:51.920 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | such that it can solve some interesting problems | https://karpathy.ai/lexicap/0011-large.html#00:12:54.400 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | such as speech recognition or machine translation | https://karpathy.ai/lexicap/0011-large.html#00:12:58.200 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | and something like that. | https://karpathy.ai/lexicap/0011-large.html#00:13:01.880 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | And there is very little theory behind the best solutions | https://karpathy.ai/lexicap/0011-large.html#00:13:03.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | that we have at the moment that can do that. | https://karpathy.ai/lexicap/0011-large.html#00:13:08.120 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Do you think that needs to change? | https://karpathy.ai/lexicap/0011-large.html#00:13:10.840 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Do you think that will change? | https://karpathy.ai/lexicap/0011-large.html#00:13:12.680 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | Or can we go, can we create a general intelligent systems | https://karpathy.ai/lexicap/0011-large.html#00:13:14.080 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | without ever really proving that that system is intelligent | https://karpathy.ai/lexicap/0011-large.html#00:13:17.160 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | in some kind of mathematical way, | https://karpathy.ai/lexicap/0011-large.html#00:13:20.640 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | solving machine translation perfectly | https://karpathy.ai/lexicap/0011-large.html#00:13:22.600 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | or something like that, | https://karpathy.ai/lexicap/0011-large.html#00:13:25.000 |
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11 | within some kind of syntactic definition of a language, | https://karpathy.ai/lexicap/0011-large.html#00:13:26.320 |
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